From 5061f24ea3c277c1dc42c84793510b60b7aceba0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Jind=C5=99ich=20B=C3=A4r?= <jindrichbar@gmail.com>
Date: Mon, 9 Sep 2024 08:31:36 +0200
Subject: [PATCH 1/9] chore: throw on build with broken anchors

---
 docusaurus.config.js | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/docusaurus.config.js b/docusaurus.config.js
index be899e25d0..c84dc08493 100644
--- a/docusaurus.config.js
+++ b/docusaurus.config.js
@@ -51,6 +51,8 @@ module.exports = {
     /** @type {import('@docusaurus/types').ReportingSeverity} */ ('throw'),
     onBrokenMarkdownLinks:
     /** @type {import('@docusaurus/types').ReportingSeverity} */ ('throw'),
+    onBrokenAnchors:
+    /** @type {import('@docusaurus/types').ReportingSeverity} */ ('throw'),
     themes: [
         [
             require.resolve('./apify-docs-theme'),

From cf5f49297ca51e36af6a9e88511004696706f044 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Mon, 7 Oct 2024 14:31:16 +0200
Subject: [PATCH 2/9] fix broken anchor links

---
 .../deploying_your_code/input_schema.md       |  10 +-
 .../bypassing_anti_scraping.md                |   2 +-
 .../solutions/handling_migrations.md          |   2 +-
 .../tasks_and_storage.md                      |   2 +-
 .../getting_started/inputs_outputs.md         |   4 +-
 .../apify_scrapers/cheerio_scraper.md         |  34 +-
 .../apify_scrapers/getting_started.md         |  58 +-
 .../apify_scrapers/puppeteer_scraper.md       |  40 +-
 .../tutorials/apify_scrapers/web_scraper.md   |  34 +-
 .../analyzing_pages_and_fixing_errors.md      |   2 +-
 .../filter_blocked_requests_using_sessions.md |   4 +-
 .../tutorials/php/using_apify_from_php.md     |   4 +-
 .../data_extraction/using_devtools.md         |   2 +-
 sources/platform/storage/dataset.md           | 459 --------------
 .../platform/storage/images/datasets-app.png  | Bin 73072 -> 0 bytes
 .../storage/images/datasets-detail.png        | Bin 114389 -> 0 bytes
 .../platform/storage/images/find-store-id.png | Bin 40396 -> 0 bytes
 .../storage/images/key-value-stores-app.png   | Bin 73815 -> 0 bytes
 .../images/key-value-stores-detail.png        | Bin 53129 -> 0 bytes
 .../platform/storage/images/overview-api.png  | Bin 100286 -> 0 bytes
 .../storage/images/request-queue-app.png      | Bin 83407 -> 0 bytes
 .../storage/images/request-queue-detail.png   | Bin 82521 -> 0 bytes
 sources/platform/storage/index.md             |  37 --
 sources/platform/storage/key_value_store.md   | 325 ----------
 sources/platform/storage/request_queue.md     | 583 ------------------
 sources/platform/storage/usage.md             | 181 ------
 26 files changed, 99 insertions(+), 1684 deletions(-)
 delete mode 100644 sources/platform/storage/dataset.md
 delete mode 100644 sources/platform/storage/images/datasets-app.png
 delete mode 100644 sources/platform/storage/images/datasets-detail.png
 delete mode 100644 sources/platform/storage/images/find-store-id.png
 delete mode 100644 sources/platform/storage/images/key-value-stores-app.png
 delete mode 100644 sources/platform/storage/images/key-value-stores-detail.png
 delete mode 100644 sources/platform/storage/images/overview-api.png
 delete mode 100644 sources/platform/storage/images/request-queue-app.png
 delete mode 100644 sources/platform/storage/images/request-queue-detail.png
 delete mode 100644 sources/platform/storage/index.md
 delete mode 100644 sources/platform/storage/key_value_store.md
 delete mode 100644 sources/platform/storage/request_queue.md
 delete mode 100644 sources/platform/storage/usage.md

diff --git a/sources/academy/platform/deploying_your_code/input_schema.md b/sources/academy/platform/deploying_your_code/input_schema.md
index fb0ba9b564..c684d5b9cd 100644
--- a/sources/academy/platform/deploying_your_code/input_schema.md
+++ b/sources/academy/platform/deploying_your_code/input_schema.md
@@ -5,7 +5,7 @@ sidebar_position: 2
 slug: /deploying-your-code/input-schema
 ---
 
-# Input schema {#input-schema}
+# Input schema
 
 **Learn how to generate a user interface on the platform for your Actor's input with a single file - the INPUT_SCHEMA.json file.**
 
@@ -30,7 +30,7 @@ In the root of our project, we'll create a file named **INPUT_SCHEMA.json** and
 
 The **title** and **description** simply describe what the input schema is for, and a bit about what the Actor itself does.
 
-## Properties {#properties}
+## Properties
 
 In order to define all of the properties our Actor is expecting, we must include them within an object with a key of **properties**.
 
@@ -53,7 +53,7 @@ Each property's key corresponds to the name we're expecting within our code, whi
 
 ## Property types & editor types {#property-types}
 
-Within our new **numbers** property, there are two more fields we must specify. Firstly, we must let the platform know that we're expecting an array of numbers with the **type** field. Then, we should also instruct Apify on which UI component to render for this input property. In our case, we have an array of numbers, which means we should use the **json** editor type that we discovered in the ["array" section](/platform/actors/development/actor-definition/input-schema#array) of the input schema documentation. We could also use **stringList**, but then we'd have to parse out the numbers from the strings.
+Within our new **numbers** property, there are two more fields we must specify. Firstly, we must let the platform know that we're expecting an array of numbers with the **type** field. Then, we should also instruct Apify on which UI component to render for this input property. In our case, we have an array of numbers, which means we should use the **json** editor type that we discovered in the ["array" section](/platform/actors/development/actor-definition/input-schema/specification/v1#array) of the input schema documentation. We could also use **stringList**, but then we'd have to parse out the numbers from the strings.
 
 ```json
 {
@@ -72,7 +72,7 @@ Within our new **numbers** property, there are two more fields we must specify.
 }
 ```
 
-## Required fields {#required-fields}
+## Required fields
 
 The great thing about building an input schema is that it will automatically validate your inputs based on their type, maximum value, minimum value, etc. Sometimes, you want to ensure that the user will always provide input for certain fields, as they are crucial to the Actor's run. This can be done by using the **required** field and passing in the names of the fields you'd like to require.
 
@@ -96,7 +96,7 @@ The great thing about building an input schema is that it will automatically val
 
 For our case, we've made the **numbers** field required, as it is crucial to our Actor's run.
 
-## Final thoughts {#final-thoughts}
+## Final thoughts
 
 Here is what the input schema we wrote will render on the platform:
 
diff --git a/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md b/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
index 4e4fa6f226..ccc9c62f3e 100644
--- a/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
+++ b/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
@@ -20,7 +20,7 @@ You might have already noticed that we've been using the **RESIDENTIAL** proxy g
 ## Learning 🧠 {#learning}
 
 - Skim [this page](https://apify.com/proxy) for a general idea of Apify Proxy.
-- Give the [proxy documentation](/platform/proxy#our-proxies) a solid readover (feel free to skip most of the examples).
+- Give the [proxy documentation](/platform/proxy) a solid readover (feel free to skip most of the examples).
 - Check out the [anti-scraping guide](../../webscraping/anti_scraping/index.md).
 - Gain a solid understanding of the [SessionPool](https://crawlee.dev/api/core/class/SessionPool).
 - Look at a few Actors on the [Apify store](https://apify.com/store). How are they utilizing proxies?
diff --git a/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md b/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
index 2cfba52a4d..87c5450f60 100644
--- a/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
+++ b/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
@@ -231,7 +231,7 @@ That's everything! Now, even if the Actor migrates (or is gracefully aborted and
 
 **A:** It's not best to use this option by default. If it fails, there must be a reason, which would need to be thought through first - meaning that the edge case of failing should be handled when resurrecting the Actor. The state should be persisted beforehand.
 
-**Q: Migrations happen randomly, but by [aborting gracefully](/platform/actors/running#aborting-runs), you can simulate a similar situation. Try this out on the platform and observe what happens. What changes occur, and what remains the same for the restarted Actor's run?**
+**Q: Migrations happen randomly, but by [aborting gracefully](/platform/actors/running/runs-and-builds#aborting-runs), you can simulate a similar situation. Try this out on the platform and observe what happens. What changes occur, and what remains the same for the restarted Actor's run?**
 
 **A:** After aborting or throwing an error mid-process, it manages to start back from where it was upon resurrection.
 
diff --git a/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md b/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
index 8d42fc6d18..98449a5e38 100644
--- a/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
+++ b/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
@@ -24,7 +24,7 @@ Storage allows us to save persistent data for further processing. As you'll lear
 ## Learning 🧠 {#learning}
 
 - Check out [the docs about Actor tasks](/platform/actors/running/tasks).
-- Read about the [two main storage options](/platform/storage#dataset) on the Apify platform.
+- Read about the [three main storage options](/platform/storage) on the Apify platform.
 - Understand the [crucial differences between named and unnamed storages](/platform/storage/usage#named-and-unnamed-storages).
 - Learn about the [`Dataset`](/sdk/js/reference/class/Dataset) and [`KeyValueStore`](/sdk/js/reference/class/KeyValueStore) objects in the Apify SDK.
 
diff --git a/sources/academy/platform/getting_started/inputs_outputs.md b/sources/academy/platform/getting_started/inputs_outputs.md
index b7a95a8e66..10bda52d93 100644
--- a/sources/academy/platform/getting_started/inputs_outputs.md
+++ b/sources/academy/platform/getting_started/inputs_outputs.md
@@ -65,7 +65,7 @@ Then, replace everything in **INPUT_SCHEMA.json**  with this:
 }
 ```
 
-> If you're interested in learning more about how the code works, and what the **INPUT_SCHEMA.json** means, read about [inputs](/sdk/js/docs/examples/accept-user-input) and [adding data to a dataset](/sdk/js/docs/examples/add-data-to-dataset) in the Apify SDK documentation, and refer to the [input schema docs](/platform/actors/development/actor-definition/input-schema#integer).
+> If you're interested in learning more about how the code works, and what the **INPUT_SCHEMA.json** means, read about [inputs](/sdk/js/docs/examples/accept-user-input) and [adding data to a dataset](/sdk/js/docs/examples/add-data-to-dataset) in the Apify SDK documentation, and refer to the [input schema docs](/platform/actors/development/actor-definition/input-schema/specification/v1).
 
 Finally, **Save** and **Build** the Actor just as you did in the previous lesson.
 
@@ -89,7 +89,7 @@ On the results tab, there are a whole lot of options for which format to view/do
 
 There's our solution! Did it work for you as well? Now, we can download the data right from the results tab to be used elsewhere, or even programmatically retrieve it by using [Apify's API](/api/v2) (we'll be discussing how to do this in the next lesson).
 
-It's important to note that the default dataset of the Actor, which we pushed our solution to, will be retained for 7 days. If we wanted the data to be retained for an indefinite period of time, we'd have to use a named dataset. For more information about named storages vs unnamed storages, read a bit about [data retention on the Apify platform](/platform/storage#data-retention).
+It's important to note that the default dataset of the Actor, which we pushed our solution to, will be retained for 7 days. If we wanted the data to be retained for an indefinite period of time, we'd have to use a named dataset. For more information about named storages vs unnamed storages, read a bit about [data retention on the Apify platform](/platform/storage/usage#data-retention).
 
 ## Next up {#next}
 
diff --git a/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md b/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
index a1ae5c7c1a..b5fef6d886 100644
--- a/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
@@ -17,7 +17,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## [](#getting-to-know-our-tools) Getting to know our tools
+## Getting to know our tools
 
 In the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started) tutorial, we've confirmed that the scraper works as expected,
 so now it's time to add more data to the results.
@@ -36,7 +36,7 @@ Now that's out of the way, let's open one of the Actor detail pages in the Store
 > If you're wondering why we're using Web Scraper as an example instead of Cheerio Scraper,
 it's only because we didn't want to triple the number of screenshots we needed to make. Lazy developers!
 
-## [](#building-our-page-function) Building our Page function
+## Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -52,7 +52,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### [](#title) Title
+### Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -79,7 +79,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#description) Description
+### Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -98,7 +98,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#modified-date) Modified date
+### Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -126,7 +126,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### [](#run-count) Run count
+### Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -165,7 +165,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### [](#wrapping-it-up) Wrapping it up
+### Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -243,13 +243,13 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#test-run) Test run
+### Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## [](#pagination) Pagination
+## Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -265,7 +265,7 @@ with Cheerio? We don't have a browser to do it and we only have the HTML of the
 answer is that we can't click a button. Does that mean that we cannot get the data at all? Usually not,
 but it requires some clever DevTools-Fu.
 
-### [](#analyzing-the-page) Analyzing the page
+### Analyzing the page
 
 While with Web Scraper and **Puppeteer Scraper** ([apify/puppeteer-scraper](https://apify.com/apify/puppeteer-scraper)), we could get away with simply clicking a button,
 with Cheerio Scraper we need to dig a little deeper into the page's architecture. For this, we will use
@@ -281,7 +281,7 @@ Then we click the **Show more** button and wait for incoming requests to appear
 Now, this is interesting. It seems that we've only received two images after clicking the button and no additional
 data. This means that the data about Actors must already be available in the page and the **Show more** button only displays it. This is good news.
 
-### [](#finding-the-actors) Finding the Actors
+### Finding the Actors
 
 Now that we know the information we seek is already in the page, we just need to find it. The first Actor in the store
 is Web Scraper, so let's try using the search tool in the **Elements** tab to find some reference to it. The first
@@ -310,7 +310,7 @@ so you might already be wondering, can I just make one request to the store to g
 and then parse it out and be done with it in a single request? Yes you can! And that's the power
 of clever page analysis.
 
-### [](#using-the-data-to-enqueue-all-actor-details) Using the data to enqueue all Actor details
+### Using the data to enqueue all Actor details
 
 We don't really need to go to all the Actor details now, but for the sake of practice, let's imagine we only found
 Actor names such as `cheerio-scraper` and their owners, such as `apify` in the data. We will use this information
@@ -343,7 +343,7 @@ how to route those requests.
 >If you're wondering how we know the structure of the URL, see the [Getting started
 with Apify Scrapers](./getting_started.md) tutorial again.
 
-### [](#plugging-it-into-the-page-function) Plugging it into the Page function
+### Plugging it into the Page function
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it.
@@ -412,13 +412,13 @@ to get all results with Cheerio only and other times it takes hours of research.
 the right scraper for your job. But don't get discouraged. Often times, the only thing you will ever need is to
 define a correct Pseudo URL. Do your research first before giving up on Cheerio Scraper.
 
-## [](#downloading-our-scraped-data) Downloading the scraped data
+## Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### [](#clean-items) Clean items
+### Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -496,11 +496,11 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## [](#final-word) Final word
+## Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## [](#whats-next) What's next
+## What's next
 
 * Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 * [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/apify_scrapers/getting_started.md b/sources/academy/tutorials/apify_scrapers/getting_started.md
index 140364c178..6c1a926647 100644
--- a/sources/academy/tutorials/apify_scrapers/getting_started.md
+++ b/sources/academy/tutorials/apify_scrapers/getting_started.md
@@ -13,7 +13,7 @@ slug: /apify-scrapers/getting-started
 
 Welcome to the getting started tutorial! It will walk you through creating your first scraping task step by step. You will learn how to set up all the different configuration options, code a **Page function** (`pageFunction`), and finally download the scraped data either as an Excel sheet or in another format, such as JSON or CSV. But first, let's give you a brief introduction to web scraping with Apify.
 
-## [](#what-is-an-apify-scraper) What is an Apify scraper
+## What is an Apify scraper
 
 It doesn't matter whether you arrived here from **Web Scraper** ([apify/web-scraper](https://apify.com/apify/web-scraper)), **Puppeteer Scraper** ([apify/puppeteer-scraper](https://apify.com/apify/puppeteer-scraper)) or **Cheerio Scraper** ([apify/cheerio-scraper](https://apify.com/apify/cheerio-scraper)).  All of them are **Actors** and for now, let's just think of an **Actor** as an application that you can use with your own configuration. **apify/web-scraper** is therefore an application called **web-scraper**, built by **apify**, that you can configure to scrape any webpage. We call these configurations **tasks**.
 
@@ -21,7 +21,7 @@ It doesn't matter whether you arrived here from **Web Scraper** ([apify/web-scra
 
 You can create 10 different **tasks** for 10 different websites, with very different options, but there will always be just one **Actor**, the `apify/*-scraper` you chose. This is the essence of tasks. They are nothing but **saved configurations** of the Actor that you can run easily and repeatedly.
 
-## [](#trying-it-out) Trying it out
+## Trying it out
 
 Depending on how you arrived at this tutorial, you may already have your first task created for the scraper of your choice. If not, the easiest way is to go to [Apify Store](https://console.apify.com/actors#/store/) and select the Actor you want to base your task on. Then, click the **Create a new task** button in the top-right corner.
 
@@ -29,7 +29,7 @@ Depending on how you arrived at this tutorial, you may already have your first t
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/actor-selection.webp)
 
-### [](#running-a-task) Running a task
+### Running a task
 
 This takes you to the **Input and options** tab of the task configuration. Before we delve into the details, let's just see how the example works. You can see that there are already some pre-configured input values. It says that the task should visit **https://apify.com** and all its subpages, such as **https://apify.com/contact** and scrape some data using the provided `pageFunction`, specifically the `<title>` of the page and its URL.
 
@@ -39,7 +39,7 @@ Scroll down to the **Performance and limits** section and set the **Max pages pe
 
 Now click **Save & Run**! *(in the bottom-left part of your screen)*
 
-### [](#the-run-detail) The run detail
+### The run detail
 
 After clicking **Save & Run**, the window will change to the run detail. Here, you will see the run's log. If it seems that nothing is happening, don't worry, it takes a few seconds for the run to fully boot up. In under a minute, you should have the 10 pages scraped. You will know that the run successfully completed when the `RUNNING` card in top-left corner changes to `SUCCEEDED`.
 
@@ -51,13 +51,13 @@ Now that the run has `SUCCEEDED`, click on the glowing **Results** card to see t
 
 Good job! We've run our first task and got some results. Let's learn how to change the default configuration to scrape something more interesting than just the page's `<title>`.
 
-## [](#creating-your-own-task) Creating your own task
+## Creating your own task
 
 Before we jump into the scraping itself, let's just have a quick look at the user interface that's available to us. Click on the task's name in the top-left corner to visit the task's configuration.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/task-name.webp)
 
-### [](#input) Input and options
+### Input and options
 
 The **Input** tab is where we started and it's the place where you create your scraping configuration. The Actor's creator prepares the **Input** form so that you can easily tell the Actor what to do. Feel free to check the tooltips of the various options to get a better idea of what they do. To display the tooltip, just click the question mark next to each input field's name.
 
@@ -67,33 +67,33 @@ Below the input fields are the Build, Timeout and Memory options. Let's keep the
 
 > Timeouts are there to prevent tasks from running forever. Always set a reasonable timeout to prevent a rogue task from eating up all your compute units.
 
-### [](#settings) Settings
+### Settings
 
 In the settings tab, you can set options that are common to all tasks and not directly related to the Actor's purpose. Unless you've already changed the task's name, it's set to **my-task**, so why not try changing it to **my-first-scraper** and clicking **Save**.
 
-### [](#runs) Runs
+### Runs
 
 You can find all the task runs and their detail pages here. Every time you start a task, it will appear here in the list. Apify securely stores your ten most recent runs indefinitely, ensuring your records are always accessible. All of your task's runs and their outcomes, beyond the latest ten, will be stored here for the data retention period, [which you can find under your plan](https://apify.com/pricing).
 
-### [](#webhooks) Webhooks
+### Webhooks
 
 Webhooks are a feature that help keep you aware of what's happening with your tasks. You can set them up to inform you when a task starts, finishes, fails etc., or you can even use them to run more tasks, depending on the outcome of the original one. [See webhooks documentation](/platform/integrations/webhooks).
 
-### [](#readme) Information
+### Information
 
 Since tasks are just configurations for Actors, this tab shows you all the information about the underlying Actor, the Apify scraper of your choice. You can see the available versions and their READMEs - it's always a good idea to read an Actor's README first before creating a task for it.
 
-### [](#api) API
+### API
 
 The API tab gives you a quick overview of all the available API calls in case you would like to use your task programmatically. It also includes links to detailed API documentation. You can even try it out immediately using the **Test endpoint** button.
 
 > Never share a URL containing the authentication token (`?token=...` parameter in the URLs), as this will compromise your account's security.
 
-## [](#scraping-theory) Scraping theory
+## Scraping theory
 
 Since this is a tutorial, we'll be scraping our own website. [Apify Store](https://apify.com/store) is a great candidate for some scraping practice. It's a page built on popular technologies, which displays a lot of different items in various categories, just like an online store, a typical scraping target, would.
 
-### [](#the-goal) The goal
+### The goal
 
 We want to create a scraper that scrapes all the Actors in the store and collects the following attributes for each Actor:
 
@@ -106,7 +106,7 @@ We want to create a scraper that scrapes all the Actors in the store and collect
 
 Some of this information may be scraped directly from the listing pages, but for the rest, we will need to visit the detail pages of all the Actors.
 
-### [](#the-start-url) The start URL
+### The start URL
 
 Let's start with something simple. In the **Input** tab of the task we have, we'll change the **Start URL** from **https://apify.com**. This will tell the scraper to start by opening a different URL. You can add more **Start URL**s or even [use a file with a list of thousands of them](#-crawling-the-website-with-pseudo-urls), but in this case, we'll be good with just one.
 
@@ -124,7 +124,7 @@ We also need to somehow distinguish the **Start URL** from all the other URLs th
 }
 ```
 
-### [](#filtering-with-a-link-selector) Filtering with a Link selector
+### Filtering with a Link selector
 
 The **Link selector**, together with **Pseudo URL**s, are your URL matching arsenal. The Link selector is a CSS selector and its purpose is to select the HTML elements where the scraper should look for URLs. And by looking for URLs, we mean finding the elements' `href` attributes. For example, to enqueue URLs from `<div class="my-class" href=...>` tags, we would enter `'div.my-class'`.
 
@@ -138,7 +138,7 @@ div.item > a
 
 Save it as your **Link selector**. If you're wondering how we figured this out, just follow along with the tutorial. By the time we finish, you'll know why we used this selector, too.
 
-### [](#crawling-the-website-with-pseudo-url) Crawling the website with pseudo URLs
+### Crawling the website with pseudo URLs
 
 What is a **Pseudo URL**? Let us explain. Before we can start scraping the Actor details, we need to find all the links to the details. If the links follow a set structure, we can use a certain pattern to describe this structure. And that's what a **Pseudo URL** is. A pattern that describes a URL structure. By setting a **Pseudo URL**, all links that follow the given structure will automatically be added to the crawling queue.
 
@@ -188,15 +188,15 @@ Let's use the above **Pseudo URL** in our task. We should also add a label as we
 }
 ```
 
-### [](#test-run) Test run
+### Test run
 
 Now that we've added some configuration, it's time to test it. Just run the task, keeping the **Max pages per run** set to `10` and the `pageFunction` as it is. You should see in the log that the scraper first visits the **Start URL** and then several of the Actor details matching the **Pseudo URL**.
 
-## [](#the-page-function) The page function
+## The page function
 
 The `pageFunction` is a JavaScript function that gets executed for each page the scraper visits. To figure out how to create it, you must first inspect the page's structure to get an idea of its inner workings. The best tools for that are a browser's inbuilt developer tools - DevTools.
 
-### [](#using-devtools) Using DevTools
+### Using DevTools
 
 Open [Apify Store](https://apify.com/store) in the Chrome browser (or use any other browser, just note that the DevTools may differ slightly) and open the DevTools, either by right-clicking on the page and selecting **Inspect** or by pressing **F12**.
 
@@ -208,11 +208,11 @@ You'll see that the Element tab jumps to the first `<title>` element of the curr
 
 > For the sake of brevity, we won't go into the details of using the DevTools in this tutorial. If you're just starting out with DevTools, this [Google tutorial](https://developers.google.com/web/tools/chrome-devtools/) is a good place to begin.
 
-### [](#understanding-context) Understanding `context`
+### Understanding `context`
 
 The `pageFunction` has access to global variables such as `window` and `document`, which are provided by the browser, as well as to `context`, which is the `pageFunction`'s single argument. `context` carries a lot of useful information and helpful functions, which are described in the Actor's README.
 
-### [](#new-page-function-boilerplate) New page function boilerplate
+### New page function boilerplate
 
 We know that we'll visit two kinds of pages, the list page (**Start URL**) and the detail pages (enqueued using the **Pseudo URL**). We want to enqueue links on the list page and scrape data on the detail page.
 
@@ -238,19 +238,19 @@ async function pageFunction(context) {
 
 This may seem like a lot of new information, but it's all connected to our earlier configuration.
 
-### [](#context-request) `context.request`
+### `context.request`
 
 The `request` is an instance of the [`Request`](https://sdk.apify.com/docs/api/request) class and holds information about the currently processed page, such as its `url`. Each `request` also has the `request.userData` property of type `Object`. While configuring the **Start URL** and the **Pseudo URL**, we gave them a `label`. We're now using them in the `pageFunction` to distinguish between the store page and the detail pages.
 
-### [](#context-skip-links) `context.skipLinks()`
+### `context.skipLinks()`
 
 When a **Pseudo URL** is set, the scraper attempts to enqueue matching links on each page it visits. `skipLinks()` is used to tell the scraper that we don't want this to happen on the current page.
 
-### [](#context-log) `context.log`
+### `context.log`
 
 `log` is used for printing messages to the console. You may be tempted to use `console.log()`, but this will not work unless you turn on the **Browser log** option. `log.info()` should be used for general messages, but you can also use `log.debug()` for messages that will only be shown when you turn on the **Debug log** option. [See the docs for more info](https://sdk.apify.com/docs/api/log).
 
-### [](#the-page-functions-return-value) The page function's return value
+### The page function's return value
 
 The `pageFunction` may only return nothing, `null`, `Object` or `Object[]`. If an `Object` is returned, it will be saved as a single result. Returning an `Array` of `Objects` will save each item in the array as a result.
 
@@ -272,7 +272,7 @@ will produce the following table:
 | ----- | --- |
 | Web Scraping, Data Extraction and Automation - Apify | https://apify.com |
 
-## [](#scraper-lifecycle) Scraper lifecycle
+## Scraper lifecycle
 
 Now that we're familiar with all the pieces in the puzzle, we'll quickly take a look at the scraper lifecycle,
 or in other words, what the scraper actually does when it scrapes. It's quite straightforward.
@@ -288,7 +288,7 @@ The scraper:
 
 > When you're not using the request queue, the scraper just repeats steps 1 and 2. You would not use the request queue when you already know all the URLs you want to visit. For example, when you have a pre-existing list of a thousand URLs that you uploaded as a text file. Or when scraping just a single URL.
 
-## [](#scraping-practice) Scraping practice
+## Scraping practice
 
 We've covered all the concepts that we need to understand to successfully scrape the data in our goal,
 so let's get to it and start with something really simple. We will only output data that are already available
@@ -301,7 +301,7 @@ const { url } = request;
 const uniqueIdentifier = url.split('/').slice(-2).join('/');
 ```
 
-### [](#test-run-2) Test run 2
+### Test run 2
 
 We'll add our first data to the `pageFunction` and carry out a test run to see that everything works as expected.
 
@@ -333,7 +333,7 @@ async function pageFunction(context) {
 
 Now **Save & Run** the task and once it finishes, check the dataset by clicking on the **Results** card. Click **Preview** and you should see the URLs and unique identifiers scraped. Great job!
 
-## [](#choosing-sides) Choosing sides
+## Choosing sides
 
 Up until now, everything has been the same for all the Apify scrapers. Whether you're using Web Scraper,
 Puppeteer Scraper or Cheerio Scraper, what you've learned now will always be the same.
diff --git a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
index bf41a38478..4ea3bd9ee4 100644
--- a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
@@ -17,7 +17,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## [](#getting-to-know-our-tools) Getting to know our tools
+## Getting to know our tools
 
 In the [Getting started with Apify scrapers](https://apify.com/docs/scraping/tutorial/introduction) tutorial, we've confirmed that the scraper works as expected,
 so now it's time to add more data to the results.
@@ -33,7 +33,7 @@ you'll need to visit its [documentation](https://pptr.dev/) and really dive deep
 it in a nice, manageable UI. It provides almost all of its features in a format that is much easier to grasp
 when first trying to scrape using Puppeteer.
 
-### [](#web-scraper-differences) Web Scraper differences
+### Web Scraper differences
 
 At first glance, it may seem like **Web Scraper** ([apify/web-scraper](https://apify.com/apify/web-scraper)) and Puppeteer Scraper are almost the same. Well, they are.
 In fact, Web Scraper uses Puppeteer underneath. The difference is the amount of control they give you.
@@ -52,7 +52,7 @@ Now that's out of the way, let's open one of the Actor detail pages in the Store
 > If you're wondering why we're using Web Scraper as an example instead of Puppeteer Scraper,
 it's only because we didn't want to triple the number of screenshots we needed to make. Lazy developers!
 
-## [](#building-our-page-function) Building our Page function
+## Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -68,7 +68,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### [](#title) Title
+### Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -104,7 +104,7 @@ function allows you to run a function in the browser, with the selected element
 Here we use it to extract the text content of a `h1` element that's in the page. The return value of the function
 is automatically passed back to the Node.js context, so we receive an actual `string` with the element's text.
 
-### [](#description) Description
+### Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -131,7 +131,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#modified-date) Modified date
+### Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -174,7 +174,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### [](#run-count) Run count
+### Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -224,7 +224,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### [](#wrapping-it-up) Wrapping it up
+### Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -346,13 +346,13 @@ all the functions to start at the same time and only wait for all of them to fin
 concurrency or parallelism. Unless the functions need to be executed in a specific order, it's often a good idea
 to run them concurrently to speed things up.
 
-### [](#test-run) Test run
+### Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## [](#pagination) Pagination
+## Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -362,7 +362,7 @@ one needs to click the **Show more** button at the very bottom of the list. This
 that take you to the next page. If you encounter those, just make a **Pseudo URL** for those links and they will
 be automatically enqueued to the request queue. Use a label to let the scraper know what kind of URL it's processing.
 
-### [](#waiting-for-dynamic-content) Waiting for dynamic content
+### Waiting for dynamic content
 
 Before we talk about paginating, we need to have a quick look at dynamic content. Since Apify Store is a JavaScript
 application (a popular approach), the button might not exist in the page when the scraper runs the `pageFunction`.
@@ -407,7 +407,7 @@ await page.waitFor('.bad-class', { timeout: 5000 });
 
 With those tools, you should be able to handle any dynamic content the website throws at you.
 
-### [](#how-to-paginate)  How to paginate
+### How to paginate
 
 With the theory out of the way, this should be pretty easy. The algorithm is a loop:
 
@@ -491,7 +491,7 @@ already loaded and we're just waiting for the page to re-render so waiting for `
 that the button is not there. We don't want to stall the scraper for `30` seconds just to make sure that there's
 no button.
 
-### [](#pagination-page-function) Plugging it into the Page function
+### Plugging it into the Page function
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it.
@@ -584,13 +584,13 @@ it's probably just some typo.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/plugging-it-into-the-pagefunction.webp)
 
-## [](#downloading-our-scraped-data) Downloading the scraped data
+## Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### [](#clean-items) Clean items
+### Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -600,7 +600,7 @@ Clean items, on the other hand, include only the data you returned from the `pag
 
 To control this, open the **Advanced options** view on the **Dataset** tab.
 
-## [](#bonus-making-your-code-neater) Bonus: Making your code neater
+## Bonus: Making your code neater
 
 You may have noticed that the `pageFunction` gets quite bulky. To make better sense of your code and have an easier
 time maintaining or extending your task, feel free to define other functions inside the `pageFunction`
@@ -700,13 +700,13 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## [](#bonus-2-using-jquery-with-puppeteer-scraper)  Bonus 2: Using jQuery with Puppeteer Scraper
+## Bonus 2: Using jQuery with Puppeteer Scraper
 
 If you're familiar with the [jQuery library](https://jquery.com/), you may have looked at the scraping code and thought
 that it's unnecessarily complicated. That's probably up to everyone to decide on their own, but the good news is,
 you can easily use jQuery with Puppeteer Scraper too.
 
-### [](#injecting-jquery) Injecting jQuery
+### Injecting jQuery
 
 To be able to use jQuery, we first need to introduce it to the browser. Fortunately, we have a helper function to
 do just that: [`Apify.utils.puppeteer.injectJQuery`](https://sdk.apify.com/docs/api/puppeteer#puppeteerinjectjquerypage)
@@ -819,11 +819,11 @@ async function pageFunction(context) {
 injecting it outside of the browser. We're using the [`page.evaluate()`](https://pptr.dev/#?product=Puppeteer&show=api-pageevaluatepagefunction-args)
 function to run the script in the context of the browser and the return value is passed back to Node.js. Keep this in mind.
 
-## [](#final-word) Final word
+## Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## [](#whats-next) What's next?
+## What's next
 
 - Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 - [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/apify_scrapers/web_scraper.md b/sources/academy/tutorials/apify_scrapers/web_scraper.md
index 2f712b12b4..ba76c5cf93 100644
--- a/sources/academy/tutorials/apify_scrapers/web_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/web_scraper.md
@@ -18,7 +18,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## [](#getting-to-know-our-tools) Getting to know our tools
+## Getting to know our tools
 
 In the [Getting started with Apify scrapers](https://apify.com/docs/scraping/tutorial/introduction) tutorial,
 we've confirmed that the scraper works as expected, so now it's time to add more data to the results.
@@ -34,7 +34,7 @@ This will add a `context.jQuery` function that you can use.
 Now that's out of the way, let's open one of the Actor detail pages in the Store, for example
 the [Web Scraper](https://apify.com/apify/web-scraper) page and use our DevTools-Fu to scrape some data.
 
-## [](#building-our-page-function) Building our Page function
+## Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -50,7 +50,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### [](#title) Title
+### Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -78,7 +78,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#description) Description
+### Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -98,7 +98,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#modified-date) Modified date
+### Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -127,7 +127,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### [](#run-count) Run count
+### Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -167,7 +167,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### [](#wrapping-it-up) Wrapping it up
+### Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -244,13 +244,13 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#test-run) Test run
+### Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## [](#pagination) Pagination
+## Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -260,7 +260,7 @@ one needs to click the **Show more** button at the very bottom of the list. This
 that take you to the next page. If you encounter those, just make a **Pseudo URL** for those links and they will
 be automatically enqueued to the request queue. Use a label to let the scraper know what kind of URL it's processing.
 
-### [](#waiting-for-dynamic-content) Waiting for dynamic content
+### Waiting for dynamic content
 
 Before we talk about paginating, we need to have a quick look at dynamic content. Since Apify Store is a JavaScript
 application (a popular approach), the button might not exist in the page when the scraper runs the `pageFunction`.
@@ -302,7 +302,7 @@ await waitFor('.bad-class', { timeoutMillis: 5000 });
 
 With those tools, you should be able to handle any dynamic content the website throws at you.
 
-### [](#how-to-paginate) How to paginate
+### How to paginate
 
 With the theory out of the way, this should be pretty easy. The algorithm is a loop:
 
@@ -384,7 +384,7 @@ already loaded and we're just waiting for the page to re-render so waiting for `
 that the button is not there. We don't want to stall the scraper for `20` seconds just to make sure that there's
 no button.
 
-### [](#plugging-it-into-the-page-function) Plugging it into the pageFunction
+### Plugging it into the pageFunction
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it. And don't forget to destructure the `waitFor()`
@@ -459,13 +459,13 @@ it's probably just some typo.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/plugging-it-into-the-pagefunction.webp)
 
-## [](#downloading-our-scraped-data) Downloading the scraped data
+## Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### [](#clean-items) Clean items
+### Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -475,7 +475,7 @@ Clean items, on the other hand, include only the data you returned from the `pag
 
 To control this, open the **Advanced options** view on the **Dataset** tab.
 
