Agent-readiness
Auth: api_key
Rankings
Overview
Firecrawl is a developer-first web data API for AI agents that searches, scrapes, crawls, maps, parses, and interacts with web pages to return LLM-ready Markdown, JSON, screenshots, and structured data.
Best for: Developers, AI teams, GTM/revops builders, data teams, and agent/RAG product teams that need reliable, structured live-web data without maintaining scraping infrastructure.
Pricing
Free Plan
$0/mo
Hobby
$16/mo
Standard
$83/mo
Growth
$333/mo
Scale
$599/mo
Enterprise
Custom
Features
- Search the web and return full page content from results
- Scrape URLs into Markdown, HTML, structured JSON, screenshots, and metadata
- Crawl entire sites recursively and gather page content
- Map/discover URLs on a website
- Batch scrape thousands of URLs asynchronously
- Interact with pages by clicking, filling forms, navigating, or extracting dynamic content
- Parse PDFs, documents, spreadsheets, and other hosted files into LLM-ready data
- JSON mode and natural-language structured extraction
- Monitoring/change tracking and webhooks
- Official SDKs for Python, Node/TypeScript, Go, Java, Ruby, Rust, .NET, PHP, Elixir plus CLI and MCP server
Pros
- Broad web-data API surface built specifically for AI agents and LLM/RAG workflows
- Hosted service abstracts away proxies, JavaScript rendering, anti-bot handling, orchestration, and rate limits
- Generous free tier and clear credit-based plans for common use cases
- Open-source with self-hosting path, SDKs, CLI, MCP, and many AI-framework integrations
Cons
- Credit pricing can become expensive or harder to predict at high volume or with advanced features
- No simple pay-per-use plan; users must choose monthly plans or custom Scale/Enterprise
- Credits generally do not roll over between periods
- Some dynamic/interactive or anti-bot-heavy sites may still require testing and tuning