Technology Aug 23, 2026 · 1 min read

How I Built Smart Scraper M2M: A Fast ~30ms Scraper API for AI Agents

Building AI Agents with frameworks like CrewAI or LangChain often hits a bottleneck: heavy, slow web scraping that bloats context windows and increases LLM token costs. To solve this, I built Smart Scraper M2M — a lightweight, high-performance web scraper API designed specifically for machine-to-ma...

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DEV Community
by hasna dev
How I Built Smart Scraper M2M: A Fast ~30ms Scraper API for AI Agents

Building AI Agents with frameworks like CrewAI or LangChain often hits a bottleneck: heavy, slow web scraping that bloats context windows and increases LLM token costs.

To solve this, I built Smart Scraper M2M — a lightweight, high-performance web scraper API designed specifically for machine-to-machine (M2M) communication.

🌟 Key Features

  • ⚡ Ultra-fast: Returns clean structured JSON in ~30ms.
  • 🧠 Context-optimized: Strips out useless HTML/CSS junk so your LLMs process only relevant data.
  • 🤖 Agent-friendly: Built to integrate seamlessly into CrewAI, LangChain, or custom Node.js agents.

🚀 Quick Start

You can test the API or check the full source code directly on GitHub:

🔗 GitHub Repository: https://github.com/MRIGL/smart-scraper-m2m

💬 Feedback & Community

I’m actively improving the API and would love to hear your thoughts, feature requests, or contributions! Feel free to star the repo or leave a comment below.

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This article was originally published by DEV Community and written by hasna dev.

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