-## [](#bonus-making-your-code-neater) Bonus: Making your code neater
+## Bonus: Making your code neater
 
 You may have noticed that the `pageFunction` gets quite bulky. To make better sense of your code and have an easier
 time maintaining or extending your task, feel free to define other functions inside the `pageFunction`
@@ -551,11 +551,11 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## [](#final-word) Final word
+## Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## [](#whats-next) What's next?
+## What's next
 
 - Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 - [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md b/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
index 6e42242171..9847ed3f68 100644
--- a/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
+++ b/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
@@ -127,7 +127,7 @@ Logging and snapshotting are great tools but once you reach a certain run size,
 
 ## With the Apify SDK {#with-the-apify-sdk}
 
-This example extends our snapshot solution above by creating a [named dataset](/platform/storage#named-and-unnamed-storages) (named datasets have infinite retention), where we will accumulate error reports. Those reports will explain what happened and will link to a saved snapshot, so we can do a quick visual check.
+This example extends our snapshot solution above by creating a [named dataset](/platform/storage/usage#named-and-unnamed-storages) (named datasets have infinite retention), where we will accumulate error reports. Those reports will explain what happened and will link to a saved snapshot, so we can do a quick visual check.
 
 ```js
 import { Actor } from 'apify';
diff --git a/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md b/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
index f107388cce..f12d3d3bbc 100644
--- a/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
+++ b/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
@@ -21,13 +21,13 @@ You want to crawl a website with a proxy pool, but most of your proxies are bloc
 
 5. The proxies actually got banned before anyone used them to crawl the website because they use anti-bot protection that bans proxies across websites (e.g. Cloudflare).
 
-Nobody can make sure that a proxy will work infinitely. The only real solution to this problem is to use [residential proxies](/platform/proxy#residential-proxy), but they can sometimes be too costly.
+Nobody can make sure that a proxy will work infinitely. The only real solution to this problem is to use [residential proxies](/platform/proxy/residential-proxy), but they can sometimes be too costly.
 
 However, usually, at least some of our proxies work. To crawl successfully, it is therefore imperative to handle blocked requests properly. You first need to discover that you are blocked, which usually means that either your request returned status greater or equal to 400 (simply it didn't return the proper response) or that the page displayed a captcha. To ensure that this bad request is retried, you usually just throw an error and it gets automatically retried later (our [SDK](/sdk/js/) handles this for you). Check out [this article](https://help.apify.com/en/articles/2190650-how-to-handle-blocked-requests-in-puppeteercrawler) as inspiration for how to handle this situation with `PuppeteerCrawler`  class.
 
 ### Solution
 
-Now we are able to retry bad requests and eventually unless all of our proxies get banned, we should be able to successfully crawl what we want. The problem is that it takes too long and our log is full of errors. Fortunately, we can overcome this with [proxy sessions](/platform/proxy#datacenter-proxy--username-params) (look at the proxy and SDK documentation for how to use them in your Actors.)
+Now we are able to retry bad requests and eventually unless all of our proxies get banned, we should be able to successfully crawl what we want. The problem is that it takes too long and our log is full of errors. Fortunately, we can overcome this with [proxy sessions](/platform/proxy/datacenter-proxy#username-parameters) (look at the proxy and SDK documentation for how to use them in your Actors.)
 
 First we define `sessions`  object at the top of our code (in global scope) to hold the state of our working sessions.
 
diff --git a/sources/academy/tutorials/php/using_apify_from_php.md b/sources/academy/tutorials/php/using_apify_from_php.md
index 885354b3b1..f55a8d41c9 100644
--- a/sources/academy/tutorials/php/using_apify_from_php.md
+++ b/sources/academy/tutorials/php/using_apify_from_php.md
@@ -84,7 +84,7 @@ echo \json_encode($data, JSON_PRETTY_PRINT);
 
 You should see information about the run, including its ID and the ID of its default [dataset](/platform/storage/dataset). Take note of these, we will need them later.
 
-## [](#getting-dataset) Getting the results from dataset
+## Getting the results from dataset {#getting-dataset}
 
 Actors usually store their output in a default dataset. The [Actor runs endpoint](/api/v2#/reference/actor-runs) lets you get overall info about an Actor run's default dataset.
 
@@ -126,7 +126,7 @@ echo \json_encode($parsedResponse, JSON_PRETTY_PRINT);
 
 All the available parameters are described in [our API reference](/api/v2#/reference/datasets/item-collection/get-items) and work both for all datasets.
 
-## [](#getting-key-value-store) Getting the results from key-value stores
+## Getting the results from key-value stores {#getting-key-value-store}
 
 Datasets are great for structured data, but are not suited for binary files like images or PDFs. In these cases, Actors store their output in [key-value stores](/platform/storage/key-value-store). One such Actor is the **HTML String To PDF** ([mhamas/html-string-to-pdf](https://apify.com/mhamas/html-string-to-pdf)) converter. Let's run it.
 
diff --git a/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md b/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
index 339bb9c18b..08c92dc6df 100644
--- a/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
+++ b/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
@@ -114,7 +114,7 @@ As you can see, we were able to extract information about the subwoofer, but the
 
 ### Finding child elements {#finding-child-elements}
 
-In the [Getting structured data from HTML](#getting-structured-data-from-html) section, we were browsing the elements in the **Elements** tab to find the element that contains all the data. We can use the same approach to find the individual data points as well.
+In the [Getting structured data from HTML](#getting-structured-data) section, we were browsing the elements in the **Elements** tab to find the element that contains all the data. We can use the same approach to find the individual data points as well.
 
 Start from the element that contains all data: `<div class="product-item...">` Then inspect all the elements nested within this element. You'll discover that:
 
diff --git a/sources/platform/storage/dataset.md b/sources/platform/storage/dataset.md
deleted file mode 100644
index 53c255f765..0000000000
--- a/sources/platform/storage/dataset.md
+++ /dev/null
@@ -1,459 +0,0 @@
----
-title: Dataset
-description: Store and export web scraping, crawling or data processing job results. Learn how to access and manage datasets in Apify Console or via API.
-sidebar_position: 9.2
-toc_max_heading_level: 4
-slug: /storage/dataset
----
-
-# Dataset
-
-**Store and export web scraping, crawling or data processing job results. Learn how to access and manage datasets in Apify Console or via API.**
-
-import Tabs from '@theme/Tabs';
-import TabItem from '@theme/TabItem';
-
----
-
-Dataset storage enables you to sequentially save and retrieve data. A unique dataset is automatically created and assigned to each Actor run when the first item is stored.
-
-Typically, datasets comprises results from web scraping, crawling, and data processing jobs. You can visualize this data in a table, where each object is forming a row and its attributes are represented as columns. You have the option to export data in various formats, including JSON, CSV, XML, Excel, HTML Table, RSS or JSONL.
-
-> Named datasets are retained indefinitely. <br/>
-> Unnamed datasets expire after 7 days unless otherwise specified. <br/> > [Learn more](usage.md#named-and-unnamed-storages)
-
-Dataset storage is _append-only_ - data can only be added and cannot be modified or deleted once stored.
-
-## Basic usage
-
-You can access your datasets in several ways:
-
-- [Apify Console](https://console.apify.com) - provides an easy-to-understand interface.
-- [Apify API](/api/v2#) - to access your datasets programmatically.
-- [Apify API client](/api) - to access your datasets from any Node.js/Python application.
-- [Apify SDKs](/sdk) - when building your own JavaScript/Python Actor.
-
-### Apify Console
-
-In [Apify Console](https://console.apify.com), you can view your datasets in the [Storage](https://console.apify.com/storage) section under the [Datasets](https://console.apify.com/storage?tab=datasets) tab.
-
-![Datasets in app](./images/datasets-app.png)
-
-To view or download a dataset:
-
-1. Click on its **Dataset ID**.
-2. Select the format & configure other options if desired in **Export dataset** section.
-3. Click **Download**.
-
-Utilize the **Actions** menu to modify the dataset's name, which also affects its [retention period](./usage.md#data-retention-data-retention), and to adjust [access rights](../collaboration/index.md). The **API** button allows you to explore and test the dataset's [API endpoints](/api/v2#/reference/datasets).
-
-![Datasets detail view](./images/datasets-detail.png)
-
-### Apify API
-
-The [Apify API](/api/v2#/reference/datasets) enables you programmatic access to your datasets using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods).
-
-If you are accessing your datasets using the `username~store-name` [store ID format](./index.md), you will need to use your secret API token. You can find the token (and your user ID) on the [Integrations](https://console.apify.com/account#/integrations)tab of **Settings** page of your Apify account.
-
-> When providing your API authentication token, we recommend using the request's `Authorization` header, rather than the URL. ([More info](../integrations/programming/api.md#authentication)).
-
-To retrieve a list of you datasets, send a GET request to the [Get list of datasets](/api/v2#/reference/datasets/get-list-of-datasets) endpoint.
-
-```text
-https://api.apify.com/v2/datasets
-```
-
-To get information about a dataset such as its creation time and item count, send a GET request to the [Get dataset](/api/v2#/reference/datasets/dataset/get-dataset) endpoint.
-
-```text
-https://api.apify.com/v2/datasets/{DATASET_ID}
-```
-
-To view a dataset's data, send a GET request to the [Get dataset items](/api/v2#/reference/datasets/item-collection/get-items) Apify API endpoint.
-
-```text
-https://api.apify.com/v2/datasets/{DATASET_ID}/items
-```
-
-Control the data export by appending a comma-separated list of fields to the `fields` query parameter. Likewise, you can also omit certain fields using the `omit` parameter.
-
-> If you fill both `omit` and `field` parameters with the same value, then >`omit` parameter will take precedence and the field is excluded from the >results.
-
-In addition, you can set the format in which you retrieve the data using the `?format=` parameter. The available formats are `json`, `jsonl`, `csv`, `html`, `xlsx`, `xml` and `rss`. The default value is `json`.
-
-To retrieve the `hotel` and `cafe` fields, you would send your GET request to the URL below.
-
-```text
-https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=json&fields=hotel%2Ccafe
-```
-
-> Use `%2C` instead of commas for URL encoding, as `%2C` represent a comma. For morn on URL encoding check out [this page](https://www.url-encode-decode.com)
-
-To add data to a dataset, issue a POST request to the [Put items](/api/v2#/reference/datasets/item-collection/put-items) endpoint with the data as a JSON object payload.
-
-```text
-https://api.apify.com/v2/datasets/{DATASET_ID}/items
-```
-
-> API data push to a dataset is capped at _200 requests per second_ to avoid overloading our servers.
-
-Example payload:
-
-```json
-[
-    {
-        "foo": "bar"
-    },
-    {
-        "foo": "hotel"
-    },
-    {
-        "foo": "cafe"
-    }
-]
-```
-
-For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/datasets).
-
-### Apify API Clients
-
-#### JavaScript API client
-
-The [JavaScript API client](/api/client/js/reference/class/DatasetClient) (`apify-client`) enables you access to your datasets from any Node.js application, whether hosted on the Apify platform or externally.
-
-After importing and initiating the client, you can save each dataset to a variable for easier access.
-
-```js
-const myDatasetClient = apifyClient.dataset('jane-doe/my-dataset');
-```
-
-You can then use that variable to [access the dataset's items and manage it](/api/client/js/reference/class/DatasetClient).
-
-> When using the [`.listItems()`](/api/client/js/reference/class/DatasetClient#listItems) method, if you fill both `omit` and `field` parameters with the same value, then `omit` parameter will take precedence and the field is excluded from the results.
-
-Check out the [JavaScript API client documentation](/api/client/js/reference/class/DatasetClient) for [help with setup](/api/client/js/docs) and more details.
-
-#### Python API client
-
-The [Python API client](/api/client/python/reference/class/DatasetClient) (`apify-client`) enables you access to your datasets from any Python application, whether it is running on the Apify platform or externally.
-
-After importing and initiating the client, you can save each dataset to a variable for easier access.
-
-```python
-my_dataset_client = apify_client.dataset('jane-doe/my-dataset')
-```
-
-You can then use that variable to [access the dataset's items and manage it](/api/client/python/reference/class/DatasetClient).
-
-> When using the [`.list_items()`](/api/client/python/reference/class/DatasetClient#list_items) method, if you fill both `omit` and `field` parameters with the same value, then `omit` parameter will take precedence and the field is excluded from the results.
-
-Check out the [Python API client documentation](/api/client/python/reference/class/DatasetClient) for [help with setup](/api/client/python/docs/quick-start) and more details.
-
-### Apify SDKs
-
-#### JavaScript SDK
-
-When working with a JavaScript [Actor](../actors/index.mdx), the [JavaScript SDK](/sdk/js/docs/guides/result-storage#dataset) is an essential tool, especially for dataset management. It simplifies the tasks of storing and retrieving data, seamlessly integrating with the Actor's workflow. Key features of the SDK include the ability to append data, retrieve what is stored, and manage dataset properties effectively. Central to this functionality is the [`Dataset`](/sdk/js/reference/class/Dataset) class. This class allows you to determine where your data is stored - locally or in the Apify cloud. To add data to your chosen datasets, use the [`pushData()`](/sdk/js/reference/class/Dataset#pushData) method.
-
-Additionally the SDK offers other methods like [`getData()`](/sdk/js/reference/class/Dataset#getData), [`map()`](/sdk/js/reference/class/Dataset#map), and [`reduce()`](/sdk/js/reference/class/Dataset#reduce). For practical applications of these methods, refer to the [example](/sdk/js/docs/examples/map-and-reduce) section.
-
-If you have chosen to store your dataset locally, you can find it in the location below.
-
-```text
-{APIFY_LOCAL_STORAGE_DIR}/datasets/{DATASET_ID}/{INDEX}.json
-```
-
-`DATASET_ID` refers to the dataset's _name_ or _ID_. The default dataset will be stored in the _default_ directory.
-
-To add data to the default dataset, you can use the example below:
-
-```js
-// Import the JavaScript SDK into your project
-import { Actor } from 'apify';
-
-await Actor.init();
-// ...
-
-// Add one item to the default dataset
-await Actor.pushData({ foo: 'bar' });
-
-// Add multiple items to the default dataset
-await Actor.pushData([{ foo: 'hotel' }, { foo: 'cafe' }]);
-
-// ...
-await Actor.exit();
-```
-
-> It's crucial to use the `await` keyword when calling `pushData()`, to ensure data storage completes before the Actor process terminates.
-
-If you want to use something other than the default dataset, e.g. a dataset that you share between Actors or between Actor runs, you can use the [`Actor.openDataset()`](/sdk/js/reference/class/Actor#openDataset) method.
-
-```js
-import { Actor } from 'apify';
-
-await Actor.init();
-// ...
-
-// Save a named dataset to a variable
-const dataset = await Actor.openDataset('some-name');
-
-// Add data to the named dataset
-await dataset.pushData({ foo: 'bar' });
-
-// ...
-await Actor.exit();
-```
-
-Utilize the `fields` option in the [`getData()`](/sdk/js/reference/class/Dataset#getData) method to specify which data fields to retrieve. This option accepts an array of fields names (string) to include in your results.
-
-```js
-import { Actor } from 'apify';
-
-await Actor.init();
-// ...
-
-const dataset = await Actor.openDataset();
-
-// Only get the 'hotel' and 'cafe' fields
-const hotelAndCafeData = await dataset.getData({
-    fields: ['hotel', 'cafe'],
-});
-
-// ...
-await Actor.exit();
-```
-
-Check out the [JavaScript SDK documentation](/sdk/js/docs/guides/result-storage#dataset) and the `Dataset` class's [API reference](/sdk/js/reference/class/Dataset) for details on managing datasets with the JavaScript SDK.
-
-#### Python SDK
-
-For Python [Actors](../actors/index.mdx), the [Python SDK](/sdk/python/docs/concepts/storages#working-with-datasets) is essential. The dataset is represented by a [`Dataset`](/sdk/python/reference/class/Dataset) class. You can use this class to specify whether your data is stored locally or in the Apify cloud and push data to the datasets of your choice using the [`push_data()`](/sdk/python/reference/class/Dataset#push_data) method. For further data manipulation you could also use other methods such as [`get_data()`](/sdk/python/reference/class/Dataset#get_data), [`map()`](/sdk/python/reference/class/Dataset#map) and [`reduce()`](/sdk/python/reference/class/Dataset#reduce).
-
-For datasets stored locally, the data is located at the following path:
-
-```text
-{APIFY_LOCAL_STORAGE_DIR}/datasets/{DATASET_ID}/{INDEX}.json
-```
-
-The `DATASET_ID` refers to the dataset's _name_ or _ID_. The default dataset will be stored in the _default_ directory.
-
-To add data to the default dataset, you can use the example below:
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        # Add one item to the default dataset
-        await Actor.push_data({'foo': 'bar'})
-
-        # Add multiple items to the default dataset
-        await Actor.push_data([{'foo': 'hotel'}, {'foo': 'cafe'}])
-```
-
-If you want to use something other than the default dataset, e.g. a dataset that you share between Actors or between Actor runs, you can use the [`Actor.open_dataset()`](/sdk/python/reference/class/Actor#open_dataset) method.
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        # Save a named dataset to a variable
-        dataset = await Actor.open_dataset(name='some-name')
-
-        # Add data to the named dataset
-        await dataset.push_data({'foo': 'bar'})
-```
-
-Utilize the `fields` option in the [`get_data()`](/sdk/python/reference/class/Dataset#get_data) method to specify which data fields to retrieve. This option accepts an array of fields names (string) to include in your results.
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        dataset = await Actor.open_dataset()
-
-        # Only get the 'hotel' and 'cafe' fields
-        hotel_and_cafe_data = await dataset.get_data(fields=['hotel', 'cafe'])
-```
-
-For more information, visit our [Python SDK documentation](/sdk/python/docs/concepts/storages#working-with-datasets) and the `Dataset` class's [API reference](/sdk/python/reference/class/Dataset) for details on managing datasets with the Python SDK.
-
-## Hidden fields
-
-Fields in a dataset that begin with a `#` are treated as hidden. You can exclude these fields when downloading data by using either `skipHidden=1` or `clean=1` in your query parameters. This feature is useful for excluding debug information from the final dataset output.
-
-The following example demonstrates a dataset record with hiddent fields, including HTTP response and error details.
-
-```json
-{
-    "url": "https://example.com",
-    "title": "Example page",
-    "data": {
-        "foo": "bar"
-    },
-    "#error": null,
-    "#response": {
-        "statusCode": 201
-    }
-}
-```
-
-Data excluding hidden fields, termed as "clean" data, can be downloaded from the [Apify Console](https://console.apify.com/storage?tab=datasets) using the **Clean items** option. Alternatively, you can download it via API by applying `clean=true` or `clean=1` as [URL parameters](/api/v2#/reference/datasets/item-collection/get-items).
-
-## XML format extension
-
-In `XML` and `RSS` export formats, object property name are converted into XML tags, and their corresponding values are represented as children of these tags.
-
-For example, the JavaScript object:
-
-```json5
-{
-    name: 'Rashida Jones',
-    address: [
-        {
-            type: 'home',
-            street: '21st',
-            city: 'Chicago',
-        },
-        {
-            type: 'office',
-            street: null,
-            city: null,
-        },
-    ],
-}
-```
-
-becomes the following XML snippet:
-
-```xml
-<name>Rashida Jones</name>
-<address>
-    <type>home</type>
-    <street>21st</street>
-    <city>Chicago</city>
-</address>
-<address>
-    <type>office</type>
-    <street/>
-    <city/>
-</address>
-```
-
-In a JavaScript object, if a property is named `@`, its sub-properties are exported as attributes of the corresponding parent XML element. Additionally, when the parent XML element lacks child elements, its value is sourced from a property named `#` in the JavaScript Object.
-
-For example, the following JavaScript object:
-
-```json5
-{
-    address: [
-        {
-            '@': {
-                type: 'home',
-            },
-            street: '21st',
-            city: 'Chicago',
-        },
-        {
-            '@': {
-                type: 'office',
-            },
-            '#': 'unknown',
-        },
-    ],
-}
-```
-
-will be transformed to the following XML snippet:
-
-```xml
-<address type="home">
-    <street>21st</street>
-    <city>Chicago</city>
-</address>
-<address type="office">unknown</address>
-```
-
-This feature is also useful when customizing your RSS feeds generated for various websites.
-
-By default, the whole result is wrapped in an `<items/>` element, while each page object is contained in an `<item/>` element. You can change this using the `xmlRoot` and `xmlRow` URL parameters when retrieving your data with a GET request.
-
-## Sharing
-
-You can grant [access rights](../collaboration/index.md) to your dataset through the **Share** button under the **Actions** menu. For more details, check the [full list of permissions](../collaboration/list_of_permissions.md).
-
-### Sharing datasets between runs {#sharing-datasets-between-runs}
-
-You can access a dataset from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run as long as you know its _name_ or _ID_.
-
-To access a dataset from another run using the [Apify SDK](/sdk), open it using the same method as you would with any other dataset.
-
-<Tabs groupId="main">
-<TabItem value="JavaScript" label="JavaScript">
-
-```js
-import { Actor } from 'apify';
-
-await Actor.init();
-
-const otherDataset = await Actor.openDataset('old-dataset');
-// ...
-
-await Actor.exit();
-```
-
-</TabItem>
-<TabItem value="Python" label="Python">
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        other_dataset = await Actor.open_dataset(name='old-dataset')
-        # ...
-```
-
-</TabItem>
-</Tabs>
-
-In the [JavaScript API client](/api/client/js/reference/class/DatasetClient) as well as in [Python API client](/api/client/python/reference/class/DatasetClient) , you can access a dataset using its client. Once you've opened the dataset, you can read its contents and add new data in the same manner as you would for a dataset from your current run.
-
-<Tabs groupId="main">
-<TabItem value="JavaScript" label="JavaScript">
-
-```js
-const otherDatasetClient = apifyClient.dataset('jane-doe/old-dataset');
-```
-
-</TabItem>
-<TabItem value="Python" label="Python">
-
-```python
-other_dataset_client = apify_client.dataset('jane-doe/old-dataset')
-```
-
-</TabItem>
-</Tabs>
-
-The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
-
-See the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
-
-## Limits
-
-- Data storage formats that use tabulation (like HTML, CSV, and EXCEL) are limited to a maximum of _3000_ columns. Data exceeding this limit will not be retrieved.
-
-- The `pushData()`method is constrained by the receiving API's size limit. It accepts objects with JSON size under _9MB_. While individual objects within an array must not exceed _9MB_, the overall size has no restriction.
-
-- The maximum length for dataset names is 63 characters.
-
-### Rate limiting {#rate-limiting}
-
-The rate limit for pushing data to a dataset through the [API](/api/v2#/reference/datasets/item-collection/put-items) is capped at _200 requests per second_ for each dataset, a measure to prevent overloading Apify servers.
-
-For all other dataset [API endpoints](/api/v2#/reference/datasets) , the rate limit is _30 requests per second_ for each dataset.
-
-Check out the [API documentation](/api/v2#/introduction/rate-limiting) for more information and guidance on actions to take if you exceed these rate limits.
diff --git a/sources/platform/storage/images/datasets-app.png b/sources/platform/storage/images/datasets-app.png
deleted file mode 100644
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diff --git a/sources/platform/storage/index.md b/sources/platform/storage/index.md
deleted file mode 100644
index f3a9b0c9c1..0000000000
--- a/sources/platform/storage/index.md
+++ /dev/null
@@ -1,37 +0,0 @@
----
-title: Storage
-description: Store anything from images and key-value pairs to structured output data. Learn how to access and manage your stored data from the Apify platform or via API.
-sidebar_position: 9
-category: platform
-slug: /storage
----
-
-import Card from "@site/src/components/Card";
-import CardGrid from "@site/src/components/CardGrid";
-
-# Storage {#storage}
-
-**Store anything from images and key-value pairs to structured output data. Learn how to access and manage your stored data on the Apify Console or via the API.**
-
----
-
-The Apify platform provides three types of storage accessible both within our [Apify Console](https://console.apify.com/storage) and externally through our [REST API](/api/v2#/) [Apify API Clients](/api) or [SDKs](/sdk).
-
-<CardGrid>
-    <Card
-        title="Dataset"
-        desc="Stores results from web scraping and data processing, with each Actor run getting a unique dataset. Features include table-like data visualization and multiple export formats like JSON and Excel."
-        to="/platform/storage/dataset"
-    />
-    <Card
-        title="Key-value store"
-        desc="Stores various data types like JSON, HTML, images, and strings. Accessible via Apify Console or API, it's ideal for diverse data storage needs.​"
-        to="/platform/storage/key-value-store"
-    />
-    <Card
-        title="Request queue"
-        desc="Manages URL processing for web crawling and other tasks. Supports different crawling orders and allows for querying and updating URLs, accessible via Apify Console or API​."
-        to="/platform/storage/request-queue"
-    />
-</CardGrid>
-
diff --git a/sources/platform/storage/key_value_store.md b/sources/platform/storage/key_value_store.md
deleted file mode 100644
index 073296bfcf..0000000000
--- a/sources/platform/storage/key_value_store.md
+++ /dev/null
@@ -1,325 +0,0 @@
----
-title: Key-value store
-description: Store anything from Actor or task run results, JSON documents, or images. Learn how to access and manage key-value stores from Apify Console or via API.
-toc_max_heading_level: 4
-sidebar_position: 9.3
-slug: /storage/key-value-store
----
-
-# Key-value store
-
-**Store anything from Actor or task run results, JSON documents, or images. Learn how to access and manage key-value stores from Apify Console or via API.**
-
-import Tabs from '@theme/Tabs';
-import TabItem from '@theme/TabItem';
-
----
-
-The key-value store is simple storage that can be used for storing any kind of data. It can be JSON or HTML documents, zip files, images, or strings. The data are stored along with their [MIME content type](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/MIME_types/Common_types).
-
-Each Actor run is assigned its own key-value store when it is created. The store contains the Actor's input, and, if necessary, other data such as its output.
-
-Key-value stores are mutable–you can both add entries and delete them.
-
-> Named key-value stores are retained indefinitely. <br/>
-> Unnamed key-value stores expire after 7 days unless otherwise specified.<br/> > [Learn more](./index.md#named-and-unnamed-storages)
-
-## Basic usage
-
-You can access key-value stores through several methods
-
-- [Apify Console](https://console.apify.com) - provides an easy-to-understand interface.
-- [Apify API](/api/v2#) - for accessing your key-value stores programmatically.
-- [Apify API clients](/api) - to access your key-value stores from any Node.js/Python application.
-- [Apify SDKs](/sdk) - when building your own JavaScript/Pyhton Actor.
-
-### Apify Console
-
-In [Apify Console](https://console.apify.com), you can view your key-value stores in the [Storage](https://console.apify.com/storage) section under the [Key-value stores](https://console.apify.com/storage?tab=keyValueStores) tab.
-
-![Key-value stores in app](./images/key-value-stores-app.png)
-
-To view a key-value store's content, click on its **Store ID**.
-Under the **Actions** menu, you can rename your store (and, in turn extend its [retention period](./usage#named-and-unnamed-storages)) and grant [access rights](../collaboration/index.md) using the **Share** button.
-Click on the **API** button to view and test a store's [API endpoints](/api/v2#/reference/key-value-stores).
-
-![Key-value stores detail](./images/key-value-stores-detail.png)
-
-### Apify API
-
-The [Apify API](/api/v2#/reference/key-value-stores) enables you programmatic access to your key-value stores using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods).
-
-If you are accessing your datasets using the `username~store-name` [store ID format](./index.md), you will need to use your secret API token. You can find the token (and your user ID) on the [Integrations](https://console.apify.com/account#/integrations) tab of **Settings** page of your Apify account.
-
-> When providing your API authentication token, we recommend using the request's `Authorization` header, rather than the URL. ([More info](../integrations/programming/api.md#authentication)).
-
-To retrieve a list of your key-value stores, send a GET request to the [Get list of key-value stores](/api/v2#/reference/key-value-stores/store-collection/get-list-of-key-value-stores) endpoint.
-
-```text
-https://api.apify.com/v2/key-value-stores
-```
-
-To get information about a key-value store such as its creation time and item count, send a GET request to the [Get store](/api/v2#/reference/key-value-stores/store-object/get-store) endpoint.
-
-```text
-https://api.apify.com/v2/key-value-stores/{STORE_ID}
-```
-
-To get a record (its value) from a key-value store, send a GET request to the [Get record](/api/v2#/reference/key-value-stores/key-collection/get-record) endpoint.
-
-```text
-https://api.apify.com/v2/key-value-stores/{STORE_ID}/records/{KEY_ID}
-```
-
-To add a record with a specific key in a key-value store, send a PUT request to the [Put record](/api/v2#/reference/key-value-stores/record/put-record) endpoint.
-
-```text
-https://api.apify.com/v2/key-value-stores/{STORE_ID}/records/{KEY_ID}
-```
-
-Example payload:
-
-```json
-{
-    "foo": "bar",
-    "fos": "baz"
-}
-```
-
-To delete a record, send a DELETE request specifying the key from a key-value store to the [Delete record](/api/v2#/reference/key-value-stores/record/delete-record) endpoint.
-
-```text
-https://api.apify.com/v2/key-value-stores/{STORE_ID}/records/{KEY_ID}
-```
-
-For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/key-value-stores).
-
-### Apify API Clients
-
-#### JavaScript API client
-
-The Apify [JavaScript API client](/api/client/js/reference/class/KeyValueStoreClient) (`apify-client`) enables you to access your key-value stores from any Node.js application, whether hosted on the Apify platform or externally.
-
-After importing and initiating the client, you can save each key-value store to a variable for easier access.
-
-```js
-const myKeyValStoreClient = apifyClient.keyValueStore(
-    'jane-doe/my-key-val-store',
-);
-```
-
-You can then use that variable to [access the key-value store's items and manage it](/api/client/js/reference/class/KeyValueStoreClient).
-
-Check out the [JavaScript API client documentation](/api/client/js/reference/class/KeyValueStoreClient) for [help with setup](/api/client/js/docs) and more details.
-
-#### Python API client
-
-The Apify [Python API client](/api/client/python/reference/class/KeyValueStoreClient) (`apify-client`) allows you to access your key-value stores from any Python application, whether it is running on the Apify platform or externally.
-
-After importing and initiating the client, you can save each key-value store to a variable for easier access.
-
-```python
-my_key_val_store_client = apify_client.key_value_store('jane-doe/my-key-val-store')
-```
-
-You can then use that variable to [access the key-value store's items and manage it](/api/client/python/reference/class/KeyValueStoreClient).
-
-Check out the [Python API client documentation](/api/client/python/reference/class/KeyValueStoreClient) for [help with setup](/api/client/python/docs/quick-start) and more details.
-
-### Apify SDKs
-
-#### JavaScript SDK
-
-When working with a Javascript [Actor](../actors/index.mdx), the [JavaScript SDK](/sdk/js/docs/guides/result-storage#key-value-store) is an essential tool, especially for key-value store management. The primary class for this purpose is the [`KeyValueStore`](/sdk/js/reference/class/KeyValueStore). This class allows you to decide whether your data will be stored locally or in the Apify cloud. For data manipulation, it offers the [`getValue()`](/sdk/js/reference/class/KeyValueStore#getValue) and [`setValue()`](/sdk/js/reference/class/KeyValueStore#setValue) methods to retrieve and assign values, respectively.
-
-Additionally, you can iterate over the keys in your store using the [`forEachKey()`](/sdk/js/reference/class/KeyValueStore#forEachKey) method.
-
-Every Actor run is linked to a default key-value store that is automatically created for that specific run. If you're running your Actors and opt to store data locally, you can easily supply the [input](../actors/running/input_and_output.md) by placing an _INPUT.json_ file in the corresponding directory of the default key-value store. This method ensures that you Actor has all the necessary data readily available for its execution.
-
-You can find _INPUT.json_ and other key-value store files in the location below.
-
-```text
-{APIFY_LOCAL_STORAGE_DIR}/key_value_stores/{STORE_ID}/{KEY}.{EXT}
-```
-
-The default key-value store's ID is _default_. The `{KEY}` is the record's _key_ and `{EXT}` corresponds to the record value's MIME content type.
-
-To manage your key-value stores, you can use the following methods. See the `KeyValueStore` class's [API reference](/sdk/js/reference/class/KeyValueStore) for the full list.
-
-```js
-import { Actor } from 'apify';
-
-await Actor.init();
-// ...
-
-// Get the default input
-const input = await Actor.getInput();
-
-// Open a named key-value store
-const exampleStore = await Actor.openKeyValueStore('my-store');
-
-// Read a record in the exampleStore storage
-const value = await exampleStore.getValue('some-key');
-
-// Write a record to exampleStore
-await exampleStore.setValue('some-key', { foo: 'bar' });
-
-// Delete a record from exampleStore
-await exampleStore.setValue('some-key', null);
-
-// ...
-await Actor.exit();
-```
-
-> Note that JSON is automatically parsed to a JavaScript object, text data returned as a string and other data is returned as binary buffer.
-
-```js
-import { Actor } from 'apify';
-
-await Actor.init();
-// ...
-
-// Get input of your Actor
-const input = await Actor.getInput();
-const value = await Actor.getValue('my-key');
-
-// ...
-await Actor.setValue('OUTPUT', imageBuffer, { contentType: 'image/jpeg' });
-
-// ...
-await Actor.exit();
-```
-
-The `Actor.getInput()` method is not only a shortcut to `Actor.getValue('INPUT')`; it is also compatible with [`Actor.metamorph()`](../actors/development/programming_interface/metamorph.md). This is because a metamorphed Actor run's input is stored in the _INPUT-METAMORPH-1_ key instead of _INPUT_, which hosts the original input.
-
-Check out the [JavaScript SDK documentation](/sdk/js/docs/guides/result-storage#key-value-store) and the `KeyValueStore` class's [API reference](/sdk/js/reference/class/KeyValueStore) for details on managing your key-value stores with the JavaScript SDK.
-
-#### Python SDK
-
-For Python [Actor](../actors/index.mdx), the [Python SDK](/sdk/python/docs/concepts/storages#working-with-key-value-stores) is essential. The key-value store is represented by a [`KeyValueStore`](/sdk/python/reference/class/KeyValueStore) class. You can use this class to specify whether your data is stored locally or in the Apify cloud. For further data manipulation it offers [`get_value()`](/sdk/python/reference/class/KeyValueStore#get_value) and [`set_value()`](/sdk/python/reference/class/KeyValueStore#set_value) methods to retrieve and assign values, respectively.
-
-Every Actor run is linked to a default key-value store that is automatically created for that specific run. If you're running your Actors and opt to store data locally, you can easily supply the [input](../actors/running/input_and_output.md) by placing an _INPUT.json_ file in the corresponding directory of the default key-value store. This method ensures that you Actor has all the necessary data readily available for its execution.
-
-You can find _INPUT.json_ and other key-value store files in the location below.
-
-```text
-{APIFY_LOCAL_STORAGE_DIR}/key_value_stores/{STORE_ID}/{KEY}.{EXT}
-```
-
-The default key-value store's ID is _default_. The \{KEY} is the record's _key_ and \{EXT} corresponds to the record value's MIME content type.
-
-To manage your key-value stores, you can use the following methods. See the `KeyValueStore` class [documentation](/sdk/python/reference/class/KeyValueStore) for the full list.
-
-```python
-from apify import Actor
-from apify.storages import KeyValueStore
-
-async def main():
-    async with Actor:
-        # Open a named key-value store
-        example_store: KeyValueStore = await Actor.open_key_value_store(name='my-store')
-
-        # Read a record in the example_store storage
-        value = await example_store.get_value('some-key')
-
-        # Write a record to example_store
-        await example_store.set_value('some-key', {'foo': 'bar'})
-
-        # Delete a record from example_store
-        await example_store.set_value('some-key', None)
-```
-
-> Note that JSON is automatically parsed to a Python dictionary, text data returned as a string and other data is returned as binary buffer.
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        value = await Actor.get_value('my-key')
-        # ...
-        image_buffer = ...  # Get image data
-        await Actor.set_value(key='OUTPUT', value=image_buffer, content_type='image/jpeg')
-```
-
-The `Actor.get_input()` method is not only a shortcut to `Actor.get_value('INPUT')`; it is also compatible with [`Actor.metamorph()`](../actors/development/programming_interface/metamorph.md). This is because a metamorphed Actor run's input is stored in the _INPUT-METAMORPH-1_ key instead of _INPUT_, which hosts the original input.
-
-Check out the [Python SDK documentation](/sdk/python/docs/concepts/storages#working-with-key-value-stores) and the `KeyValueStore` class's [API reference](/sdk/python/reference/class/KeyValueStore) for details on managing your key-value stores with the Python SDK.
-
-## Compression
-
-Previously, when using the [Put record](/api/v2#/reference/key-value-stores/record/put-record) endpoint, every record was automatically compressed with Gzip before being uploaded. However, this process has been updated. _Now, record are stored exactly as you upload them._ This change means that it is up to you whether the record is stored compressed or uncompressed.
-
-You can compress a record and use the [Content-Encoding request header](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Encoding) to let our platform know which compression it uses. We recommend compressing large key-value records to save storage space and network traffic.
-
-_Using the [JavaScript SDK](/sdk/js/reference/class/KeyValueStore#setValue) or our [JavaScript API client](/api/client/js/reference/class/KeyValueStoreClient#setRecord) automatically compresses your files._ We advise utilizing the JavaScript API client for data compression prior to server upload and decompression upon retrieval, minimizing storage costs.
-
-## Sharing
-
-You can grant [access rights](../collaboration/index.md) to your key-value store through the **Share** button under the **Actions** menu. For more details check the [full list of permissions](../collaboration/list_of_permissions.md).
-
-### Sharing key-value stores between runs
-
-You can access a key-value store from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run as long as you know its _name_ or _ID_.
-
-To access a key-value store from another run using the [Apify SDK](/sdk), open it using the same method as you would do with any other store.
-
-<Tabs groupId="main">
-<TabItem value="JavaScript" label="JavaScript">
-
-```js
-import { Actor } from 'apify';
-
-await Actor.init();
-
-const otherStore = await Actor.openKeyValueStore('old-store');
-// ...
-
-await Actor.exit();
-```
-
-</TabItem>
-<TabItem value="Python" label="Python">
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        other_store = await Actor.open_key_value_store(name='old-store')
-        # ...
-```
-
-</TabItem>
-</Tabs>
-
-In the [JavaScript API client](/api/client/js/reference/class/KeyValueStoreClient) as well as in [Python API client](/api/client/python/reference/class/KeyValueStoreClient), you can access a store using its client. Once you've opened a store, read and manage its contents like you would do with a key-value store from your current run.
-
-<Tabs groupId="main">
-<TabItem value="JavaScript" label="JavaScript">
-
-```js
-const otherStoreClient = apifyClient.keyValueStore('jane-doe/old-store');
