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Autonomously crawl websites, gather information, and run browser-based agent tasks with LLMs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "acrawl" yet — see the docs or source repo.
Autonomously browse these five competitor websites, extract product positioning, pricing, key features, and recent updates, then compile them into a comparison table.
A structured competitor comparison table with source links and concise key findings.
Visit the provided list of web pages, extract each page's title, publish date, author, and content summary, and return the results as a JSON array.
Normalized JSON data ready for analysis or database ingestion.
Your goal is to find the latest documentation entry point, signup flow, and API authentication method for a cloud service product, then summarize the steps and caveats.
A concise task summary including key pages, step-by-step guidance, and potential risk notes.
Scrape, crawl, map, and search web data for AI agents.
Crawl and audit websites for SEO and GEO issues with fixes.
Fetch real web pages and search across engines for agent workflows.
Crawl websites, extract dynamic content, and save structured Markdown files.
Turn any website into callable MCP tools for automated browsing.
Connect a live Chrome browser to your agent for capture and extraction.