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Grimm: Agentic Crawling made easy - Cloudflare Crawl API, Chrome Dev Tools MCP & Firehose/Ahrefs

  • 16. März
  • 2 Min. Lesezeit

Key Takeaways:

Grimm: Agentic Crawling made easy - Cloudflare Crawl API, Chrome Dev Tools MCP & Firehose/Ahrefs

  • Grimm on next level crawling possibilities for Agents:

    • Cloudflare /crawl REST API offers crawling based on Cloudflare infrastructure: "𝗖𝗹𝗼𝘂𝗱𝗳𝗹𝗮𝗿𝗲 𝗷𝘂𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗱𝗶𝘁𝗶𝘇𝗲𝗱 𝘄𝗲𝗯 𝗰𝗿𝗮𝘄𝗹𝗶𝗻𝗴"

      • REST API with POST request to initiate crawl and GET to retrieve results

      • Sitemap or Spider crawl mode

      • Javascript rendering in headless browser

      • Result as HTML, markdown or JSON with using a prompt against the crawled pages

      • incremental crawling (only crawl changes)

      • further options even include authentication

      • currently allows 5 crawls per day on the free plan

    • Chrome Dev Tools MCP: Your coding agent can now attach to a live Chrome session

      • 𝚌𝚑𝚛𝚘𝚖𝚎://𝚒𝚗𝚜𝚙𝚎𝚌𝚝/Hashtag#𝚛𝚎𝚖𝚘𝚝𝚎-𝚍𝚎𝚋𝚞𝚐𝚐𝚒𝚗𝚐 - one toggle in Chrome 146+, configure --𝚊𝚞𝚝𝚘𝙲𝚘𝚗𝚗𝚎𝚌𝚝, and your coding agent has a structured live connection to Chrome

      • Use cases:

        • you spot a failing network request in the Network panel, select it, hand it directly to your agent

        • The agent reads the page via accessibility tree - structured element IDs

        • Claude Code, Cursor, gemini-cli, Copilot all supported - via 26 discrete MCP tools covering automation, debugging, and performance analysis: 𝚝𝚊𝚔𝚎_𝚜𝚗𝚊𝚙𝚜𝚑𝚘𝚝, 𝚌𝚕𝚒𝚌𝚔, 𝚗𝚊𝚟𝚒𝚐𝚊𝚝𝚎, 𝚗𝚎𝚝𝚠𝚘𝚛𝚔_𝚛𝚎𝚚𝚞𝚎𝚜𝚝, 𝚙𝚎𝚛𝚏𝚘𝚛𝚖𝚊𝚗𝚌𝚎_𝚜𝚝𝚊𝚛𝚝_𝚝𝚛𝚊𝚌𝚎 and more. Google has announced more panel data coming incrementally.

  • Furthermore, Ahrefs introduced a web streaming API based on their infrastructure called firehose.com

  • Further, Cloudflare added a feature for domains using their service to automatically provide the markdown of a page if "Accept: text/markdown" is added to the request header

  • Grimm sees those developments as major shifts towards an agentic web where agents are enabled to access web pages from an API without mainting heavy infrastructure theirselves



Sources:

© 2026 David Epding.            Erstellt mit Wix.com.

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David Epding ist GEO & SEO, Data Analytics und Automation Manager mit über 10 Jahren Erfahrung in Technischem SEO mit breiter Expertise für LLMs und langjähriger Erfahrung in der Daten-Analyse.

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