-```
-
-</TabItem>
-<TabItem value="Python" label="Python">
-
-```python
-other_store_client = apify_client.key_value_store('jane-doe/old-store')
-```
-
-</TabItem>
-</Tabs>
-
-The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
-
-Check out the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
-
-## Data consistency
-
-Key-value storage uses the [AWS S3](https://aws.amazon.com/s3/) service. According to the [S3 documentation](https://aws.amazon.com/s3/consistency/), it provides _strong read-after-write_ consistency.
-
-## Limits
-
-- The maximum length for key of key-value store is 63 characters.
diff --git a/sources/platform/storage/request_queue.md b/sources/platform/storage/request_queue.md
deleted file mode 100644
index b99c3cf739..0000000000
--- a/sources/platform/storage/request_queue.md
+++ /dev/null
@@ -1,583 +0,0 @@
----
-title: Request queue
-description: Queue URLs for an Actor to visit in its run. Learn how to share your queues between Actor runs. Access and manage request queues from Apify Console or via API.
-toc_max_heading_level: 4
-sidebar_position: 9.4
-slug: /storage/request-queue
----
-
-**Queue URLs for an Actor to visit in its run. Learn how to share your queues between Actor runs. Access and manage request queues from Apify Console or via API.**
-
-import Tabs from '@theme/Tabs';
-import TabItem from '@theme/TabItem';
-
----
-
-Request queues enable you to enqueue and retrieve requests such as URLs with an [HTTP method](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods) and other parameters. They prove essential not only in web crawling scenarios but also in any situation requiring the management of a large number of URLs and the addition of new links.
-
-The storage system for request queues accomoodates both breadth-first and depth-first crawling strategies, along with the inclusion of custom data attributes. This system enables you to check if certain URLs have already been encountered, add new URLs to the queue, and retrieve the next set of URLs for processing.
-
-> Named request queues are retained indefinitely. <br/>
-> Unnamed request queues expire after 7 days unless otherwise specified.<br/> > [Learn more](./index.md#named-and-unnamed-storages)
-
-## Basic usage
-
-You can access your request queues in several ways:
-
-- [Apify Console](https://console.apify.com) - provides an easy-to-understand interface.
-- [Apify API](/api/v2#) - for accessing your request queues programmatically.
-- [Apify API clients](/api) - to access your request queues from any Node.js application.
-- [Apify SDK](/sdk) - when building your own JavaScript Actor.
-
-### Apify Console
-
-In the [Apify Console](https://console.apify.com), you can view your request queues in the [Storage](https://console.apify.com/storage) section under the [Request queues](https://console.apify.com/storage?tab=requestQueues) tab.
-
-![Request queues in app](./images/request-queue-app.png)
-
-To view a request queue, click on its **Queue ID**.
-Under the **Actions** menu, you can rename your queue's name (and, in turn, its
-[retention period](./usage#named-and-unnamed-storages)) and [access rights](../collaboration/index.md) using the **Share** button.
-Click on the **API** button to view and test a queue's [API endpoints](/api/v2#/reference/request-queues).
-
-![Request queues detail](./images/request-queue-detail.png)
-
-### Apify API
-
-The [Apify API](/api/v2#/reference/request-queues) allows you programmatic access to your request queues using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods).
-
-If you are accessing your datasets using the `username~store-name` [store ID format](./index.md), you will need to use your secret API token. You can find the token (and your user ID) on the [Integrations](https://console.apify.com/account#/integrations) page of your Apify account.
-
-> When providing your API authentication token, we recommend using the request's `Authorization` header, rather than the URL. ([More info](../integrations/programming/api.md#authentication)).
-
-To get a list of your request queues, send a GET request to the [Get list of request queues](/api/v2#/reference/request-queues/store-collection/get-list-of-request-queues) endpoint.
-
-```text
-https://api.apify.com/v2/request-queues
-```
-
-To get information about a request queue such as its creation time and item count, send a GET request to the [Get request queue](/api/v2#/reference/request-queues/queue/get-request-queue) endpoint.
-
-```text
-https://api.apify.com/v2/request-queues/{QUEUE_ID}
-```
-
-To get a request from a queue, send a GET request to the [Get request](/api/v2#/reference/request-queues/request/get-request) endpoint.
-
-```text
-https://api.apify.com/v2/request-queues/{QUEUE_ID}/requests/{REQUEST_ID}
-```
-
-To add a request to a queue, send a POST request with the request to be added as a JSON object in the request's payload to the [Add request](/api/v2#/reference/request-queues/request-collection/add-request) endpoint.
-
-```text
-https://api.apify.com/v2/request-queues/{QUEUE_ID}/requests
-```
-
-Example payload:
-
-```json
-{
-    "uniqueKey": "http://example.com",
-    "url": "http://example.com",
-    "method": "GET"
-}
-```
-
-To update a request in a queue, send a PUT request with the request to update as a JSON object in the request's payload to the [Update request](/api/v2#/reference/request-queues/request/update-request) endpoint. In the payload, specify the request's ID and add the information you want to update.
-
-```text
-https://api.apify.com/v2/request-queues/{QUEUE_ID}/requests/{REQUEST_ID}
-```
-
-Example payload:
-
-```json
-{
-    "id": "dnjkDMKLmdlkmlkmld",
-    "uniqueKey": "http://example.com",
-    "url": "http://example.com",
-    "method": "GET"
-}
-```
-
-> When adding or updating requests, you can optionally provide a `clientKey` parameter to your request. It must be a string between 1 and 32 characters in length. This identifier is used to determine whether the queue was accessed by [multiple clients](#sharing). If `clientKey` is not provided, the system considers this API call to come from a new client. See the `hadMultipleClients` field returned by the [`Get head`](/api/v2#/reference/request-queues/queue-head/get-head) operation for details. <br/>
->
-> Example: `client-abc`
-
-For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/key-value-stores).
-
-### Apify API Clients
-
-#### JavaScript API client
-
-The Apify [JavaScript API client](/api/client/js/reference/class/RequestQueueClient) (`apify-client`) enables you to access your request queues from any Node.js application, whether it is running on the Apify platform or externally.
-
-After importing and initiating the client, you can save each request queue to a variable for easier access.
-
-```js
-const myQueueClient = apifyClient.requestQueue('jane-doe/my-request-queue');
-```
-
-You can then use that variable to [access the request queue's items and manage it](/api/client/js/reference/class/RequestQueueClient).
-
-Check out the [JavaScript API client documentation](/api/client/js/reference/class/RequestQueueClient) for [help with setup](/api/client/js/docs) and more details.
-
-#### Python API client
-
-The Apify [Python API client](/api/client/python) (`apify-client`) allows you to access your request queues from any Python application, whether it's running on the Apify platform or externally.
-
-After importing and initiating the client, you can save each request queue to a variable for easier access.
-
-```python
-my_queue_client = apify_client.request_queue('jane-doe/my-request-queue')
-```
-
-You can then use that variable to [access the request queue's items and manage it](/api/client/python/reference/class/RequestQueueClient).
-
-Check out the [Python API client documentation](/api/client/python/reference/class/RequestQueueClient) for [help with setup](/api/client/python/docs/quick-start) and more details.
-
-### Apify SDKs
-
-#### JavaScript SDK
-
-When working with a JavaScript [Actor](../actors/index.mdx), the [JavaScript SDK](/sdk/js/docs/guides/request-storage#request-queue) is an essential tool, especially for request queue management. The primary class for this purpose is the [`RequestQueue`](/sdk/js/reference/class/RequestQueue) class. Use this class to decide whether your data is stored locally or in the Apify cloud.
-
-If you are building a JavaScript [Actor](../actors/index.mdx), you will be using the [JavaScript SDK](/sdk/js/docs/guides/request-storage#request-queue). The request queue is represented by a [`RequestQueue`](/sdk/js/reference/class/RequestQueue) class. You can use the class to specify whether your data is stored locally or in the Apify cloud and [enqueue new URLs](/sdk/js/reference/class/RequestQueue#addRequests).
-
-Every Actor run is automatically linked with a default request queue, initiated upon adding the first request. This queue is primarily utilized for storing URLs to be crawled during the particular Actor run, though its use is not mandatory. For enhanced flexibility, you can establish named queues. These named queues offer the advantage of being shareable across different Actors or various Actor runs, facilitating a more interconnected and efficient process.
-
-If you are storing your data locally, you can find your request queue at the following location.
-
-```text
-{APIFY_LOCAL_STORAGE_DIR}/request_queues/{QUEUE_ID}/{ID}.json
-```
-
-The default request queue's ID is _default_. Each request in the queue is stored as a separate JSON file, where `{ID}` is a request ID.
-
-To open a request queue, use the [`Actor.openRequestQueue()`](/sdk/js/reference/class/Actor#openRequestQueue) method.
-
-```js
-// Import the JavaScript SDK into your project
-import { Actor } from 'apify';
-
-await Actor.init();
-// ...
-
-// Open the default request queue associated with
-// the Actor run
-const queue = await Actor.openRequestQueue();
-
-// Open the 'my-queue' request queue
-const queueWithName = await Actor.openRequestQueue('my-queue');
-
-// ...
-await Actor.exit();
-```
-
-Once a queue is open, you can manage it using the following methods. Check out the `RequestQueue` class's [API reference](/sdk/js/reference/class/RequestQueue) for the full list.
-
-```js
-// Import the JavaScript SDK into your project
-import { Actor } from 'apify';
-
-await Actor.init();
-// ...
-
-const queue = await Actor.openRequestQueue();
-
-// Enqueue requests
-await queue.addRequests([{ url: 'http://example.com/aaa' }]);
-await queue.addRequests(['http://example.com/foo', 'http://example.com/bar'], {
-    forefront: true,
-});
-
-// Get the next request from queue
-const request1 = await queue.fetchNextRequest();
-const request2 = await queue.fetchNextRequest();
-
-// Get a specific request
-const specificRequest = await queue.getRequest('shi6Nh3bfs3');
-
-// Reclaim a failed request back to the queue
-// and process it again
-await queue.reclaimRequest(request2);
-
-// Remove a queue
-await queue.drop();
-
-// ...
-await Actor.exit();
-```
-
-Check out the [JavaScript SDK documentation](/sdk/js/docs/guides/request-storage#request-queue) and the `RequestQueue` class's [API reference](/sdk/js/reference/class/RequestQueue) for details on managing your request queues with the JavaScript SDK.
-
-#### Python SDK
-
-For Python [Actor](../actors/index.mdx) development, the [Python SDK](/sdk/python/docs/concepts/storages#working-with-request-queues) the in essential. The request queue is represented by [`RequestQueue`](/sdk/python/reference/class/RequestQueue) class. Utilize this class to determine whether your data is stored locally or in in the Apify cloud. For managing your data, it provides the capability to [enqueue new URLs](/sdk/python/reference/class/RequestQueue#add_requests), facilitating seamless integration and operation within your Actor.
-
-Every Actor run is automatically connected to a default request queue, established specifically for that run upon the addition of the first request. If you're operating your Actors and choose to utilize this queue, it typically serves to store URLs for crawling in the respective Actor run, though its use is not mandatory. To extend functionality, you have the option to create named queue, which offer the flexibility to be shared among different Actors or across multiple Actor runs.
-
-If you are storing your data locally, you can find your request queue at the following location.
-
-```text
-{APIFY_LOCAL_STORAGE_DIR}/request_queues/{QUEUE_ID}/{ID}.json
-```
-
-The default request queue's ID is _default_. Each request in the queue is stored as a separate JSON file, where `{ID}` is a request ID.
-
-To _open a request queue_, use the [`Actor.open_request_queue()`](/sdk/python/reference/class/Actor#open_request_queue) method.
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        # Open the default request queue associated with the Actor run
-        queue = await Actor.open_request_queue()
-
-        # Open the 'my-queue' request queue
-        queue_with_name = await Actor.open_request_queue(name='my-queue')
-
-        # ...
-```
-
-Once a queue is open, you can manage it using the following methods. See the `RequestQueue` class's [API reference](/sdk/python/reference/class/RequestQueue) for the full list.
-
-```python
-from apify import Actor
-from apify.storages import RequestQueue
-
-async def main():
-    async with Actor:
-        queue: RequestQueue = await Actor.open_request_queue()
-
-        # Enqueue requests
-        await queue.add_request(request={'url': 'http:#example.com/aaa'})
-        await queue.add_request(request={'url': 'http:#example.com/foo'})
-        await queue.add_request(request={'url': 'http:#example.com/bar'}, forefront=True)
-
-        # Get the next requests from queue
-        request1 = await queue.fetch_next_request()
-        request2 = await queue.fetch_next_request()
-
-        # Get a specific request
-        specific_request = await queue.get_request('shi6Nh3bfs3')
-
-        # Reclaim a failed request back to the queue and process it again
-        await queue.reclaim_request(request2)
-
-        # Remove a queue
-        await queue.drop()
-```
-
-Check out the [Python SDK documentation](/sdk/python/docs/concepts/storages#working-with-request-queues) and the `RequestQueue` class's [API reference](/sdk/python/reference/class/RequestQueue) for details on managing your request queues with the Python SDK.
-
-## Features
-
-Request queue is a storage type built with scraping in mind, enabling developers to write scraping logic efficiently and scalably.
-The Apify tooling, including [Crawlee](https://crawlee.dev/), [Apify SDK for JavaScript](https://docs.apify.com/sdk/js/), and [Apify SDK for Python](https://docs.apify.com/sdk/python/), incorporates all these features, enabling users to leverage them effortlessly without extra configuration.
-
-In the following section, we will discuss each of the main features in depth.
-
-### Persistence and retention
-
-Request queues prioritize persistence, ensuring indefinite retention of your requests in named request queues, and for the data retention period in your subscription in unnamed request queues.
-This capability facilitates incremental crawling, where you can append new URLs to the queue and resume from where you stopped in subsequent Actor runs.
-Consider the scenario of scraping an e-commerce website with thousands of products. Incremental scraping allows you to scrape only the products
-added since the last product discovery.
-
-In the following code example, we demonstrate how to use the Apify SDK and Crawlee to create an incremental crawler that saves the title of each new found page in Apify Docs to a dataset.
-By running this Actor multiple times, you can incrementally crawl the source website and save only pages added since the last crawl, as reusing a single request queue ensures that only URLs not yet visited are processed.
-
-```ts
-// Basic example of incremental crawling with Crawlee.
-import { Actor } from 'apify';
-import { CheerioCrawler, Dataset } from 'crawlee';
-
-interface Input {
-    startUrls: string[];
-    persistRquestQueueName: string;
-}
-
-await Actor.init();
-
-// Structure of input is defined in input_schema.json
-const {
-    startUrls = ['https://docs.apify.com/'],
-    persistRequestQueueName = 'persist-request-queue',
-} = (await Actor.getInput<Input>()) ?? ({} as Input);
-
-// Open or create request queue for incremental scrape.
-// By opening same request queue, the crawler will continue where it left off and skips already visited URLs.
-const requestQueue = await Actor.openRequestQueue(persistRequestQueueName);
-
-const proxyConfiguration = await Actor.createProxyConfiguration();
-
-const crawler = new CheerioCrawler({
-    proxyConfiguration,
-    requestQueue, // Pass incremental request queue to the crawler.
-    requestHandler: async ({ enqueueLinks, request, $, log }) => {
-        log.info('enqueueing new URLs');
-        await enqueueLinks();
-
-        // Extract title from the page.
-        const title = $('title').text();
-        log.info(`New page with ${title}`, { url: request.loadedUrl });
-
-        // Save the URL and title of the loaded page to the output dataset.
-        await Dataset.pushData({ url: request.loadedUrl, title });
-    },
-});
-
-await crawler.run(startUrls);
-
-await Actor.exit();
-```
-
-### Batch operations
-
-Request queues support batch operations on requests to enqueue or retrieve multiple requests in bulk, to cut down on network latency and enable easier parallel processing of requests.
-You can find the batch operations in the [Apify API](https://docs.apify.com/api/v2#/reference/request-queues/batch-request-operations), as well in the Apify API client for [JavaScript](https://docs.apify.com/api/client/js/reference/class/RequestQueueClient#batchAddRequests) and [Python](https://docs.apify.com/api/client/python/reference/class/RequestQueueClient#batch_add_requests).
-
-<Tabs groupId="main">
-<TabItem value="JavaScript" label="JavaScript">
-
-```js
-const { ApifyClient } = require('apify-client');
-
-const client = new ApifyClient({
-    token: 'MY-APIFY-TOKEN',
-});
-
-const requestQueueClient = client.requestQueue('my-queue-id');
-
-// Add multiple requests to the queue
-await requestQueueClient.batchAddRequests([
-    {
-        url: 'http://example.com/foo',
-        uniqueKey: 'http://example.com/foo',
-        method: 'GET',
-    },
-    {
-        url: 'http://example.com/bar',
-        uniqueKey: 'http://example.com/bar',
-        method: 'GET',
-    },
-]);
-
-// Remove multiple requests from the queue
-await requestQueueClient.batchDeleteRequests([
-    { uniqueKey: 'http://example.com/foo' },
-    { uniqueKey: 'http://example.com/bar' },
-]);
-```
-
-</TabItem>
-<TabItem value="Python" label="Python">
-
-```python
-from apify_client import ApifyClient
-
-apify_client = ApifyClient('MY-APIFY-TOKEN')
-
-request_queue_client = apify_client.request_queue('my-queue-id')
-
-# Add multiple requests to the queue
-request_queue_client.batch_add_requests([
-    {'url': 'http://example.com/foo', 'uniqueKey': 'http://example.com/foo', 'method': 'GET'},
-    {'url': 'http://example.com/bar', 'uniqueKey': 'http://example.com/bar', 'method': 'GET'},
-])
-
-# Remove multiple requests from the queue
-request_queue_client.batch_delete_requests([
-    {'uniqueKey': 'http://example.com/foo'},
-    {'uniqueKey': 'http://example.com/bar'},
-])
-```
-
-</TabItem>
-</Tabs>
-
-### Distributivity
-
-Request queue includes a locking mechanism to avoid concurrent processing of one request by multiple clients (for example Actor runs).
-You can lock a request so that no other clients receive it when they fetch the queue head, with an expiration period on the lock so that requests which fail processing are eventually unlocked and retried.
-
-This feature is seamlessly integrated into Crawlee, requiring minimal extra setup. By default, requests are locked for the same duration as the timeout for processing requests in the crawler ([`requestHandlerTimeoutSecs`](https://crawlee.dev/api/next/basic-crawler/interface/BasicCrawlerOptions#requestHandlerTimeoutSecs)).
-If the Actor processing the request fails, the lock expires, and the request is processed again eventually. For more details, refer to the [Crawlee documentation](https://crawlee.dev/docs/next/experiments/experiments-request-locking).
-
-In the following example, we demonstrate how we can use locking mechanisms to avoid concurrent processing of the same request.
-
-```js
-import { Actor, ApifyClient } from 'apify';
-
-await Actor.init();
-
-const client = new ApifyClient({
-    token: 'MY-APIFY-TOKEN',
-});
-
-// Creates a new request queue.
-const requestQueue = await client.requestQueues().getOrCreate('example-queue');
-
-// Creates two clients with different keys for the same request queue.
-const requestQueueClientOne = client.requestQueue(requestQueue.id, {
-    clientKey: 'requestqueueone',
-});
-const requestQueueClientTwo = client.requestQueue(requestQueue.id, {
-    clientKey: 'requestqueuetwo',
-});
-
-// Adds multiple requests to the queue.
-await requestQueueClientOne.batchAddRequests([
-    {
-        url: 'http://example.com/foo',
-        uniqueKey: 'http://example.com/foo',
-        method: 'GET',
-    },
-    {
-        url: 'http://example.com/bar',
-        uniqueKey: 'http://example.com/bar',
-        method: 'GET',
-    },
-    {
-        url: 'http://example.com/baz',
-        uniqueKey: 'http://example.com/baz',
-        method: 'GET',
-    },
-    {
-        url: 'http://example.com/qux',
-        uniqueKey: 'http://example.com/qux',
-        method: 'GET',
-    },
-]);
-
-// Locks the first two requests at the head of the queue.
-const processingRequestsClientOne = await requestQueueClientOne.listAndLockHead(
-    {
-        limit: 2,
-        lockSecs: 60,
-    },
-);
-
-// Other clients cannot list and lock these requests; the listAndLockHead call returns other requests from the queue.
-const processingRequestsClientTwo = await requestQueueClientTwo.listAndLockHead(
-    {
-        limit: 2,
-        lockSecs: 60,
-    },
-);
-
-// Checks when the lock will expire. The locked request will have a lockExpiresAt attribute.
-const theFirstRequestLockedByClientOne = processingRequestsClientOne.items[0];
-const requestLockedByClientOne = await requestQueueClientOne.getRequest(
-    theFirstRequestLockedByClientOne.id,
-);
-console.log(`Request locked until ${requestLockedByClientOne?.lockExpiresAt}`);
-
-// Other clients cannot modify the lock; attempting to do so will throw an error.
-try {
-    await requestQueueClientTwo.prolongRequestLock(
-        theFirstRequestLockedByClientOne.id,
-        { lockSecs: 60 },
-    );
-} catch (err) {
-    // This will throw an error.
-}
-
-// Prolongs the lock of the first request or unlocks it.
-await requestQueueClientOne.prolongRequestLock(
-    theFirstRequestLockedByClientOne.id,
-    { lockSecs: 60 },
-);
-await requestQueueClientOne.deleteRequestLock(
-    theFirstRequestLockedByClientOne.id,
-);
-
-// Cleans up the queue.
-await requestQueueClientOne.delete();
-
-await Actor.exit();
-```
-
-A detailed tutorial on how to process one request queue with multiple Actor runs can be found in [Academy tutorials](https://docs.apify.com/academy/node-js/multiple-runs-scrape).
-
-## Sharing
-
-You can grant [access rights](../collaboration/index.md) to your request queue through the **Share** button under the **Actions** menu. For more details check the [full list of permissions](../collaboration/list_of_permissions.md).
-
-### Sharing request queues between runs {#sharing-request-queues-between-runs}
-
-You can access a request queue from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run as long as you know its _name_ or _ID_.
-
-To access a request queue from another run using the [Apify SDK](/sdk), open it using the same method like you would do with any other request queue.
-
-<Tabs groupId="main">
-<TabItem value="JavaScript" label="JavaScript">
-
-```js
-import { Actor } from 'apify';
-
-await Actor.init();
-
-const otherQueue = await Actor.openRequestQueue('old-queue');
-// ...
-
-await Actor.exit();
-```
-
-</TabItem>
-<TabItem value="Python" label="Python">
-
-```python
-from apify import Actor
-
-async def main():
-    async with Actor:
-        other_queue = await Actor.open_request_queue(name='old-queue')
-        # ...
-```
-
-</TabItem>
-</Tabs>
-
-In the [JavaScript API client](/api/client/js/reference/class/RequestQueueClient) as well as in [Python API client](/api/client/python/reference/class/RequestQueueClient), you can access a request queue using its respective client. Once you've opened the request queue, you can use it in your crawler or add new requests like you would do with a queue from your current run.
-
-<Tabs groupId="main">
-<TabItem value="JavaScript" label="JavaScript">
-
-```js
-const otherQueueClient = apifyClient.requestQueue('jane-doe/old-queue');
-```
-
-</TabItem>
-<TabItem value="Python" label="Python">
-
-```python
-other_queue_client = apify_client.request_queue('jane-doe/old-queue')
-```
-
-</TabItem>
-</Tabs>
-
-The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
-
-Check out the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
-
-## Limits
-
-- The maximum length for request queue name is 63 characters.
-
-### Rate limiting {#rate-limiting}
-
-When managing request queues via [API](/api/v2#/reference/request-queues/put-items),
-CRUD ([add](/api/v2#/reference/request-queues/request-collection/add-request),
-[get](/api/v2#/reference/request-queues/request-collection/get-request),
-[update](/api/v2#/reference/request-queues/request-collection/update-request),
-[delete](/api/v2#/reference/request-queues/request-collection/delete-request))
-operation requests are limited to _200 requests per second_ per request queue. This helps protect Apify servers from being overloaded.
-
-All other request queue API [endpoints](/api/v2#/reference/request-queues) are limited to _30 requests per second_ per request queue.
-
-Check out the [API documentation](/api/v2#/introduction/rate-limiting) for more information and guidance on actions to take if you exceed these rate limits.
diff --git a/sources/platform/storage/usage.md b/sources/platform/storage/usage.md
deleted file mode 100644
index 49312633ab..0000000000
--- a/sources/platform/storage/usage.md
+++ /dev/null
@@ -1,181 +0,0 @@
----
-title: Usage
-description: Learn how to effectively use Apify's storage options. Understand key aspects of data retention, rate limiting, and secure sharing.
-sidebar_position: 9.1
-category: platform
-slug: /storage/usage
----
-
-**Learn how to effectively use Apify's storage options. Understand key aspects of data retention, rate limiting, and secure sharing.**
-
----
-
-## Dataset {#dataset}
-
-[Dataset](./dataset.md) storage allows you to store a series of data objects, such as results from web scraping, crawling, or data processing jobs. You can export your datasets in JSON, CSV, XML, RSS, Excel, or HTML formats.
-
-![Dataset graphic](../images/datasets-overview.png)
-
-## Key-value store {#key-value-store}
-
-The [key-value store](./key_value_store.md) is ideal for saving data records such as files, screenshots of web pages, and PDFs or for persisting your Actor's state. The records are accessible under a unique name and can be written and read quickly.
-
-![Key-value store graphic](../images/key-value-overview.svg)
-
-
-## Request queue {#request-queue}
-
-[Request queues](./request_queue.md) allow you to dynamically maintain a queue of URLs of web pages. You can use this when recursively crawling websites: you start from initial URLs and add new links as they are found while skipping duplicates.
-
-![Request queue graphic](../images/request-queue-overview.svg)
-
-## Basic usage {#basic-usage}
-
-You can access your storage in several ways:
-
-* [Apify Console](https://console.apify.com/storage) - provides an easy-to-use interface.
-* [Apify API](/api/v2#/reference/key-value-stores) - to access your storages programmatically.
-* [API clients](/api) - to access your storages from any Node.js/Python application.
-* [Apify SDKs](/sdk) - when building your own JavaScript/Python Actor.
-
-### Apify Console {#apify-console}
-
-To access your storages via Apify Console, navigate to the [**Storage**](https://console.apify.com/storage) section in the left-side menu. From there, you can click through the tabs to view your key-value stores, datasets, and request queues, and you can click on the **API** button in the top right corner to view related API endpoints. To view a storage, click its **ID**.
-
-![Storages in app](./images/datasets-app.png)
-
-> Use the **Include unnamed storages** checkbox to either display or hide unnamed storages. By default Apify Console will display them.
-
-You can edit your store's name by clicking on the **Actions** menu and selecting **Rename**.
-
-Additionally, you can quickly share the contents and details of your storage by selecting **Share** under the **Actions** menu and providing either email, username or user ID.
-
-![Storage API](./images/overview-api.png)
-
-<!-- vale Microsoft.Dashes = NO -->
-These URLs link to API _endpoints_—the places where your data is stored. Endpoints that allow you to _read_ stored information do not require an [authentication token](/api/v2#/introduction/authentication). Calls are authenticated using a hard-to-guess ID, allowing for secure sharing. However, operations such as _update_ or _delete_ require the authentication token.
-<!-- vale Microsoft.Dashes = YES -->
-
-> Never share a URL containing your authentication token, to avoid compromising your account's security. <br/>
-> If the data you want to share requires a token, first download the data, then share it as a file.
-
-### Apify API {#apify-api}
-
-The [Apify API](/api/v2#/reference/key-value-stores) allows you to access your storages programmatically using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods) and easily share your crawling results.
-
-In most cases, when accessing your storages via API, you will need to provide a `store ID`, which you can do in the following formats:
-
-* `WkzbQMuFYuamGv3YF` - the store's alphanumerical ID if the store is unnamed.
-* `~store-name` - the store's name prefixed with tilde (`~`) character if the store is named (e.g. `~ecommerce-scraping-results`)
-* `username~store-name` - username and the store's name separated by a tilde (`~`) character if the store is named and belongs to a different account (e.g. `janedoe~ecommerce-scraping-results`). Note that in this case, the store's owner needs to grant you access first.
-
-For read (GET) requests, it is enough to use a store's alphanumerical ID, since the ID is hard to guess and effectively serves as an authentication key.
-
-With other request types and when using the `username~store-name`, however, you will need to provide your secret API token in your request's [`Authorization`](/api/v2#/introduction/authentication) header or as a query parameter. You can find your token on the [Integrations](https://console.apify.com/account?tab=integrations) page of your Apify account.
-
-For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/datasets).
-
-### Apify API Clients
-
-The Apify API Clients allow you to access your datasets from any Node.js or Python application, whether it's running on the Apify platform or externally.
-
-You can visit [API Clients](/api) documentations for more information.
-
-### Apify SDKs
-
-The Apify SDKs are libraries in JavaScript or Python that proviede tools for building your own Actors.<br />
-
-* JavaScript SDK requires [Node.js](https://nodejs.org/en/) 16 or later.
-* Python SDK requires [Python](https://www.python.org/downloads/release/python-380/) 3.8 or above.
-
-## Rate limiting {#rate-limiting}
-
-All API endpoints limit their rate of requests to protect Apify servers from overloading. The default rate limit for storage objects is _30 requests per second_. However, there are exceptions limited to _200 requests per second_ per storage object, including:
-
-* [Push items](/api/v2#/reference/datasets/item-collection/put-items) to dataset.
-* CRUD ([add](/api/v2#/reference/request-queues/request-collection/add-request),
-[get](/api/v2#/reference/request-queues/request-collection/get-request),
-[update](/api/v2#/reference/request-queues/request-collection/update-request),
-[delete](/api/v2#/reference/request-queues/request-collection/delete-request))
-operations of _request queue_ requests.
-
-If a client exceeds this limit, the API endpoints responds with the HTTP status code `429 Too Many Requests` and the following body:
-
-```json
-{
-    "error": {
-        "type": "rate-limit-exceeded",
-        "message": "You have exceeded the rate limit of ... requests per second"
-    }
-}
-```
-
-Go to the [API documentation](/api/v2#/introduction/rate-limiting) for details and to learn what to do if you exceed the rate limit.
-
-## Data retention {#data-retention}
-
-Apify securely stores your ten most recent runs indefinitely, ensuring your records are always accessible. Unnamed datasets and runs beyond the latest ten will be automatically deleted after 7 days unless otherwise specified. Named datasets are retained indefinitely.
-
-### Preserving your storages {#preserving-storages}
-
-To ensure indefinite retention of your storages, assign them a name. This can be done via Apify Console or through our API. First, you'll need your store's ID. You can find it in the details of the run that created it. In Apify Console, head over to your run's details and select the **Dataset**, **Key-value store**, or **Request queue** tab as appropriate. Check that store's details, and you will find its ID among them.
-
-![Finding your store's ID](./images/find-store-id.png)
-
-Find and open your storage by clicking the ID, click on the **Actions** menu, choose **Rename**, and enter its new name in the field. Your storage will now be preserved indefinitely.
-
-To name your storage via API, get its ID from the run that generated it using the [Get run](/api/v2#/reference/actor-runs/run-object-and-its-storages/get-run) endpoint. You can then give it a new name using the `Update \[storage\]` endpoint. For example, [Update dataset](/api/v2#/reference/datasets/dataset/update-dataset).
-
-Our SDKs and clients each have unique naming conventions for storages. For more information check out documentation:
-
-* [SDKs](/sdk)
-* [API Clients](/api)
-
-## Named and unnamed storages {#named-and-unnamed-storages}
-
-The default storages for an Actor run are unnamed, identified only by an _ID_. This allows them to expire after 7 days (or longer on paid plans) conserving your storage space. If you want to preserve a storage, [assign it a name](#preserving-storages), and it will be retained indefinitely.
-
-> Storages' names can be up to 63 characters long.
-
-Named and unnamed storages are identical in all aspects except for their retention period. The key advantage of named storages is their ease in identifying and verifying the correct store.
-
-For example, storage names `janedoe~my-storage-1` and `janedoe~web-scrape-results` are easier to tell apart than the alphanumerical IDs `cAbcYOfuXemTPwnIB` and `CAbcsuZbp7JHzkw1B`.
-
-## Sharing {#sharing}
-
-You can grant [access rights](../collaboration/index.md) to others Apify users to view or modify your storages. Check the [full list of permissions](../collaboration/list_of_permissions.md).
-
-### Sharing storages between runs {#sharing-storages-between-runs}
-
-Storage can be accessed from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run, provided you have its _name_ or _ID_. You can access and manage storages from other runs using the same methods or endpoints as with storages from your current run.
-
-[Datasets](./dataset.md) and [key-value stores](./key_value_store.md) support concurrent use by multiple Actors. Thus, several Actors or tasks can simultaneously write data to a single dataset or key-value store. Similarly, multiple runs can read data from datasets and key-value stores at the same time.
-
-[Request queues](./request_queue.md), on the other hand, only allow multiple runs to add new data. A request queue can only be processed by one Actor or task run at any one time.
-
-> When multiple runs try to write data to a storage simultaneously, the order of data writing cannot be controlled. Data is written as each request is processed. <br/>
-> Similar principle applies in key-value stores and request queues, when a delete request for a record precedes a read request for the same record, the read request will fail.
-
-## Deleting storages {#deleting-storages}
-
-Named storages are only removed upon your request.<br/>
-You can delete storages in the following ways:
-
-* [Apify Console](https://console.apify.com/storage) - using the **Actions** button in the store's detail page.
-* [JavaScript SDK](/sdk/js) - using the `.drop()` method of the
-  [Dataset](/sdk/js/api/apify/class/Dataset#drop),
-  [Key-value store](/sdk/js/api/apify/class/KeyValueStore#drop),
-  or [Request queue](/sdk/js/api/apify/class/RequestQueue#drop) class.
-* [Python SDK](/sdk/python) - using the `.drop()` method of the
-  [Dataset](/sdk/python/reference/class/Dataset#drop),
-  [Key-value store](/sdk/python/reference/class/KeyValueStore#drop),
-  or [Request queue](/sdk/python/reference/class/RequestQueue#drop) class.
-* [JavaScript API client](/api/client/js) - using the `.delete()` method in the
-[dataset](/api/client/js/reference/class/DatasetClient),
-[key-value store](/api/client/js/reference/class/KeyValueStoreClient),
-or [request queue](/api/client/js/reference/class/RequestQueueClient) clients.
-* [Python API client](/api/client/python) - using the `.delete()` method in the
-[dataset](/api/client/python#datasetclient),
-[key-value store](/api/client/python/reference/class/KeyValueStoreClient),
-or [request queue](/api/client/python/reference/class/RequestQueueClient) clients.
-* [API](/api/v2#/reference/key-value-stores/store-object/delete-store) using the - `Delete [store]` endpoint, where `[store]` is the type of storage you want to delete.

From 3fc4551600139757d9c1f5b178b37e6719a2254a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Mon, 7 Oct 2024 14:40:52 +0200
Subject: [PATCH 3/9] Revert "fix broken anchor links"

This reverts commit cf5f49297ca51e36af6a9e88511004696706f044.
---
 .../deploying_your_code/input_schema.md       |  10 +-
 .../bypassing_anti_scraping.md                |   2 +-
 .../solutions/handling_migrations.md          |   2 +-
 .../tasks_and_storage.md                      |   2 +-
 .../getting_started/inputs_outputs.md         |   4 +-
 .../apify_scrapers/cheerio_scraper.md         |  34 +-
 .../apify_scrapers/getting_started.md         |  58 +-
 .../apify_scrapers/puppeteer_scraper.md       |  40 +-
 .../tutorials/apify_scrapers/web_scraper.md   |  34 +-
 .../analyzing_pages_and_fixing_errors.md      |   2 +-
 .../filter_blocked_requests_using_sessions.md |   4 +-
 .../tutorials/php/using_apify_from_php.md     |   4 +-
 .../data_extraction/using_devtools.md         |   2 +-
 sources/platform/storage/dataset.md           | 459 ++++++++++++++
 .../platform/storage/images/datasets-app.png  | Bin 0 -> 73072 bytes
 .../storage/images/datasets-detail.png        | Bin 0 -> 114389 bytes
 .../platform/storage/images/find-store-id.png | Bin 0 -> 40396 bytes
 .../storage/images/key-value-stores-app.png   | Bin 0 -> 73815 bytes
 .../images/key-value-stores-detail.png        | Bin 0 -> 53129 bytes
 .../platform/storage/images/overview-api.png  | Bin 0 -> 100286 bytes
 .../storage/images/request-queue-app.png      | Bin 0 -> 83407 bytes
 .../storage/images/request-queue-detail.png   | Bin 0 -> 82521 bytes
 sources/platform/storage/index.md             |  37 ++
 sources/platform/storage/key_value_store.md   | 325 ++++++++++
 sources/platform/storage/request_queue.md     | 583 ++++++++++++++++++
 sources/platform/storage/usage.md             | 181 ++++++
 26 files changed, 1684 insertions(+), 99 deletions(-)
 create mode 100644 sources/platform/storage/dataset.md
 create mode 100644 sources/platform/storage/images/datasets-app.png
 create mode 100644 sources/platform/storage/images/datasets-detail.png
 create mode 100644 sources/platform/storage/images/find-store-id.png
 create mode 100644 sources/platform/storage/images/key-value-stores-app.png
 create mode 100644 sources/platform/storage/images/key-value-stores-detail.png
 create mode 100644 sources/platform/storage/images/overview-api.png
 create mode 100644 sources/platform/storage/images/request-queue-app.png
 create mode 100644 sources/platform/storage/images/request-queue-detail.png
 create mode 100644 sources/platform/storage/index.md
 create mode 100644 sources/platform/storage/key_value_store.md
 create mode 100644 sources/platform/storage/request_queue.md
 create mode 100644 sources/platform/storage/usage.md

diff --git a/sources/academy/platform/deploying_your_code/input_schema.md b/sources/academy/platform/deploying_your_code/input_schema.md
index c684d5b9cd..fb0ba9b564 100644
--- a/sources/academy/platform/deploying_your_code/input_schema.md
+++ b/sources/academy/platform/deploying_your_code/input_schema.md
@@ -5,7 +5,7 @@ sidebar_position: 2
 slug: /deploying-your-code/input-schema
 ---
 
-# Input schema
+# Input schema {#input-schema}
 
 **Learn how to generate a user interface on the platform for your Actor's input with a single file - the INPUT_SCHEMA.json file.**
 
@@ -30,7 +30,7 @@ In the root of our project, we'll create a file named **INPUT_SCHEMA.json** and
 
 The **title** and **description** simply describe what the input schema is for, and a bit about what the Actor itself does.
 
-## Properties
+## Properties {#properties}
 
 In order to define all of the properties our Actor is expecting, we must include them within an object with a key of **properties**.
 
@@ -53,7 +53,7 @@ Each property's key corresponds to the name we're expecting within our code, whi
 
 ## Property types & editor types {#property-types}
 
-Within our new **numbers** property, there are two more fields we must specify. Firstly, we must let the platform know that we're expecting an array of numbers with the **type** field. Then, we should also instruct Apify on which UI component to render for this input property. In our case, we have an array of numbers, which means we should use the **json** editor type that we discovered in the ["array" section](/platform/actors/development/actor-definition/input-schema/specification/v1#array) of the input schema documentation. We could also use **stringList**, but then we'd have to parse out the numbers from the strings.
+Within our new **numbers** property, there are two more fields we must specify. Firstly, we must let the platform know that we're expecting an array of numbers with the **type** field. Then, we should also instruct Apify on which UI component to render for this input property. In our case, we have an array of numbers, which means we should use the **json** editor type that we discovered in the ["array" section](/platform/actors/development/actor-definition/input-schema#array) of the input schema documentation. We could also use **stringList**, but then we'd have to parse out the numbers from the strings.
 
