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Firecrawl

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Agent infrastructureindependentVerified 2026-06-30

Open source web scraping and crawling API that turns any site into clean, LLM ready markdown or structured JSON for agents.

Firecrawl is a web data API built for AI. You give it a URL and it returns clean markdown, structured JSON, screenshots, or raw HTML, handling the parts that usually break scrapers, JavaScript rendering, rotating proxies, anti bot defenses, and rate limits, with no configuration. The output is meant to drop straight into a model's context, so agents and retrieval pipelines spend fewer tokens parsing noise. Firecrawl is built by the team at Mendable.ai, is backed by Y Combinator, and its core engine is open source under the AGPL license with more than 142,000 GitHub stars.

The product is a family of endpoints. Scrape pulls a single page, Crawl walks an entire site, and Map returns every discoverable URL on a domain so you can target only the pages you need. Search runs a web query and returns full page contents rather than just links, Extract uses AI and a natural language schema to pull structured fields, and Interact drives a headless browser to handle dynamic pages and form automation. Monitor reruns scrapes on a schedule to track changes, and a newer Agent endpoint runs autonomous multi step web research. Firecrawl reports covering about 96 percent of the web with a P95 latency near 3.4 seconds.

Firecrawl positions itself as a default tool for agent stacks. It ships native integrations for LangChain, LlamaIndex, and CrewAI, connects to any MCP client with a single command, and offers an official Claude plugin and skill alongside Python, Node, and Java SDKs. The open source core can be self hosted through Docker for teams with data residency or compliance needs, though managed only features like the Agent endpoint, the hosted browser sandbox, stealth mode, advanced proxy handling, and dashboards stay on the cloud service. For enterprises Firecrawl adds zero data retention, single sign on, and SOC 2 Type 2 compliance.

Pricing is a credit based subscription rather than pay per use. A free tier gives 1,000 credits a month, then Hobby starts at $16 a month billed yearly, Standard is $83, Growth is $333, and Scale is $599, with Enterprise custom. Most core calls cost one credit per page, while Search, Interact, and AI extraction cost more, so a crawl that also extracts structured data can run several credits per page. Credits do not roll over, and Firecrawl charges for pages it fetches successfully even when the site itself returns an error, which are the main things to model before committing to a tier.

Vendor details

Canonical URL

https://www.firecrawl.dev

Subcategory

Web scraping and crawling

Funding status

Built by the team at Mendable.ai. Backed by Y Combinator. The core engine is open source under the AGPL license with more than 142,000 GitHub stars, offered as a hosted service and self hostable via Docker. SOC 2 Type 2 compliant.

Company status

independent

Use cases & customers

Primary use cases

web scrapingweb crawlingstructured data extractionRAG ingestionweb data for agents

Target customers

developersenterprise

Deployment options

SaaSself-hosted

Integrations

Native integrations with LangChain, LlamaIndex, and CrewAI, an MCP server connectable in a single command, an official Claude plugin and skill, and no code connectors like n8n and Lovable. Python, Node, and Java SDKs, plus an agent onboarding skill and WorkOS authentication.

In practice

Your cold outbound needs a personalized first line per prospect. You scrape each company's homepage and about page with Firecrawl, feed the clean markdown to an LLM, and generate specific opening lines at scale.

Your RAG knowledge base is fed by brittle scrapers that break on JavaScript heavy sites. You replace them with Firecrawl, which renders the page, bypasses anti bot defenses, and returns clean markdown ready for ingestion.

You need a structured table of products and prices from a competitor's site. You point Firecrawl's Extract endpoint at it with a natural language schema and get consistent JSON without writing CSS selectors.

Sources & related URLs

Related / legacy domains

https://www.firecrawl.dev/pricing https://docs.firecrawl.dev https://github.com/firecrawl/firecrawl

Research sources

https://www.firecrawl.dev https://www.firecrawl.dev/pricing https://github.com/firecrawl/firecrawl

