Scrapling Adaptive Web Scraping Framework
Scrapling is an adaptive Python web scraping framework that automatically handles website structure changes. Its parser learns from page updates and relocates elements, its fetchers bypass anti-bot systems like Cloudflare Turnstile, and its spider framework scales to concurrent multi-session crawls with proxy rotation.
npx skills add agentskillexchange/skills --skill scrapling-adaptive-web-scraping-framework
Scrapling is a Python web scraping framework built to handle everything from single-page extraction to full-scale crawling operations. Its distinguishing feature is adaptive parsing: the parser learns from website changes and automatically relocates target elements when pages update their structure, eliminating the common problem of scrapers breaking after site redesigns.
What this skill actually does
Anti-Bot Bypass
Scrapling ships with fetchers that bypass anti-bot protection systems out of the box, including Cloudflare Turnstile. The StealthyFetcher mode uses browser-level fingerprint evasion, while the DynamicFetcher handles JavaScript-rendered content. The standard Fetcher and AsyncFetcher provide lightweight options for simpler targets. All fetchers support headless and headed browser modes with network idle detection.
Spider Framework
The spider framework enables concurrent, multi-session crawls with built-in pause and resume functionality. It includes automatic proxy rotation, real-time crawl statistics, and streaming data output. The spider architecture supports scaling from a few pages to millions while managing rate limiting and session persistence automatically.
Selection Methods
Scrapling provides multiple element selection methods including CSS selectors, XPath expressions, and its own adaptive selectors that survive DOM changes. The adaptive selection engine fingerprints elements based on attributes, text content, and structural position, then uses similarity matching to relocate them after page updates. This is backed by a storage layer that persists element fingerprints across scraping sessions.
Technical Details
The framework is available on PyPI via pip install scrapling and includes a CLI for quick scraping tasks. It also provides an MCP server for integration with AI coding agents and agent frameworks. Scrapling is licensed under BSD-3-Clause and has accumulated over 33,000 GitHub stars. It is actively maintained with recent commits. The library supports Python 3.8+ and integrates with Playwright for browser-based scraping. Documentation is available at scrapling.readthedocs.io with guides for selection methods, fetchers, spiders, proxy configuration, CLI usage, and MCP integration.