Building a Netflix show recommender using Crawlee and React

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • crawlee

    Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

    If you like the posts on the Crawlee blog so far, please consider giving Crawlee a star on GitHub, it helps us to reach and help more developers.

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  • puppeteer

    Node.js API for Chrome

    In this tutorial, we can extract data from the HTML structure, so we will go with Cheerio, but for extracting data from SPAs or JavaScript-rendered websites, Crawlee also supports headless browser libraries like Playwright and Puppeteer

  • web-show-recommender

    Make sure to update CSS on the App.css file from here: https://github.com/ayush2390/web-show-recommender/blob/main/src/App.css

  • Playwright

    Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.

    In this tutorial, we can extract data from the HTML structure, so we will go with Cheerio, but for extracting data from SPAs or JavaScript-rendered websites, Crawlee also supports headless browser libraries like Playwright and Puppeteer

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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