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cloudscraper: Web scraping with Cloudflare bypass

cloudscraper bypasses Cloudflare's anti-bot pages by handling JavaScript challenges. It returns a CloudScraper instance for web scraping.
Screenshot of VeNoMouS/cloudscraper homepage

cloudscraper bypasses Cloudflare's anti-bot page (I'm Under Attack Mode or IUAM), a common protection mechanism used to deter automated traffic. It achieves this by employing a JavaScript engine to solve JavaScript challenges presented by Cloudflare, mimicking a regular web browser. This allows users to scrape or crawl websites protected by Cloudflare without being blocked. The library leverages the Requests library for handling HTTP requests.

cloudscraper distinguishes itself through its comprehensive support for various Cloudflare challenges, including v1, v2, v3, and Turnstile. It offers automatic 403 error recovery, session health monitoring, and smart session refresh, enhancing reliability. The library prioritizes stealth mode to minimize detection and boasts improved compatibility with executables and JavaScript interpreters.

  • Cloudflare Challenge Support: Supports Cloudflare v1, v2, v3, and Turnstile challenges for enhanced compatibility and wider applicability.
  • Stealth Mode: Employs human-like behavior simulation to avoid detection and reduce the likelihood of being flagged as a bot.
  • Session Management: Includes features for automatic 403 error recovery and session health monitoring to maintain reliable scraping sessions.

cloudscraper is an actively maintained project with a strong track record of updates and improvements. Recent commits indicate ongoing development and bug fixes. Comprehensive testing with a 100% pass rate for core functionality demonstrates its reliability. Clear documentation and a streamlined codebase contribute to its maintainability.

cloudscraper is beneficial for developers needing to scrape websites protected by Cloudflare. Its ability to bypass anti-bot measures and handle JavaScript challenges provides a valuable tool for web scraping, data extraction, and automation tasks. It offers a straightforward API and robust features, making it a preferred alternative to manual scraping methods or less effective solutions.

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Created
7 years ago
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1 year ago
License
MIT
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Updated 17 days ago

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