 ```json
 {
@@ -72,7 +72,7 @@ Within our new **numbers** property, there are two more fields we must specify.
 }
 ```
 
-## Required fields
+## Required fields {#required-fields}
 
 The great thing about building an input schema is that it will automatically validate your inputs based on their type, maximum value, minimum value, etc. Sometimes, you want to ensure that the user will always provide input for certain fields, as they are crucial to the Actor's run. This can be done by using the **required** field and passing in the names of the fields you'd like to require.
 
@@ -96,7 +96,7 @@ The great thing about building an input schema is that it will automatically val
 
 For our case, we've made the **numbers** field required, as it is crucial to our Actor's run.
 
-## Final thoughts
+## Final thoughts {#final-thoughts}
 
 Here is what the input schema we wrote will render on the platform:
 
diff --git a/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md b/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
index ccc9c62f3e..4e4fa6f226 100644
--- a/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
+++ b/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
@@ -20,7 +20,7 @@ You might have already noticed that we've been using the **RESIDENTIAL** proxy g
 ## Learning 🧠 {#learning}
 
 - Skim [this page](https://apify.com/proxy) for a general idea of Apify Proxy.
-- Give the [proxy documentation](/platform/proxy) a solid readover (feel free to skip most of the examples).
+- Give the [proxy documentation](/platform/proxy#our-proxies) a solid readover (feel free to skip most of the examples).
 - Check out the [anti-scraping guide](../../webscraping/anti_scraping/index.md).
 - Gain a solid understanding of the [SessionPool](https://crawlee.dev/api/core/class/SessionPool).
 - Look at a few Actors on the [Apify store](https://apify.com/store). How are they utilizing proxies?
diff --git a/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md b/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
index 87c5450f60..2cfba52a4d 100644
--- a/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
+++ b/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
@@ -231,7 +231,7 @@ That's everything! Now, even if the Actor migrates (or is gracefully aborted and
 
 **A:** It's not best to use this option by default. If it fails, there must be a reason, which would need to be thought through first - meaning that the edge case of failing should be handled when resurrecting the Actor. The state should be persisted beforehand.
 
-**Q: Migrations happen randomly, but by [aborting gracefully](/platform/actors/running/runs-and-builds#aborting-runs), you can simulate a similar situation. Try this out on the platform and observe what happens. What changes occur, and what remains the same for the restarted Actor's run?**
+**Q: Migrations happen randomly, but by [aborting gracefully](/platform/actors/running#aborting-runs), you can simulate a similar situation. Try this out on the platform and observe what happens. What changes occur, and what remains the same for the restarted Actor's run?**
 
 **A:** After aborting or throwing an error mid-process, it manages to start back from where it was upon resurrection.
 
diff --git a/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md b/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
index 98449a5e38..8d42fc6d18 100644
--- a/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
+++ b/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
@@ -24,7 +24,7 @@ Storage allows us to save persistent data for further processing. As you'll lear
 ## Learning 🧠 {#learning}
 
 - Check out [the docs about Actor tasks](/platform/actors/running/tasks).
-- Read about the [three main storage options](/platform/storage) on the Apify platform.
+- Read about the [two main storage options](/platform/storage#dataset) on the Apify platform.
 - Understand the [crucial differences between named and unnamed storages](/platform/storage/usage#named-and-unnamed-storages).
 - Learn about the [`Dataset`](/sdk/js/reference/class/Dataset) and [`KeyValueStore`](/sdk/js/reference/class/KeyValueStore) objects in the Apify SDK.
 
diff --git a/sources/academy/platform/getting_started/inputs_outputs.md b/sources/academy/platform/getting_started/inputs_outputs.md
index 10bda52d93..b7a95a8e66 100644
--- a/sources/academy/platform/getting_started/inputs_outputs.md
+++ b/sources/academy/platform/getting_started/inputs_outputs.md
@@ -65,7 +65,7 @@ Then, replace everything in **INPUT_SCHEMA.json**  with this:
 }
 ```
 
-> If you're interested in learning more about how the code works, and what the **INPUT_SCHEMA.json** means, read about [inputs](/sdk/js/docs/examples/accept-user-input) and [adding data to a dataset](/sdk/js/docs/examples/add-data-to-dataset) in the Apify SDK documentation, and refer to the [input schema docs](/platform/actors/development/actor-definition/input-schema/specification/v1).
+> If you're interested in learning more about how the code works, and what the **INPUT_SCHEMA.json** means, read about [inputs](/sdk/js/docs/examples/accept-user-input) and [adding data to a dataset](/sdk/js/docs/examples/add-data-to-dataset) in the Apify SDK documentation, and refer to the [input schema docs](/platform/actors/development/actor-definition/input-schema#integer).
 
 Finally, **Save** and **Build** the Actor just as you did in the previous lesson.
 
@@ -89,7 +89,7 @@ On the results tab, there are a whole lot of options for which format to view/do
 
 There's our solution! Did it work for you as well? Now, we can download the data right from the results tab to be used elsewhere, or even programmatically retrieve it by using [Apify's API](/api/v2) (we'll be discussing how to do this in the next lesson).
 
-It's important to note that the default dataset of the Actor, which we pushed our solution to, will be retained for 7 days. If we wanted the data to be retained for an indefinite period of time, we'd have to use a named dataset. For more information about named storages vs unnamed storages, read a bit about [data retention on the Apify platform](/platform/storage/usage#data-retention).
+It's important to note that the default dataset of the Actor, which we pushed our solution to, will be retained for 7 days. If we wanted the data to be retained for an indefinite period of time, we'd have to use a named dataset. For more information about named storages vs unnamed storages, read a bit about [data retention on the Apify platform](/platform/storage#data-retention).
 
 ## Next up {#next}
 
diff --git a/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md b/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
index b5fef6d886..a1ae5c7c1a 100644
--- a/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
@@ -17,7 +17,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## Getting to know our tools
+## [](#getting-to-know-our-tools) Getting to know our tools
 
 In the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started) tutorial, we've confirmed that the scraper works as expected,
 so now it's time to add more data to the results.
@@ -36,7 +36,7 @@ Now that's out of the way, let's open one of the Actor detail pages in the Store
 > If you're wondering why we're using Web Scraper as an example instead of Cheerio Scraper,
 it's only because we didn't want to triple the number of screenshots we needed to make. Lazy developers!
 
-## Building our Page function
+## [](#building-our-page-function) Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -52,7 +52,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### Title
+### [](#title) Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -79,7 +79,7 @@ async function pageFunction(context) {
 }
 ```
 
-### Description
+### [](#description) Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -98,7 +98,7 @@ async function pageFunction(context) {
 }
 ```
 
-### Modified date
+### [](#modified-date) Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -126,7 +126,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### Run count
+### [](#run-count) Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -165,7 +165,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### Wrapping it up
+### [](#wrapping-it-up) Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -243,13 +243,13 @@ async function pageFunction(context) {
 }
 ```
 
-### Test run
+### [](#test-run) Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## Pagination
+## [](#pagination) Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -265,7 +265,7 @@ with Cheerio? We don't have a browser to do it and we only have the HTML of the
 answer is that we can't click a button. Does that mean that we cannot get the data at all? Usually not,
 but it requires some clever DevTools-Fu.
 
-### Analyzing the page
+### [](#analyzing-the-page) Analyzing the page
 
 While with Web Scraper and **Puppeteer Scraper** ([apify/puppeteer-scraper](https://apify.com/apify/puppeteer-scraper)), we could get away with simply clicking a button,
 with Cheerio Scraper we need to dig a little deeper into the page's architecture. For this, we will use
@@ -281,7 +281,7 @@ Then we click the **Show more** button and wait for incoming requests to appear
 Now, this is interesting. It seems that we've only received two images after clicking the button and no additional
 data. This means that the data about Actors must already be available in the page and the **Show more** button only displays it. This is good news.
 
-### Finding the Actors
+### [](#finding-the-actors) Finding the Actors
 
 Now that we know the information we seek is already in the page, we just need to find it. The first Actor in the store
 is Web Scraper, so let's try using the search tool in the **Elements** tab to find some reference to it. The first
@@ -310,7 +310,7 @@ so you might already be wondering, can I just make one request to the store to g
 and then parse it out and be done with it in a single request? Yes you can! And that's the power
 of clever page analysis.
 
-### Using the data to enqueue all Actor details
+### [](#using-the-data-to-enqueue-all-actor-details) Using the data to enqueue all Actor details
 
 We don't really need to go to all the Actor details now, but for the sake of practice, let's imagine we only found
 Actor names such as `cheerio-scraper` and their owners, such as `apify` in the data. We will use this information
@@ -343,7 +343,7 @@ how to route those requests.
 >If you're wondering how we know the structure of the URL, see the [Getting started
 with Apify Scrapers](./getting_started.md) tutorial again.
 
-### Plugging it into the Page function
+### [](#plugging-it-into-the-page-function) Plugging it into the Page function
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it.
@@ -412,13 +412,13 @@ to get all results with Cheerio only and other times it takes hours of research.
 the right scraper for your job. But don't get discouraged. Often times, the only thing you will ever need is to
 define a correct Pseudo URL. Do your research first before giving up on Cheerio Scraper.
 
-## Downloading the scraped data
+## [](#downloading-our-scraped-data) Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### Clean items
+### [](#clean-items) Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -496,11 +496,11 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## Final word
+## [](#final-word) Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## What's next
+## [](#whats-next) What's next
 
 * Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 * [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/apify_scrapers/getting_started.md b/sources/academy/tutorials/apify_scrapers/getting_started.md
index 6c1a926647..140364c178 100644
--- a/sources/academy/tutorials/apify_scrapers/getting_started.md
+++ b/sources/academy/tutorials/apify_scrapers/getting_started.md
@@ -13,7 +13,7 @@ slug: /apify-scrapers/getting-started
 
 Welcome to the getting started tutorial! It will walk you through creating your first scraping task step by step. You will learn how to set up all the different configuration options, code a **Page function** (`pageFunction`), and finally download the scraped data either as an Excel sheet or in another format, such as JSON or CSV. But first, let's give you a brief introduction to web scraping with Apify.
 
-## What is an Apify scraper
+## [](#what-is-an-apify-scraper) What is an Apify scraper
 
 It doesn't matter whether you arrived here from **Web Scraper** ([apify/web-scraper](https://apify.com/apify/web-scraper)), **Puppeteer Scraper** ([apify/puppeteer-scraper](https://apify.com/apify/puppeteer-scraper)) or **Cheerio Scraper** ([apify/cheerio-scraper](https://apify.com/apify/cheerio-scraper)).  All of them are **Actors** and for now, let's just think of an **Actor** as an application that you can use with your own configuration. **apify/web-scraper** is therefore an application called **web-scraper**, built by **apify**, that you can configure to scrape any webpage. We call these configurations **tasks**.
 
@@ -21,7 +21,7 @@ It doesn't matter whether you arrived here from **Web Scraper** ([apify/web-scra
 
 You can create 10 different **tasks** for 10 different websites, with very different options, but there will always be just one **Actor**, the `apify/*-scraper` you chose. This is the essence of tasks. They are nothing but **saved configurations** of the Actor that you can run easily and repeatedly.
 
-## Trying it out
+## [](#trying-it-out) Trying it out
 
 Depending on how you arrived at this tutorial, you may already have your first task created for the scraper of your choice. If not, the easiest way is to go to [Apify Store](https://console.apify.com/actors#/store/) and select the Actor you want to base your task on. Then, click the **Create a new task** button in the top-right corner.
 
@@ -29,7 +29,7 @@ Depending on how you arrived at this tutorial, you may already have your first t
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/actor-selection.webp)
 
-### Running a task
+### [](#running-a-task) Running a task
 
 This takes you to the **Input and options** tab of the task configuration. Before we delve into the details, let's just see how the example works. You can see that there are already some pre-configured input values. It says that the task should visit **https://apify.com** and all its subpages, such as **https://apify.com/contact** and scrape some data using the provided `pageFunction`, specifically the `<title>` of the page and its URL.
 
@@ -39,7 +39,7 @@ Scroll down to the **Performance and limits** section and set the **Max pages pe
 
 Now click **Save & Run**! *(in the bottom-left part of your screen)*
 
-### The run detail
+### [](#the-run-detail) The run detail
 
 After clicking **Save & Run**, the window will change to the run detail. Here, you will see the run's log. If it seems that nothing is happening, don't worry, it takes a few seconds for the run to fully boot up. In under a minute, you should have the 10 pages scraped. You will know that the run successfully completed when the `RUNNING` card in top-left corner changes to `SUCCEEDED`.
 
@@ -51,13 +51,13 @@ Now that the run has `SUCCEEDED`, click on the glowing **Results** card to see t
 
 Good job! We've run our first task and got some results. Let's learn how to change the default configuration to scrape something more interesting than just the page's `<title>`.
 
-## Creating your own task
+## [](#creating-your-own-task) Creating your own task
 
 Before we jump into the scraping itself, let's just have a quick look at the user interface that's available to us. Click on the task's name in the top-left corner to visit the task's configuration.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/task-name.webp)
 
-### Input and options
+### [](#input) Input and options
 
 The **Input** tab is where we started and it's the place where you create your scraping configuration. The Actor's creator prepares the **Input** form so that you can easily tell the Actor what to do. Feel free to check the tooltips of the various options to get a better idea of what they do. To display the tooltip, just click the question mark next to each input field's name.
 
@@ -67,33 +67,33 @@ Below the input fields are the Build, Timeout and Memory options. Let's keep the
 
 > Timeouts are there to prevent tasks from running forever. Always set a reasonable timeout to prevent a rogue task from eating up all your compute units.
 
-### Settings
+### [](#settings) Settings
 
 In the settings tab, you can set options that are common to all tasks and not directly related to the Actor's purpose. Unless you've already changed the task's name, it's set to **my-task**, so why not try changing it to **my-first-scraper** and clicking **Save**.
 
-### Runs
+### [](#runs) Runs
 
 You can find all the task runs and their detail pages here. Every time you start a task, it will appear here in the list. Apify securely stores your ten most recent runs indefinitely, ensuring your records are always accessible. All of your task's runs and their outcomes, beyond the latest ten, will be stored here for the data retention period, [which you can find under your plan](https://apify.com/pricing).
 
-### Webhooks
+### [](#webhooks) Webhooks
 
 Webhooks are a feature that help keep you aware of what's happening with your tasks. You can set them up to inform you when a task starts, finishes, fails etc., or you can even use them to run more tasks, depending on the outcome of the original one. [See webhooks documentation](/platform/integrations/webhooks).
 
-### Information
+### [](#readme) Information
 
 Since tasks are just configurations for Actors, this tab shows you all the information about the underlying Actor, the Apify scraper of your choice. You can see the available versions and their READMEs - it's always a good idea to read an Actor's README first before creating a task for it.
 
-### API
+### [](#api) API
 
 The API tab gives you a quick overview of all the available API calls in case you would like to use your task programmatically. It also includes links to detailed API documentation. You can even try it out immediately using the **Test endpoint** button.
 
 > Never share a URL containing the authentication token (`?token=...` parameter in the URLs), as this will compromise your account's security.
 
-## Scraping theory
+## [](#scraping-theory) Scraping theory
 
 Since this is a tutorial, we'll be scraping our own website. [Apify Store](https://apify.com/store) is a great candidate for some scraping practice. It's a page built on popular technologies, which displays a lot of different items in various categories, just like an online store, a typical scraping target, would.
 
-### The goal
+### [](#the-goal) The goal
 
 We want to create a scraper that scrapes all the Actors in the store and collects the following attributes for each Actor:
 
@@ -106,7 +106,7 @@ We want to create a scraper that scrapes all the Actors in the store and collect
 
 Some of this information may be scraped directly from the listing pages, but for the rest, we will need to visit the detail pages of all the Actors.
 
-### The start URL
+### [](#the-start-url) The start URL
 
 Let's start with something simple. In the **Input** tab of the task we have, we'll change the **Start URL** from **https://apify.com**. This will tell the scraper to start by opening a different URL. You can add more **Start URL**s or even [use a file with a list of thousands of them](#-crawling-the-website-with-pseudo-urls), but in this case, we'll be good with just one.
 
@@ -124,7 +124,7 @@ We also need to somehow distinguish the **Start URL** from all the other URLs th
 }
 ```
 
-### Filtering with a Link selector
+### [](#filtering-with-a-link-selector) Filtering with a Link selector
 
 The **Link selector**, together with **Pseudo URL**s, are your URL matching arsenal. The Link selector is a CSS selector and its purpose is to select the HTML elements where the scraper should look for URLs. And by looking for URLs, we mean finding the elements' `href` attributes. For example, to enqueue URLs from `<div class="my-class" href=...>` tags, we would enter `'div.my-class'`.
 
@@ -138,7 +138,7 @@ div.item > a
 
 Save it as your **Link selector**. If you're wondering how we figured this out, just follow along with the tutorial. By the time we finish, you'll know why we used this selector, too.
 
-### Crawling the website with pseudo URLs
+### [](#crawling-the-website-with-pseudo-url) Crawling the website with pseudo URLs
 
 What is a **Pseudo URL**? Let us explain. Before we can start scraping the Actor details, we need to find all the links to the details. If the links follow a set structure, we can use a certain pattern to describe this structure. And that's what a **Pseudo URL** is. A pattern that describes a URL structure. By setting a **Pseudo URL**, all links that follow the given structure will automatically be added to the crawling queue.
 
@@ -188,15 +188,15 @@ Let's use the above **Pseudo URL** in our task. We should also add a label as we
 }
 ```
 
-### Test run
+### [](#test-run) Test run
 
 Now that we've added some configuration, it's time to test it. Just run the task, keeping the **Max pages per run** set to `10` and the `pageFunction` as it is. You should see in the log that the scraper first visits the **Start URL** and then several of the Actor details matching the **Pseudo URL**.
 
-## The page function
+## [](#the-page-function) The page function
 
 The `pageFunction` is a JavaScript function that gets executed for each page the scraper visits. To figure out how to create it, you must first inspect the page's structure to get an idea of its inner workings. The best tools for that are a browser's inbuilt developer tools - DevTools.
 
-### Using DevTools
+### [](#using-devtools) Using DevTools
 
 Open [Apify Store](https://apify.com/store) in the Chrome browser (or use any other browser, just note that the DevTools may differ slightly) and open the DevTools, either by right-clicking on the page and selecting **Inspect** or by pressing **F12**.
 
@@ -208,11 +208,11 @@ You'll see that the Element tab jumps to the first `<title>` element of the curr
 
 > For the sake of brevity, we won't go into the details of using the DevTools in this tutorial. If you're just starting out with DevTools, this [Google tutorial](https://developers.google.com/web/tools/chrome-devtools/) is a good place to begin.
 
-### Understanding `context`
+### [](#understanding-context) Understanding `context`
 
 The `pageFunction` has access to global variables such as `window` and `document`, which are provided by the browser, as well as to `context`, which is the `pageFunction`'s single argument. `context` carries a lot of useful information and helpful functions, which are described in the Actor's README.
 
-### New page function boilerplate
+### [](#new-page-function-boilerplate) New page function boilerplate
 
 We know that we'll visit two kinds of pages, the list page (**Start URL**) and the detail pages (enqueued using the **Pseudo URL**). We want to enqueue links on the list page and scrape data on the detail page.
 
@@ -238,19 +238,19 @@ async function pageFunction(context) {
 
 This may seem like a lot of new information, but it's all connected to our earlier configuration.
 
-### `context.request`
+### [](#context-request) `context.request`
 
 The `request` is an instance of the [`Request`](https://sdk.apify.com/docs/api/request) class and holds information about the currently processed page, such as its `url`. Each `request` also has the `request.userData` property of type `Object`. While configuring the **Start URL** and the **Pseudo URL**, we gave them a `label`. We're now using them in the `pageFunction` to distinguish between the store page and the detail pages.
 
-### `context.skipLinks()`
+### [](#context-skip-links) `context.skipLinks()`
 
 When a **Pseudo URL** is set, the scraper attempts to enqueue matching links on each page it visits. `skipLinks()` is used to tell the scraper that we don't want this to happen on the current page.
 
-### `context.log`
+### [](#context-log) `context.log`
 
 `log` is used for printing messages to the console. You may be tempted to use `console.log()`, but this will not work unless you turn on the **Browser log** option. `log.info()` should be used for general messages, but you can also use `log.debug()` for messages that will only be shown when you turn on the **Debug log** option. [See the docs for more info](https://sdk.apify.com/docs/api/log).
 
-### The page function's return value
+### [](#the-page-functions-return-value) The page function's return value
 
 The `pageFunction` may only return nothing, `null`, `Object` or `Object[]`. If an `Object` is returned, it will be saved as a single result. Returning an `Array` of `Objects` will save each item in the array as a result.
 
@@ -272,7 +272,7 @@ will produce the following table:
 | ----- | --- |
 | Web Scraping, Data Extraction and Automation - Apify | https://apify.com |
 
-## Scraper lifecycle
+## [](#scraper-lifecycle) Scraper lifecycle
 
 Now that we're familiar with all the pieces in the puzzle, we'll quickly take a look at the scraper lifecycle,
 or in other words, what the scraper actually does when it scrapes. It's quite straightforward.
@@ -288,7 +288,7 @@ The scraper:
 
 > When you're not using the request queue, the scraper just repeats steps 1 and 2. You would not use the request queue when you already know all the URLs you want to visit. For example, when you have a pre-existing list of a thousand URLs that you uploaded as a text file. Or when scraping just a single URL.
 
-## Scraping practice
+## [](#scraping-practice) Scraping practice
 
 We've covered all the concepts that we need to understand to successfully scrape the data in our goal,
 so let's get to it and start with something really simple. We will only output data that are already available
@@ -301,7 +301,7 @@ const { url } = request;
 const uniqueIdentifier = url.split('/').slice(-2).join('/');
 ```
 
-### Test run 2
+### [](#test-run-2) Test run 2
 
 We'll add our first data to the `pageFunction` and carry out a test run to see that everything works as expected.
 
@@ -333,7 +333,7 @@ async function pageFunction(context) {
 
 Now **Save & Run** the task and once it finishes, check the dataset by clicking on the **Results** card. Click **Preview** and you should see the URLs and unique identifiers scraped. Great job!
 
-## Choosing sides
+## [](#choosing-sides) Choosing sides
 
 Up until now, everything has been the same for all the Apify scrapers. Whether you're using Web Scraper,
 Puppeteer Scraper or Cheerio Scraper, what you've learned now will always be the same.
diff --git a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
index 4ea3bd9ee4..bf41a38478 100644
--- a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
@@ -17,7 +17,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## Getting to know our tools
+## [](#getting-to-know-our-tools) Getting to know our tools
 
 In the [Getting started with Apify scrapers](https://apify.com/docs/scraping/tutorial/introduction) tutorial, we've confirmed that the scraper works as expected,
 so now it's time to add more data to the results.
@@ -33,7 +33,7 @@ you'll need to visit its [documentation](https://pptr.dev/) and really dive deep
 it in a nice, manageable UI. It provides almost all of its features in a format that is much easier to grasp
 when first trying to scrape using Puppeteer.
 
-### Web Scraper differences
+### [](#web-scraper-differences) Web Scraper differences
 
 At first glance, it may seem like **Web Scraper** ([apify/web-scraper](https://apify.com/apify/web-scraper)) and Puppeteer Scraper are almost the same. Well, they are.
 In fact, Web Scraper uses Puppeteer underneath. The difference is the amount of control they give you.
@@ -52,7 +52,7 @@ Now that's out of the way, let's open one of the Actor detail pages in the Store
 > If you're wondering why we're using Web Scraper as an example instead of Puppeteer Scraper,
 it's only because we didn't want to triple the number of screenshots we needed to make. Lazy developers!
 
-## Building our Page function
+## [](#building-our-page-function) Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -68,7 +68,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### Title
+### [](#title) Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -104,7 +104,7 @@ function allows you to run a function in the browser, with the selected element
 Here we use it to extract the text content of a `h1` element that's in the page. The return value of the function
 is automatically passed back to the Node.js context, so we receive an actual `string` with the element's text.
 
-### Description
+### [](#description) Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -131,7 +131,7 @@ async function pageFunction(context) {
 }
 ```
 
-### Modified date
+### [](#modified-date) Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -174,7 +174,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### Run count
+### [](#run-count) Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -224,7 +224,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### Wrapping it up
+### [](#wrapping-it-up) Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -346,13 +346,13 @@ all the functions to start at the same time and only wait for all of them to fin
 concurrency or parallelism. Unless the functions need to be executed in a specific order, it's often a good idea
 to run them concurrently to speed things up.
 
-### Test run
+### [](#test-run) Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## Pagination
+## [](#pagination) Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -362,7 +362,7 @@ one needs to click the **Show more** button at the very bottom of the list. This
 that take you to the next page. If you encounter those, just make a **Pseudo URL** for those links and they will
 be automatically enqueued to the request queue. Use a label to let the scraper know what kind of URL it's processing.
 
-### Waiting for dynamic content
+### [](#waiting-for-dynamic-content) Waiting for dynamic content
 
 Before we talk about paginating, we need to have a quick look at dynamic content. Since Apify Store is a JavaScript
 application (a popular approach), the button might not exist in the page when the scraper runs the `pageFunction`.
@@ -407,7 +407,7 @@ await page.waitFor('.bad-class', { timeout: 5000 });
 
 With those tools, you should be able to handle any dynamic content the website throws at you.
 
-### How to paginate
+### [](#how-to-paginate)  How to paginate
 
 With the theory out of the way, this should be pretty easy. The algorithm is a loop:
 
@@ -491,7 +491,7 @@ already loaded and we're just waiting for the page to re-render so waiting for `
 that the button is not there. We don't want to stall the scraper for `30` seconds just to make sure that there's
 no button.
 
-### Plugging it into the Page function
+### [](#pagination-page-function) Plugging it into the Page function
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it.
@@ -584,13 +584,13 @@ it's probably just some typo.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/plugging-it-into-the-pagefunction.webp)
 
-## Downloading the scraped data
+## [](#downloading-our-scraped-data) Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### Clean items
+### [](#clean-items) Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -600,7 +600,7 @@ Clean items, on the other hand, include only the data you returned from the `pag
 
 To control this, open the **Advanced options** view on the **Dataset** tab.
 
-## Bonus: Making your code neater
+## [](#bonus-making-your-code-neater) Bonus: Making your code neater
 
 You may have noticed that the `pageFunction` gets quite bulky. To make better sense of your code and have an easier
 time maintaining or extending your task, feel free to define other functions inside the `pageFunction`
@@ -700,13 +700,13 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## Bonus 2: Using jQuery with Puppeteer Scraper
+## [](#bonus-2-using-jquery-with-puppeteer-scraper)  Bonus 2: Using jQuery with Puppeteer Scraper
 
 If you're familiar with the [jQuery library](https://jquery.com/), you may have looked at the scraping code and thought
 that it's unnecessarily complicated. That's probably up to everyone to decide on their own, but the good news is,
 you can easily use jQuery with Puppeteer Scraper too.
 
-### Injecting jQuery
+### [](#injecting-jquery) Injecting jQuery
 
 To be able to use jQuery, we first need to introduce it to the browser. Fortunately, we have a helper function to
 do just that: [`Apify.utils.puppeteer.injectJQuery`](https://sdk.apify.com/docs/api/puppeteer#puppeteerinjectjquerypage)
@@ -819,11 +819,11 @@ async function pageFunction(context) {
 injecting it outside of the browser. We're using the [`page.evaluate()`](https://pptr.dev/#?product=Puppeteer&show=api-pageevaluatepagefunction-args)
 function to run the script in the context of the browser and the return value is passed back to Node.js. Keep this in mind.
 
-## Final word
+## [](#final-word) Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## What's next
+## [](#whats-next) What's next?
 
 - Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 - [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/apify_scrapers/web_scraper.md b/sources/academy/tutorials/apify_scrapers/web_scraper.md
index ba76c5cf93..2f712b12b4 100644
--- a/sources/academy/tutorials/apify_scrapers/web_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/web_scraper.md
@@ -18,7 +18,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## Getting to know our tools
+## [](#getting-to-know-our-tools) Getting to know our tools
 
 In the [Getting started with Apify scrapers](https://apify.com/docs/scraping/tutorial/introduction) tutorial,
 we've confirmed that the scraper works as expected, so now it's time to add more data to the results.
@@ -34,7 +34,7 @@ This will add a `context.jQuery` function that you can use.
 Now that's out of the way, let's open one of the Actor detail pages in the Store, for example
 the [Web Scraper](https://apify.com/apify/web-scraper) page and use our DevTools-Fu to scrape some data.
 
-## Building our Page function
+## [](#building-our-page-function) Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -50,7 +50,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### Title
+### [](#title) Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -78,7 +78,7 @@ async function pageFunction(context) {
 }
 ```
 
-### Description
+### [](#description) Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -98,7 +98,7 @@ async function pageFunction(context) {
 }
 ```
 
-### Modified date
+### [](#modified-date) Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -127,7 +127,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### Run count
+### [](#run-count) Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -167,7 +167,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### Wrapping it up
+### [](#wrapping-it-up) Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -244,13 +244,13 @@ async function pageFunction(context) {
 }
 ```
 
-### Test run
+### [](#test-run) Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## Pagination
+## [](#pagination) Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -260,7 +260,7 @@ one needs to click the **Show more** button at the very bottom of the list. This
 that take you to the next page. If you encounter those, just make a **Pseudo URL** for those links and they will
 be automatically enqueued to the request queue. Use a label to let the scraper know what kind of URL it's processing.
 
-### Waiting for dynamic content
+### [](#waiting-for-dynamic-content) Waiting for dynamic content
 
 Before we talk about paginating, we need to have a quick look at dynamic content. Since Apify Store is a JavaScript
 application (a popular approach), the button might not exist in the page when the scraper runs the `pageFunction`.
@@ -302,7 +302,7 @@ await waitFor('.bad-class', { timeoutMillis: 5000 });
 
 With those tools, you should be able to handle any dynamic content the website throws at you.
 
-### How to paginate
+### [](#how-to-paginate) How to paginate
 
 With the theory out of the way, this should be pretty easy. The algorithm is a loop:
 
@@ -384,7 +384,7 @@ already loaded and we're just waiting for the page to re-render so waiting for `
 that the button is not there. We don't want to stall the scraper for `20` seconds just to make sure that there's
 no button.
 
-### Plugging it into the pageFunction
+### [](#plugging-it-into-the-page-function) Plugging it into the pageFunction
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it. And don't forget to destructure the `waitFor()`
@@ -459,13 +459,13 @@ it's probably just some typo.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/plugging-it-into-the-pagefunction.webp)
 
-## Downloading the scraped data
+## [](#downloading-our-scraped-data) Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### Clean items
+### [](#clean-items) Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -475,7 +475,7 @@ Clean items, on the other hand, include only the data you returned from the `pag
 
 To control this, open the **Advanced options** view on the **Dataset** tab.
 
-## Bonus: Making your code neater
+## [](#bonus-making-your-code-neater) Bonus: Making your code neater
 
 You may have noticed that the `pageFunction` gets quite bulky. To make better sense of your code and have an easier
 time maintaining or extending your task, feel free to define other functions inside the `pageFunction`
@@ -551,11 +551,11 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## Final word
+## [](#final-word) Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## What's next
+## [](#whats-next) What's next?
 
 - Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 - [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md b/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
index 9847ed3f68..6e42242171 100644
--- a/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
+++ b/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
@@ -127,7 +127,7 @@ Logging and snapshotting are great tools but once you reach a certain run size,
 
 ## With the Apify SDK {#with-the-apify-sdk}
 
-This example extends our snapshot solution above by creating a [named dataset](/platform/storage/usage#named-and-unnamed-storages) (named datasets have infinite retention), where we will accumulate error reports. Those reports will explain what happened and will link to a saved snapshot, so we can do a quick visual check.
+This example extends our snapshot solution above by creating a [named dataset](/platform/storage#named-and-unnamed-storages) (named datasets have infinite retention), where we will accumulate error reports. Those reports will explain what happened and will link to a saved snapshot, so we can do a quick visual check.
 
 ```js
 import { Actor } from 'apify';
diff --git a/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md b/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
index f12d3d3bbc..f107388cce 100644
--- a/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
+++ b/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
@@ -21,13 +21,13 @@ You want to crawl a website with a proxy pool, but most of your proxies are bloc
 
 5. The proxies actually got banned before anyone used them to crawl the website because they use anti-bot protection that bans proxies across websites (e.g. Cloudflare).
 
-Nobody can make sure that a proxy will work infinitely. The only real solution to this problem is to use [residential proxies](/platform/proxy/residential-proxy), but they can sometimes be too costly.
+Nobody can make sure that a proxy will work infinitely. The only real solution to this problem is to use [residential proxies](/platform/proxy#residential-proxy), but they can sometimes be too costly.
 
 However, usually, at least some of our proxies work. To crawl successfully, it is therefore imperative to handle blocked requests properly. You first need to discover that you are blocked, which usually means that either your request returned status greater or equal to 400 (simply it didn't return the proper response) or that the page displayed a captcha. To ensure that this bad request is retried, you usually just throw an error and it gets automatically retried later (our [SDK](/sdk/js/) handles this for you). Check out [this article](https://help.apify.com/en/articles/2190650-how-to-handle-blocked-requests-in-puppeteercrawler) as inspiration for how to handle this situation with `PuppeteerCrawler`  class.
 
 ### Solution
 
-Now we are able to retry bad requests and eventually unless all of our proxies get banned, we should be able to successfully crawl what we want. The problem is that it takes too long and our log is full of errors. Fortunately, we can overcome this with [proxy sessions](/platform/proxy/datacenter-proxy#username-parameters) (look at the proxy and SDK documentation for how to use them in your Actors.)
+Now we are able to retry bad requests and eventually unless all of our proxies get banned, we should be able to successfully crawl what we want. The problem is that it takes too long and our log is full of errors. Fortunately, we can overcome this with [proxy sessions](/platform/proxy#datacenter-proxy--username-params) (look at the proxy and SDK documentation for how to use them in your Actors.)
 
 First we define `sessions`  object at the top of our code (in global scope) to hold the state of our working sessions.
 
diff --git a/sources/academy/tutorials/php/using_apify_from_php.md b/sources/academy/tutorials/php/using_apify_from_php.md
index f55a8d41c9..885354b3b1 100644
--- a/sources/academy/tutorials/php/using_apify_from_php.md
+++ b/sources/academy/tutorials/php/using_apify_from_php.md
@@ -84,7 +84,7 @@ echo \json_encode($data, JSON_PRETTY_PRINT);
 
 You should see information about the run, including its ID and the ID of its default [dataset](/platform/storage/dataset). Take note of these, we will need them later.
 
-## Getting the results from dataset {#getting-dataset}
+## [](#getting-dataset) Getting the results from dataset
 
 Actors usually store their output in a default dataset. The [Actor runs endpoint](/api/v2#/reference/actor-runs) lets you get overall info about an Actor run's default dataset.
 
@@ -126,7 +126,7 @@ echo \json_encode($parsedResponse, JSON_PRETTY_PRINT);
 
 All the available parameters are described in [our API reference](/api/v2#/reference/datasets/item-collection/get-items) and work both for all datasets.
 
-## Getting the results from key-value stores {#getting-key-value-store}
+## [](#getting-key-value-store) Getting the results from key-value stores
 
 Datasets are great for structured data, but are not suited for binary files like images or PDFs. In these cases, Actors store their output in [key-value stores](/platform/storage/key-value-store). One such Actor is the **HTML String To PDF** ([mhamas/html-string-to-pdf](https://apify.com/mhamas/html-string-to-pdf)) converter. Let's run it.
 
diff --git a/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md b/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
index 08c92dc6df..339bb9c18b 100644
--- a/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
+++ b/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
@@ -114,7 +114,7 @@ As you can see, we were able to extract information about the subwoofer, but the
 
 ### Finding child elements {#finding-child-elements}
 
-In the [Getting structured data from HTML](#getting-structured-data) section, we were browsing the elements in the **Elements** tab to find the element that contains all the data. We can use the same approach to find the individual data points as well.
+In the [Getting structured data from HTML](#getting-structured-data-from-html) section, we were browsing the elements in the **Elements** tab to find the element that contains all the data. We can use the same approach to find the individual data points as well.
 
 Start from the element that contains all data: `<div class="product-item...">` Then inspect all the elements nested within this element. You'll discover that:
 
diff --git a/sources/platform/storage/dataset.md b/sources/platform/storage/dataset.md
new file mode 100644
index 0000000000..53c255f765
--- /dev/null
+++ b/sources/platform/storage/dataset.md
@@ -0,0 +1,459 @@
+---
+title: Dataset
+description: Store and export web scraping, crawling or data processing job results. Learn how to access and manage datasets in Apify Console or via API.
+sidebar_position: 9.2
+toc_max_heading_level: 4
+slug: /storage/dataset
+---
+
+# Dataset
+
+**Store and export web scraping, crawling or data processing job results. Learn how to access and manage datasets in Apify Console or via API.**
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+---
+
+Dataset storage enables you to sequentially save and retrieve data. A unique dataset is automatically created and assigned to each Actor run when the first item is stored.
+
+Typically, datasets comprises results from web scraping, crawling, and data processing jobs. You can visualize this data in a table, where each object is forming a row and its attributes are represented as columns. You have the option to export data in various formats, including JSON, CSV, XML, Excel, HTML Table, RSS or JSONL.
+
+> Named datasets are retained indefinitely. <br/>
+> Unnamed datasets expire after 7 days unless otherwise specified. <br/> > [Learn more](usage.md#named-and-unnamed-storages)
+
+Dataset storage is _append-only_ - data can only be added and cannot be modified or deleted once stored.
+
+## Basic usage
+
+You can access your datasets in several ways:
+
+- [Apify Console](https://console.apify.com) - provides an easy-to-understand interface.
+- [Apify API](/api/v2#) - to access your datasets programmatically.
+- [Apify API client](/api) - to access your datasets from any Node.js/Python application.
+- [Apify SDKs](/sdk) - when building your own JavaScript/Python Actor.
+
+### Apify Console
+
+In [Apify Console](https://console.apify.com), you can view your datasets in the [Storage](https://console.apify.com/storage) section under the [Datasets](https://console.apify.com/storage?tab=datasets) tab.
+
+![Datasets in app](./images/datasets-app.png)
+
+To view or download a dataset:
+
+1. Click on its **Dataset ID**.
+2. Select the format & configure other options if desired in **Export dataset** section.
+3. Click **Download**.
+
+Utilize the **Actions** menu to modify the dataset's name, which also affects its [retention period](./usage.md#data-retention-data-retention), and to adjust [access rights](../collaboration/index.md). The **API** button allows you to explore and test the dataset's [API endpoints](/api/v2#/reference/datasets).
+
+![Datasets detail view](./images/datasets-detail.png)
+
+### Apify API
+
+The [Apify API](/api/v2#/reference/datasets) enables you programmatic access to your datasets using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods).
+
+If you are accessing your datasets using the `username~store-name` [store ID format](./index.md), you will need to use your secret API token. You can find the token (and your user ID) on the [Integrations](https://console.apify.com/account#/integrations)tab of **Settings** page of your Apify account.
+
+> When providing your API authentication token, we recommend using the request's `Authorization` header, rather than the URL. ([More info](../integrations/programming/api.md#authentication)).
+
+To retrieve a list of you datasets, send a GET request to the [Get list of datasets](/api/v2#/reference/datasets/get-list-of-datasets) endpoint.
+
+```text
+https://api.apify.com/v2/datasets
+```
+
+To get information about a dataset such as its creation time and item count, send a GET request to the [Get dataset](/api/v2#/reference/datasets/dataset/get-dataset) endpoint.
+
+```text
+https://api.apify.com/v2/datasets/{DATASET_ID}
+```
+
+To view a dataset's data, send a GET request to the [Get dataset items](/api/v2#/reference/datasets/item-collection/get-items) Apify API endpoint.
+
+```text
+https://api.apify.com/v2/datasets/{DATASET_ID}/items
+```
+
+Control the data export by appending a comma-separated list of fields to the `fields` query parameter. Likewise, you can also omit certain fields using the `omit` parameter.
+
+> If you fill both `omit` and `field` parameters with the same value, then >`omit` parameter will take precedence and the field is excluded from the >results.
+
+In addition, you can set the format in which you retrieve the data using the `?format=` parameter. The available formats are `json`, `jsonl`, `csv`, `html`, `xlsx`, `xml` and `rss`. The default value is `json`.
+
+To retrieve the `hotel` and `cafe` fields, you would send your GET request to the URL below.
+
+```text
+https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=json&fields=hotel%2Ccafe
+```
+
+> Use `%2C` instead of commas for URL encoding, as `%2C` represent a comma. For morn on URL encoding check out [this page](https://www.url-encode-decode.com)
+
+To add data to a dataset, issue a POST request to the [Put items](/api/v2#/reference/datasets/item-collection/put-items) endpoint with the data as a JSON object payload.
+
+```text
+https://api.apify.com/v2/datasets/{DATASET_ID}/items
+```
+
+> API data push to a dataset is capped at _200 requests per second_ to avoid overloading our servers.
+
+Example payload:
+
+```json
+[
+    {
+        "foo": "bar"
+    },
+    {
+        "foo": "hotel"
+    },
+    {
+        "foo": "cafe"
+    }
+]
+```
+
+For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/datasets).
+
+### Apify API Clients
+
+#### JavaScript API client
+
+The [JavaScript API client](/api/client/js/reference/class/DatasetClient) (`apify-client`) enables you access to your datasets from any Node.js application, whether hosted on the Apify platform or externally.
+
+After importing and initiating the client, you can save each dataset to a variable for easier access.
+
+```js
+const myDatasetClient = apifyClient.dataset('jane-doe/my-dataset');
+```
+
+You can then use that variable to [access the dataset's items and manage it](/api/client/js/reference/class/DatasetClient).
+
+> When using the [`.listItems()`](/api/client/js/reference/class/DatasetClient#listItems) method, if you fill both `omit` and `field` parameters with the same value, then `omit` parameter will take precedence and the field is excluded from the results.
+
+Check out the [JavaScript API client documentation](/api/client/js/reference/class/DatasetClient) for [help with setup](/api/client/js/docs) and more details.
+
+#### Python API client
+
+The [Python API client](/api/client/python/reference/class/DatasetClient) (`apify-client`) enables you access to your datasets from any Python application, whether it is running on the Apify platform or externally.
+
+After importing and initiating the client, you can save each dataset to a variable for easier access.
+
+```python
+my_dataset_client = apify_client.dataset('jane-doe/my-dataset')
+```
+
+You can then use that variable to [access the dataset's items and manage it](/api/client/python/reference/class/DatasetClient).
+
+> When using the [`.list_items()`](/api/client/python/reference/class/DatasetClient#list_items) method, if you fill both `omit` and `field` parameters with the same value, then `omit` parameter will take precedence and the field is excluded from the results.
+
+Check out the [Python API client documentation](/api/client/python/reference/class/DatasetClient) for [help with setup](/api/client/python/docs/quick-start) and more details.
+
+### Apify SDKs
+
+#### JavaScript SDK
+
+When working with a JavaScript [Actor](../actors/index.mdx), the [JavaScript SDK](/sdk/js/docs/guides/result-storage#dataset) is an essential tool, especially for dataset management. It simplifies the tasks of storing and retrieving data, seamlessly integrating with the Actor's workflow. Key features of the SDK include the ability to append data, retrieve what is stored, and manage dataset properties effectively. Central to this functionality is the [`Dataset`](/sdk/js/reference/class/Dataset) class. This class allows you to determine where your data is stored - locally or in the Apify cloud. To add data to your chosen datasets, use the [`pushData()`](/sdk/js/reference/class/Dataset#pushData) method.
+
+Additionally the SDK offers other methods like [`getData()`](/sdk/js/reference/class/Dataset#getData), [`map()`](/sdk/js/reference/class/Dataset#map), and [`reduce()`](/sdk/js/reference/class/Dataset#reduce). For practical applications of these methods, refer to the [example](/sdk/js/docs/examples/map-and-reduce) section.
+
+If you have chosen to store your dataset locally, you can find it in the location below.
+
+```text
+{APIFY_LOCAL_STORAGE_DIR}/datasets/{DATASET_ID}/{INDEX}.json
+```
+
+`DATASET_ID` refers to the dataset's _name_ or _ID_. The default dataset will be stored in the _default_ directory.
+
+To add data to the default dataset, you can use the example below:
+
+```js
+// Import the JavaScript SDK into your project
+import { Actor } from 'apify';
+
+await Actor.init();
+// ...
+
+// Add one item to the default dataset
+await Actor.pushData({ foo: 'bar' });
+
+// Add multiple items to the default dataset
+await Actor.pushData([{ foo: 'hotel' }, { foo: 'cafe' }]);
+
+// ...
+await Actor.exit();
+```
+
+> It's crucial to use the `await` keyword when calling `pushData()`, to ensure data storage completes before the Actor process terminates.
+
+If you want to use something other than the default dataset, e.g. a dataset that you share between Actors or between Actor runs, you can use the [`Actor.openDataset()`](/sdk/js/reference/class/Actor#openDataset) method.
+
+```js
+import { Actor } from 'apify';
+
+await Actor.init();
+// ...
+
+// Save a named dataset to a variable
+const dataset = await Actor.openDataset('some-name');
+
+// Add data to the named dataset
+await dataset.pushData({ foo: 'bar' });
+
+// ...
+await Actor.exit();
+```
+
+Utilize the `fields` option in the [`getData()`](/sdk/js/reference/class/Dataset#getData) method to specify which data fields to retrieve. This option accepts an array of fields names (string) to include in your results.
+
+```js
+import { Actor } from 'apify';
+
+await Actor.init();
+// ...
+
+const dataset = await Actor.openDataset();
+
+// Only get the 'hotel' and 'cafe' fields
+const hotelAndCafeData = await dataset.getData({
+    fields: ['hotel', 'cafe'],
+});
+
+// ...
+await Actor.exit();
+```
+
+Check out the [JavaScript SDK documentation](/sdk/js/docs/guides/result-storage#dataset) and the `Dataset` class's [API reference](/sdk/js/reference/class/Dataset) for details on managing datasets with the JavaScript SDK.
+
+#### Python SDK
+
+For Python [Actors](../actors/index.mdx), the [Python SDK](/sdk/python/docs/concepts/storages#working-with-datasets) is essential. The dataset is represented by a [`Dataset`](/sdk/python/reference/class/Dataset) class. You can use this class to specify whether your data is stored locally or in the Apify cloud and push data to the datasets of your choice using the [`push_data()`](/sdk/python/reference/class/Dataset#push_data) method. For further data manipulation you could also use other methods such as [`get_data()`](/sdk/python/reference/class/Dataset#get_data), [`map()`](/sdk/python/reference/class/Dataset#map) and [`reduce()`](/sdk/python/reference/class/Dataset#reduce).
+
+For datasets stored locally, the data is located at the following path:
+
+```text
+{APIFY_LOCAL_STORAGE_DIR}/datasets/{DATASET_ID}/{INDEX}.json
+```
+
+The `DATASET_ID` refers to the dataset's _name_ or _ID_. The default dataset will be stored in the _default_ directory.
+
+To add data to the default dataset, you can use the example below:
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        # Add one item to the default dataset
+        await Actor.push_data({'foo': 'bar'})
+
+        # Add multiple items to the default dataset
+        await Actor.push_data([{'foo': 'hotel'}, {'foo': 'cafe'}])
+```
+
+If you want to use something other than the default dataset, e.g. a dataset that you share between Actors or between Actor runs, you can use the [`Actor.open_dataset()`](/sdk/python/reference/class/Actor#open_dataset) method.
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        # Save a named dataset to a variable
+        dataset = await Actor.open_dataset(name='some-name')
+
+        # Add data to the named dataset
+        await dataset.push_data({'foo': 'bar'})
+```
+
+Utilize the `fields` option in the [`get_data()`](/sdk/python/reference/class/Dataset#get_data) method to specify which data fields to retrieve. This option accepts an array of fields names (string) to include in your results.
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        dataset = await Actor.open_dataset()
+
+        # Only get the 'hotel' and 'cafe' fields
+        hotel_and_cafe_data = await dataset.get_data(fields=['hotel', 'cafe'])
+```
+
+For more information, visit our [Python SDK documentation](/sdk/python/docs/concepts/storages#working-with-datasets) and the `Dataset` class's [API reference](/sdk/python/reference/class/Dataset) for details on managing datasets with the Python SDK.
+
+## Hidden fields
+
+Fields in a dataset that begin with a `#` are treated as hidden. You can exclude these fields when downloading data by using either `skipHidden=1` or `clean=1` in your query parameters. This feature is useful for excluding debug information from the final dataset output.
+
+The following example demonstrates a dataset record with hiddent fields, including HTTP response and error details.
+
+```json
+{
+    "url": "https://example.com",
+    "title": "Example page",
+    "data": {
+        "foo": "bar"
+    },
+    "#error": null,
+    "#response": {
+        "statusCode": 201
+    }
+}
+```
+
+Data excluding hidden fields, termed as "clean" data, can be downloaded from the [Apify Console](https://console.apify.com/storage?tab=datasets) using the **Clean items** option. Alternatively, you can download it via API by applying `clean=true` or `clean=1` as [URL parameters](/api/v2#/reference/datasets/item-collection/get-items).
+
+## XML format extension
+
+In `XML` and `RSS` export formats, object property name are converted into XML tags, and their corresponding values are represented as children of these tags.
+
+For example, the JavaScript object:
+
+```json5
+{
+    name: 'Rashida Jones',
+    address: [
+        {
+            type: 'home',
+            street: '21st',
+            city: 'Chicago',
+        },
+        {
+            type: 'office',
+            street: null,
+            city: null,
+        },
+    ],
+}
+```
+
+becomes the following XML snippet:
+
+```xml
+<name>Rashida Jones</name>
+<address>
+    <type>home</type>
+    <street>21st</street>
+    <city>Chicago</city>
+</address>
+<address>
+    <type>office</type>
+    <street/>
+    <city/>
+</address>
+```
+
+In a JavaScript object, if a property is named `@`, its sub-properties are exported as attributes of the corresponding parent XML element. Additionally, when the parent XML element lacks child elements, its value is sourced from a property named `#` in the JavaScript Object.
+
+For example, the following JavaScript object:
+
+```json5
+{
+    address: [
+        {
+            '@': {
+                type: 'home',
+            },
+            street: '21st',
+            city: 'Chicago',
+        },
+        {
+            '@': {
+                type: 'office',
+            },
+            '#': 'unknown',
+        },
+    ],
+}
+```
+
+will be transformed to the following XML snippet:
+
+```xml
+<address type="home">
+    <street>21st</street>
+    <city>Chicago</city>
+</address>
+<address type="office">unknown</address>
+```
+
+This feature is also useful when customizing your RSS feeds generated for various websites.
+
+By default, the whole result is wrapped in an `<items/>` element, while each page object is contained in an `<item/>` element. You can change this using the `xmlRoot` and `xmlRow` URL parameters when retrieving your data with a GET request.
+
+## Sharing
+
+You can grant [access rights](../collaboration/index.md) to your dataset through the **Share** button under the **Actions** menu. For more details, check the [full list of permissions](../collaboration/list_of_permissions.md).
+
+### Sharing datasets between runs {#sharing-datasets-between-runs}
+
+You can access a dataset from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run as long as you know its _name_ or _ID_.
+
+To access a dataset from another run using the [Apify SDK](/sdk), open it using the same method as you would with any other dataset.
+
+<Tabs groupId="main">
+<TabItem value="JavaScript" label="JavaScript">
+
+```js
+import { Actor } from 'apify';
+
+await Actor.init();
+
+const otherDataset = await Actor.openDataset('old-dataset');
+// ...
+
+await Actor.exit();
+```
+
+</TabItem>
+<TabItem value="Python" label="Python">
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        other_dataset = await Actor.open_dataset(name='old-dataset')
+        # ...
+```
+
+</TabItem>
+</Tabs>
+
+In the [JavaScript API client](/api/client/js/reference/class/DatasetClient) as well as in [Python API client](/api/client/python/reference/class/DatasetClient) , you can access a dataset using its client. Once you've opened the dataset, you can read its contents and add new data in the same manner as you would for a dataset from your current run.
+
+<Tabs groupId="main">
+<TabItem value="JavaScript" label="JavaScript">
+
+```js
+const otherDatasetClient = apifyClient.dataset('jane-doe/old-dataset');
+```
+
+</TabItem>
+<TabItem value="Python" label="Python">
+
+```python
+other_dataset_client = apify_client.dataset('jane-doe/old-dataset')
+```
+
+</TabItem>
+</Tabs>
+
+The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
+
+See the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
+
+## Limits
+
+- Data storage formats that use tabulation (like HTML, CSV, and EXCEL) are limited to a maximum of _3000_ columns. Data exceeding this limit will not be retrieved.
+
+- The `pushData()`method is constrained by the receiving API's size limit. It accepts objects with JSON size under _9MB_. While individual objects within an array must not exceed _9MB_, the overall size has no restriction.
+
+- The maximum length for dataset names is 63 characters.
+
+### Rate limiting {#rate-limiting}
+
+The rate limit for pushing data to a dataset through the [API](/api/v2#/reference/datasets/item-collection/put-items) is capped at _200 requests per second_ for each dataset, a measure to prevent overloading Apify servers.
+
+For all other dataset [API endpoints](/api/v2#/reference/datasets) , the rate limit is _30 requests per second_ for each dataset.
+
+Check out the [API documentation](/api/v2#/introduction/rate-limiting) for more information and guidance on actions to take if you exceed these rate limits.
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diff --git a/sources/platform/storage/index.md b/sources/platform/storage/index.md
new file mode 100644
index 0000000000..f3a9b0c9c1
--- /dev/null
+++ b/sources/platform/storage/index.md
@@ -0,0 +1,37 @@
+---
+title: Storage
+description: Store anything from images and key-value pairs to structured output data. Learn how to access and manage your stored data from the Apify platform or via API.
+sidebar_position: 9
+category: platform
+slug: /storage
+---
+
+import Card from "@site/src/components/Card";
+import CardGrid from "@site/src/components/CardGrid";
+
+# Storage {#storage}
+
+**Store anything from images and key-value pairs to structured output data. Learn how to access and manage your stored data on the Apify Console or via the API.**
+
+---
+
+The Apify platform provides three types of storage accessible both within our [Apify Console](https://console.apify.com/storage) and externally through our [REST API](/api/v2#/) [Apify API Clients](/api) or [SDKs](/sdk).
+
+<CardGrid>
+    <Card
+        title="Dataset"
+        desc="Stores results from web scraping and data processing, with each Actor run getting a unique dataset. Features include table-like data visualization and multiple export formats like JSON and Excel."
+        to="/platform/storage/dataset"
+    />
+    <Card
+        title="Key-value store"
+        desc="Stores various data types like JSON, HTML, images, and strings. Accessible via Apify Console or API, it's ideal for diverse data storage needs.​"
+        to="/platform/storage/key-value-store"
+    />
+    <Card
+        title="Request queue"
+        desc="Manages URL processing for web crawling and other tasks. Supports different crawling orders and allows for querying and updating URLs, accessible via Apify Console or API​."
+        to="/platform/storage/request-queue"
+    />
+</CardGrid>
+
diff --git a/sources/platform/storage/key_value_store.md b/sources/platform/storage/key_value_store.md
new file mode 100644
index 0000000000..073296bfcf
--- /dev/null
+++ b/sources/platform/storage/key_value_store.md
@@ -0,0 +1,325 @@
+---
+title: Key-value store
+description: Store anything from Actor or task run results, JSON documents, or images. Learn how to access and manage key-value stores from Apify Console or via API.
+toc_max_heading_level: 4
+sidebar_position: 9.3
+slug: /storage/key-value-store
+---
+
+# Key-value store
+
+**Store anything from Actor or task run results, JSON documents, or images. Learn how to access and manage key-value stores from Apify Console or via API.**
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+---
+
+The key-value store is simple storage that can be used for storing any kind of data. It can be JSON or HTML documents, zip files, images, or strings. The data are stored along with their [MIME content type](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/MIME_types/Common_types).
+
+Each Actor run is assigned its own key-value store when it is created. The store contains the Actor's input, and, if necessary, other data such as its output.
+
+Key-value stores are mutable–you can both add entries and delete them.
+
+> Named key-value stores are retained indefinitely. <br/>
+> Unnamed key-value stores expire after 7 days unless otherwise specified.<br/> > [Learn more](./index.md#named-and-unnamed-storages)
+
+## Basic usage
+
+You can access key-value stores through several methods
+
+- [Apify Console](https://console.apify.com) - provides an easy-to-understand interface.
+- [Apify API](/api/v2#) - for accessing your key-value stores programmatically.
+- [Apify API clients](/api) - to access your key-value stores from any Node.js/Python application.
+- [Apify SDKs](/sdk) - when building your own JavaScript/Pyhton Actor.
+
+### Apify Console
+
+In [Apify Console](https://console.apify.com), you can view your key-value stores in the [Storage](https://console.apify.com/storage) section under the [Key-value stores](https://console.apify.com/storage?tab=keyValueStores) tab.
+
+![Key-value stores in app](./images/key-value-stores-app.png)
+
+To view a key-value store's content, click on its **Store ID**.
+Under the **Actions** menu, you can rename your store (and, in turn extend its [retention period](./usage#named-and-unnamed-storages)) and grant [access rights](../collaboration/index.md) using the **Share** button.
+Click on the **API** button to view and test a store's [API endpoints](/api/v2#/reference/key-value-stores).
+
+![Key-value stores detail](./images/key-value-stores-detail.png)
+
+### Apify API
+
+The [Apify API](/api/v2#/reference/key-value-stores) enables you programmatic access to your key-value stores using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods).
+
+If you are accessing your datasets using the `username~store-name` [store ID format](./index.md), you will need to use your secret API token. You can find the token (and your user ID) on the [Integrations](https://console.apify.com/account#/integrations) tab of **Settings** page of your Apify account.
+
+> When providing your API authentication token, we recommend using the request's `Authorization` header, rather than the URL. ([More info](../integrations/programming/api.md#authentication)).
+
+To retrieve a list of your key-value stores, send a GET request to the [Get list of key-value stores](/api/v2#/reference/key-value-stores/store-collection/get-list-of-key-value-stores) endpoint.
+
+```text
+https://api.apify.com/v2/key-value-stores
+```
+
+To get information about a key-value store such as its creation time and item count, send a GET request to the [Get store](/api/v2#/reference/key-value-stores/store-object/get-store) endpoint.
+
+```text
+https://api.apify.com/v2/key-value-stores/{STORE_ID}
+```
+
+To get a record (its value) from a key-value store, send a GET request to the [Get record](/api/v2#/reference/key-value-stores/key-collection/get-record) endpoint.
+
+```text
+https://api.apify.com/v2/key-value-stores/{STORE_ID}/records/{KEY_ID}
+```
+
+To add a record with a specific key in a key-value store, send a PUT request to the [Put record](/api/v2#/reference/key-value-stores/record/put-record) endpoint.
+
+```text
+https://api.apify.com/v2/key-value-stores/{STORE_ID}/records/{KEY_ID}
+```
+
+Example payload:
+
+```json
+{
+    "foo": "bar",
+    "fos": "baz"
+}
+```
+
+To delete a record, send a DELETE request specifying the key from a key-value store to the [Delete record](/api/v2#/reference/key-value-stores/record/delete-record) endpoint.
+
+```text
+https://api.apify.com/v2/key-value-stores/{STORE_ID}/records/{KEY_ID}
+```
+
+For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/key-value-stores).
+
+### Apify API Clients
+
+#### JavaScript API client
+
+The Apify [JavaScript API client](/api/client/js/reference/class/KeyValueStoreClient) (`apify-client`) enables you to access your key-value stores from any Node.js application, whether hosted on the Apify platform or externally.
+
+After importing and initiating the client, you can save each key-value store to a variable for easier access.
+
+```js
+const myKeyValStoreClient = apifyClient.keyValueStore(
+    'jane-doe/my-key-val-store',
+);
+```
+
+You can then use that variable to [access the key-value store's items and manage it](/api/client/js/reference/class/KeyValueStoreClient).
+
+Check out the [JavaScript API client documentation](/api/client/js/reference/class/KeyValueStoreClient) for [help with setup](/api/client/js/docs) and more details.
+
+#### Python API client
+
+The Apify [Python API client](/api/client/python/reference/class/KeyValueStoreClient) (`apify-client`) allows you to access your key-value stores from any Python application, whether it is running on the Apify platform or externally.
+
+After importing and initiating the client, you can save each key-value store to a variable for easier access.
+
+```python
+my_key_val_store_client = apify_client.key_value_store('jane-doe/my-key-val-store')
+```
+
+You can then use that variable to [access the key-value store's items and manage it](/api/client/python/reference/class/KeyValueStoreClient).
+
+Check out the [Python API client documentation](/api/client/python/reference/class/KeyValueStoreClient) for [help with setup](/api/client/python/docs/quick-start) and more details.
+
+### Apify SDKs
+
+#### JavaScript SDK
+
+When working with a Javascript [Actor](../actors/index.mdx), the [JavaScript SDK](/sdk/js/docs/guides/result-storage#key-value-store) is an essential tool, especially for key-value store management. The primary class for this purpose is the [`KeyValueStore`](/sdk/js/reference/class/KeyValueStore). This class allows you to decide whether your data will be stored locally or in the Apify cloud. For data manipulation, it offers the [`getValue()`](/sdk/js/reference/class/KeyValueStore#getValue) and [`setValue()`](/sdk/js/reference/class/KeyValueStore#setValue) methods to retrieve and assign values, respectively.
+
+Additionally, you can iterate over the keys in your store using the [`forEachKey()`](/sdk/js/reference/class/KeyValueStore#forEachKey) method.
+
+Every Actor run is linked to a default key-value store that is automatically created for that specific run. If you're running your Actors and opt to store data locally, you can easily supply the [input](../actors/running/input_and_output.md) by placing an _INPUT.json_ file in the corresponding directory of the default key-value store. This method ensures that you Actor has all the necessary data readily available for its execution.
+
+You can find _INPUT.json_ and other key-value store files in the location below.
+
+```text
+{APIFY_LOCAL_STORAGE_DIR}/key_value_stores/{STORE_ID}/{KEY}.{EXT}
+```
+
+The default key-value store's ID is _default_. The `{KEY}` is the record's _key_ and `{EXT}` corresponds to the record value's MIME content type.
+
+To manage your key-value stores, you can use the following methods. See the `KeyValueStore` class's [API reference](/sdk/js/reference/class/KeyValueStore) for the full list.
+
+```js
+import { Actor } from 'apify';
+
+await Actor.init();
+// ...
+
+// Get the default input
+const input = await Actor.getInput();
+
+// Open a named key-value store
+const exampleStore = await Actor.openKeyValueStore('my-store');
+
+// Read a record in the exampleStore storage
+const value = await exampleStore.getValue('some-key');
+
+// Write a record to exampleStore
+await exampleStore.setValue('some-key', { foo: 'bar' });
+
+// Delete a record from exampleStore
+await exampleStore.setValue('some-key', null);
+
+// ...
+await Actor.exit();
+```
+
+> Note that JSON is automatically parsed to a JavaScript object, text data returned as a string and other data is returned as binary buffer.
+
+```js
+import { Actor } from 'apify';
+
+await Actor.init();
+// ...
+
+// Get input of your Actor
+const input = await Actor.getInput();
+const value = await Actor.getValue('my-key');
+
+// ...
+await Actor.setValue('OUTPUT', imageBuffer, { contentType: 'image/jpeg' });
+
+// ...
+await Actor.exit();
+```
+
+The `Actor.getInput()` method is not only a shortcut to `Actor.getValue('INPUT')`; it is also compatible with [`Actor.metamorph()`](../actors/development/programming_interface/metamorph.md). This is because a metamorphed Actor run's input is stored in the _INPUT-METAMORPH-1_ key instead of _INPUT_, which hosts the original input.
+
+Check out the [JavaScript SDK documentation](/sdk/js/docs/guides/result-storage#key-value-store) and the `KeyValueStore` class's [API reference](/sdk/js/reference/class/KeyValueStore) for details on managing your key-value stores with the JavaScript SDK.
+
+#### Python SDK
+
+For Python [Actor](../actors/index.mdx), the [Python SDK](/sdk/python/docs/concepts/storages#working-with-key-value-stores) is essential. The key-value store is represented by a [`KeyValueStore`](/sdk/python/reference/class/KeyValueStore) class. You can use this class to specify whether your data is stored locally or in the Apify cloud. For further data manipulation it offers [`get_value()`](/sdk/python/reference/class/KeyValueStore#get_value) and [`set_value()`](/sdk/python/reference/class/KeyValueStore#set_value) methods to retrieve and assign values, respectively.
+
+Every Actor run is linked to a default key-value store that is automatically created for that specific run. If you're running your Actors and opt to store data locally, you can easily supply the [input](../actors/running/input_and_output.md) by placing an _INPUT.json_ file in the corresponding directory of the default key-value store. This method ensures that you Actor has all the necessary data readily available for its execution.
+
+You can find _INPUT.json_ and other key-value store files in the location below.
+
+```text
+{APIFY_LOCAL_STORAGE_DIR}/key_value_stores/{STORE_ID}/{KEY}.{EXT}
+```
+
+The default key-value store's ID is _default_. The \{KEY} is the record's _key_ and \{EXT} corresponds to the record value's MIME content type.
+
+To manage your key-value stores, you can use the following methods. See the `KeyValueStore` class [documentation](/sdk/python/reference/class/KeyValueStore) for the full list.
+
+```python
+from apify import Actor
+from apify.storages import KeyValueStore
+
+async def main():
+    async with Actor:
+        # Open a named key-value store
+        example_store: KeyValueStore = await Actor.open_key_value_store(name='my-store')
+
+        # Read a record in the example_store storage
+        value = await example_store.get_value('some-key')
+
+        # Write a record to example_store
+        await example_store.set_value('some-key', {'foo': 'bar'})
+
+        # Delete a record from example_store
+        await example_store.set_value('some-key', None)
+```
+
+> Note that JSON is automatically parsed to a Python dictionary, text data returned as a string and other data is returned as binary buffer.
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        value = await Actor.get_value('my-key')
+        # ...
+        image_buffer = ...  # Get image data
+        await Actor.set_value(key='OUTPUT', value=image_buffer, content_type='image/jpeg')
+```
+
+The `Actor.get_input()` method is not only a shortcut to `Actor.get_value('INPUT')`; it is also compatible with [`Actor.metamorph()`](../actors/development/programming_interface/metamorph.md). This is because a metamorphed Actor run's input is stored in the _INPUT-METAMORPH-1_ key instead of _INPUT_, which hosts the original input.
+
+Check out the [Python SDK documentation](/sdk/python/docs/concepts/storages#working-with-key-value-stores) and the `KeyValueStore` class's [API reference](/sdk/python/reference/class/KeyValueStore) for details on managing your key-value stores with the Python SDK.
+
+## Compression
+
+Previously, when using the [Put record](/api/v2#/reference/key-value-stores/record/put-record) endpoint, every record was automatically compressed with Gzip before being uploaded. However, this process has been updated. _Now, record are stored exactly as you upload them._ This change means that it is up to you whether the record is stored compressed or uncompressed.
+
+You can compress a record and use the [Content-Encoding request header](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Encoding) to let our platform know which compression it uses. We recommend compressing large key-value records to save storage space and network traffic.
+
+_Using the [JavaScript SDK](/sdk/js/reference/class/KeyValueStore#setValue) or our [JavaScript API client](/api/client/js/reference/class/KeyValueStoreClient#setRecord) automatically compresses your files._ We advise utilizing the JavaScript API client for data compression prior to server upload and decompression upon retrieval, minimizing storage costs.
+
+## Sharing
+
+You can grant [access rights](../collaboration/index.md) to your key-value store through the **Share** button under the **Actions** menu. For more details check the [full list of permissions](../collaboration/list_of_permissions.md).
+
+### Sharing key-value stores between runs
+
+You can access a key-value store from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run as long as you know its _name_ or _ID_.
+
+To access a key-value store from another run using the [Apify SDK](/sdk), open it using the same method as you would do with any other store.
+
+<Tabs groupId="main">
+<TabItem value="JavaScript" label="JavaScript">
+
+```js
+import { Actor } from 'apify';
+
+await Actor.init();
+
+const otherStore = await Actor.openKeyValueStore('old-store');
+// ...
+
+await Actor.exit();
+```
+
+</TabItem>
+<TabItem value="Python" label="Python">
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        other_store = await Actor.open_key_value_store(name='old-store')
+        # ...
+```
+
+</TabItem>
+</Tabs>
+
+In the [JavaScript API client](/api/client/js/reference/class/KeyValueStoreClient) as well as in [Python API client](/api/client/python/reference/class/KeyValueStoreClient), you can access a store using its client. Once you've opened a store, read and manage its contents like you would do with a key-value store from your current run.
+
+<Tabs groupId="main">
+<TabItem value="JavaScript" label="JavaScript">
+
+```js
+const otherStoreClient = apifyClient.keyValueStore('jane-doe/old-store');
+```
+
+</TabItem>
+<TabItem value="Python" label="Python">
+
+```python
+other_store_client = apify_client.key_value_store('jane-doe/old-store')
+```
+
+</TabItem>
+</Tabs>
+
+The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
+
+Check out the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
+
+## Data consistency
+
+Key-value storage uses the [AWS S3](https://aws.amazon.com/s3/) service. According to the [S3 documentation](https://aws.amazon.com/s3/consistency/), it provides _strong read-after-write_ consistency.
+
+## Limits
+
+- The maximum length for key of key-value store is 63 characters.
