Scrapling is a high-performance Python library designed to make web scraping undetectable and resilient. It features a unique Adaptive Parser that uses fuzzy matching to intelligently relocate elements when website layouts change, ensuring scrapers don't break easily. The framework offers specialized Stealthy Fetchers to bypass anti-bot protections like Cloudflare and includes an AI Integration layer that allows LLMs to browse and extract web content programmatically.
Scrapling is organized as connected concepts and components. Start broad, then drill down chapter by chapter.
Scrapling is a high-performance Python library designed to make web scraping undetectable and resilient. It features a unique Adaptive Parser that uses fuzzy matching to intelligently relocate elements when website layouts change, ensuring scrapers don't break easily. The framework offers specialized Stealthy Fetchers to bypass anti-bot protections like Cloudflare and includes an AI Integration layer that allows LLMs to browse and extract web content programmatically.
Source Repository: https://github.com/D4Vinci/Scrapling
Follow sequentially or jump to any topic. Start with Fetchers Interface.
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