Capability coverage

6.0 / 14 capabilities · 43%

Integrations & Tool CallingExtensive integrations: native LangChain, LlamaIndex, and CrewAI tools, an MCP server connectable in a single command, an official Claude plugin and skill, and n8n and Lovable connectors. It serves as a web data tool agents call rather than a tool calling orchestrator.	Partial
Workflow OrchestrationCrawl orchestrates multi page site traversal and the Agent endpoint runs autonomous multi step web research, but Firecrawl does not orchestrate general agent execution or branching logic.	Partial
Knowledge Grounding & RAGCore product. Turns any web source into clean, LLM ready markdown or structured JSON, with Search returning full page content, making it a primary ingestion and grounding layer for RAG and knowledge bases.	Full
Human Oversight & GuardrailsA web data API with no human approval, review, or guardrail features for agent actions.	Unable to verify
Security, Identity & GovernanceSOC 2 Type 2 compliant with zero data retention, single sign on, and advanced security on enterprise, but a lighter identity and governance surface than a dedicated enterprise platform.	Partial
Observability & AuditabilityProvides usage dashboards and a status page, but no agent level observability, tracing, or audit trail product.	Unable to verify
Memory & State PersistenceCrawl and Monitor maintain internal job and change tracking state, but Firecrawl provides no agent memory or state persistence layer.	Unable to verify
Deployment & Data ResidencyOffered both as a managed cloud service and as an open source AGPL build self hostable via Docker, plus zero data retention and SSO on enterprise, giving real deployment and data residency choices.	Full
Prebuilt Agents, Templates & PacksShips a template repository, use case guides for deep research and lead enrichment, a packaged web research agent, and the Research Index, but not a broad prebuilt agent library.	Partial
Triggers & Channel CoverageThe Monitor endpoint reruns scrapes on a schedule to detect changes, a real scheduled trigger, but Firecrawl has no conversational channels or general agent invocation.	Partial
Model Flexibility & RoutingWorks as a tool for any external model and uses a managed LLM for AI extraction, but offers no model selection or routing for the user's models.	Unable to verify
APIs, SDKs & MCP ExtensibilityAPI first with Python, Node, and Java SDKs, an official MCP server, a Claude plugin and skill, an open source self hostable core, and an agent onboarding skill, built to be embedded in agent stacks.	Full
Testing, Debugging & OptimizationOffers a Playground for interactively testing scrape requests, but no evaluation, regression testing, or optimization framework for agent behavior.	Unable to verify
Browser & Computer UseThe Interact endpoint drives a headless browser for dynamic pages and form automation, and stealth mode handles anti bot defenses, real browser use scoped to web data gathering rather than general computer control.	Partial

Recent platform changes

No recent material changes tracked yet.

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Pricing

From $16/mo billed yearly · free tier + open source

Credits per API request (1 credit per page for scrape, crawl, map, monitor), within monthly subscription tiers

Public — exactMedium variable costFree tier

Included quota

Free 1,000 credits/mo. Hobby 5,000 pages, Standard 100,000, Growth 500,000, Scale 1,000,000. Concurrency scales by tier from 2 to 150.

What is public

Firecrawl publishes a full six tier rate card from Free to Enterprise plus a per endpoint credit table, so base costs are transparent. Enterprise credits and discounts are custom.

Billing mechanics

A credit based monthly subscription. Each tier grants a monthly credit pool; most calls cost one credit per page, with higher costs for search, browser interaction, and AI extraction. Credits do not roll over except auto recharge credits and upfront annual grants. There is no pay per use option. Billing is via Stripe and is cheaper when billed yearly.

Cost watchouts

Firecrawl charges for pages it fetches successfully even when the target site returns a 4xx or 5xx error. Advanced features such as JSON output, Enhanced Mode, extraction, and stealth proxy pools consume additional credits beyond the base rate.

Variable cost rationale

Headline tiers are fixed monthly subscriptions with predictable credit pools, but credit multipliers on AI extraction, stealth mode, search, and browser interaction can consume credits several times faster than the one credit per page base, and non rollover credits mean unused allotments are lost.

Additional watchouts

Credits do not roll over, so unused allotment is lost each period. AI extraction and stealth mode can cost roughly five credits per page, and a crawl plus extract workflow can run about seven credits per page, well above the one credit base.

Overage / add-ons

Credit based subscription with no pay per use option. Credits do not roll over month to month, except auto recharge credits and upfront Scale or Enterprise annual grants. Exceed a tier by upgrading or enabling auto recharge.

Sales call required

No — self-serve available

Free / trial

Free tier: 1,000 credits per month, no card. Open source core self hostable.

Lowest paid plan

Hobby $16/mo billed yearly (5,000 pages, 5 concurrent)

Commercial notes

Sold bottom up to developers and AI teams through a free tier, open source distribution, and deep framework and MCP integrations. Self serve tiers run up to Scale at $599 a month; Enterprise adds dedicated support, an SLA, zero data retention, single sign on, and bulk discounts.

Key ambiguities

Real monthly cost depends on which endpoints and advanced features a workload uses, since multipliers can make effective per page cost several times the headline one credit.

Cancellation / refund

Self serve monthly or yearly subscriptions via Stripe; standard subscription cancellation. Enterprise terms are contractual.

Support SLA / resale

Basic support on Hobby, standard on Standard, priority on Growth and Scale, and a dedicated SLA on Enterprise.

Missing data

Enterprise credit volumes and discounts are custom. Exact credit multipliers for some advanced features are documented in the API reference rather than the headline table, and monthly versus yearly billing differences are not itemized per tier.

Verified 2026-06-30

Official pricing page

Data confidence: high