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scrape_html

Extract structured data from web pages including text, links, and images by providing a URL. This tool helps automate content collection for analysis, research, or integration workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
extractTextNo
extractLinksNo
extractImagesNo

Implementation Reference

  • The main execution handler for the 'scrape_html' tool. Fetches HTML from the given URL, extracts specified content (text, links, images), and returns JSON-structured results wrapped in MCP content format.
    async ({ url, extractText, extractLinks, extractImages }) => {
      return wrapToolExecution(async () => {
        const response = await fetch(url);
        if (!response.ok) {
          throw new Error(`HTTP ${response.status}: ${response.statusText}`);
        }
    
        const html = await response.text();
        const results = extractHtmlContent(html, extractText, extractLinks, extractImages);
    
        return {
          content: [{
            type: "text" as const,
            text: JSON.stringify(results, null, 2)
          }],
          metadata: {
            url,
            extracted: {
              text: extractText,
              links: extractLinks,
              images: extractImages
            }
          }
        };
      }, {
        errorCode: ERROR_CODES.HTTP_REQUEST,
        context: "Failed to scrape HTML"
      });
    }
  • Input schema using Zod validation for the tool parameters: required 'url', optional flags for extracting text, links, and images with defaults from constants.
    {
      url: z.string().url("Valid URL is required"),
      extractText: z.boolean().optional().default(DEFAULTS.EXTRACT_TEXT),
      extractLinks: z.boolean().optional().default(DEFAULTS.EXTRACT_LINKS),
      extractImages: z.boolean().optional().default(DEFAULTS.EXTRACT_IMAGES)
    },
  • Function that registers the 'scrape_html' tool with the MCP server by calling server.tool() with the tool name, input schema, and handler function.
    function registerScrapeHtml(server: McpServer): void {
      server.tool("scrape_html",
        {
          url: z.string().url("Valid URL is required"),
          extractText: z.boolean().optional().default(DEFAULTS.EXTRACT_TEXT),
          extractLinks: z.boolean().optional().default(DEFAULTS.EXTRACT_LINKS),
          extractImages: z.boolean().optional().default(DEFAULTS.EXTRACT_IMAGES)
        },
        async ({ url, extractText, extractLinks, extractImages }) => {
          return wrapToolExecution(async () => {
            const response = await fetch(url);
            if (!response.ok) {
              throw new Error(`HTTP ${response.status}: ${response.statusText}`);
            }
    
            const html = await response.text();
            const results = extractHtmlContent(html, extractText, extractLinks, extractImages);
    
            return {
              content: [{
                type: "text" as const,
                text: JSON.stringify(results, null, 2)
              }],
              metadata: {
                url,
                extracted: {
                  text: extractText,
                  links: extractLinks,
                  images: extractImages
                }
              }
            };
          }, {
            errorCode: ERROR_CODES.HTTP_REQUEST,
            context: "Failed to scrape HTML"
          });
        }
      );
    }
  • Core helper function that orchestrates HTML content extraction based on boolean flags, calling specialized extractors for text, links, and images.
    function extractHtmlContent(
      html: string,
      extractText: boolean,
      extractLinks: boolean,
      extractImages: boolean
    ): HtmlExtraction {
      const results: HtmlExtraction = {};
    
      if (extractText) {
        results.text = extractTextFromHtml(html);
      }
    
      if (extractLinks) {
        results.links = extractLinksFromHtml(html);
      }
    
      if (extractImages) {
        results.images = extractImagesFromHtml(html);
      }
    
      return results;
    }
  • src/index.ts:66-66 (registration)
    Top-level call to registerWebTools(server), which in turn calls registerScrapeHtml to register the scrape_html tool.
    registerWebTools(server);
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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