Skip to main content
Glama

firecrawl_extract

Extract structured data from web pages using LLM prompts and JSON schemas. Supports cloud AI or self-hosted models for web content analysis.

Instructions

Extract structured information from web pages using LLM. Supports both cloud AI and self-hosted LLM extraction.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlsYesList of URLs to extract information from
promptNoPrompt for the LLM extraction
systemPromptNoSystem prompt for LLM extraction
schemaNoJSON schema for structured data extraction
allowExternalLinksNoAllow extraction from external links
enableWebSearchNoEnable web search for additional context
includeSubdomainsNoInclude subdomains in extraction

Implementation Reference

  • Main execution handler for firecrawl_extract tool. Validates arguments, calls Firecrawl client.extract with parameters and retry logic, processes response including credits and warnings, handles errors with special case for self-hosted instances.
    case 'firecrawl_extract': { if (!isExtractOptions(args)) { throw new Error('Invalid arguments for firecrawl_extract'); } try { const extractStartTime = Date.now(); server.sendLoggingMessage({ level: 'info', data: `Starting extraction for URLs: ${args.urls.join(', ')}`, }); // Log if using self-hosted instance if (FIRECRAWL_API_URL) { server.sendLoggingMessage({ level: 'info', data: 'Using self-hosted instance for extraction', }); } const extractResponse = await withRetry( async () => client.extract(args.urls, { prompt: args.prompt, systemPrompt: args.systemPrompt, schema: args.schema, allowExternalLinks: args.allowExternalLinks, enableWebSearch: args.enableWebSearch, includeSubdomains: args.includeSubdomains, origin: 'mcp-server', } as ExtractParams), 'extract operation' ); // Type guard for successful response if (!('success' in extractResponse) || !extractResponse.success) { throw new Error(extractResponse.error || 'Extraction failed'); } const response = extractResponse as ExtractResponse; // Monitor credits for cloud API if (!FIRECRAWL_API_URL && hasCredits(response)) { await updateCreditUsage(response.creditsUsed || 0); } // Log performance metrics server.sendLoggingMessage({ level: 'info', data: `Extraction completed in ${Date.now() - extractStartTime}ms`, }); // Add warning to response if present const result = { content: [ { type: 'text', text: JSON.stringify(response.data, null, 2), }, ], isError: false, }; if (response.warning) { server.sendLoggingMessage({ level: 'warning', data: response.warning, }); } return result; } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); // Special handling for self-hosted instance errors if ( FIRECRAWL_API_URL && errorMessage.toLowerCase().includes('not supported') ) { server.sendLoggingMessage({ level: 'error', data: 'Extraction is not supported by this self-hosted instance', }); return { content: [ { type: 'text', text: 'Extraction is not supported by this self-hosted instance. Please ensure LLM support is configured.', }, ], isError: true, }; } return { content: [{ type: 'text', text: errorMessage }], isError: true, }; } }
  • Tool schema definition for firecrawl_extract, including input validation schema with properties for urls, prompts, schema, and extraction options.
    const EXTRACT_TOOL: Tool = { name: 'firecrawl_extract', description: 'Extract structured information from web pages using LLM. ' + 'Supports both cloud AI and self-hosted LLM extraction.', inputSchema: { type: 'object', properties: { urls: { type: 'array', items: { type: 'string' }, description: 'List of URLs to extract information from', }, prompt: { type: 'string', description: 'Prompt for the LLM extraction', }, systemPrompt: { type: 'string', description: 'System prompt for LLM extraction', }, schema: { type: 'object', description: 'JSON schema for structured data extraction', }, allowExternalLinks: { type: 'boolean', description: 'Allow extraction from external links', }, enableWebSearch: { type: 'boolean', description: 'Enable web search for additional context', }, includeSubdomains: { type: 'boolean', description: 'Include subdomains in extraction', }, }, required: ['urls'], }, };
  • src/index.ts:862-874 (registration)
    Registration of firecrawl_extract tool (as EXTRACT_TOOL) in the list of available tools returned by ListToolsRequestSchema handler.
    server.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: [ SCRAPE_TOOL, MAP_TOOL, CRAWL_TOOL, BATCH_SCRAPE_TOOL, CHECK_BATCH_STATUS_TOOL, CHECK_CRAWL_STATUS_TOOL, SEARCH_TOOL, EXTRACT_TOOL, DEEP_RESEARCH_TOOL, ], }));
  • Type guard helper function to validate input arguments for firecrawl_extract tool, ensuring urls is a non-empty array of strings.
    function isExtractOptions(args: unknown): args is ExtractArgs { if (typeof args !== 'object' || args === null) return false; const { urls } = args as { urls?: unknown }; return ( Array.isArray(urls) && urls.every((url): url is string => typeof url === 'string') ); }
  • TypeScript interfaces defining parameters, arguments, and response for the firecrawl_extract tool operations.
    // Add after other interfaces interface ExtractParams<T = any> { prompt?: string; systemPrompt?: string; schema?: T | object; allowExternalLinks?: boolean; enableWebSearch?: boolean; includeSubdomains?: boolean; origin?: string; } interface ExtractArgs { urls: string[]; prompt?: string; systemPrompt?: string; schema?: object; allowExternalLinks?: boolean; enableWebSearch?: boolean; includeSubdomains?: boolean; origin?: string; } interface ExtractResponse<T = any> { success: boolean; data: T; error?: string; warning?: string; creditsUsed?: number; }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mcma123/firecrawl-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server