Mastering Firecrawl Search Endpoint: Web Search and Data Extraction in One API Call
Blog post from Firecrawl
Firecrawl's /v2/search endpoint offers a comprehensive solution for AI agents needing up-to-date web information by returning search results with full page content in a single API call. Unlike traditional search APIs that provide only links, Firecrawl eliminates the need for separate scraping operations, thus streamlining the process of accessing relevant web content. Users can customize searches by specifying result types and domains, such as web, news, or images, and apply filters to target specific categories like GitHub repositories or academic research. The search service is accessible through REST API, Python and Node SDKs, MCP server, and CLI, costing 2 credits per 10 results, with additional charges for scraping. Firecrawl's integration with various platforms and its ability to handle complex data extraction make it a powerful tool for building intelligent, context-aware AI applications that require diverse and specific data sources.
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