Firecrawl
Web scraping API built for AI. Scrape, crawl, search, and extract structured data from any URL. Handles JavaScript, anti-bot, and proxy rotation so you do not have to.
What it is
Firecrawl pulls clean, usable data from any website. You give it a URL, it gives you back the actual content in a format your tools can work with, handling all the scripts, pop-ups, and dynamic loading that normally make this difficult. It can scrape single pages, crawl entire sites, extract specific data points you define (like prices, names, or contact details), search the web, and even send an AI agent to find information without you needing to know the exact URLs.
Who it is for
Teams that need to pull information from websites reliably and at scale. Competitor pricing, lead data, product catalogs, content monitoring. Firecrawl handles the technical complexity so you get clean, usable data back.
Anyone using AI coding tools (Claude Code, Cursor, Windsurf) who wants their AI to be able to look things up on the web or pull data from specific pages as part of its workflow.
Businesses building AI assistants or chatbots that need access to current web information. Firecrawl turns messy web pages into clean content that AI models can actually work with.
Teams doing lead enrichment, competitor research, or market monitoring who need structured data from hundreds or thousands of web pages without manual copy-pasting.
Developers building systems that feed web content into AI models. The output is already formatted for that use case, which saves a significant amount of cleanup work.
Pros and cons
Pros
- +96% success rate across the web. Most pages come back with clean, usable content on the first try. The cloud version handles JavaScript-heavy sites, dynamically loaded content, and bot protection automatically.
- +Zero infrastructure to maintain. No proxy pools, no headless browsers, no CSS selectors to keep up to date. Pass a URL, get markdown back. That simplicity is the point.
- +Six distinct scraping modes cover every scenario: single page, full site crawl, URL discovery, web search, schema-based extraction, and autonomous agent. Most scraping tools give you one or two of these.
- +Output is optimized for LLMs. Clean markdown that chunks well for RAG, structured JSON that matches your schema, screenshots when you need visual context. No HTML cleanup step.
- +Open source core with 127,000+ GitHub stars. You can self-host if you need data residency, though the cloud version has significantly more capability.
- +FIRE-1 autonomous agent can research across the web without you specifying URLs. Describe what you need, it finds and extracts it. Genuinely useful for multi-source research tasks.
Cons
- −Credits burn fast when you use add-ons. JSON extraction costs 5 credits per page instead of 1, enhanced proxy adds 4 more. A crawl that looks cheap at 1 credit/page can become expensive quickly.
- −No pay-per-use option. Monthly subscriptions only, and unused credits do not roll over. If your usage is unpredictable, you are either overpaying for headroom or running out mid-month.
- −The self-hosted version is missing the features that make the cloud version reliable: Fire Engine, stealth proxies, anti-bot bypass, actions, browser sandbox, and the FIRE-1 agent. It is more of a proof of concept than a production deployment.
- −No social media scraping. Twitter, LinkedIn, Instagram, Facebook are all explicitly unsupported. If you need social data, you need a different tool.
- −Authenticated pages and login walls require manual action scripting. No built-in CAPTCHA solving or 2FA handling. For anything behind a login, expect extra work.
- −FIRE-1 Agent pricing is opaque. You get 5 free runs per day, then 'dynamic pricing' with no clear per-run cost. Hard to budget for.
Pricing
- 1,000 credits per month
- 2 concurrent requests
- All core endpoints (scrape, crawl, map, search)
- 3,000 credits per month
- 5 concurrent requests
- All core endpoints
- 100,000 credits per month
- 50 concurrent requests
- All endpoints including Extract and Agent
- Extra credits at $47 per 35,000
- 500,000 credits per month
- 100 concurrent requests
- All endpoints including Agent and Browser Sandbox
Prices change; check the official pricing →