docs: add Lindy integration guide

sources/platform/integrations/ai/agno.md

@@ -2,7 +2,7 @@
 title: Agno Integration
 sidebar_label: Agno
 description: Integrate Apify with Agno to power AI agents with web scraping, automation, and data insights.
-sidebar_position: 14
+sidebar_position: 17
 slug: /integrations/agno
 ---
 
@@ -26,7 +26,7 @@ This guide shows how to integrate Apify Actors with Agno to empower your AI agen
 
 ### Prerequisites
 
-- _Apify API token_: Obtain your API token from the [Apify console](https://console.apify.com/account/integrations).  
+- _Apify API token_: Obtain your API token from the [Apify console](https://console.apify.com/account/integrations).
 - _OpenAI API key_: Get your API key from the [OpenAI platform](https://platform.openai.com/account/api-keys).
 
 :::tip Alternative LLM providers
@@ -35,7 +35,7 @@ While our examples use OpenAI, Agno supports other LLM providers as well. You'll
 
 :::
 
-- _Python environment_: Ensure Python is installed (version 3.8+ recommended).  
+- _Python environment_: Ensure Python is installed (version 3.8+ recommended).
 - _Required packages_: Install the following dependencies in your terminal:
 
 ```bash

sources/platform/integrations/ai/aws_bedrock.md

@@ -2,7 +2,7 @@
 title: Amazon Bedrock integrations
 sidebar_label: Amazon Bedrock
 description: Learn how to integrate Apify with Amazon Bedrock Agents to provide web data for AI agents
-sidebar_position: 9
+sidebar_position: 11
 slug: /integrations/aws_bedrock
 ---
 

sources/platform/integrations/ai/flowise.md

@@ -2,7 +2,7 @@
 title: Flowise integration
 description: Learn how to integrate Apify with Flowise.
 sidebar_label: Flowise
-sidebar_position: 8
+sidebar_position: 9
 slug: /integrations/flowise
 ---
 
@@ -46,7 +46,7 @@ In the left menu, you need to find Apify Website Content Crawler under Document
 
 ![Flowise add Apify Crawler](../images/flowise-apify.png)
 
-Now you need to configure the crawler. You can find more information about the crawler [here](https://apify.com/apify/website-content-crawler).
+Now you need to configure the crawler. You can find more information about at [Website Content Crawler page](https://apify.com/apify/website-content-crawler).
 
 ![Flowise and Apify](../images/flowise.png)
 

sources/platform/integrations/ai/lindy.md

@@ -0,0 +1,80 @@
+---
+title: Lindy integration
+description: Learn how to integrate Apify with Lindy.
+sidebar_label: Lindy
+sidebar_position: 7
+slug: /integrations/lindy
+---
+
+**Learn how to integrate your Apify Actors with Lindy.**
+
+---
+
+[Lindy](https://www.lindy.ai/) is an AI-powered automation platform that lets you create intelligent workflows and automate complex tasks. By integrating Apify with Lindy, you can leverage Apify's web scraping capabilities within Lindy's AI-driven automation workflows to extract data, monitor websites, and trigger actions based on scraped information.
+
+## Prerequisites
+
+To use the Apify integration with Lindy, you need:
+
+- A Lindy account with access to premium actions (required for certain integrations or higher usage limits).
+
+## How to Run an Apify Actor from Lindy
+
+This section demonstrates how to integrate Apify's data extraction capabilities into Lindy's AI automation.
+
+1. Start a new Lindy workflow by clicking the **+ New Lindy** button.
+
+    ![Lindy dashboard with new Lindy button highlighted](images/lindy/lindy-new-button.png)
+
+    Select **Start from scratch** to build a custom workflow.
+
+    ![Lindy workflow creation options, with "Start from scratch" selected](images/lindy/lindy-scratch.png)
+
+
+1. Choose a trigger that will initiate your automation. For this demonstration, we will select **Chat with Lindy/Message received**. This allows you to trigger the Apify Actor simply by sending a message to Lindy.
+
+    ![Lindy workflow editor, showing trigger selection, with "Select Trigger" highlighted](images/lindy/lindy-trigger.png)
+    ![Lindy workflow editor, showing trigger selection, with "Chat with Lindy/Message received" chosen](images/lindy/lindy-received.png)
+
+
+1. After setting the trigger, select **Perform an Action**.
+
+    ![Lindy workflow editor, showing the option to "Perform an Action"](images/lindy/lindy-action.png)
+
