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Firecrawl is a hosted web-data API for developers and AI teams. It can search the web, extract content from individual pages, discover URLs across a site, crawl pages into a corpus, and interact with websites through browser actions. You can use it to supply current web content to applications such as research agents and retrieval-augmented generation (RAG) systems.
What Firecrawl does
Firecrawl converts web pages and site content into data that software can use. Its public product surface includes Search, Scrape, Map, Crawl, Interact, structured extraction, and agent-oriented research workflows. The service is available as a hosted platform and API; its v2 API specification identifies the server as https://api.firecrawl.dev/v2.
The distinction between its main operations is useful when choosing a workflow:
| Operation | What it does | Typical purpose |
|---|---|---|
| Search | Finds web results and can optionally retrieve their content. | Finding sources for a research or search-driven workflow. |
| Scrape | Processes an individual URL and can return clean Markdown, HTML, JSON, screenshots, or extracted fields. | Getting usable content from a known page. |
| Map | Discovers URLs on a site without necessarily scraping each page. | Finding relevant pages before deciding what to collect. |
| Crawl | Follows a starting URL across a site and returns a corpus. | Collecting multiple pages for a knowledge base, migration, or analysis. |
| Interact | Uses browser actions or prompts to navigate and operate pages. | Working with sites that require browser interaction. |
Is Firecrawl an API or a scraper?
It is both a web-scraping service and a broader web-data API. Scraping is one capability: the /scrape endpoint accepts a URL and can optionally use LLM-based extraction. The broader platform also covers search, URL discovery, site crawling, and browser interaction, so it is not limited to downloading one page at a time.
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Can Firecrawl crawl an entire website and handle JavaScript?
Firecrawl’s Crawl feature is designed to follow pages from a starting URL and return a site corpus. Its official Crawl page highlights real Chromium rendering, JavaScript handling, crawl-scope controls, and streaming results. Those features make it relevant for sites whose content depends on browser rendering; they do not establish that every page on every site will be accessible or included. Scope settings and site behavior affect what a crawl can collect.
How many credits does Firecrawl use?
Official billing documentation lists these credit charges:
| Operation | Listed credit usage |
|---|---|
| Scrape | 1 credit per page |
| Crawl | 1 credit per page |
| Map | 1 credit per call |
| Search | 2 credits per 10 results |
| Interact | 2–7 credits per browser minute |
| Agent | Dynamic pricing; five free daily runs are listed |
Credit use depends on the operation, and Interact’s charge varies within its listed range. Agent pricing is dynamic. The available billing information does not establish current dollar prices or plan limits, so check Firecrawl’s pricing and billing pages before estimating a project budget.
Is Firecrawl free?
Firecrawl lists five free daily Agent runs, and its Crawl page presents Free, Hobby, Standard, and Growth self-serve tiers. These facts do not establish that all capabilities are free or that the free tier has a particular current credit allowance. Check the current plan details before relying on a free allocation.
What do developers use Firecrawl for?
Firecrawl names deep-research agents, RAG pipelines, lead enrichment, competitive intelligence, content generation, price monitoring, knowledge bases, content migration, and onboarding flows as use cases. In practice, its appeal is that a team can obtain and structure web content through one platform rather than building every search, crawl, rendering, and extraction step independently.
How should you evaluate Firecrawl?
Whether it fits depends on the sites and workload your application needs to support. When assessing Firecrawl or comparing it with another web-data API, look at:
- Coverage and freshness: whether the service can reach the sites and content your application needs, and how current the retrieved information is.
- JavaScript handling: whether browser rendering works for the pages in your target set.
- Output formats: whether Markdown, HTML, JSON, screenshots, or extracted fields match what your system consumes.
- Extraction controls: whether schema-driven extraction can produce the fields your application requires.
- Crawl controls: whether depth and scope settings let you collect the intended pages without unnecessary crawling.
- Throughput: whether concurrency, streaming, and latency suit your workflow.
- Integration: whether the API, SDK, or MCP options fit your existing stack.
- Data handling: what retention and privacy options apply to your use case.
- Cost: how credits translate to the volume and types of operations you expect to run.
How strong are Firecrawl’s performance claims?
Firecrawl reported 96% coverage and 3,387 ms P95 latency on a 1,000-URL scrape-content benchmark it ran on January 13, 2026. These are vendor-reported results, not independent measurements. They describe that benchmark and should not be treated as a guarantee for a different URL set, workload, or configuration.
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