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Scrapling - An Undetectable, Powerful, Flexible, High-Performance Python Library That Makes Web Scraping Simple And Easy Again!

  • Scrapling is a high-performance, intelligent web scraping library for Python that adapts to website changes and outperforms popular alternatives.
  • It provides features like dynamic loading, automation, anti-bot protection bypass, smart element tracking, and flexible selection methods.
  • Scrapling offers lightning-fast HTTP requests, memory efficiency, and fast JSON serialization.
  • Developer-friendly features include a powerful navigation API, rich text processing, auto selectors generation, and familiar API.
  • Installation is simple using pip and browsers' dependencies can be installed by running a command.
  • The library allows fetching websites with interfaces like Fetcher, StealthyFetcher, and PlayWrightFetcher.
  • Scrapling's advanced parsing features include smart navigation, content-based selection, finding similar elements, and handling structural changes.
  • The article also compares Scrapling's performance with popular Python libraries like Scrapy and Lxml in text extraction and extraction by text speed tests.
  • The library addresses common questions in FAQs and emphasizes educational and research purposes only with a BSD-3 license.
  • Contributions are welcome, with known issues highlighted, acknowledgments given, and references to related projects.
  • Scrapling is designed and crafted by Karim Shoair, emphasizing its high functionality, ease of use, and performance benefits.

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