We have hosted the application scrapling in order to run this application in our online workstations with Wine or directly.


Quick description about scrapling:

Scrapling is a Python scraping framework built for the modern web, combining high-performance fetchers with a rapid parsing engine to handle dynamic sites and anti-bot countermeasures. It emphasizes being �undetectable,� flexible, and fast, offering an approachable API for both experienced scrapers and newcomers. The library targets the full scraping pipeline: session handling, fetching, rendering when needed, parsing, and export�while keeping ergonomics front and center. Community posts and guides show active usage patterns, packaging tips, and frequent releases that iterate on speed and resilience. The repository positions Scrapling as a batteries-included alternative to stitching together many small libraries. In short, it aims to make tough targets tractable while keeping scripts readable and maintainable.

Features:
  • High-speed fetchers plus a rapid parsing engine
  • Ergonomic Python API for end-to-end scraping flows
  • Strategies aimed at lowering detectability on dynamic sites
  • Works for both simple extractions and complex crawls
  • Active releases and community tutorials for onboarding
  • Flexible output and pipeline composition options


Programming Language: Python.
Categories:
Model Context Protocol (MCP) Servers

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