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Scrapling Adaptive Python Web Scraping Library

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TL;DR

Scrapling is a Python web scraping library that automatically adapts to website structure changes and includes built-in stealth/anti-bot-detection bypass capabilities. It provides a full crawling framework with smart element detection and supports both simple and complex scraping tasks. Most web scrapers break when websites update their structure or get blocked by bot-detection systems. Scrapling solves both problems by adapting to DOM changes automatically and bundling a stealth scraping mode that bypasses anti-bot protections like Cloudflare and Turnstile.

What it actually is

  • What: Scrapling is a Python web scraping library that automatically adapts to website structure changes and includes built-in stealth/anti-bot-detection bypass capabilities. It provides a full crawling framework with smart element detection and supports both simple and complex scraping tasks.
  • Who built it / maintained by: D4Vinci (open-source developer on GitHub)
  • Status: stable
  • Why it matters: Most web scrapers break when websites update their structure or get blocked by bot-detection systems. Scrapling solves both problems by adapting to DOM changes automatically and bundling a stealth scraping mode that bypasses anti-bot protections like Cloudflare and Turnstile.
  • How it compares to alternatives:
  • Apify
  • Scrapy
  • Playwright
  • Selenium
  • BeautifulSoup
  • Puppeteer
  • GitHub stars: 65,375 · License: BSD-3-Clause · Archived: no

Links

  • Repo: https://github.com/D4Vinci/Scrapling
  • Docs: https://github.com/D4Vinci/Scrapling#readme

Kickstarter guide

Install Scrapling via pip: pip install scrapling. Import the library and define a spider class with start URLs and a parse method. Use the built-in stealth fetcher for sites with bot detection, and leverage the adaptive element selectors to handle changing page structures. Full examples and documentation are available in the GitHub repository.