PulseAugur
EN
LIVE 20:45:29

LLMs can now scrape web data locally using Fitter's config-based engine

Fitter is a new Go-based engine designed to enable Large Language Models (LLMs) to scrape web data locally and efficiently. Instead of generating one-off code or hallucinating information, LLMs can now create reusable configuration files in JSON or YAML that Fitter executes. This approach allows for web extraction to be treated as a configuration task rather than a coding one, with LLMs authoring these configurations via an MCP server, enabling tools like Claude Code and Claude Desktop to integrate web scraping directly into conversations. AI

IMPACT Enables LLMs to directly and efficiently extract real-time data from websites, reducing hallucinations and the need for custom code.

RANK_REASON This is a new tool release that integrates LLMs with web scraping capabilities.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs can now scrape web data locally using Fitter's config-based engine

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Iurii Panarin ·

    Your LLM can scrape the web — locally, without writing throwaway code

    <p>Every time you ask an AI assistant to "get data from this website", one of two things happens: it hallucinates the data, or it writes a one-off Python script you'll never run again. Both are wasteful. The model already knows <em>where</em> the data lives and <em>how</em> to se…