diff --git a/sources/platform/storage/request_queue.md b/sources/platform/storage/request_queue.md
new file mode 100644
index 0000000000..b99c3cf739
--- /dev/null
+++ b/sources/platform/storage/request_queue.md
@@ -0,0 +1,583 @@
+---
+title: Request queue
+description: Queue URLs for an Actor to visit in its run. Learn how to share your queues between Actor runs. Access and manage request queues from Apify Console or via API.
+toc_max_heading_level: 4
+sidebar_position: 9.4
+slug: /storage/request-queue
+---
+
+**Queue URLs for an Actor to visit in its run. Learn how to share your queues between Actor runs. Access and manage request queues from Apify Console or via API.**
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+---
+
+Request queues enable you to enqueue and retrieve requests such as URLs with an [HTTP method](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods) and other parameters. They prove essential not only in web crawling scenarios but also in any situation requiring the management of a large number of URLs and the addition of new links.
+
+The storage system for request queues accomoodates both breadth-first and depth-first crawling strategies, along with the inclusion of custom data attributes. This system enables you to check if certain URLs have already been encountered, add new URLs to the queue, and retrieve the next set of URLs for processing.
+
+> Named request queues are retained indefinitely. <br/>
+> Unnamed request queues expire after 7 days unless otherwise specified.<br/> > [Learn more](./index.md#named-and-unnamed-storages)
+
+## Basic usage
+
+You can access your request queues in several ways:
+
+- [Apify Console](https://console.apify.com) - provides an easy-to-understand interface.
+- [Apify API](/api/v2#) - for accessing your request queues programmatically.
+- [Apify API clients](/api) - to access your request queues from any Node.js application.
+- [Apify SDK](/sdk) - when building your own JavaScript Actor.
+
+### Apify Console
+
+In the [Apify Console](https://console.apify.com), you can view your request queues in the [Storage](https://console.apify.com/storage) section under the [Request queues](https://console.apify.com/storage?tab=requestQueues) tab.
+
+![Request queues in app](./images/request-queue-app.png)
+
+To view a request queue, click on its **Queue ID**.
+Under the **Actions** menu, you can rename your queue's name (and, in turn, its
+[retention period](./usage#named-and-unnamed-storages)) and [access rights](../collaboration/index.md) using the **Share** button.
+Click on the **API** button to view and test a queue's [API endpoints](/api/v2#/reference/request-queues).
+
+![Request queues detail](./images/request-queue-detail.png)
+
+### Apify API
+
+The [Apify API](/api/v2#/reference/request-queues) allows you programmatic access to your request queues using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods).
+
+If you are accessing your datasets using the `username~store-name` [store ID format](./index.md), you will need to use your secret API token. You can find the token (and your user ID) on the [Integrations](https://console.apify.com/account#/integrations) page of your Apify account.
+
+> When providing your API authentication token, we recommend using the request's `Authorization` header, rather than the URL. ([More info](../integrations/programming/api.md#authentication)).
+
+To get a list of your request queues, send a GET request to the [Get list of request queues](/api/v2#/reference/request-queues/store-collection/get-list-of-request-queues) endpoint.
+
+```text
+https://api.apify.com/v2/request-queues
+```
+
+To get information about a request queue such as its creation time and item count, send a GET request to the [Get request queue](/api/v2#/reference/request-queues/queue/get-request-queue) endpoint.
+
+```text
+https://api.apify.com/v2/request-queues/{QUEUE_ID}
+```
+
+To get a request from a queue, send a GET request to the [Get request](/api/v2#/reference/request-queues/request/get-request) endpoint.
+
+```text
+https://api.apify.com/v2/request-queues/{QUEUE_ID}/requests/{REQUEST_ID}
+```
+
+To add a request to a queue, send a POST request with the request to be added as a JSON object in the request's payload to the [Add request](/api/v2#/reference/request-queues/request-collection/add-request) endpoint.
+
+```text
+https://api.apify.com/v2/request-queues/{QUEUE_ID}/requests
+```
+
+Example payload:
+
+```json
+{
+    "uniqueKey": "http://example.com",
+    "url": "http://example.com",
+    "method": "GET"
+}
+```
+
+To update a request in a queue, send a PUT request with the request to update as a JSON object in the request's payload to the [Update request](/api/v2#/reference/request-queues/request/update-request) endpoint. In the payload, specify the request's ID and add the information you want to update.
+
+```text
+https://api.apify.com/v2/request-queues/{QUEUE_ID}/requests/{REQUEST_ID}
+```
+
+Example payload:
+
+```json
+{
+    "id": "dnjkDMKLmdlkmlkmld",
+    "uniqueKey": "http://example.com",
+    "url": "http://example.com",
+    "method": "GET"
+}
+```
+
+> When adding or updating requests, you can optionally provide a `clientKey` parameter to your request. It must be a string between 1 and 32 characters in length. This identifier is used to determine whether the queue was accessed by [multiple clients](#sharing). If `clientKey` is not provided, the system considers this API call to come from a new client. See the `hadMultipleClients` field returned by the [`Get head`](/api/v2#/reference/request-queues/queue-head/get-head) operation for details. <br/>
+>
+> Example: `client-abc`
+
+For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/key-value-stores).
+
+### Apify API Clients
+
+#### JavaScript API client
+
+The Apify [JavaScript API client](/api/client/js/reference/class/RequestQueueClient) (`apify-client`) enables you to access your request queues from any Node.js application, whether it is running on the Apify platform or externally.
+
+After importing and initiating the client, you can save each request queue to a variable for easier access.
+
+```js
+const myQueueClient = apifyClient.requestQueue('jane-doe/my-request-queue');
+```
+
+You can then use that variable to [access the request queue's items and manage it](/api/client/js/reference/class/RequestQueueClient).
+
+Check out the [JavaScript API client documentation](/api/client/js/reference/class/RequestQueueClient) for [help with setup](/api/client/js/docs) and more details.
+
+#### Python API client
+
+The Apify [Python API client](/api/client/python) (`apify-client`) allows you to access your request queues from any Python application, whether it's running on the Apify platform or externally.
+
+After importing and initiating the client, you can save each request queue to a variable for easier access.
+
+```python
+my_queue_client = apify_client.request_queue('jane-doe/my-request-queue')
+```
+
+You can then use that variable to [access the request queue's items and manage it](/api/client/python/reference/class/RequestQueueClient).
+
+Check out the [Python API client documentation](/api/client/python/reference/class/RequestQueueClient) for [help with setup](/api/client/python/docs/quick-start) and more details.
+
+### Apify SDKs
+
+#### JavaScript SDK
+
+When working with a JavaScript [Actor](../actors/index.mdx), the [JavaScript SDK](/sdk/js/docs/guides/request-storage#request-queue) is an essential tool, especially for request queue management. The primary class for this purpose is the [`RequestQueue`](/sdk/js/reference/class/RequestQueue) class. Use this class to decide whether your data is stored locally or in the Apify cloud.
+
+If you are building a JavaScript [Actor](../actors/index.mdx), you will be using the [JavaScript SDK](/sdk/js/docs/guides/request-storage#request-queue). The request queue is represented by a [`RequestQueue`](/sdk/js/reference/class/RequestQueue) class. You can use the class to specify whether your data is stored locally or in the Apify cloud and [enqueue new URLs](/sdk/js/reference/class/RequestQueue#addRequests).
+
+Every Actor run is automatically linked with a default request queue, initiated upon adding the first request. This queue is primarily utilized for storing URLs to be crawled during the particular Actor run, though its use is not mandatory. For enhanced flexibility, you can establish named queues. These named queues offer the advantage of being shareable across different Actors or various Actor runs, facilitating a more interconnected and efficient process.
+
+If you are storing your data locally, you can find your request queue at the following location.
+
+```text
+{APIFY_LOCAL_STORAGE_DIR}/request_queues/{QUEUE_ID}/{ID}.json
+```
+
+The default request queue's ID is _default_. Each request in the queue is stored as a separate JSON file, where `{ID}` is a request ID.
+
+To open a request queue, use the [`Actor.openRequestQueue()`](/sdk/js/reference/class/Actor#openRequestQueue) method.
+
+```js
+// Import the JavaScript SDK into your project
+import { Actor } from 'apify';
+
+await Actor.init();
+// ...
+
+// Open the default request queue associated with
+// the Actor run
+const queue = await Actor.openRequestQueue();
+
+// Open the 'my-queue' request queue
+const queueWithName = await Actor.openRequestQueue('my-queue');
+
+// ...
+await Actor.exit();
+```
+
+Once a queue is open, you can manage it using the following methods. Check out the `RequestQueue` class's [API reference](/sdk/js/reference/class/RequestQueue) for the full list.
+
+```js
+// Import the JavaScript SDK into your project
+import { Actor } from 'apify';
+
+await Actor.init();
+// ...
+
+const queue = await Actor.openRequestQueue();
+
+// Enqueue requests
+await queue.addRequests([{ url: 'http://example.com/aaa' }]);
+await queue.addRequests(['http://example.com/foo', 'http://example.com/bar'], {
+    forefront: true,
+});
+
+// Get the next request from queue
+const request1 = await queue.fetchNextRequest();
+const request2 = await queue.fetchNextRequest();
+
+// Get a specific request
+const specificRequest = await queue.getRequest('shi6Nh3bfs3');
+
+// Reclaim a failed request back to the queue
+// and process it again
+await queue.reclaimRequest(request2);
+
+// Remove a queue
+await queue.drop();
+
+// ...
+await Actor.exit();
+```
+
+Check out the [JavaScript SDK documentation](/sdk/js/docs/guides/request-storage#request-queue) and the `RequestQueue` class's [API reference](/sdk/js/reference/class/RequestQueue) for details on managing your request queues with the JavaScript SDK.
+
+#### Python SDK
+
+For Python [Actor](../actors/index.mdx) development, the [Python SDK](/sdk/python/docs/concepts/storages#working-with-request-queues) the in essential. The request queue is represented by [`RequestQueue`](/sdk/python/reference/class/RequestQueue) class. Utilize this class to determine whether your data is stored locally or in in the Apify cloud. For managing your data, it provides the capability to [enqueue new URLs](/sdk/python/reference/class/RequestQueue#add_requests), facilitating seamless integration and operation within your Actor.
+
+Every Actor run is automatically connected to a default request queue, established specifically for that run upon the addition of the first request. If you're operating your Actors and choose to utilize this queue, it typically serves to store URLs for crawling in the respective Actor run, though its use is not mandatory. To extend functionality, you have the option to create named queue, which offer the flexibility to be shared among different Actors or across multiple Actor runs.
+
+If you are storing your data locally, you can find your request queue at the following location.
+
+```text
+{APIFY_LOCAL_STORAGE_DIR}/request_queues/{QUEUE_ID}/{ID}.json
+```
+
+The default request queue's ID is _default_. Each request in the queue is stored as a separate JSON file, where `{ID}` is a request ID.
+
+To _open a request queue_, use the [`Actor.open_request_queue()`](/sdk/python/reference/class/Actor#open_request_queue) method.
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        # Open the default request queue associated with the Actor run
+        queue = await Actor.open_request_queue()
+
+        # Open the 'my-queue' request queue
+        queue_with_name = await Actor.open_request_queue(name='my-queue')
+
+        # ...
+```
+
+Once a queue is open, you can manage it using the following methods. See the `RequestQueue` class's [API reference](/sdk/python/reference/class/RequestQueue) for the full list.
+
+```python
+from apify import Actor
+from apify.storages import RequestQueue
+
+async def main():
+    async with Actor:
+        queue: RequestQueue = await Actor.open_request_queue()
+
+        # Enqueue requests
+        await queue.add_request(request={'url': 'http:#example.com/aaa'})
+        await queue.add_request(request={'url': 'http:#example.com/foo'})
+        await queue.add_request(request={'url': 'http:#example.com/bar'}, forefront=True)
+
+        # Get the next requests from queue
+        request1 = await queue.fetch_next_request()
+        request2 = await queue.fetch_next_request()
+
+        # Get a specific request
+        specific_request = await queue.get_request('shi6Nh3bfs3')
+
+        # Reclaim a failed request back to the queue and process it again
+        await queue.reclaim_request(request2)
+
+        # Remove a queue
+        await queue.drop()
+```
+
+Check out the [Python SDK documentation](/sdk/python/docs/concepts/storages#working-with-request-queues) and the `RequestQueue` class's [API reference](/sdk/python/reference/class/RequestQueue) for details on managing your request queues with the Python SDK.
+
+## Features
+
+Request queue is a storage type built with scraping in mind, enabling developers to write scraping logic efficiently and scalably.
+The Apify tooling, including [Crawlee](https://crawlee.dev/), [Apify SDK for JavaScript](https://docs.apify.com/sdk/js/), and [Apify SDK for Python](https://docs.apify.com/sdk/python/), incorporates all these features, enabling users to leverage them effortlessly without extra configuration.
+
+In the following section, we will discuss each of the main features in depth.
+
+### Persistence and retention
+
+Request queues prioritize persistence, ensuring indefinite retention of your requests in named request queues, and for the data retention period in your subscription in unnamed request queues.
+This capability facilitates incremental crawling, where you can append new URLs to the queue and resume from where you stopped in subsequent Actor runs.
+Consider the scenario of scraping an e-commerce website with thousands of products. Incremental scraping allows you to scrape only the products
+added since the last product discovery.
+
+In the following code example, we demonstrate how to use the Apify SDK and Crawlee to create an incremental crawler that saves the title of each new found page in Apify Docs to a dataset.
+By running this Actor multiple times, you can incrementally crawl the source website and save only pages added since the last crawl, as reusing a single request queue ensures that only URLs not yet visited are processed.
+
+```ts
+// Basic example of incremental crawling with Crawlee.
+import { Actor } from 'apify';
+import { CheerioCrawler, Dataset } from 'crawlee';
+
+interface Input {
+    startUrls: string[];
+    persistRquestQueueName: string;
+}
+
+await Actor.init();
+
+// Structure of input is defined in input_schema.json
+const {
+    startUrls = ['https://docs.apify.com/'],
+    persistRequestQueueName = 'persist-request-queue',
+} = (await Actor.getInput<Input>()) ?? ({} as Input);
+
+// Open or create request queue for incremental scrape.
+// By opening same request queue, the crawler will continue where it left off and skips already visited URLs.
+const requestQueue = await Actor.openRequestQueue(persistRequestQueueName);
+
+const proxyConfiguration = await Actor.createProxyConfiguration();
+
+const crawler = new CheerioCrawler({
+    proxyConfiguration,
+    requestQueue, // Pass incremental request queue to the crawler.
+    requestHandler: async ({ enqueueLinks, request, $, log }) => {
+        log.info('enqueueing new URLs');
+        await enqueueLinks();
+
+        // Extract title from the page.
+        const title = $('title').text();
+        log.info(`New page with ${title}`, { url: request.loadedUrl });
+
+        // Save the URL and title of the loaded page to the output dataset.
+        await Dataset.pushData({ url: request.loadedUrl, title });
+    },
+});
+
+await crawler.run(startUrls);
+
+await Actor.exit();
+```
+
+### Batch operations
+
+Request queues support batch operations on requests to enqueue or retrieve multiple requests in bulk, to cut down on network latency and enable easier parallel processing of requests.
+You can find the batch operations in the [Apify API](https://docs.apify.com/api/v2#/reference/request-queues/batch-request-operations), as well in the Apify API client for [JavaScript](https://docs.apify.com/api/client/js/reference/class/RequestQueueClient#batchAddRequests) and [Python](https://docs.apify.com/api/client/python/reference/class/RequestQueueClient#batch_add_requests).
+
+<Tabs groupId="main">
+<TabItem value="JavaScript" label="JavaScript">
+
+```js
+const { ApifyClient } = require('apify-client');
+
+const client = new ApifyClient({
+    token: 'MY-APIFY-TOKEN',
+});
+
+const requestQueueClient = client.requestQueue('my-queue-id');
+
+// Add multiple requests to the queue
+await requestQueueClient.batchAddRequests([
+    {
+        url: 'http://example.com/foo',
+        uniqueKey: 'http://example.com/foo',
+        method: 'GET',
+    },
+    {
+        url: 'http://example.com/bar',
+        uniqueKey: 'http://example.com/bar',
+        method: 'GET',
+    },
+]);
+
+// Remove multiple requests from the queue
+await requestQueueClient.batchDeleteRequests([
+    { uniqueKey: 'http://example.com/foo' },
+    { uniqueKey: 'http://example.com/bar' },
+]);
+```
+
+</TabItem>
+<TabItem value="Python" label="Python">
+
+```python
+from apify_client import ApifyClient
+
+apify_client = ApifyClient('MY-APIFY-TOKEN')
+
+request_queue_client = apify_client.request_queue('my-queue-id')
+
+# Add multiple requests to the queue
+request_queue_client.batch_add_requests([
+    {'url': 'http://example.com/foo', 'uniqueKey': 'http://example.com/foo', 'method': 'GET'},
+    {'url': 'http://example.com/bar', 'uniqueKey': 'http://example.com/bar', 'method': 'GET'},
+])
+
+# Remove multiple requests from the queue
+request_queue_client.batch_delete_requests([
+    {'uniqueKey': 'http://example.com/foo'},
+    {'uniqueKey': 'http://example.com/bar'},
+])
+```
+
+</TabItem>
+</Tabs>
+
+### Distributivity
+
+Request queue includes a locking mechanism to avoid concurrent processing of one request by multiple clients (for example Actor runs).
+You can lock a request so that no other clients receive it when they fetch the queue head, with an expiration period on the lock so that requests which fail processing are eventually unlocked and retried.
+
+This feature is seamlessly integrated into Crawlee, requiring minimal extra setup. By default, requests are locked for the same duration as the timeout for processing requests in the crawler ([`requestHandlerTimeoutSecs`](https://crawlee.dev/api/next/basic-crawler/interface/BasicCrawlerOptions#requestHandlerTimeoutSecs)).
+If the Actor processing the request fails, the lock expires, and the request is processed again eventually. For more details, refer to the [Crawlee documentation](https://crawlee.dev/docs/next/experiments/experiments-request-locking).
+
+In the following example, we demonstrate how we can use locking mechanisms to avoid concurrent processing of the same request.
+
+```js
+import { Actor, ApifyClient } from 'apify';
+
+await Actor.init();
+
+const client = new ApifyClient({
+    token: 'MY-APIFY-TOKEN',
+});
+
+// Creates a new request queue.
+const requestQueue = await client.requestQueues().getOrCreate('example-queue');
+
+// Creates two clients with different keys for the same request queue.
+const requestQueueClientOne = client.requestQueue(requestQueue.id, {
+    clientKey: 'requestqueueone',
+});
+const requestQueueClientTwo = client.requestQueue(requestQueue.id, {
+    clientKey: 'requestqueuetwo',
+});
+
+// Adds multiple requests to the queue.
+await requestQueueClientOne.batchAddRequests([
+    {
+        url: 'http://example.com/foo',
+        uniqueKey: 'http://example.com/foo',
+        method: 'GET',
+    },
+    {
+        url: 'http://example.com/bar',
+        uniqueKey: 'http://example.com/bar',
+        method: 'GET',
+    },
+    {
+        url: 'http://example.com/baz',
+        uniqueKey: 'http://example.com/baz',
+        method: 'GET',
+    },
+    {
+        url: 'http://example.com/qux',
+        uniqueKey: 'http://example.com/qux',
+        method: 'GET',
+    },
+]);
+
+// Locks the first two requests at the head of the queue.
+const processingRequestsClientOne = await requestQueueClientOne.listAndLockHead(
+    {
+        limit: 2,
+        lockSecs: 60,
+    },
+);
+
+// Other clients cannot list and lock these requests; the listAndLockHead call returns other requests from the queue.
+const processingRequestsClientTwo = await requestQueueClientTwo.listAndLockHead(
+    {
+        limit: 2,
+        lockSecs: 60,
+    },
+);
+
+// Checks when the lock will expire. The locked request will have a lockExpiresAt attribute.
+const theFirstRequestLockedByClientOne = processingRequestsClientOne.items[0];
+const requestLockedByClientOne = await requestQueueClientOne.getRequest(
+    theFirstRequestLockedByClientOne.id,
+);
+console.log(`Request locked until ${requestLockedByClientOne?.lockExpiresAt}`);
+
+// Other clients cannot modify the lock; attempting to do so will throw an error.
+try {
+    await requestQueueClientTwo.prolongRequestLock(
+        theFirstRequestLockedByClientOne.id,
+        { lockSecs: 60 },
+    );
+} catch (err) {
+    // This will throw an error.
+}
+
+// Prolongs the lock of the first request or unlocks it.
+await requestQueueClientOne.prolongRequestLock(
+    theFirstRequestLockedByClientOne.id,
+    { lockSecs: 60 },
+);
+await requestQueueClientOne.deleteRequestLock(
+    theFirstRequestLockedByClientOne.id,
+);
+
+// Cleans up the queue.
+await requestQueueClientOne.delete();
+
+await Actor.exit();
+```
+
+A detailed tutorial on how to process one request queue with multiple Actor runs can be found in [Academy tutorials](https://docs.apify.com/academy/node-js/multiple-runs-scrape).
+
+## Sharing
+
+You can grant [access rights](../collaboration/index.md) to your request queue through the **Share** button under the **Actions** menu. For more details check the [full list of permissions](../collaboration/list_of_permissions.md).
+
+### Sharing request queues between runs {#sharing-request-queues-between-runs}
+
+You can access a request queue from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run as long as you know its _name_ or _ID_.
+
+To access a request queue from another run using the [Apify SDK](/sdk), open it using the same method like you would do with any other request queue.
+
+<Tabs groupId="main">
+<TabItem value="JavaScript" label="JavaScript">
+
+```js
+import { Actor } from 'apify';
+
+await Actor.init();
+
+const otherQueue = await Actor.openRequestQueue('old-queue');
+// ...
+
+await Actor.exit();
+```
+
+</TabItem>
+<TabItem value="Python" label="Python">
+
+```python
+from apify import Actor
+
+async def main():
+    async with Actor:
+        other_queue = await Actor.open_request_queue(name='old-queue')
+        # ...
+```
+
+</TabItem>
+</Tabs>
+
+In the [JavaScript API client](/api/client/js/reference/class/RequestQueueClient) as well as in [Python API client](/api/client/python/reference/class/RequestQueueClient), you can access a request queue using its respective client. Once you've opened the request queue, you can use it in your crawler or add new requests like you would do with a queue from your current run.
+
+<Tabs groupId="main">
+<TabItem value="JavaScript" label="JavaScript">
+
+```js
+const otherQueueClient = apifyClient.requestQueue('jane-doe/old-queue');
+```
+
+</TabItem>
+<TabItem value="Python" label="Python">
+
+```python
+other_queue_client = apify_client.request_queue('jane-doe/old-queue')
+```
+
+</TabItem>
+</Tabs>
+
+The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
+
+Check out the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
+
+## Limits
+
+- The maximum length for request queue name is 63 characters.
+
+### Rate limiting {#rate-limiting}
+
+When managing request queues via [API](/api/v2#/reference/request-queues/put-items),
+CRUD ([add](/api/v2#/reference/request-queues/request-collection/add-request),
+[get](/api/v2#/reference/request-queues/request-collection/get-request),
+[update](/api/v2#/reference/request-queues/request-collection/update-request),
+[delete](/api/v2#/reference/request-queues/request-collection/delete-request))
+operation requests are limited to _200 requests per second_ per request queue. This helps protect Apify servers from being overloaded.
+
+All other request queue API [endpoints](/api/v2#/reference/request-queues) are limited to _30 requests per second_ per request queue.
+
+Check out the [API documentation](/api/v2#/introduction/rate-limiting) for more information and guidance on actions to take if you exceed these rate limits.
diff --git a/sources/platform/storage/usage.md b/sources/platform/storage/usage.md
new file mode 100644
index 0000000000..49312633ab
--- /dev/null
+++ b/sources/platform/storage/usage.md
@@ -0,0 +1,181 @@
+---
+title: Usage
+description: Learn how to effectively use Apify's storage options. Understand key aspects of data retention, rate limiting, and secure sharing.
+sidebar_position: 9.1
+category: platform
+slug: /storage/usage
+---
+
+**Learn how to effectively use Apify's storage options. Understand key aspects of data retention, rate limiting, and secure sharing.**
+
+---
+
+## Dataset {#dataset}
+
+[Dataset](./dataset.md) storage allows you to store a series of data objects, such as results from web scraping, crawling, or data processing jobs. You can export your datasets in JSON, CSV, XML, RSS, Excel, or HTML formats.
+
+![Dataset graphic](../images/datasets-overview.png)
+
+## Key-value store {#key-value-store}
+
+The [key-value store](./key_value_store.md) is ideal for saving data records such as files, screenshots of web pages, and PDFs or for persisting your Actor's state. The records are accessible under a unique name and can be written and read quickly.
+
+![Key-value store graphic](../images/key-value-overview.svg)
+
+
+## Request queue {#request-queue}
+
+[Request queues](./request_queue.md) allow you to dynamically maintain a queue of URLs of web pages. You can use this when recursively crawling websites: you start from initial URLs and add new links as they are found while skipping duplicates.
+
+![Request queue graphic](../images/request-queue-overview.svg)
+
+## Basic usage {#basic-usage}
+
+You can access your storage in several ways:
+
+* [Apify Console](https://console.apify.com/storage) - provides an easy-to-use interface.
+* [Apify API](/api/v2#/reference/key-value-stores) - to access your storages programmatically.
+* [API clients](/api) - to access your storages from any Node.js/Python application.
+* [Apify SDKs](/sdk) - when building your own JavaScript/Python Actor.
+
+### Apify Console {#apify-console}
+
+To access your storages via Apify Console, navigate to the [**Storage**](https://console.apify.com/storage) section in the left-side menu. From there, you can click through the tabs to view your key-value stores, datasets, and request queues, and you can click on the **API** button in the top right corner to view related API endpoints. To view a storage, click its **ID**.
+
+![Storages in app](./images/datasets-app.png)
+
+> Use the **Include unnamed storages** checkbox to either display or hide unnamed storages. By default Apify Console will display them.
+
+You can edit your store's name by clicking on the **Actions** menu and selecting **Rename**.
+
+Additionally, you can quickly share the contents and details of your storage by selecting **Share** under the **Actions** menu and providing either email, username or user ID.
+
+![Storage API](./images/overview-api.png)
+
+<!-- vale Microsoft.Dashes = NO -->
+These URLs link to API _endpoints_—the places where your data is stored. Endpoints that allow you to _read_ stored information do not require an [authentication token](/api/v2#/introduction/authentication). Calls are authenticated using a hard-to-guess ID, allowing for secure sharing. However, operations such as _update_ or _delete_ require the authentication token.
+<!-- vale Microsoft.Dashes = YES -->
+
+> Never share a URL containing your authentication token, to avoid compromising your account's security. <br/>
+> If the data you want to share requires a token, first download the data, then share it as a file.
+
+### Apify API {#apify-api}
+
+The [Apify API](/api/v2#/reference/key-value-stores) allows you to access your storages programmatically using [HTTP requests](https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods) and easily share your crawling results.
+
+In most cases, when accessing your storages via API, you will need to provide a `store ID`, which you can do in the following formats:
+
+* `WkzbQMuFYuamGv3YF` - the store's alphanumerical ID if the store is unnamed.
+* `~store-name` - the store's name prefixed with tilde (`~`) character if the store is named (e.g. `~ecommerce-scraping-results`)
+* `username~store-name` - username and the store's name separated by a tilde (`~`) character if the store is named and belongs to a different account (e.g. `janedoe~ecommerce-scraping-results`). Note that in this case, the store's owner needs to grant you access first.
+
+For read (GET) requests, it is enough to use a store's alphanumerical ID, since the ID is hard to guess and effectively serves as an authentication key.
+
+With other request types and when using the `username~store-name`, however, you will need to provide your secret API token in your request's [`Authorization`](/api/v2#/introduction/authentication) header or as a query parameter. You can find your token on the [Integrations](https://console.apify.com/account?tab=integrations) page of your Apify account.
+
+For further details and a breakdown of each storage API endpoint, refer to the [API documentation](/api/v2#/reference/datasets).
+
+### Apify API Clients
+
+The Apify API Clients allow you to access your datasets from any Node.js or Python application, whether it's running on the Apify platform or externally.
+
+You can visit [API Clients](/api) documentations for more information.
+
+### Apify SDKs
+
+The Apify SDKs are libraries in JavaScript or Python that proviede tools for building your own Actors.<br />
+
+* JavaScript SDK requires [Node.js](https://nodejs.org/en/) 16 or later.
+* Python SDK requires [Python](https://www.python.org/downloads/release/python-380/) 3.8 or above.
+
+## Rate limiting {#rate-limiting}
+
+All API endpoints limit their rate of requests to protect Apify servers from overloading. The default rate limit for storage objects is _30 requests per second_. However, there are exceptions limited to _200 requests per second_ per storage object, including:
+
+* [Push items](/api/v2#/reference/datasets/item-collection/put-items) to dataset.
+* CRUD ([add](/api/v2#/reference/request-queues/request-collection/add-request),
+[get](/api/v2#/reference/request-queues/request-collection/get-request),
+[update](/api/v2#/reference/request-queues/request-collection/update-request),
+[delete](/api/v2#/reference/request-queues/request-collection/delete-request))
+operations of _request queue_ requests.
+
+If a client exceeds this limit, the API endpoints responds with the HTTP status code `429 Too Many Requests` and the following body:
+
+```json
+{
+    "error": {
+        "type": "rate-limit-exceeded",
+        "message": "You have exceeded the rate limit of ... requests per second"
+    }
+}
+```
+
+Go to the [API documentation](/api/v2#/introduction/rate-limiting) for details and to learn what to do if you exceed the rate limit.
+
+## Data retention {#data-retention}
+
+Apify securely stores your ten most recent runs indefinitely, ensuring your records are always accessible. Unnamed datasets and runs beyond the latest ten will be automatically deleted after 7 days unless otherwise specified. Named datasets are retained indefinitely.
+
+### Preserving your storages {#preserving-storages}
+
+To ensure indefinite retention of your storages, assign them a name. This can be done via Apify Console or through our API. First, you'll need your store's ID. You can find it in the details of the run that created it. In Apify Console, head over to your run's details and select the **Dataset**, **Key-value store**, or **Request queue** tab as appropriate. Check that store's details, and you will find its ID among them.
+
+![Finding your store's ID](./images/find-store-id.png)
+
+Find and open your storage by clicking the ID, click on the **Actions** menu, choose **Rename**, and enter its new name in the field. Your storage will now be preserved indefinitely.
+
+To name your storage via API, get its ID from the run that generated it using the [Get run](/api/v2#/reference/actor-runs/run-object-and-its-storages/get-run) endpoint. You can then give it a new name using the `Update \[storage\]` endpoint. For example, [Update dataset](/api/v2#/reference/datasets/dataset/update-dataset).
+
+Our SDKs and clients each have unique naming conventions for storages. For more information check out documentation:
+
+* [SDKs](/sdk)
+* [API Clients](/api)
+
+## Named and unnamed storages {#named-and-unnamed-storages}
+
+The default storages for an Actor run are unnamed, identified only by an _ID_. This allows them to expire after 7 days (or longer on paid plans) conserving your storage space. If you want to preserve a storage, [assign it a name](#preserving-storages), and it will be retained indefinitely.
+
+> Storages' names can be up to 63 characters long.
+
+Named and unnamed storages are identical in all aspects except for their retention period. The key advantage of named storages is their ease in identifying and verifying the correct store.
+
+For example, storage names `janedoe~my-storage-1` and `janedoe~web-scrape-results` are easier to tell apart than the alphanumerical IDs `cAbcYOfuXemTPwnIB` and `CAbcsuZbp7JHzkw1B`.
+
+## Sharing {#sharing}
+
+You can grant [access rights](../collaboration/index.md) to others Apify users to view or modify your storages. Check the [full list of permissions](../collaboration/list_of_permissions.md).
+
+### Sharing storages between runs {#sharing-storages-between-runs}
+
+Storage can be accessed from any [Actor](../actors/index.mdx) or [task](../actors/running/tasks.md) run, provided you have its _name_ or _ID_. You can access and manage storages from other runs using the same methods or endpoints as with storages from your current run.
+
+[Datasets](./dataset.md) and [key-value stores](./key_value_store.md) support concurrent use by multiple Actors. Thus, several Actors or tasks can simultaneously write data to a single dataset or key-value store. Similarly, multiple runs can read data from datasets and key-value stores at the same time.
+
+[Request queues](./request_queue.md), on the other hand, only allow multiple runs to add new data. A request queue can only be processed by one Actor or task run at any one time.
+
+> When multiple runs try to write data to a storage simultaneously, the order of data writing cannot be controlled. Data is written as each request is processed. <br/>
+> Similar principle applies in key-value stores and request queues, when a delete request for a record precedes a read request for the same record, the read request will fail.
+
+## Deleting storages {#deleting-storages}
+
+Named storages are only removed upon your request.<br/>
+You can delete storages in the following ways:
+
+* [Apify Console](https://console.apify.com/storage) - using the **Actions** button in the store's detail page.
+* [JavaScript SDK](/sdk/js) - using the `.drop()` method of the
+  [Dataset](/sdk/js/api/apify/class/Dataset#drop),
+  [Key-value store](/sdk/js/api/apify/class/KeyValueStore#drop),
+  or [Request queue](/sdk/js/api/apify/class/RequestQueue#drop) class.
+* [Python SDK](/sdk/python) - using the `.drop()` method of the
+  [Dataset](/sdk/python/reference/class/Dataset#drop),
+  [Key-value store](/sdk/python/reference/class/KeyValueStore#drop),
+  or [Request queue](/sdk/python/reference/class/RequestQueue#drop) class.
+* [JavaScript API client](/api/client/js) - using the `.delete()` method in the
+[dataset](/api/client/js/reference/class/DatasetClient),
+[key-value store](/api/client/js/reference/class/KeyValueStoreClient),
+or [request queue](/api/client/js/reference/class/RequestQueueClient) clients.
+* [Python API client](/api/client/python) - using the `.delete()` method in the
+[dataset](/api/client/python#datasetclient),
+[key-value store](/api/client/python/reference/class/KeyValueStoreClient),
+or [request queue](/api/client/python/reference/class/RequestQueueClient) clients.
+* [API](/api/v2#/reference/key-value-stores/store-object/delete-store) using the - `Delete [store]` endpoint, where `[store]` is the type of storage you want to delete.

From 6ab9ec5e10b94a75b1bb531ad3811311c64938be Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Mon, 7 Oct 2024 15:35:43 +0200
Subject: [PATCH 4/9] test fix for api ref anchors

---
 .../tutorials/api/run_actor_and_retrieve_data_via_api.md        | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sources/academy/tutorials/api/run_actor_and_retrieve_data_via_api.md b/sources/academy/tutorials/api/run_actor_and_retrieve_data_via_api.md
index 319d90bda7..7433448f29 100644
--- a/sources/academy/tutorials/api/run_actor_and_retrieve_data_via_api.md
+++ b/sources/academy/tutorials/api/run_actor_and_retrieve_data_via_api.md
@@ -28,7 +28,7 @@ If the Actor being run via API takes 5 minutes or less to complete a typical run
 
 > If you are unsure about the differences between an Actor and a task, you can read about them in the [tasks](/platform/actors/running/tasks) documentation. In brief, tasks are just pre-configured inputs for Actors.
 
-The API endpoints and usage (for both sync and async) for [Actors](/api/v2#/reference/actors/run-collection/run-actor) and [tasks](/api/v2#/reference/actor-tasks/run-collection/run-task) are essentially the same.
+The API endpoints and usage (for both sync and async) for [Actors](/api/v2#tag/ActorsRun-collection/operation/act_runs_post) and [tasks](/api/v2#/reference/actor-tasks/run-collection/run-task) are essentially the same.
 
 To run, or **call**, an Actor/task, you will need a few things:
 

From 230b7c45ad6933a9948bc2e59114abf7b557c6e3 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Mon, 7 Oct 2024 16:26:53 +0200
Subject: [PATCH 5/9] change from throw to warn on broken anchors

---
 docusaurus.config.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docusaurus.config.js b/docusaurus.config.js
index c84dc08493..ece5431fb1 100644
--- a/docusaurus.config.js
+++ b/docusaurus.config.js
@@ -52,7 +52,7 @@ module.exports = {
     onBrokenMarkdownLinks:
     /** @type {import('@docusaurus/types').ReportingSeverity} */ ('throw'),
     onBrokenAnchors:
-    /** @type {import('@docusaurus/types').ReportingSeverity} */ ('throw'),
+    /** @type {import('@docusaurus/types').ReportingSeverity} */ ('warn'),
     themes: [
         [
             require.resolve('./apify-docs-theme'),

From 6885f63f80bd49d5f04fe88d617102d2b2c9fdd5 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Tue, 8 Oct 2024 00:50:12 +0200
Subject: [PATCH 6/9] fix broken anchor links

---
 .../deploying_your_code/input_schema.md       |  2 +-
 .../bypassing_anti_scraping.md                |  2 +-
 .../solutions/handling_migrations.md          |  2 +-
 .../tasks_and_storage.md                      |  2 +-
 .../getting_started/inputs_outputs.md         |  4 +-
 .../apify_scrapers/cheerio_scraper.md         | 36 ++++++------
 .../apify_scrapers/getting_started.md         | 56 +++++++++----------
 .../academy/tutorials/apify_scrapers/index.md |  6 +-
 .../apify_scrapers/puppeteer_scraper.md       | 38 ++++++-------
 .../tutorials/apify_scrapers/web_scraper.md   | 32 +++++------
 .../analyzing_pages_and_fixing_errors.md      |  2 +-
 .../filter_blocked_requests_using_sessions.md |  4 +-
 .../tutorials/php/using_apify_from_php.md     |  6 +-
 .../data_extraction/using_devtools.md         |  2 +-
 .../development/builds_and_runs/builds.md     |  8 +--
 .../development/builds_and_runs/index.md      |  2 +-
 .../builds_and_runs/state_persistence.md      | 14 ++---
 .../programming_interface/basic_commands.md   |  2 +-
 sources/platform/integrations/index.mdx       |  6 --
 .../workflows-and-notifications/make.md       |  2 +-
 sources/platform/proxy/datacenter_proxy.md    |  2 +-
 sources/platform/proxy/index.md               |  4 +-
 sources/platform/proxy/usage.md               |  4 +-
 sources/platform/storage/dataset.md           |  4 +-
 sources/platform/storage/index.md             |  2 +-
 sources/platform/storage/key_value_store.md   |  6 +-
 sources/platform/storage/request_queue.md     |  6 +-
 27 files changed, 125 insertions(+), 131 deletions(-)

diff --git a/sources/academy/platform/deploying_your_code/input_schema.md b/sources/academy/platform/deploying_your_code/input_schema.md
index fb0ba9b564..f107241d5c 100644
--- a/sources/academy/platform/deploying_your_code/input_schema.md
+++ b/sources/academy/platform/deploying_your_code/input_schema.md
@@ -53,7 +53,7 @@ Each property's key corresponds to the name we're expecting within our code, whi
 
 ## Property types & editor types {#property-types}
 
-Within our new **numbers** property, there are two more fields we must specify. Firstly, we must let the platform know that we're expecting an array of numbers with the **type** field. Then, we should also instruct Apify on which UI component to render for this input property. In our case, we have an array of numbers, which means we should use the **json** editor type that we discovered in the ["array" section](/platform/actors/development/actor-definition/input-schema#array) of the input schema documentation. We could also use **stringList**, but then we'd have to parse out the numbers from the strings.
+Within our new **numbers** property, there are two more fields we must specify. Firstly, we must let the platform know that we're expecting an array of numbers with the **type** field. Then, we should also instruct Apify on which UI component to render for this input property. In our case, we have an array of numbers, which means we should use the **json** editor type that we discovered in the ["array" section](/platform/actors/development/actor-definition/input-schema/specification/v1#array) of the input schema documentation. We could also use **stringList**, but then we'd have to parse out the numbers from the strings.
 
