Crawl JavaScript-heavy websites and extract structured data into Markdown.
npx skills add https://github.com/basher83/agent-auditor --skill crawl4ai
Please help me install this Agent Skill. Skill: crawl4ai Source: https://github.com/basher83/agent-auditor/tree/main/.claude/skills/crawl4ai Command: npx skills add https://github.com/basher83/agent-auditor --skill crawl4ai
Web scraping is often complex, brittle, and time-consuming, especially when dealing with dynamic JavaScript-heavy pages or needing structured data without incurring high LLM costs. This Skill simplifies web data acquisition, allowing you to automate complex crawling and extraction tasks efficiently.
Crawl the website 'https://example.com' and extract its main content as markdown, saving it to 'example.md'.
High-intent search queries and answers about installing and using this skill.
Web scraping JavaScript-heavy sites requires handling dynamic content rendering. crawl4ai automates this by executing JavaScript, capturing rendered content, and extracting structured data via CSS selectors, XPath, regex patterns, or LLM-based schema extraction—all without requiring manual browser automation setup.
Yes, crawl4ai supports batch processing of multiple URLs concurrently with adaptive resource management. It converts web content into clean, LLM-ready markdown output, allowing you to process multiple pages efficiently in a single operation.
CSS/XPath/regex extraction uses selectors to target specific page elements with no LLM cost, while LLM-based extraction intelligently interprets content semantically and generates schemas automatically. Choose CSS extraction for consistent, rule-based patterns; use LLM extraction when content structure varies or schema generation is needed.
No, crawl4ai handles anti-bot measures and virtual scrolling automatically. Configurable browser settings (BrowserConfig) and crawl parameters (CrawlerRunConfig) let you customize behavior without writing detection or scrolling logic yourself.
Yes, crawl4ai is designed as LLM-free for extraction. Use schema-driven CSS/XPath/regex extraction to structure data without calling external LLM services. LLM-based options are available only when you explicitly enable schema generation or structured extraction.
crawl4ai produces markdown-ready content for LLM processing and exportable structured data in JSON format. Extraction results can be saved directly or piped into downstream analysis and integration workflows.
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