// scorecard · 76/100
verified 1mo agoAgent-readiness26/35
Agent registration (auth.md)9/9
Public API5/5
OpenAPI spec0/9
MCP server9/9
llms.txt3/3
Reliability & performance12/15
Actively maintained8/8
Production-ready4/4
Updated recently—
Pricing10/13
Itemized public pricing6/6
Free tier / trial4/4
Free-tier generosity0/3
Docs & DX10/12
Docs quality8/8
Public API2/2
Quickstart / examples—
Security & compliance8/12
SOC 26/6
ISO 270010/2
GDPR0/2
Security / trust page2/2
Openness10/10
Open source6/6
Open / un-gated API4/4
Company maturity0/3
Company size—
Years operating—
// rankings · cost per standard workload
#3 in Web Search$333/ 100k queries
Search 2cr/10 results → 100k=200k cr → Growth $333/mo
firecrawl.dev/pricing#12 in Scraping$83/ 100k pages
1 page = 1 credit (basic scrape). Standard plan $83/mo = 100k credits. JS-render/extract cost more.
// 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 tier · generosity 0/5
Includes: Scrape 1000 pages · 2 concurrent requests · Low rate limits
Limits: 1000 credits/month
Free0
- 1000 credits/month
Hobby16
- 5000 pages
Standard83
- 100000 pages
Growth333
- 500000 pages
Scale599
- 1000000 pages
EnterpriseCustom
- unlimited pages
// security & compliance
✓ SOC 2✗ ISO 27001✗ GDPR✗ HIPAA
// 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