 ```json
 {
diff --git a/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md b/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
index 4e4fa6f226..ccc9c62f3e 100644
--- a/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
+++ b/sources/academy/platform/expert_scraping_with_apify/bypassing_anti_scraping.md
@@ -20,7 +20,7 @@ You might have already noticed that we've been using the **RESIDENTIAL** proxy g
 ## Learning 🧠 {#learning}
 
 - Skim [this page](https://apify.com/proxy) for a general idea of Apify Proxy.
-- Give the [proxy documentation](/platform/proxy#our-proxies) a solid readover (feel free to skip most of the examples).
+- Give the [proxy documentation](/platform/proxy) a solid readover (feel free to skip most of the examples).
 - Check out the [anti-scraping guide](../../webscraping/anti_scraping/index.md).
 - Gain a solid understanding of the [SessionPool](https://crawlee.dev/api/core/class/SessionPool).
 - Look at a few Actors on the [Apify store](https://apify.com/store). How are they utilizing proxies?
diff --git a/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md b/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
index 2cfba52a4d..87c5450f60 100644
--- a/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
+++ b/sources/academy/platform/expert_scraping_with_apify/solutions/handling_migrations.md
@@ -231,7 +231,7 @@ That's everything! Now, even if the Actor migrates (or is gracefully aborted and
 
 **A:** It's not best to use this option by default. If it fails, there must be a reason, which would need to be thought through first - meaning that the edge case of failing should be handled when resurrecting the Actor. The state should be persisted beforehand.
 
-**Q: Migrations happen randomly, but by [aborting gracefully](/platform/actors/running#aborting-runs), you can simulate a similar situation. Try this out on the platform and observe what happens. What changes occur, and what remains the same for the restarted Actor's run?**
+**Q: Migrations happen randomly, but by [aborting gracefully](/platform/actors/running/runs-and-builds#aborting-runs), you can simulate a similar situation. Try this out on the platform and observe what happens. What changes occur, and what remains the same for the restarted Actor's run?**
 
 **A:** After aborting or throwing an error mid-process, it manages to start back from where it was upon resurrection.
 
diff --git a/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md b/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
index 8d42fc6d18..16889c7085 100644
--- a/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
+++ b/sources/academy/platform/expert_scraping_with_apify/tasks_and_storage.md
@@ -24,7 +24,7 @@ Storage allows us to save persistent data for further processing. As you'll lear
 ## Learning 🧠 {#learning}
 
 - Check out [the docs about Actor tasks](/platform/actors/running/tasks).
-- Read about the [two main storage options](/platform/storage#dataset) on the Apify platform.
+- Read about the [two main storage options](/platform/storage/dataset) on the Apify platform.
 - Understand the [crucial differences between named and unnamed storages](/platform/storage/usage#named-and-unnamed-storages).
 - Learn about the [`Dataset`](/sdk/js/reference/class/Dataset) and [`KeyValueStore`](/sdk/js/reference/class/KeyValueStore) objects in the Apify SDK.
 
diff --git a/sources/academy/platform/getting_started/inputs_outputs.md b/sources/academy/platform/getting_started/inputs_outputs.md
index b7a95a8e66..e72140ba9c 100644
--- a/sources/academy/platform/getting_started/inputs_outputs.md
+++ b/sources/academy/platform/getting_started/inputs_outputs.md
@@ -65,7 +65,7 @@ Then, replace everything in **INPUT_SCHEMA.json**  with this:
 }
 ```
 
-> If you're interested in learning more about how the code works, and what the **INPUT_SCHEMA.json** means, read about [inputs](/sdk/js/docs/examples/accept-user-input) and [adding data to a dataset](/sdk/js/docs/examples/add-data-to-dataset) in the Apify SDK documentation, and refer to the [input schema docs](/platform/actors/development/actor-definition/input-schema#integer).
+> If you're interested in learning more about how the code works, and what the **INPUT_SCHEMA.json** means, read about [inputs](/sdk/js/docs/examples/accept-user-input) and [adding data to a dataset](/sdk/js/docs/examples/add-data-to-dataset) in the Apify SDK documentation, and refer to the [input schema docs](/platform/actors/development/actor-definition/input-schema/specification/v1#integer).
 
 Finally, **Save** and **Build** the Actor just as you did in the previous lesson.
 
@@ -89,7 +89,7 @@ On the results tab, there are a whole lot of options for which format to view/do
 
 There's our solution! Did it work for you as well? Now, we can download the data right from the results tab to be used elsewhere, or even programmatically retrieve it by using [Apify's API](/api/v2) (we'll be discussing how to do this in the next lesson).
 
-It's important to note that the default dataset of the Actor, which we pushed our solution to, will be retained for 7 days. If we wanted the data to be retained for an indefinite period of time, we'd have to use a named dataset. For more information about named storages vs unnamed storages, read a bit about [data retention on the Apify platform](/platform/storage#data-retention).
+It's important to note that the default dataset of the Actor, which we pushed our solution to, will be retained for 7 days. If we wanted the data to be retained for an indefinite period of time, we'd have to use a named dataset. For more information about named storages vs unnamed storages, read a bit about [data retention on the Apify platform](/platform/storage/usage#data-retention).
 
 ## Next up {#next}
 
diff --git a/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md b/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
index a1ae5c7c1a..7c836bcde5 100644
--- a/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/cheerio_scraper.md
@@ -17,7 +17,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## [](#getting-to-know-our-tools) Getting to know our tools
+## Getting to know our tools
 
 In the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started) tutorial, we've confirmed that the scraper works as expected,
 so now it's time to add more data to the results.
@@ -36,7 +36,7 @@ Now that's out of the way, let's open one of the Actor detail pages in the Store
 > If you're wondering why we're using Web Scraper as an example instead of Cheerio Scraper,
 it's only because we didn't want to triple the number of screenshots we needed to make. Lazy developers!
 
-## [](#building-our-page-function) Building our Page function
+## Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -52,7 +52,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### [](#title) Title
+### Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -79,7 +79,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#description) Description
+### Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -98,7 +98,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#modified-date) Modified date
+### Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -126,7 +126,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### [](#run-count) Run count
+### Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -165,7 +165,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### [](#wrapping-it-up) Wrapping it up
+### Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -243,13 +243,13 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#test-run) Test run
+### Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## [](#pagination) Pagination
+## Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -265,7 +265,7 @@ with Cheerio? We don't have a browser to do it and we only have the HTML of the
 answer is that we can't click a button. Does that mean that we cannot get the data at all? Usually not,
 but it requires some clever DevTools-Fu.
 
-### [](#analyzing-the-page) Analyzing the page
+### Analyzing the page
 
 While with Web Scraper and **Puppeteer Scraper** ([apify/puppeteer-scraper](https://apify.com/apify/puppeteer-scraper)), we could get away with simply clicking a button,
 with Cheerio Scraper we need to dig a little deeper into the page's architecture. For this, we will use
@@ -281,7 +281,7 @@ Then we click the **Show more** button and wait for incoming requests to appear
 Now, this is interesting. It seems that we've only received two images after clicking the button and no additional
 data. This means that the data about Actors must already be available in the page and the **Show more** button only displays it. This is good news.
 
-### [](#finding-the-actors) Finding the Actors
+### Finding the Actors
 
 Now that we know the information we seek is already in the page, we just need to find it. The first Actor in the store
 is Web Scraper, so let's try using the search tool in the **Elements** tab to find some reference to it. The first
@@ -310,7 +310,7 @@ so you might already be wondering, can I just make one request to the store to g
 and then parse it out and be done with it in a single request? Yes you can! And that's the power
 of clever page analysis.
 
-### [](#using-the-data-to-enqueue-all-actor-details) Using the data to enqueue all Actor details
+### Using the data to enqueue all Actor details
 
 We don't really need to go to all the Actor details now, but for the sake of practice, let's imagine we only found
 Actor names such as `cheerio-scraper` and their owners, such as `apify` in the data. We will use this information
@@ -343,7 +343,7 @@ how to route those requests.
 >If you're wondering how we know the structure of the URL, see the [Getting started
 with Apify Scrapers](./getting_started.md) tutorial again.
 
-### [](#plugging-it-into-the-page-function) Plugging it into the Page function
+### Plugging it into the Page function
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it.
@@ -412,13 +412,13 @@ to get all results with Cheerio only and other times it takes hours of research.
 the right scraper for your job. But don't get discouraged. Often times, the only thing you will ever need is to
 define a correct Pseudo URL. Do your research first before giving up on Cheerio Scraper.
 
-## [](#downloading-our-scraped-data) Downloading the scraped data
+## Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### [](#clean-items) Clean items
+### Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -428,7 +428,7 @@ Clean items, on the other hand, include only the data you returned from the `pag
 
 To control this, open the **Advanced options** view on the **Dataset** tab.
 
-## [](#bonus-making-your-code-neater) Bonus: Making your code neater
+## Bonus: Making your code neater
 
 You may have noticed that the `pageFunction` gets quite bulky. To make better sense of your code and have an easier
 time maintaining or extending your task, feel free to define other functions inside the `pageFunction`
@@ -496,11 +496,11 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## [](#final-word) Final word
+## Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## [](#whats-next) What's next
+## What's next
 
 * Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 * [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/apify_scrapers/getting_started.md b/sources/academy/tutorials/apify_scrapers/getting_started.md
index 140364c178..c11b45fdc2 100644
--- a/sources/academy/tutorials/apify_scrapers/getting_started.md
+++ b/sources/academy/tutorials/apify_scrapers/getting_started.md
@@ -13,7 +13,7 @@ slug: /apify-scrapers/getting-started
 
 Welcome to the getting started tutorial! It will walk you through creating your first scraping task step by step. You will learn how to set up all the different configuration options, code a **Page function** (`pageFunction`), and finally download the scraped data either as an Excel sheet or in another format, such as JSON or CSV. But first, let's give you a brief introduction to web scraping with Apify.
 
-## [](#what-is-an-apify-scraper) What is an Apify scraper
+## What is an Apify scraper
 
 It doesn't matter whether you arrived here from **Web Scraper** ([apify/web-scraper](https://apify.com/apify/web-scraper)), **Puppeteer Scraper** ([apify/puppeteer-scraper](https://apify.com/apify/puppeteer-scraper)) or **Cheerio Scraper** ([apify/cheerio-scraper](https://apify.com/apify/cheerio-scraper)).  All of them are **Actors** and for now, let's just think of an **Actor** as an application that you can use with your own configuration. **apify/web-scraper** is therefore an application called **web-scraper**, built by **apify**, that you can configure to scrape any webpage. We call these configurations **tasks**.
 
@@ -21,7 +21,7 @@ It doesn't matter whether you arrived here from **Web Scraper** ([apify/web-scra
 
 You can create 10 different **tasks** for 10 different websites, with very different options, but there will always be just one **Actor**, the `apify/*-scraper` you chose. This is the essence of tasks. They are nothing but **saved configurations** of the Actor that you can run easily and repeatedly.
 
-## [](#trying-it-out) Trying it out
+## Trying it out
 
 Depending on how you arrived at this tutorial, you may already have your first task created for the scraper of your choice. If not, the easiest way is to go to [Apify Store](https://console.apify.com/actors#/store/) and select the Actor you want to base your task on. Then, click the **Create a new task** button in the top-right corner.
 
@@ -29,7 +29,7 @@ Depending on how you arrived at this tutorial, you may already have your first t
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/actor-selection.webp)
 
-### [](#running-a-task) Running a task
+### Running a task
 
 This takes you to the **Input and options** tab of the task configuration. Before we delve into the details, let's just see how the example works. You can see that there are already some pre-configured input values. It says that the task should visit **https://apify.com** and all its subpages, such as **https://apify.com/contact** and scrape some data using the provided `pageFunction`, specifically the `<title>` of the page and its URL.
 
@@ -51,13 +51,13 @@ Now that the run has `SUCCEEDED`, click on the glowing **Results** card to see t
 
 Good job! We've run our first task and got some results. Let's learn how to change the default configuration to scrape something more interesting than just the page's `<title>`.
 
-## [](#creating-your-own-task) Creating your own task
+## Creating your own task
 
 Before we jump into the scraping itself, let's just have a quick look at the user interface that's available to us. Click on the task's name in the top-left corner to visit the task's configuration.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/task-name.webp)
 
-### [](#input) Input and options
+### Input and options
 
 The **Input** tab is where we started and it's the place where you create your scraping configuration. The Actor's creator prepares the **Input** form so that you can easily tell the Actor what to do. Feel free to check the tooltips of the various options to get a better idea of what they do. To display the tooltip, just click the question mark next to each input field's name.
 
@@ -67,33 +67,33 @@ Below the input fields are the Build, Timeout and Memory options. Let's keep the
 
 > Timeouts are there to prevent tasks from running forever. Always set a reasonable timeout to prevent a rogue task from eating up all your compute units.
 
-### [](#settings) Settings
+### Settings
 
 In the settings tab, you can set options that are common to all tasks and not directly related to the Actor's purpose. Unless you've already changed the task's name, it's set to **my-task**, so why not try changing it to **my-first-scraper** and clicking **Save**.
 
-### [](#runs) Runs
+### Runs
 
 You can find all the task runs and their detail pages here. Every time you start a task, it will appear here in the list. Apify securely stores your ten most recent runs indefinitely, ensuring your records are always accessible. All of your task's runs and their outcomes, beyond the latest ten, will be stored here for the data retention period, [which you can find under your plan](https://apify.com/pricing).
 
-### [](#webhooks) Webhooks
+### Webhooks
 
 Webhooks are a feature that help keep you aware of what's happening with your tasks. You can set them up to inform you when a task starts, finishes, fails etc., or you can even use them to run more tasks, depending on the outcome of the original one. [See webhooks documentation](/platform/integrations/webhooks).
 
-### [](#readme) Information
+### Information
 
 Since tasks are just configurations for Actors, this tab shows you all the information about the underlying Actor, the Apify scraper of your choice. You can see the available versions and their READMEs - it's always a good idea to read an Actor's README first before creating a task for it.
 
-### [](#api) API
+### API
 
 The API tab gives you a quick overview of all the available API calls in case you would like to use your task programmatically. It also includes links to detailed API documentation. You can even try it out immediately using the **Test endpoint** button.
 
 > Never share a URL containing the authentication token (`?token=...` parameter in the URLs), as this will compromise your account's security.
 
-## [](#scraping-theory) Scraping theory
+## Scraping theory
 
 Since this is a tutorial, we'll be scraping our own website. [Apify Store](https://apify.com/store) is a great candidate for some scraping practice. It's a page built on popular technologies, which displays a lot of different items in various categories, just like an online store, a typical scraping target, would.
 
-### [](#the-goal) The goal
+### The goal
 
 We want to create a scraper that scrapes all the Actors in the store and collects the following attributes for each Actor:
 
@@ -106,7 +106,7 @@ We want to create a scraper that scrapes all the Actors in the store and collect
 
 Some of this information may be scraped directly from the listing pages, but for the rest, we will need to visit the detail pages of all the Actors.
 
-### [](#the-start-url) The start URL
+### The start URL
 
 Let's start with something simple. In the **Input** tab of the task we have, we'll change the **Start URL** from **https://apify.com**. This will tell the scraper to start by opening a different URL. You can add more **Start URL**s or even [use a file with a list of thousands of them](#-crawling-the-website-with-pseudo-urls), but in this case, we'll be good with just one.
 
@@ -124,7 +124,7 @@ We also need to somehow distinguish the **Start URL** from all the other URLs th
 }
 ```
 
-### [](#filtering-with-a-link-selector) Filtering with a Link selector
+### Filtering with a Link selector
 
 The **Link selector**, together with **Pseudo URL**s, are your URL matching arsenal. The Link selector is a CSS selector and its purpose is to select the HTML elements where the scraper should look for URLs. And by looking for URLs, we mean finding the elements' `href` attributes. For example, to enqueue URLs from `<div class="my-class" href=...>` tags, we would enter `'div.my-class'`.
 
@@ -138,7 +138,7 @@ div.item > a
 
 Save it as your **Link selector**. If you're wondering how we figured this out, just follow along with the tutorial. By the time we finish, you'll know why we used this selector, too.
 
-### [](#crawling-the-website-with-pseudo-url) Crawling the website with pseudo URLs
+### Crawling the website with pseudo URLs
 
 What is a **Pseudo URL**? Let us explain. Before we can start scraping the Actor details, we need to find all the links to the details. If the links follow a set structure, we can use a certain pattern to describe this structure. And that's what a **Pseudo URL** is. A pattern that describes a URL structure. By setting a **Pseudo URL**, all links that follow the given structure will automatically be added to the crawling queue.
 
@@ -188,15 +188,15 @@ Let's use the above **Pseudo URL** in our task. We should also add a label as we
 }
 ```
 
-### [](#test-run) Test run
+### Test run
 
 Now that we've added some configuration, it's time to test it. Just run the task, keeping the **Max pages per run** set to `10` and the `pageFunction` as it is. You should see in the log that the scraper first visits the **Start URL** and then several of the Actor details matching the **Pseudo URL**.
 
-## [](#the-page-function) The page function
+## The page function
 
 The `pageFunction` is a JavaScript function that gets executed for each page the scraper visits. To figure out how to create it, you must first inspect the page's structure to get an idea of its inner workings. The best tools for that are a browser's inbuilt developer tools - DevTools.
 
-### [](#using-devtools) Using DevTools
+### Using DevTools
 
 Open [Apify Store](https://apify.com/store) in the Chrome browser (or use any other browser, just note that the DevTools may differ slightly) and open the DevTools, either by right-clicking on the page and selecting **Inspect** or by pressing **F12**.
 
@@ -208,11 +208,11 @@ You'll see that the Element tab jumps to the first `<title>` element of the curr
 
 > For the sake of brevity, we won't go into the details of using the DevTools in this tutorial. If you're just starting out with DevTools, this [Google tutorial](https://developers.google.com/web/tools/chrome-devtools/) is a good place to begin.
 
-### [](#understanding-context) Understanding `context`
+### Understanding `context`
 
 The `pageFunction` has access to global variables such as `window` and `document`, which are provided by the browser, as well as to `context`, which is the `pageFunction`'s single argument. `context` carries a lot of useful information and helpful functions, which are described in the Actor's README.
 
-### [](#new-page-function-boilerplate) New page function boilerplate
+### New page function boilerplate
 
 We know that we'll visit two kinds of pages, the list page (**Start URL**) and the detail pages (enqueued using the **Pseudo URL**). We want to enqueue links on the list page and scrape data on the detail page.
 
@@ -238,19 +238,19 @@ async function pageFunction(context) {
 
 This may seem like a lot of new information, but it's all connected to our earlier configuration.
 
-### [](#context-request) `context.request`
+### `context.request`
 
 The `request` is an instance of the [`Request`](https://sdk.apify.com/docs/api/request) class and holds information about the currently processed page, such as its `url`. Each `request` also has the `request.userData` property of type `Object`. While configuring the **Start URL** and the **Pseudo URL**, we gave them a `label`. We're now using them in the `pageFunction` to distinguish between the store page and the detail pages.
 
-### [](#context-skip-links) `context.skipLinks()`
+### `context.skipLinks()`
 
 When a **Pseudo URL** is set, the scraper attempts to enqueue matching links on each page it visits. `skipLinks()` is used to tell the scraper that we don't want this to happen on the current page.
 
-### [](#context-log) `context.log`
+### `context.log`
 
 `log` is used for printing messages to the console. You may be tempted to use `console.log()`, but this will not work unless you turn on the **Browser log** option. `log.info()` should be used for general messages, but you can also use `log.debug()` for messages that will only be shown when you turn on the **Debug log** option. [See the docs for more info](https://sdk.apify.com/docs/api/log).
 
-### [](#the-page-functions-return-value) The page function's return value
+### The page function's return value
 
 The `pageFunction` may only return nothing, `null`, `Object` or `Object[]`. If an `Object` is returned, it will be saved as a single result. Returning an `Array` of `Objects` will save each item in the array as a result.
 
@@ -272,7 +272,7 @@ will produce the following table:
 | ----- | --- |
 | Web Scraping, Data Extraction and Automation - Apify | https://apify.com |
 
-## [](#scraper-lifecycle) Scraper lifecycle
+## Scraper lifecycle
 
 Now that we're familiar with all the pieces in the puzzle, we'll quickly take a look at the scraper lifecycle,
 or in other words, what the scraper actually does when it scrapes. It's quite straightforward.
@@ -288,7 +288,7 @@ The scraper:
 
 > When you're not using the request queue, the scraper just repeats steps 1 and 2. You would not use the request queue when you already know all the URLs you want to visit. For example, when you have a pre-existing list of a thousand URLs that you uploaded as a text file. Or when scraping just a single URL.
 
-## [](#scraping-practice) Scraping practice
+## Scraping practice
 
 We've covered all the concepts that we need to understand to successfully scrape the data in our goal,
 so let's get to it and start with something really simple. We will only output data that are already available
@@ -301,7 +301,7 @@ const { url } = request;
 const uniqueIdentifier = url.split('/').slice(-2).join('/');
 ```
 
-### [](#test-run-2) Test run 2
+### Test run 2
 
 We'll add our first data to the `pageFunction` and carry out a test run to see that everything works as expected.
 
@@ -333,7 +333,7 @@ async function pageFunction(context) {
 
 Now **Save & Run** the task and once it finishes, check the dataset by clicking on the **Results** card. Click **Preview** and you should see the URLs and unique identifiers scraped. Great job!
 
-## [](#choosing-sides) Choosing sides
+## Choosing sides
 
 Up until now, everything has been the same for all the Apify scrapers. Whether you're using Web Scraper,
 Puppeteer Scraper or Cheerio Scraper, what you've learned now will always be the same.
diff --git a/sources/academy/tutorials/apify_scrapers/index.md b/sources/academy/tutorials/apify_scrapers/index.md
index 9ad91b4d60..5ea7b78874 100644
--- a/sources/academy/tutorials/apify_scrapers/index.md
+++ b/sources/academy/tutorials/apify_scrapers/index.md
@@ -17,7 +17,7 @@ Don't let the number of options confuse you. Unless you're really sure you need
 
 [Visit the Scraper introduction tutorial to get started!](./getting_started.md)
 
-## [](#web-scraper)Web Scraper
+## Web Scraper
 
 Web Scraper is a ready-made solution for scraping the web using the Chrome browser. It takes away all the work necessary to set up a browser for crawling, controls the browser automatically and produces machine-readable results in several common formats.
 
@@ -25,7 +25,7 @@ Underneath, it uses the Puppeteer library to control the browser, but you don't
 
 [Visit the Web Scraper tutorial to get started!](./web_scraper.md)
 
-## [](#cheerio-scraper)Cheerio Scraper
+## Cheerio Scraper
 
 Cheerio Scraper is a ready-made solution for crawling the web using plain HTTP requests to retrieve HTML pages and then parsing and inspecting the HTML using the [cheerio](https://www.npmjs.com/package/cheerio) library. It's blazing fast.
 
@@ -35,7 +35,7 @@ Cheerio Scraper is ideal for scraping websites that do not rely on client-side J
 
 [Visit the Cheerio Scraper tutorial to get started!](./cheerio_scraper.md)
 
-## [](#puppeteer-scraper)Puppeteer Scraper
+## Puppeteer Scraper
 
 Puppeteer Scraper is the most powerful scraper tool in our arsenal (aside from developing your own Actors). It uses the Puppeteer library to programmatically control a headless Chrome browser, and it can make it do almost anything. If using Web Scraper does not cut it, Puppeteer Scraper is what you need.
 
diff --git a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
index bf41a38478..2657809317 100644
--- a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
@@ -17,7 +17,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## [](#getting-to-know-our-tools) Getting to know our tools
+## Getting to know our tools
 
 In the [Getting started with Apify scrapers](https://apify.com/docs/scraping/tutorial/introduction) tutorial, we've confirmed that the scraper works as expected,
 so now it's time to add more data to the results.
@@ -33,7 +33,7 @@ you'll need to visit its [documentation](https://pptr.dev/) and really dive deep
 it in a nice, manageable UI. It provides almost all of its features in a format that is much easier to grasp
 when first trying to scrape using Puppeteer.
 
-### [](#web-scraper-differences) Web Scraper differences
+### Web Scraper differences
 
 At first glance, it may seem like **Web Scraper** ([apify/web-scraper](https://apify.com/apify/web-scraper)) and Puppeteer Scraper are almost the same. Well, they are.
 In fact, Web Scraper uses Puppeteer underneath. The difference is the amount of control they give you.
@@ -52,7 +52,7 @@ Now that's out of the way, let's open one of the Actor detail pages in the Store
 > If you're wondering why we're using Web Scraper as an example instead of Puppeteer Scraper,
 it's only because we didn't want to triple the number of screenshots we needed to make. Lazy developers!
 
-## [](#building-our-page-function) Building our Page function
+## Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
@@ -68,7 +68,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### [](#title) Title
+### Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -104,7 +104,7 @@ function allows you to run a function in the browser, with the selected element
 Here we use it to extract the text content of a `h1` element that's in the page. The return value of the function
 is automatically passed back to the Node.js context, so we receive an actual `string` with the element's text.
 
-### [](#description) Description
+### Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -174,7 +174,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### [](#run-count) Run count
+### Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -224,7 +224,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### [](#wrapping-it-up) Wrapping it up
+### Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -346,13 +346,13 @@ all the functions to start at the same time and only wait for all of them to fin
 concurrency or parallelism. Unless the functions need to be executed in a specific order, it's often a good idea
 to run them concurrently to speed things up.
 
-### [](#test-run) Test run
+### Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## [](#pagination) Pagination
+## Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -362,7 +362,7 @@ one needs to click the **Show more** button at the very bottom of the list. This
 that take you to the next page. If you encounter those, just make a **Pseudo URL** for those links and they will
 be automatically enqueued to the request queue. Use a label to let the scraper know what kind of URL it's processing.
 
-### [](#waiting-for-dynamic-content) Waiting for dynamic content
+### Waiting for dynamic content
 
 Before we talk about paginating, we need to have a quick look at dynamic content. Since Apify Store is a JavaScript
 application (a popular approach), the button might not exist in the page when the scraper runs the `pageFunction`.
@@ -407,7 +407,7 @@ await page.waitFor('.bad-class', { timeout: 5000 });
 
 With those tools, you should be able to handle any dynamic content the website throws at you.
 
-### [](#how-to-paginate)  How to paginate
+### How to paginate
 
 With the theory out of the way, this should be pretty easy. The algorithm is a loop:
 
@@ -491,7 +491,7 @@ already loaded and we're just waiting for the page to re-render so waiting for `
 that the button is not there. We don't want to stall the scraper for `30` seconds just to make sure that there's
 no button.
 
-### [](#pagination-page-function) Plugging it into the Page function
+### Plugging it into the Page function
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it.
@@ -584,13 +584,13 @@ it's probably just some typo.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/plugging-it-into-the-pagefunction.webp)
 
-## [](#downloading-our-scraped-data) Downloading the scraped data
+## Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### [](#clean-items) Clean items
+### Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -600,7 +600,7 @@ Clean items, on the other hand, include only the data you returned from the `pag
 
 To control this, open the **Advanced options** view on the **Dataset** tab.
 
-## [](#bonus-making-your-code-neater) Bonus: Making your code neater
+## Bonus: Making your code neater
 
 You may have noticed that the `pageFunction` gets quite bulky. To make better sense of your code and have an easier
 time maintaining or extending your task, feel free to define other functions inside the `pageFunction`
@@ -700,13 +700,13 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## [](#bonus-2-using-jquery-with-puppeteer-scraper)  Bonus 2: Using jQuery with Puppeteer Scraper
+## Bonus 2: Using jQuery with Puppeteer Scraper
 
 If you're familiar with the [jQuery library](https://jquery.com/), you may have looked at the scraping code and thought
 that it's unnecessarily complicated. That's probably up to everyone to decide on their own, but the good news is,
 you can easily use jQuery with Puppeteer Scraper too.
 
-### [](#injecting-jquery) Injecting jQuery
+### Injecting jQuery
 
 To be able to use jQuery, we first need to introduce it to the browser. Fortunately, we have a helper function to
 do just that: [`Apify.utils.puppeteer.injectJQuery`](https://sdk.apify.com/docs/api/puppeteer#puppeteerinjectjquerypage)
@@ -819,11 +819,11 @@ async function pageFunction(context) {
 injecting it outside of the browser. We're using the [`page.evaluate()`](https://pptr.dev/#?product=Puppeteer&show=api-pageevaluatepagefunction-args)
 function to run the script in the context of the browser and the return value is passed back to Node.js. Keep this in mind.
 
-## [](#final-word) Final word
+## Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## [](#whats-next) What's next?
+## What's next
 
 - Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 - [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/apify_scrapers/web_scraper.md b/sources/academy/tutorials/apify_scrapers/web_scraper.md
index 2f712b12b4..f054f556b7 100644
--- a/sources/academy/tutorials/apify_scrapers/web_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/web_scraper.md
@@ -18,7 +18,7 @@ tutorial, great! You are ready to continue where we left off. If you haven't see
 check it out, it will help you learn about Apify and scraping in general and set you up for this tutorial,
 because this one builds on topics and code examples discussed there.
 
-## [](#getting-to-know-our-tools) Getting to know our tools
+## Getting to know our tools
 
 In the [Getting started with Apify scrapers](https://apify.com/docs/scraping/tutorial/introduction) tutorial,
 we've confirmed that the scraper works as expected, so now it's time to add more data to the results.
@@ -50,7 +50,7 @@ Before we start, let's do a quick recap of the data we chose to scrape:
 We've already scraped numbers 1 and 2 in the [Getting started with Apify scrapers](/academy/apify-scrapers/getting-started)
 tutorial, so let's get to the next one on the list: title.
 
-### [](#title) Title
+### Title
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/title.webp)
 
@@ -78,7 +78,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#description) Description
+### Description
 
 Getting the Actor's description is a little more involved, but still pretty straightforward. We can't just simply search for a `<p>` tag, because
 there's a lot of them in the page. We need to narrow our search down a little. Using the DevTools we find that the Actor description is nested within
@@ -98,7 +98,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#modified-date) Modified date
+### Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
@@ -127,7 +127,7 @@ But we would much rather see a readable date in our results, not a unix timestam
 constructor will not accept a `string`, so we cast the `string` to a `number` using the `Number()` function before actually calling `new Date()`.
 Phew!
 
-### [](#run-count) Run count
+### Run count
 
 And so we're finishing up with the `runCount`. There's no specific element like `<time>`, so we need to create
 a complex selector and then do a transformation on the result.
@@ -167,7 +167,7 @@ using a regular expression, but its type is still a `string`, so we finally conv
 >
 > This will give us a string (e.g. `'1234567'`) that can be converted via `Number` function.
 
-### [](#wrapping-it-up) Wrapping it up
+### Wrapping it up
 
 And there we have it! All the data we needed in a single object. For the sake of completeness, let's add
 the properties we parsed from the URL earlier and we're good to go.
@@ -244,13 +244,13 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#test-run) Test run
+### Test run
 
 As always, try hitting that **Save & Run** button and visit
 the **Dataset** preview of clean items. You should see a nice table of all the attributes correctly scraped.
 You nailed it!
 
