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feat: update the course intro and all lesson intros of the JS2 course to be about JavaScript (#1653)
A part of #1584
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‎sources/academy/webscraping/scraping_basics_javascript2/04_downloading_html.md

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---
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title: Downloading HTML with Python
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title: Downloading HTML with Node.js
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sidebar_label: Downloading HTML
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description: Lesson about building a Python application for watching prices. Using the HTTPX library to download HTML code of a product listing page.
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description: Lesson about building a Node.js application for watching prices. Using the Fetch API to download HTML code of a product listing page.
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slug: /scraping-basics-javascript2/downloading-html
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---
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import Exercises from './_exercises.mdx';
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**In this lesson we'll start building a Python application for watching prices. As a first step, we'll use the HTTPX library to download HTML code of a product listing page.**
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**In this lesson we'll start building a Node.js application for watching prices. As a first step, we'll use the Fetch API to download HTML code of a product listing page.**
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‎sources/academy/webscraping/scraping_basics_javascript2/05_parsing_html.md

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title: Parsing HTML with Python
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title: Parsing HTML with Node.js
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sidebar_label: Parsing HTML
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description: Lesson about building a Python application for watching prices. Using the Beautiful Soup library to parse HTML code of a product listing page.
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description: Lesson about building a Node.js application for watching prices. Using the Cheerio library to parse HTML code of a product listing page.
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slug: /scraping-basics-javascript2/parsing-html
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unlisted: true
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---
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import Exercises from './_exercises.mdx';
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**In this lesson we'll look for products in the downloaded HTML. We'll use BeautifulSoup to turn the HTML into objects which we can work with in our Python program.**
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**In this lesson we'll look for products in the downloaded HTML. We'll use Cheerio to turn the HTML into objects which we can work with in our Node.js program.**
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‎sources/academy/webscraping/scraping_basics_javascript2/06_locating_elements.md

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title: Locating HTML elements with Python
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title: Locating HTML elements with Node.js
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sidebar_label: Locating HTML elements
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description: Lesson about building a Python application for watching prices. Using the Beautiful Soup library to locate products on the product listing page.
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description: Lesson about building a Node.js application for watching prices. Using the Cheerio library to locate products on the product listing page.
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slug: /scraping-basics-javascript2/locating-elements
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unlisted: true
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import Exercises from './_exercises.mdx';
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**In this lesson we'll locate product data in the downloaded HTML. We'll use BeautifulSoup to find those HTML elements which contain details about each product, such as title or price.**
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**In this lesson we'll locate product data in the downloaded HTML. We'll use Cheerio to find those HTML elements which contain details about each product, such as title or price.**
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‎sources/academy/webscraping/scraping_basics_javascript2/07_extracting_data.md

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title: Extracting data from HTML with Python
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title: Extracting data from HTML with Node.js
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sidebar_label: Extracting data from HTML
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description: Lesson about building a Python application for watching prices. Using string manipulation to extract and clean data scraped from the product listing page.
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description: Lesson about building a Node.js application for watching prices. Using string manipulation to extract and clean data scraped from the product listing page.
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slug: /scraping-basics-javascript2/extracting-data
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unlisted: true
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‎sources/academy/webscraping/scraping_basics_javascript2/08_saving_data.md

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title: Saving data with Python
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title: Saving data with Node.js
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sidebar_label: Saving data
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description: Lesson about building a Python application for watching prices. Using standard library to save data scraped from product listing pages in popular formats such as CSV or JSON.
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description: Lesson about building a Node.js application for watching prices. Using the json2csv library to save data scraped from product listing pages in both JSON and CSV.
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slug: /scraping-basics-javascript2/saving-data
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**In this lesson, we'll save the data we scraped in the popular formats, such as CSV or JSON. We'll use Python's standard library to export the files.**
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**In this lesson, we'll save the data we scraped in the popular formats, such as CSV or JSON. We'll use the json2csv library to export the files.**
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‎sources/academy/webscraping/scraping_basics_javascript2/09_getting_links.md

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title: Getting links from HTML with Python
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title: Getting links from HTML with Node.js
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sidebar_label: Getting links from HTML
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description: Lesson about building a Python application for watching prices. Using the Beautiful Soup library to locate links to individual product pages.
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description: Lesson about building a Node.js application for watching prices. Using the Cheerio library to locate links to individual product pages.
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slug: /scraping-basics-javascript2/getting-links
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---
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import Exercises from './_exercises.mdx';
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**In this lesson, we'll locate and extract links to individual product pages. We'll use BeautifulSoup to find the relevant bits of HTML.**
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**In this lesson, we'll locate and extract links to individual product pages. We'll use Cheerio to find the relevant bits of HTML.**
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‎sources/academy/webscraping/scraping_basics_javascript2/10_crawling.md

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title: Crawling websites with Python
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title: Crawling websites with Node.js
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sidebar_label: Crawling websites
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description: Lesson about building a Python application for watching prices. Using the HTTPX library to follow links to individual product pages.
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description: Lesson about building a Node.js application for watching prices. Using the Fetch API to follow links to individual product pages.
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slug: /scraping-basics-javascript2/crawling
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---
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import Exercises from './_exercises.mdx';
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**In this lesson, we'll follow links to individual product pages. We'll use HTTPX to download them and BeautifulSoup to process them.**
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**In this lesson, we'll follow links to individual product pages. We'll use the Fetch API to download them and Cheerio to process them.**
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‎sources/academy/webscraping/scraping_basics_javascript2/11_scraping_variants.md

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title: Scraping product variants with Python
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title: Scraping product variants with Node.js
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sidebar_label: Scraping product variants
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description: Lesson about building a Python application for watching prices. Using browser DevTools to figure out how to extract product variants and exporting them as separate items.
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description: Lesson about building a Node.js application for watching prices. Using browser DevTools to figure out how to extract product variants and exporting them as separate items.
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slug: /scraping-basics-javascript2/scraping-variants
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‎sources/academy/webscraping/scraping_basics_javascript2/12_framework.md

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title: Using a scraping framework with Python
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title: Using a scraping framework with Node.js
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sidebar_label: Using a framework
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description: Lesson about building a Python application for watching prices. Using the Crawlee framework to simplify creating a scraper.
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description: Lesson about building a Node.js application for watching prices. Using the Crawlee framework to simplify creating a scraper.
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slug: /scraping-basics-javascript2/framework
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‎sources/academy/webscraping/scraping_basics_javascript2/13_platform.md

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title: Using a scraping platform with Python
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title: Using a scraping platform with Node.js
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sidebar_label: Using a platform
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description: Lesson about building a Python application for watching prices. Using the Apify platform to deploy a scraper.
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description: Lesson about building a Node.js application for watching prices. Using the Apify platform to deploy a scraper.
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slug: /scraping-basics-javascript2/platform
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unlisted: true
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