What problem does it solve? Extracting data from websites often fails when pages require JavaScript rendering, sit behind Cloudflare or anti-bot protection, or span many linked pages. This Skill provides CLI and Python workflows for fetching, parsing, and crawling such sites with the Scrapling framework. ## Core Features & Use Cases - Three Fetching Strategies: Use Fetcher for static HTTP pages, DynamicFetcher for JS-rendered SPAs, and StealthyFetcher for Cloudflare-protected or fingerprinted sites. - Spider Crawling Framework: Build multi-page crawlers with link following, concurrent requests, multi-session routing, and pause/resume checkpoints. - Rich Element Selection: Query pages with CSS selectors, XPath, text/regex finders, similar-element detection, and DOM navigation. - Use Case: Scrape a Cloudflare-protected product listing site by running scrapling extract stealthy-fetch with --solve-cloudflare, then export results to Markdown or JSON. ## Quick Start Ask the AI to scrape a target URL with Scrapling, for example: extract all quotes from quotes.toscrape.com and save them to a JSON file.