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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
Project Samples
