Files
AutoGPT/docs/integrations/firecrawl/search.md
Nicholas Tindle 0f406f4ace fix(docs): add file headers and consistent heading levels
- Add h1 file title with manual description section to all doc files
- Make all blocks use h2 headings (previously first block was h1)
- Make all sections use h3 headings consistently
- Add title fixes for GitHub, LLM, API, HubSpot, LinkedIn, etc.
- Add --check warning for unfilled manual sections (116 files)
- Fill in descriptions for top-level category files

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-16 18:26:25 -06:00

1.9 KiB

Firecrawl Search

Add a description of this category of blocks.

Firecrawl Search

What it is

Firecrawl searches the web for the given query.

How it works

This block uses Firecrawl's search API to find web pages matching your query and optionally extract their content. It performs a web search and can return results with full page content in your chosen format.

Configure the number of results to return, output formats (markdown, HTML, raw HTML), and caching behavior. The wait_for parameter allows time for JavaScript-heavy pages to fully render before extraction.

Inputs

Input Description Type Required
query The query to search for str Yes
limit The number of pages to crawl int No
max_age The maximum age of the page in milliseconds - default is 1 hour int No
wait_for Specify a delay in milliseconds before fetching the content, allowing the page sufficient time to load. int No
formats Returns the content of the search if specified List["markdown" | "html" | "rawHtml" | "links" | "screenshot" | "screenshot@fullPage" | "json" | "changeTracking"] No

Outputs

Output Description Type
error Error message if the search failed str
data The result of the search Dict[str, Any]
site The site of the search Dict[str, Any]

Possible use case

Research Automation: Search for topics and automatically extract content from relevant pages for analysis.

Lead Generation: Find companies or contacts matching specific criteria across the web.

Content Aggregation: Gather articles, reviews, or information on specific topics from multiple sources.