How much does the Firecrawl API actually cost?
Firecrawl publishes an API, but per-tier gating wasn't extracted automatically.
- Most likely scenario: API access is either included in all paid plans, or it's gated to higher tiers and we need to verify on the live docs page.
- Until verified, treat the question "which plan unlocks the API" as open. Don't budget on the assumption it's free with the cheapest paid plan.
API at a glance
Firecrawl also has an MCP server
If you're wiring Firecrawl into Claude / Cursor / Codex, the MCP server is usually less code than the REST API.
See Firecrawl MCP pageWhat you can build with the Firecrawl API
Three personas, three different shapes of build. Pick the row that matches how you actually ship.
Glue Firecrawl into your daily workflow
- Pull a digest of ranking changes into your morning Slack
- Trigger a one-off backfill when something looks off
- Pipe data into your own SQLite for ad-hoc queries
Sell Firecrawl reporting at scale
- White-label Firecrawl data into client-branded dashboards
- Run scheduled multi-account reports without logging into the Firecrawl UI
- Cross-reference with the rest of the client's stack (CRM, analytics, ad spend)
Production pipelines for Firecrawl
- Real-time sync into your warehouse on a cron
- Custom alerts the dashboard's built-in alerting can't express
- Backfill + idempotency handling for Firecrawl data older than the dashboard exposes
Limits and gotchas
- No OpenAPI spec — you write typed clients by hand or use a third-party generator on the docs HTML.
- No official SDK detected. Plan on hitting the API directly with your HTTP client of choice.
- Rate limits: always read the docs page before scaling — the published limit is usually lower than the practical one and overages can be expensive.
Firecrawl API FAQ
Should I use the API or the MCP server for Claude / Cursor / Codex?
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Does Firecrawl have a public API?
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Sources
- Firecrawl official site: https://www.firecrawl.dev
10+ years in digital marketing. I review marketing software for AI-stack fit: real pricing, MCP and API support, and how cleanly each tool drops into an AI agent workflow, cross-checked against verified data and real user feedback.

