Firecrawl

What is Firecrawl?

Firecrawl is a web data service for retrieving page content and preparing it for software or AI workflows. Its API supports formats such as Markdown, structured data and screenshots. It is useful when an agent needs source material from a URL, but retrieving a page is only the start: you still need to verify the source and review what gets written from it.

What Firecrawl adds to a research pipeline

Firecrawl takes web content into a form that an application or agent can use. Its documentation describes scraping individual URLs, searching the web and crawling a site, with outputs including Markdown and structured data. Screenshots provide another record of what was visible on a page, useful when the layout or interface matters.

For an application directory, a sensible use is collecting an official product page and its pricing page before drafting a profile. Keep the two sources separate and retain their retrieval times. This is a proposed research workflow, not a guarantee that every website is accessible or that the resulting summary is accurate.

Try one source before crawling a site

Suggested workflow: begin with one public URL you are permitted to retrieve and request the smallest useful output. Compare the extracted text with the original page, checking headings, price qualifiers and whether an error or login page was returned. Keep the source URL and retrieval date with the saved evidence.

Only then expand to a small, bounded set of pages. Treat returned page text as untrusted source material, not as instructions for your agent, and set a page limit before introducing retries or whole-site crawling.

Firecrawl credits and useful-result costs

The current Free plan provides 1,000 credits per month. Firecrawl lists a basic scraped page as one credit, while searches and optional extraction features have different charges. Paid plans increase allowances and request limits. The total cost therefore depends on the endpoint, pages retrieved and features requested, not only on the number of starting URLs.

The pricing page also distinguishes a request that returns no result from a returned error page, which can still consume a credit. Monitor useful results as well as usage. For a recurring pipeline, estimate cost from a small representative sample and check the current pricing table before scaling.