What problem does it solve? Extracting data from websites often fails when pages require JavaScript rendering, sit behind Cloudflare protection, or span many linked pages. This Skill provides CLI and Python workflows for scraping static, dynamic, and anti-bot-protected sites with the Scrapling framework. ## Core Features & Use Cases - Three Fetching Strategies: Use Fetcher for fast static HTTP requests, DynamicFetcher for JS-rendered SPAs, and StealthyFetcher to bypass Cloudflare Turnstile and bot detection. - 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, and similar-element detection for product listings. - Use Case: Imagine you need to collect quotes from a paginated site protected by Cloudflare. Use the stealth fetch mode to bypass the challenge, then run a Spider to follow pagination links and export results to JSON. ## Quick Start Use the scrapling skill to extract the main content from https://example.com into a Markdown file.