-## [](#pagination) Pagination
+## Pagination
 
 Pagination is just a term that represents "going to the next page of results". You may have noticed that we did not
 actually scrape all the Actors, just the first page of results. That's because to load the rest of the Actors,
@@ -260,7 +260,7 @@ one needs to click the **Show more** button at the very bottom of the list. This
 that take you to the next page. If you encounter those, just make a **Pseudo URL** for those links and they will
 be automatically enqueued to the request queue. Use a label to let the scraper know what kind of URL it's processing.
 
-### [](#waiting-for-dynamic-content) Waiting for dynamic content
+### Waiting for dynamic content
 
 Before we talk about paginating, we need to have a quick look at dynamic content. Since Apify Store is a JavaScript
 application (a popular approach), the button might not exist in the page when the scraper runs the `pageFunction`.
@@ -302,7 +302,7 @@ await waitFor('.bad-class', { timeoutMillis: 5000 });
 
 With those tools, you should be able to handle any dynamic content the website throws at you.
 
-### [](#how-to-paginate) How to paginate
+### How to paginate
 
 With the theory out of the way, this should be pretty easy. The algorithm is a loop:
 
@@ -384,7 +384,7 @@ already loaded and we're just waiting for the page to re-render so waiting for `
 that the button is not there. We don't want to stall the scraper for `20` seconds just to make sure that there's
 no button.
 
-### [](#plugging-it-into-the-page-function) Plugging it into the pageFunction
+### Plugging it into the pageFunction
 
 We've got the general algorithm ready, so all that's left is to integrate it into our earlier `pageFunction`.
 Remember the `// Do some stuff later` comment? Let's replace it. And don't forget to destructure the `waitFor()`
@@ -459,13 +459,13 @@ it's probably just some typo.
 
 ![$1](https://raw.githubusercontent.com/apifytech/actor-scraper/master/docs/img/plugging-it-into-the-pagefunction.webp)
 
-## [](#downloading-our-scraped-data) Downloading the scraped data
+## Downloading the scraped data
 
 You already know the **Dataset** tab of the run console since this is where we've always previewed our data. Notice the row of data formats such as JSON, CSV, and Excel. Below it are options for viewing and downloading the data. Go ahead and try it.
 
 > If you prefer working with an API, you can find the example endpoint under the API tab: **Get dataset items**.
 
-### [](#clean-items) Clean items
+### Clean items
 
 You can view and download your data without modifications, or you can choose to only get **clean** items. Data that aren't cleaned include a record
 for each `pageFunction` invocation, even if you did not return any results. The record also includes hidden fields
@@ -475,7 +475,7 @@ Clean items, on the other hand, include only the data you returned from the `pag
 
 To control this, open the **Advanced options** view on the **Dataset** tab.
 
-## [](#bonus-making-your-code-neater) Bonus: Making your code neater
+## Bonus: Making your code neater
 
 You may have noticed that the `pageFunction` gets quite bulky. To make better sense of your code and have an easier
 time maintaining or extending your task, feel free to define other functions inside the `pageFunction`
@@ -551,11 +551,11 @@ async function pageFunction(context) {
 > If you're confused by the functions being declared below their executions, it's called hoisting and it's a feature
 of JavaScript. It helps you put what matters on top, if you so desire.
 
-## [](#final-word) Final word
+## Final word
 
 Thank you for reading this whole tutorial! Really! It's important to us that our users have the best information available to them so that they can use Apify easily and effectively. We're glad that you made it all the way here and congratulations on creating your first scraping task. We hope that you liked the tutorial and if there's anything you'd like to ask, [join us on Discord](https://discord.gg/jyEM2PRvMU)!
 
-## [](#whats-next) What's next?
+## What's next
 
 - Check out the [Apify SDK](https://sdk.apify.com/) and its [Getting started](https://sdk.apify.com/docs/guides/getting-started) tutorial if you'd like to try building your own Actors. It's a bit more complex and involved than writing a simple `pageFunction`, but it allows you to fine-tune all the details of your scraper to your liking.
 - [Take a deep dive into Actors](/platform/actors), from how they work to [publishing](/platform/actors/publishing) them in Apify Store, and even [making money](https://blog.apify.com/make-regular-passive-income-developing-web-automation-actors-b0392278d085/) on Actors.
diff --git a/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md b/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
index 6e42242171..9847ed3f68 100644
--- a/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
+++ b/sources/academy/tutorials/node_js/analyzing_pages_and_fixing_errors.md
@@ -127,7 +127,7 @@ Logging and snapshotting are great tools but once you reach a certain run size,
 
 ## With the Apify SDK {#with-the-apify-sdk}
 
-This example extends our snapshot solution above by creating a [named dataset](/platform/storage#named-and-unnamed-storages) (named datasets have infinite retention), where we will accumulate error reports. Those reports will explain what happened and will link to a saved snapshot, so we can do a quick visual check.
+This example extends our snapshot solution above by creating a [named dataset](/platform/storage/usage#named-and-unnamed-storages) (named datasets have infinite retention), where we will accumulate error reports. Those reports will explain what happened and will link to a saved snapshot, so we can do a quick visual check.
 
 ```js
 import { Actor } from 'apify';
diff --git a/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md b/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
index f107388cce..f12d3d3bbc 100644
--- a/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
+++ b/sources/academy/tutorials/node_js/filter_blocked_requests_using_sessions.md
@@ -21,13 +21,13 @@ You want to crawl a website with a proxy pool, but most of your proxies are bloc
 
 5. The proxies actually got banned before anyone used them to crawl the website because they use anti-bot protection that bans proxies across websites (e.g. Cloudflare).
 
-Nobody can make sure that a proxy will work infinitely. The only real solution to this problem is to use [residential proxies](/platform/proxy#residential-proxy), but they can sometimes be too costly.
+Nobody can make sure that a proxy will work infinitely. The only real solution to this problem is to use [residential proxies](/platform/proxy/residential-proxy), but they can sometimes be too costly.
 
 However, usually, at least some of our proxies work. To crawl successfully, it is therefore imperative to handle blocked requests properly. You first need to discover that you are blocked, which usually means that either your request returned status greater or equal to 400 (simply it didn't return the proper response) or that the page displayed a captcha. To ensure that this bad request is retried, you usually just throw an error and it gets automatically retried later (our [SDK](/sdk/js/) handles this for you). Check out [this article](https://help.apify.com/en/articles/2190650-how-to-handle-blocked-requests-in-puppeteercrawler) as inspiration for how to handle this situation with `PuppeteerCrawler`  class.
 
 ### Solution
 
-Now we are able to retry bad requests and eventually unless all of our proxies get banned, we should be able to successfully crawl what we want. The problem is that it takes too long and our log is full of errors. Fortunately, we can overcome this with [proxy sessions](/platform/proxy#datacenter-proxy--username-params) (look at the proxy and SDK documentation for how to use them in your Actors.)
+Now we are able to retry bad requests and eventually unless all of our proxies get banned, we should be able to successfully crawl what we want. The problem is that it takes too long and our log is full of errors. Fortunately, we can overcome this with [proxy sessions](/platform/proxy/datacenter-proxy#username-parameters) (look at the proxy and SDK documentation for how to use them in your Actors.)
 
 First we define `sessions`  object at the top of our code (in global scope) to hold the state of our working sessions.
 
diff --git a/sources/academy/tutorials/php/using_apify_from_php.md b/sources/academy/tutorials/php/using_apify_from_php.md
index 885354b3b1..5e274fdbce 100644
--- a/sources/academy/tutorials/php/using_apify_from_php.md
+++ b/sources/academy/tutorials/php/using_apify_from_php.md
@@ -84,7 +84,7 @@ echo \json_encode($data, JSON_PRETTY_PRINT);
 
 You should see information about the run, including its ID and the ID of its default [dataset](/platform/storage/dataset). Take note of these, we will need them later.
 
-## [](#getting-dataset) Getting the results from dataset
+## Getting the results from dataset
 
 Actors usually store their output in a default dataset. The [Actor runs endpoint](/api/v2#/reference/actor-runs) lets you get overall info about an Actor run's default dataset.
 
@@ -126,7 +126,7 @@ echo \json_encode($parsedResponse, JSON_PRETTY_PRINT);
 
 All the available parameters are described in [our API reference](/api/v2#/reference/datasets/item-collection/get-items) and work both for all datasets.
 
-## [](#getting-key-value-store) Getting the results from key-value stores
+## Getting the results from key-value stores
 
 Datasets are great for structured data, but are not suited for binary files like images or PDFs. In these cases, Actors store their output in [key-value stores](/platform/storage/key-value-store). One such Actor is the **HTML String To PDF** ([mhamas/html-string-to-pdf](https://apify.com/mhamas/html-string-to-pdf)) converter. Let's run it.
 
@@ -179,7 +179,7 @@ If you open the generated `hello-world.pdf` file, you should see... well, "Hello
 
 If the Actor stored the data in a key-value store other than the default, we can use the standalone endpoints, `key-value-stores/<STORE_ID>`, `key-value-stores/<STORE_ID>/keys`, and `key-value-stores/<STORE_ID>/records/<KEY>`. They behave the same way as the default endpoints. [See the full docs](https://docs.apify.com/api/v2#/reference/key-value-stores/store-object).
 
-## When are the data ready?
+## When are the data ready
 
 It takes some time for an Actor to generate its output. Some even have Actors that run for days! In the previous examples, we chose Actors whose runs only take a few seconds. This meant the runs had enough time to finish before we ran the code to retrieve their dataset or key-value store (so the Actor had time to produce some output). If we ran the code immediately after starting a longer-running Actor, the dataset would probably still be empty.
 
diff --git a/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md b/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
index 339bb9c18b..08c92dc6df 100644
--- a/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
+++ b/sources/academy/webscraping/scraping_basics_javascript/data_extraction/using_devtools.md
@@ -114,7 +114,7 @@ As you can see, we were able to extract information about the subwoofer, but the
 
 ### Finding child elements {#finding-child-elements}
 
-In the [Getting structured data from HTML](#getting-structured-data-from-html) section, we were browsing the elements in the **Elements** tab to find the element that contains all the data. We can use the same approach to find the individual data points as well.
+In the [Getting structured data from HTML](#getting-structured-data) section, we were browsing the elements in the **Elements** tab to find the element that contains all the data. We can use the same approach to find the individual data points as well.
 
 Start from the element that contains all data: `<div class="product-item...">` Then inspect all the elements nested within this element. You'll discover that:
 
diff --git a/sources/platform/actors/development/builds_and_runs/builds.md b/sources/platform/actors/development/builds_and_runs/builds.md
index 3dc22a34a8..d8c0c5e479 100644
--- a/sources/platform/actors/development/builds_and_runs/builds.md
+++ b/sources/platform/actors/development/builds_and_runs/builds.md
@@ -5,7 +5,7 @@ sidebar_position: 7
 slug: /actors/development/builds-and-runs/builds
 ---
 
-# [](#builds)Builds
+# Builds
 
 **Learn Apify's conventions for actor-build number and how to use a specific Actor version in a run. Understand an Actor's lifecycle and manage its cache.**
 
@@ -17,18 +17,18 @@ Each build is assigned a unique build number of the form **MAJOR\.MINOR\.BUILD**
 
 By default, the build has a timeout of 300 seconds and consumes 4096 MB (2048 MB on the free plan) of memory from the user's memory limit. See the [Resource limits](../../running/index.md) section for more details.
 
-## [](#versioning)Versioning
+## Versioning
 
 In order to enable active development, the Actor can have multiple versions of the source code and associated settings, such as the **Base image** and **Environment**. Each version is denoted by a version number of the form `MAJOR.MINOR`; the version numbers should adhere to the [Semantic Versioning](http://semver.org/) logic.
 
 For example, the Actor can have a production version **1.1**, a beta version **1.2** that contains new features but is still backward compatible, and a development version **2.0** that contains breaking changes.
 
-## [](#tags)Tags
+## Tags
 
 When running the Actor, the caller needs to specify which build should actually be used. To simplify this process, the builds can be associated with a tag such **latest** or **beta**, which can be used instead of the version number when running the Actor. The tags are unique - only one build can be associated with a specific tag.
 
 To set a tag for builds of a specific Actor version, set the **Build tag** property. Whenever a new build of the version is successfully finished, it is automatically assigned the tag. By default, the builds are set to the **latest** tag.
 
-## [](#cache)Cache
+## Cache
 
 By default, the build process pulls the latest copies of all necessary Docker images and builds each new layer of Docker images from scratch. To speed up the builds triggered via API, you can add **useCache=1** parameter. See the API reference for more details.
diff --git a/sources/platform/actors/development/builds_and_runs/index.md b/sources/platform/actors/development/builds_and_runs/index.md
index c9ebf72652..1c4cfb5a1c 100644
--- a/sources/platform/actors/development/builds_and_runs/index.md
+++ b/sources/platform/actors/development/builds_and_runs/index.md
@@ -36,7 +36,7 @@ flowchart LR
     AD -- "start Actor" --> Run
 ```
 
-## [](#lifecycle)Lifecycle
+## Lifecycle
 
 Actor builds and runs share their lifecycle. Each build and run starts with the initial status **READY** and goes through one or more transitional statuses to one of the terminal statuses.
 
diff --git a/sources/platform/actors/development/builds_and_runs/state_persistence.md b/sources/platform/actors/development/builds_and_runs/state_persistence.md
index 54baab5986..a57c98c335 100644
--- a/sources/platform/actors/development/builds_and_runs/state_persistence.md
+++ b/sources/platform/actors/development/builds_and_runs/state_persistence.md
@@ -4,7 +4,7 @@ description: Maintain a long-running Actor's state to prevent unexpected restart
 slug: /actors/development/builds-and-runs/state-persistence
 ---
 
-# [](#state-persistence)State persistence
+# State persistence
 
 **Maintain a long-running Actor's state to prevent unexpected restarts. See a code example on how to prevent a run in the case of a server shutdown.**
 
@@ -19,31 +19,31 @@ To avoid this, long-running Actors should save (persist) their state periodicall
 
 For short-running Actors, the chance of a restart and the cost of repeated runs are low, so restarts can be ignored.
 
-## [](#what-is-a-migration)What is a migration?
+## What is a migration?
 
 A migration is when a process running on a server has to stop and move to another. All in-progress processes on the current server are stopped. Unless you have saved your state, the Actor run will restart on the new server. For example, if a request in your [request queue](../../../storage/request_queue.md) has not been updated as **crawled** before the migration, it will be crawled again.
 
 **When a migration event occurs, you only have a few seconds to save your work.**
 
-## [](#why-do-migrations-happen)Why do migrations happen?
+## Why do migrations happen
 
 - To optimize server workloads.
 - When a server crashes (unlikely).
 - When we release new features and fix bugs.
 
-## [](#how-often-do-migrations-occur)How often do migrations occur?
+## How often do migrations occur
 
 Migrations have no specific interval at which they happen. They are caused by the [above events](#why-do-migrations-happen), so they can happen at any time.
 
-## [](#why-is-state-lost-during-migration)Why is state lost during migration?
+## Why is state lost during migration
 
 Unless instructed to save its output or state to a [storage](../../../storage/index.md), an Actor keeps them in the server's memory. When it switches servers, the run loses access to the previous server's memory. Even if data were saved on the server's disk, we would also lose access to that.
 
-## [](#how-to-persist-state)How to persist state
+## How to persist state
 
 The [Apify SDKs](/sdk) persist their state automatically. In JavaScript, this is done using the `migrating` and `persistState` events in the [PlatformEventManager](/sdk/js/api/apify/class/PlatformEventManager). The `persistState` event notifies SDK components to persist their state at regular intervals in case a migration happens. The `migrating` event is emitted just before a migration.
 
-### [](#code-examples)Code examples
+### Code examples
 
 To persist state manually, you can use the `Actor.on` method in the Apify SDK.
 
diff --git a/sources/platform/actors/development/programming_interface/basic_commands.md b/sources/platform/actors/development/programming_interface/basic_commands.md
index 3c6b8956cc..dcc89a7292 100644
--- a/sources/platform/actors/development/programming_interface/basic_commands.md
+++ b/sources/platform/actors/development/programming_interface/basic_commands.md
@@ -63,7 +63,7 @@ async def main():
 
 ## Get input
 
-Access the Actor's input object, which is stored as a JSON file in the Actor's default key-value store. The input is an object with properties. If the Actor defines the input schema, the input object is guaranteed to conform to it. For details, check out [Input and output](#input-and-output).
+Access the Actor's input object, which is stored as a JSON file in the Actor's default key-value store. The input is an object with properties. If the Actor defines the input schema, the input object is guaranteed to conform to it.
 
 <Tabs groupId="main">
 <TabItem value="JavaScript" label="JavaScript">
diff --git a/sources/platform/integrations/index.mdx b/sources/platform/integrations/index.mdx
index 987b384cd2..4672053033 100644
--- a/sources/platform/integrations/index.mdx
+++ b/sources/platform/integrations/index.mdx
@@ -77,12 +77,6 @@ Apify offers easy-to-set-up solutions for common scenarios, like uploading your
         imageUrlDarkTheme="/img/platform/integrations/github-white.svg"
         smallImage
     />
-    <Card
-        title="Git"
-        to="/platform/actors/development/actor-definition/source-code#git-repository"
-        imageUrl="/img/platform/integrations/git.svg"
-        smallImage
-    />
     {/* Only show Asana once we have the videos ready for it
     <Card
         title="Asana"
diff --git a/sources/platform/integrations/workflows-and-notifications/make.md b/sources/platform/integrations/workflows-and-notifications/make.md
index 5b99a4ef29..2d3b56b50e 100644
--- a/sources/platform/integrations/workflows-and-notifications/make.md
+++ b/sources/platform/integrations/workflows-and-notifications/make.md
@@ -12,7 +12,7 @@ slug: /integrations/make
 
 [Make](https://make.com/) *(formerly Integromat)* allows you to create scenarios where you can integrate various services (modules) to automate and centralize jobs. Apify has its own module you can use to run Apify Actors, get notified about run statuses, and receive Actor results directly in your Make scenario.
 
-## Connect Apify to Make
+## Connect Apify to Make {#connect-apify-to-make}
 
 To use the Apify integration on Make, you will need:
 
diff --git a/sources/platform/proxy/datacenter_proxy.md b/sources/platform/proxy/datacenter_proxy.md
index 7acbe7adf3..33727e9db8 100644
--- a/sources/platform/proxy/datacenter_proxy.md
+++ b/sources/platform/proxy/datacenter_proxy.md
@@ -177,7 +177,7 @@ await Actor.exit();
 </TabItem>
 </Tabs>
 
-## Session persistence {#session-persistence}
+## Session persistence
 
 When you use datacenter proxy with the `session` [parameter](./usage.md#sessions) set in the `username` [field](#username-parameters), a single IP is assigned to the `session ID` provided after you make the first request.
 
diff --git a/sources/platform/proxy/index.md b/sources/platform/proxy/index.md
index 8305179e84..bfede81346 100644
--- a/sources/platform/proxy/index.md
+++ b/sources/platform/proxy/index.md
@@ -11,7 +11,7 @@ import TabItem from '@theme/TabItem';
 import Card from "@site/src/components/Card";
 import CardGrid from "@site/src/components/CardGrid";
 
-# [](./proxy) Proxy
+# Proxy
 
 **Learn to anonymously access websites in scraping/automation jobs. Improve data outputs and efficiency of bots, and access websites from various geographies.**
 
@@ -19,7 +19,7 @@ import CardGrid from "@site/src/components/CardGrid";
 
 > [Apify Proxy](https://apify.com/proxy) allows you to change your IP address when web scraping to reduce the chance of being [blocked](/academy/anti-scraping/techniques) because of your geographical location.
 
-You can use proxies in your [Actors](../actors/index.mdx) or any other application that supports HTTP proxies. Apify Proxy monitors the health of your IP pool and intelligently [rotates addresses](#ip-address-rotation) to prevent IP address-based blocking.
+You can use proxies in your [Actors](../actors/index.mdx) or any other application that supports HTTP proxies. Apify Proxy monitors the health of your IP pool and intelligently rotates addresses to prevent IP address-based blocking.
 
 You can view your proxy settings and password on the [Proxy](https://console.apify.com/proxy) page in Apify Console. For pricing information, visit [apify.com/pricing](https://apify.com/pricing).
 
diff --git a/sources/platform/proxy/usage.md b/sources/platform/proxy/usage.md
index de97b49d39..51e784d9a8 100644
--- a/sources/platform/proxy/usage.md
+++ b/sources/platform/proxy/usage.md
@@ -143,13 +143,13 @@ Depending on whether you use a [browser](https://apify.com/apify/web-scraper) or
 * Browser—a different IP address is used for each browser.
 * HTTP request—a different IP address is used for each request.
 
-Use [sessions](#sessions) to control how you rotate and [persist](#session-persistence) IP addresses. See our guide [Anti-scraping techniques](/academy/anti-scraping/techniques) to learn more about IP address rotation and our findings on how blocking works.
+Use [sessions](#sessions) to control how you rotate IP addresses. See our guide [Anti-scraping techniques](/academy/anti-scraping/techniques) to learn more about IP address rotation and our findings on how blocking works.
 
 ## Sessions {#sessions}
 
 Sessions allow you to use the same IP address for multiple connections. In cases where you need to keep the same session (e.g. when you need to log in to a website), it is best to keep the same proxy and so the IP address. On the other hand by switching the IP address, you can avoid being blocked by the website.
 
-To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](./datacenter_proxy.md#multiple-requests-with-the-same-ip-address), pass that same session ID in the username field.
+To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](platform/proxy/datacenter-proxy#multiple-requests-with-the-same-ip-address), pass that same session ID in the username field.
 
 We recommend you to use [SessionPool](https://crawlee.dev/api/core/class/SessionPool) abstraction when managing sessions. The created session will then store information such as cookies and can be used to generate [browser fingerprints](/academy/anti-scraping/mitigation/generating-fingerprints). You can also assign custom user data such as authorization tokens and specific headers.
 
diff --git a/sources/platform/storage/dataset.md b/sources/platform/storage/dataset.md
index 53c255f765..9aa6e1ec4f 100644
--- a/sources/platform/storage/dataset.md
+++ b/sources/platform/storage/dataset.md
@@ -20,7 +20,7 @@ Dataset storage enables you to sequentially save and retrieve data. A unique dat
 Typically, datasets comprises results from web scraping, crawling, and data processing jobs. You can visualize this data in a table, where each object is forming a row and its attributes are represented as columns. You have the option to export data in various formats, including JSON, CSV, XML, Excel, HTML Table, RSS or JSONL.
 
 > Named datasets are retained indefinitely. <br/>
-> Unnamed datasets expire after 7 days unless otherwise specified. <br/> > [Learn more](usage.md#named-and-unnamed-storages)
+> Unnamed datasets expire after 7 days unless otherwise specified. <br/> > [Learn more](/platform/storage/usage#named-and-unnamed-storages)
 
 Dataset storage is _append-only_ - data can only be added and cannot be modified or deleted once stored.
 
@@ -440,7 +440,7 @@ other_dataset_client = apify_client.dataset('jane-doe/old-dataset')
 
 The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
 
-See the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
+See the [Storage overview](/platform/storage/usage#sharing-storages-between-runs) for details on sharing storages between runs.
 
 ## Limits
 
diff --git a/sources/platform/storage/index.md b/sources/platform/storage/index.md
index f3a9b0c9c1..226875ec79 100644
--- a/sources/platform/storage/index.md
+++ b/sources/platform/storage/index.md
@@ -15,7 +15,7 @@ import CardGrid from "@site/src/components/CardGrid";
 
 ---
 
-The Apify platform provides three types of storage accessible both within our [Apify Console](https://console.apify.com/storage) and externally through our [REST API](/api/v2#/) [Apify API Clients](/api) or [SDKs](/sdk).
+The Apify platform provides three types of storage accessible both within our [Apify Console](https://console.apify.com/storage) and externally through our [REST API](/api/v2) [Apify API Clients](/api) or [SDKs](/sdk).
 
 <CardGrid>
     <Card
diff --git a/sources/platform/storage/key_value_store.md b/sources/platform/storage/key_value_store.md
index 073296bfcf..f86f53cbb2 100644
--- a/sources/platform/storage/key_value_store.md
+++ b/sources/platform/storage/key_value_store.md
@@ -22,7 +22,7 @@ Each Actor run is assigned its own key-value store when it is created. The store
 Key-value stores are mutable–you can both add entries and delete them.
 
 > Named key-value stores are retained indefinitely. <br/>
-> Unnamed key-value stores expire after 7 days unless otherwise specified.<br/> > [Learn more](./index.md#named-and-unnamed-storages)
+> Unnamed key-value stores expire after 7 days unless otherwise specified.<br/> > [Learn more](/platform/storage/usage#named-and-unnamed-storages)
 
 ## Basic usage
 
@@ -40,7 +40,7 @@ In [Apify Console](https://console.apify.com), you can view your key-value store
 ![Key-value stores in app](./images/key-value-stores-app.png)
 
 To view a key-value store's content, click on its **Store ID**.
-Under the **Actions** menu, you can rename your store (and, in turn extend its [retention period](./usage#named-and-unnamed-storages)) and grant [access rights](../collaboration/index.md) using the **Share** button.
+Under the **Actions** menu, you can rename your store (and, in turn extend its [retention period](/platform/storage/usage#named-and-unnamed-storages)) and grant [access rights](../collaboration/index.md) using the **Share** button.
 Click on the **API** button to view and test a store's [API endpoints](/api/v2#/reference/key-value-stores).
 
 ![Key-value stores detail](./images/key-value-stores-detail.png)
@@ -314,7 +314,7 @@ other_store_client = apify_client.key_value_store('jane-doe/old-store')
 
 The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
 
-Check out the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
+Check out the [Storage overview](/platform/storage/usage#sharing-storages-between-runs) for details on sharing storages between runs.
 
 ## Data consistency
 
diff --git a/sources/platform/storage/request_queue.md b/sources/platform/storage/request_queue.md
index b99c3cf739..b0d57e9da1 100644
--- a/sources/platform/storage/request_queue.md
+++ b/sources/platform/storage/request_queue.md
@@ -18,7 +18,7 @@ Request queues enable you to enqueue and retrieve requests such as URLs with an
 The storage system for request queues accomoodates both breadth-first and depth-first crawling strategies, along with the inclusion of custom data attributes. This system enables you to check if certain URLs have already been encountered, add new URLs to the queue, and retrieve the next set of URLs for processing.
 
 > Named request queues are retained indefinitely. <br/>
-> Unnamed request queues expire after 7 days unless otherwise specified.<br/> > [Learn more](./index.md#named-and-unnamed-storages)
+> Unnamed request queues expire after 7 days unless otherwise specified.<br/> > [Learn more](/platform/storage/usage#named-and-unnamed-storages)
 
 ## Basic usage
 
@@ -37,7 +37,7 @@ In the [Apify Console](https://console.apify.com), you can view your request que
 
 To view a request queue, click on its **Queue ID**.
 Under the **Actions** menu, you can rename your queue's name (and, in turn, its
-[retention period](./usage#named-and-unnamed-storages)) and [access rights](../collaboration/index.md) using the **Share** button.
+[retention period](/platform/storage/usage#named-and-unnamed-storages)) and [access rights](../collaboration/index.md) using the **Share** button.
 Click on the **API** button to view and test a queue's [API endpoints](/api/v2#/reference/request-queues).
 
 ![Request queues detail](./images/request-queue-detail.png)
@@ -563,7 +563,7 @@ other_queue_client = apify_client.request_queue('jane-doe/old-queue')
 
 The same applies for the [Apify API](#apify-api) - you can use [the same endpoints](#apify-api) as you would normally do.
 
-Check out the [Storage overview](/platform/storage#sharing-storages-between-runs) for details on sharing storages between runs.
+Check out the [Storage overview](/platform/storage/usage#sharing-storages-between-runs) for details on sharing storages between runs.
 
 ## Limits
 

From 5aa35ca75ddbe0860d9de296f2a8722c54191410 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Tue, 8 Oct 2024 01:20:57 +0200
Subject: [PATCH 7/9] fix broken link

---
 sources/platform/proxy/usage.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sources/platform/proxy/usage.md b/sources/platform/proxy/usage.md
index 51e784d9a8..4701a63235 100644
--- a/sources/platform/proxy/usage.md
+++ b/sources/platform/proxy/usage.md
@@ -149,7 +149,7 @@ Use [sessions](#sessions) to control how you rotate IP addresses. See our guide
 
 Sessions allow you to use the same IP address for multiple connections. In cases where you need to keep the same session (e.g. when you need to log in to a website), it is best to keep the same proxy and so the IP address. On the other hand by switching the IP address, you can avoid being blocked by the website.
 
-To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](platform/proxy/datacenter-proxy#multiple-requests-with-the-same-ip-address), pass that same session ID in the username field.
+To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](platform/proxy/datacenter-proxy##connecting-to-datacenter-proxies), pass that same session ID in the username field.
 
 We recommend you to use [SessionPool](https://crawlee.dev/api/core/class/SessionPool) abstraction when managing sessions. The created session will then store information such as cookies and can be used to generate [browser fingerprints](/academy/anti-scraping/mitigation/generating-fingerprints). You can also assign custom user data such as authorization tokens and specific headers.
 

From f8dadcf5660a3867b38a9906a3578b06f635a770 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Tue, 8 Oct 2024 01:26:32 +0200
Subject: [PATCH 8/9] add missing / to the link

---
 sources/platform/proxy/usage.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/sources/platform/proxy/usage.md b/sources/platform/proxy/usage.md
index 4701a63235..d116c7f0b2 100644
--- a/sources/platform/proxy/usage.md
+++ b/sources/platform/proxy/usage.md
@@ -149,7 +149,7 @@ Use [sessions](#sessions) to control how you rotate IP addresses. See our guide
 
 Sessions allow you to use the same IP address for multiple connections. In cases where you need to keep the same session (e.g. when you need to log in to a website), it is best to keep the same proxy and so the IP address. On the other hand by switching the IP address, you can avoid being blocked by the website.
 
-To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](platform/proxy/datacenter-proxy##connecting-to-datacenter-proxies), pass that same session ID in the username field.
+To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](/platform/proxy/datacenter-proxy##connecting-to-datacenter-proxies), pass that same session ID in the username field.
 
 We recommend you to use [SessionPool](https://crawlee.dev/api/core/class/SessionPool) abstraction when managing sessions. The created session will then store information such as cookies and can be used to generate [browser fingerprints](/academy/anti-scraping/mitigation/generating-fingerprints). You can also assign custom user data such as authorization tokens and specific headers.
 

From 07038cc666b7742c3c40b7ce4a1d03e005d63e41 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Micha=C5=82=20Olender?=
 <92638966+TC-MO@users.noreply.github.com>
Date: Tue, 8 Oct 2024 10:01:56 +0200
Subject: [PATCH 9/9] fix remaining broken anchor links

---
 sources/academy/tutorials/apify_scrapers/getting_started.md   | 4 ++--
 sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md | 2 +-
 sources/academy/tutorials/apify_scrapers/web_scraper.md       | 2 +-
 sources/platform/proxy/usage.md                               | 2 +-
 sources/platform/storage/dataset.md                           | 2 +-
 5 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/sources/academy/tutorials/apify_scrapers/getting_started.md b/sources/academy/tutorials/apify_scrapers/getting_started.md
index 35dd8bf180..9b05130eba 100644
--- a/sources/academy/tutorials/apify_scrapers/getting_started.md
+++ b/sources/academy/tutorials/apify_scrapers/getting_started.md
@@ -39,7 +39,7 @@ Scroll down to the **Performance and limits** section and set the **Max pages pe
 
 Now click **Save & Run**! *(in the bottom-left part of your screen)*
 
-### [](#the-run-detail) The run detail
+### The run detail
 
 After clicking **Save & Run**, the window will change to the run detail. Here, you will see the run's log. If it seems that nothing is happening, don't worry, it takes a few seconds for the run to fully boot up. In under a minute, you should have the 10 pages scraped. You will know that the run successfully completed when the `RUNNING` card in top-left corner changes to `SUCCEEDED`.
 
@@ -108,7 +108,7 @@ Some of this information may be scraped directly from the listing pages, but for
 
 ### The start URL
 
-In the **Input** tab of the task we have, we'll change the **Start URL** from **https://apify.com**. This will tell the scraper to start by opening a different URL. You can add more **Start URL**s or even [use a file with a list of thousands of them](#-crawling-the-website-with-pseudo-urls), but in this case, we'll be good with just one.
+In the **Input** tab of the task we have, we'll change the **Start URL** from **https://apify.com**. This will tell the scraper to start by opening a different URL. You can add more **Start URL**s or even [use a file with a list of thousands of them](#crawling-the-website-with-pseudo-urls), but in this case, we'll be good with just one.
 
 How do we choose the new **Start URL**? The goal is to scrape all Actors in the store, which is available at [apify.com/store](https://apify.com/store), so we choose this URL as our **Start URL**.
 
diff --git a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
index 9ed49aa210..130713691a 100644
--- a/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/puppeteer_scraper.md
@@ -129,7 +129,7 @@ async function pageFunction(context) {
 }
 ```
 
-### [](#modified-date) Modified date
+### Modified date
 
 The DevTools tell us that the `modifiedDate` can be found in a `<time>` element.
 
diff --git a/sources/academy/tutorials/apify_scrapers/web_scraper.md b/sources/academy/tutorials/apify_scrapers/web_scraper.md
index ca58ad5c10..3b468e198f 100644
--- a/sources/academy/tutorials/apify_scrapers/web_scraper.md
+++ b/sources/academy/tutorials/apify_scrapers/web_scraper.md
@@ -34,7 +34,7 @@ This will add a `context.jQuery` function that you can use.
 Now that's out of the way, let's open one of the Actor detail pages in the Store, for example
 the [Web Scraper](https://apify.com/apify/web-scraper) page and use our DevTools-Fu to scrape some data.
 
-## [](#building-our-page-function) Building our Page function
+## Building our Page function
 
 Before we start, let's do a quick recap of the data we chose to scrape:
 
diff --git a/sources/platform/proxy/usage.md b/sources/platform/proxy/usage.md
index d116c7f0b2..d39304a07f 100644
--- a/sources/platform/proxy/usage.md
+++ b/sources/platform/proxy/usage.md
@@ -149,7 +149,7 @@ Use [sessions](#sessions) to control how you rotate IP addresses. See our guide
 
 Sessions allow you to use the same IP address for multiple connections. In cases where you need to keep the same session (e.g. when you need to log in to a website), it is best to keep the same proxy and so the IP address. On the other hand by switching the IP address, you can avoid being blocked by the website.
 
-To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](/platform/proxy/datacenter-proxy##connecting-to-datacenter-proxies), pass that same session ID in the username field.
+To set a new session, pass the `session` parameter in your [username](./usage.md#username-parameters) field when connecting to a proxy. This will serve as the session's ID and an IP address will be assigned to it. To [use that IP address in other requests](/platform/proxy/datacenter-proxy#connecting-to-datacenter-proxies), pass that same session ID in the username field.
 
 We recommend you to use [SessionPool](https://crawlee.dev/api/core/class/SessionPool) abstraction when managing sessions. The created session will then store information such as cookies and can be used to generate [browser fingerprints](/academy/anti-scraping/mitigation/generating-fingerprints). You can also assign custom user data such as authorization tokens and specific headers.
 
diff --git a/sources/platform/storage/dataset.md b/sources/platform/storage/dataset.md
index cc7edf6bb3..bf79cf44b7 100644
--- a/sources/platform/storage/dataset.md
+++ b/sources/platform/storage/dataset.md
@@ -45,7 +45,7 @@ To view or download a dataset:
 2. Select the format & configure other options if desired in **Export dataset** section.
 3. Click **Download**.
 
-Utilize the **Actions** menu to modify the dataset's name, which also affects its [retention period](./usage.md#data-retention-data-retention), and to adjust [access rights](../collaboration/index.md). The **API** button allows you to explore and test the dataset's [API endpoints](/api/v2#/reference/datasets).
+Utilize the **Actions** menu to modify the dataset's name, which also affects its [retention period](/platform/storage/usage#data-retention), and to adjust [access rights](../collaboration/index.md). The **API** button allows you to explore and test the dataset's [API endpoints](/api/v2#/reference/datasets).
 
 ![Datasets detail view](./images/datasets-detail.png)