+    In the action search box, search for "Apify" or navigate to the **Scrapers** category and choose **Run Actor**.
+
+    ![Lindy action search box with "Apify" typed, showing "Run Actor" option, or "Scrapers" category with "Run Actor" highlighted.](images/lindy/lindy-run-actor.png)
+
+1. Configure the Apify "Run Actor" Module. In the Apify "Run Actor" configuration, choose the Actor you want to execute. For example, select the **Instagram profile scraper**.
+
+    ![Apify "Run Actor" module configuration in Lindy, showing a dropdown or search for Actors, with "Instagram profile scraper" selected.](images/lindy/lindy-instagram-actor.png)
+
+:::tip Actor Availability
+
+You have access to thousands of Actors available on the [Apify Store](https://apify.com/store). Please note that Actors using the _rental pricing model_ are not available for use with this integration. For details on Actor pricing models, refer to our [Pricing Documentation](/platform/actors/publishing/monetize#rental-pricing-model).
+
+:::
+
+This establishes the fundamental workflow:<br />
+_Chatting with Lindy can now trigger the Apify Instagram Profile Scraper._
+
+### Extending Your Workflow
+
+Lindy offers different triggers (e.g., _email received_, _Slack message received_, etc.) and actions beyond running an Actor.
+
+After the Apify Actor run is initiated, you can define what happens next, depending on your needs:
+
+- **When Actor Run Starts:**
+  - You might want to send a notification.
+  - Log the start time.
+  - Run a pre-processing step.
+- **After Results Are Available:** Once the Apify Actor completes and its results are ready, you can:
+  - Retrieve the Actor's output data from its dataset.
+  - Pass the extracted data to Lindy's AI for summarization, analysis, content generation, or other AI-driven tasks.
+  - Route the data to other services (e.g., Google Sheets, databases, email notifications) using Lindy's action modules.
+
+## Available Actions in Lindy for Apify
+
+While Lindy's specific module names may evolve, the core Apify functionalities typically exposed are:
+
+- **Run Actor:** Initiates a specific Apify Actor and can optionally wait for its completion.

sources/platform/integrations/ai/llama.md

@@ -2,7 +2,7 @@
 title: LlamaIndex integration
 description: Learn how to integrate Apify with LlamaIndex in order to feed vector databases and LLMs with data crawled from the web.
 sidebar_label: Llamaindex
-sidebar_position: 7
+sidebar_position: 6
 slug: /integrations/llama
 ---
 

sources/platform/integrations/ai/mastra.md

@@ -2,7 +2,7 @@
 title: Mastra MCP integration
 sidebar_label: Mastra
 description: Learn how to build AI Agents with Mastra via Apify Actors MCP server
-sidebar_position: 8
+sidebar_position: 10
 slug: /integrations/mastra
 ---
 

sources/platform/integrations/ai/milvus.md

@@ -2,7 +2,7 @@
 title: Milvus integration
 description: Learn how to integrate Apify with Milvus (Zilliz) to save data scraped from the websites into the Milvus vector database.
 sidebar_label: Milvus
-sidebar_position: 11
+sidebar_position: 13
 slug: /integrations/milvus
 toc_min_heading_level: 2
 toc_max_heading_level: 4

sources/platform/integrations/ai/openai_assistants.md

@@ -2,7 +2,7 @@
 title: OpenAI Assistants integration
 sidebar_label: OpenAI Assistants
 description: Learn how to integrate Apify with OpenAI Assistants to provide real-time search data and to save them into OpenAI Vector Store
-sidebar_position: 10
+sidebar_position: 12
 slug: /integrations/openai-assistants
 ---
 

sources/platform/integrations/ai/pinecone.md

@@ -2,7 +2,7 @@
 title: Pinecone integration
 description: Learn how to integrate Apify with Pinecone to feed data crawled from the web into the Pinecone vector database.
 sidebar_label: Pinecone
-sidebar_position: 12
+sidebar_position: 14
 slug: /integrations/pinecone
 toc_min_heading_level: 2
 toc_max_heading_level: 4

sources/platform/integrations/ai/qdrant.md

@@ -2,7 +2,7 @@
 title: Qdrant integration
 description: Learn how to integrate Apify with Qdrant to feed data crawled from the web into the Qdrant vector database.
 sidebar_label: Qdrant
-sidebar_position: 13
+sidebar_position: 15
 slug: /integrations/qdrant
 toc_min_heading_level: 2
 toc_max_heading_level: 4