Build systematic investment strategies with AI, validate them on out-of-sample and live paper data, then let an MCP-connected agent mirror them in your own brokerage account.
Summary
Turn any website into clean markdown or structured JSON — crawling, JavaScript rendering, and extraction in one API.
Description
Firecrawl converts websites into LLM-ready data. One API call returns a page as clean markdown with navigation, ads, and boilerplate stripped, or as structured JSON matching a schema you define.
What it handles
- Scrape a single URL, with JavaScript rendering, so single-page applications work
- Crawl an entire site, following links with depth and path controls, and returning every page
- Map a domain to discover its URLs quickly before deciding what to fetch
- Extract structured data by describing the fields you want, with a model doing the parsing
- Search the web and return full page content rather than snippets
- Actions — click, scroll, and type before capturing, for content behind interaction
Proxies, rate limiting, retries, and caching are handled, which is the majority of the work in any homegrown scraper.
Who uses it
Teams building RAG pipelines over documentation, competitive monitoring, lead enrichment, and agents that need current web content. Open source and self-hostable, with a hosted API offering a free tier and usage-based pricing. SDKs for Python and Node, plus integrations with the major agent frameworks.
Reviews
Similar App Suggestions
Privacy-first search infrastructure for AI agents, with smart routing, structured results, and native API, MCP, and Skill access.
One REST API that scrapes, crawls, and extracts the web into clean Markdown and schema-validated JSON for AI agents.
AI built for the rigour of finance — run structured analysis across thousands of documents with auditable answers.
A marketplace of thousands of ready-made scrapers and automation tools, plus the cloud to run your own.