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Comparison of packages

Choose the library that best fits your specific needs, considering factors like the complexity of the websites you’re scraping, the scale of your project, and your familiarity with web technologies.

Overview:

  1. Scrapy: A comprehensive framework for large-scale web scraping projects such as configuring an adaptor for each target websites and referencing the sitemap. It’s fast and scalable but has a steeper learning curve.
  2. Requests-HTML: Built on top of Requests, it adds JavaScript support and parsing capabilities. It’s good for simpler scraping tasks.
  3. Puppeteer: Originally for Node.js, it’s available in Python via pyppeteer. It offers full browser automation and is excellent for scraping dynamic websites.
  4. Selenium: Primarily for browser automation and testing, but also popular for web scraping, especially for sites with complex JavaScript.
  5. Requests: A simple, user-friendly HTTP library. It’s excellent for making HTTP requests but requires additional libraries (like Beautiful Soup or lxml) for parsing HTML. It cannot load JS on a page, so will not handle SPA sites (e.g. React), so use requests-html or Puppeteer.
  6. PyQuery: A parsing library that allows jQuery-like syntax for parsing HTML. Often used with Requests for scraping.

Comparison:

Feature Scrapy Requests-HTML Puppeteer Selenium Requests PyQuery
Type Full-featured framework Library Library Framework HTTP library Parsing library
JavaScript Support Limited Yes Full Full No No
Async Support Yes Yes Yes No (unless with asyncio) No (unless with asyncio) No
Browser Automation No No Yes Yes No No
CSS Selectors Yes Yes Yes Yes No (needs parser) Yes
XPath Support Yes Yes Yes Yes No (needs parser) Yes
Built-in Concurrency Yes No No No No No
Ease of Use Moderate Easy Moderate Moderate Very Easy Easy
Speed Fast Moderate Moderate Slow Fast Fast (parsing only)
Data Extraction Structured Basic Flexible Flexible Basic Flexible
Proxy Support Yes (built-in) Yes Yes Yes Yes N/A
User-Agent Rotation Built-in Manual Manual Manual Manual N/A
Learning Curve Steep Shallow Moderate Moderate Very Shallow Shallow
Best For Large-scale scraping Simple scraping tasks Dynamic websites Complex web interactions Simple HTTP requests jQuery-like parsing

For JS support

  • “Full” support means the library can handle virtually any JavaScript scenario a real user might encounter.
  • “Yes” indicates basic JavaScript rendering capabilities but potentially with some limitations in complex scenarios or interactions.