Skip to main content
Glama

firecrawl_scrape

Extract webpage content in multiple formats including markdown and HTML, execute actions like clicking or scrolling, and filter specific elements for precise data collection.

Instructions

Scrape a single webpage with advanced options for content extraction. Supports various formats including markdown, HTML, and screenshots. Can execute custom actions like clicking or scrolling before scraping.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL to scrape
formatsNoContent formats to extract (default: ['markdown'])
onlyMainContentNoExtract only the main content, filtering out navigation, footers, etc.
includeTagsNoHTML tags to specifically include in extraction
excludeTagsNoHTML tags to exclude from extraction
waitForNoTime in milliseconds to wait for dynamic content to load
timeoutNoMaximum time in milliseconds to wait for the page to load
actionsNoList of actions to perform before scraping
extractNoConfiguration for structured data extraction
mobileNoUse mobile viewport
skipTlsVerificationNoSkip TLS certificate verification
removeBase64ImagesNoRemove base64 encoded images from output
locationNoLocation settings for scraping

Implementation Reference

  • Main execution logic for firecrawl_scrape: validates args, scrapes URL using Firecrawl client, formats output by requested formats, handles errors.
    case 'firecrawl_scrape': { if (!isScrapeOptions(args)) { throw new Error('Invalid arguments for firecrawl_scrape'); } const { url, ...options } = args; try { const scrapeStartTime = Date.now(); safeLog( 'info', `Starting scrape for URL: ${url} with options: ${JSON.stringify(options)}` ); const response = await client.scrapeUrl(url, { ...options, // @ts-expect-error Extended API options including origin origin: 'mcp-server', }); // Log performance metrics safeLog( 'info', `Scrape completed in ${Date.now() - scrapeStartTime}ms` ); if ('success' in response && !response.success) { throw new Error(response.error || 'Scraping failed'); } // Format content based on requested formats const contentParts = []; if (options.formats?.includes('markdown') && response.markdown) { contentParts.push(response.markdown); } if (options.formats?.includes('html') && response.html) { contentParts.push(response.html); } if (options.formats?.includes('rawHtml') && response.rawHtml) { contentParts.push(response.rawHtml); } if (options.formats?.includes('links') && response.links) { contentParts.push(response.links.join('\n')); } if (options.formats?.includes('screenshot') && response.screenshot) { contentParts.push(response.screenshot); } if (options.formats?.includes('extract') && response.extract) { contentParts.push(JSON.stringify(response.extract, null, 2)); } // If options.formats is empty, default to markdown if (!options.formats || options.formats.length === 0) { options.formats = ['markdown']; } // Add warning to response if present if (response.warning) { safeLog('warning', response.warning); } return { content: [ { type: 'text', text: trimResponseText( contentParts.join('\n\n') || 'No content available' ), }, ], isError: false, }; } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); return { content: [{ type: 'text', text: trimResponseText(errorMessage) }], isError: true, }; } }
  • Input schema definition for firecrawl_scrape tool, detailing parameters like url, formats, actions, extraction options.
    const SCRAPE_TOOL: Tool = { name: 'firecrawl_scrape', description: 'Scrape a single webpage with advanced options for content extraction. ' + 'Supports various formats including markdown, HTML, and screenshots. ' + 'Can execute custom actions like clicking or scrolling before scraping.', inputSchema: { type: 'object', properties: { url: { type: 'string', description: 'The URL to scrape', }, formats: { type: 'array', items: { type: 'string', enum: [ 'markdown', 'html', 'rawHtml', 'screenshot', 'links', 'screenshot@fullPage', 'extract', ], }, default: ['markdown'], description: "Content formats to extract (default: ['markdown'])", }, onlyMainContent: { type: 'boolean', description: 'Extract only the main content, filtering out navigation, footers, etc.', }, includeTags: { type: 'array', items: { type: 'string' }, description: 'HTML tags to specifically include in extraction', }, excludeTags: { type: 'array', items: { type: 'string' }, description: 'HTML tags to exclude from extraction', }, waitFor: { type: 'number', description: 'Time in milliseconds to wait for dynamic content to load', }, timeout: { type: 'number', description: 'Maximum time in milliseconds to wait for the page to load', }, actions: { type: 'array', items: { type: 'object', properties: { type: { type: 'string', enum: [ 'wait', 'click', 'screenshot', 'write', 'press', 'scroll', 'scrape', 'executeJavascript', ], description: 'Type of action to perform', }, selector: { type: 'string', description: 'CSS selector for the target element', }, milliseconds: { type: 'number', description: 'Time to wait in milliseconds (for wait action)', }, text: { type: 'string', description: 'Text to write (for write action)', }, key: { type: 'string', description: 'Key to press (for press action)', }, direction: { type: 'string', enum: ['up', 'down'], description: 'Scroll direction', }, script: { type: 'string', description: 'JavaScript code to execute', }, fullPage: { type: 'boolean', description: 'Take full page screenshot', }, }, required: ['type'], }, description: 'List of actions to perform before scraping', }, extract: { type: 'object', properties: { schema: { type: 'object', description: 'Schema for structured data extraction', }, systemPrompt: { type: 'string', description: 'System prompt for LLM extraction', }, prompt: { type: 'string', description: 'User prompt for LLM extraction', }, }, description: 'Configuration for structured data extraction', }, mobile: { type: 'boolean', description: 'Use mobile viewport', }, skipTlsVerification: { type: 'boolean', description: 'Skip TLS certificate verification', }, removeBase64Images: { type: 'boolean', description: 'Remove base64 encoded images from output', }, location: { type: 'object', properties: { country: { type: 'string', description: 'Country code for geolocation', }, languages: { type: 'array', items: { type: 'string' }, description: 'Language codes for content', }, }, description: 'Location settings for scraping', }, }, required: ['url'], }, };
  • src/index.ts:960-973 (registration)
    Registers the firecrawl_scrape tool (as SCRAPE_TOOL) in the list of available tools for ListToolsRequest.
    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, GENERATE_LLMSTXT_TOOL, ], }));
  • Type guard helper function to validate input arguments for the firecrawl_scrape handler.
    function isScrapeOptions( args: unknown ): args is ScrapeParams & { url: string } { return ( typeof args === 'object' && args !== null && 'url' in args && typeof (args as { url: unknown }).url === 'string' ); }

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/Krieg2065/firecrawl-mcp-server'

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