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PavelHopson
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eclipse-claw

Fetch and extract structured data from bot-protected URLs.

1|Updated Apr 6, 2026
Search Tags:#MCP#LLM#ai-agents#web-scraping#antibot
One-click install
npx skills add https://github.com/PavelHopson/Eclipse-Claw --skill eclipse-claw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eclipse-claw
Source: https://github.com/PavelHopson/Eclipse-Claw/tree/main
Command: npx skills add https://github.com/PavelHopson/Eclipse-Claw --skill eclipse-claw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Eclipse Claw solves the challenge of reliably fetching content from bot-protected websites by bypassing common protections and returning clean, structured data suitable for AI workflows.

Core Features & Use Cases

  • Bot-protected site access: automatic antibot bypass for Cloudflare, DataDome, and similar protections to retrieve page content.
  • LLM-optimized outputs: supports Markdown, plain text, JSON, and LLM-friendly formats for efficient ingestion by AI models.
  • MCP for AI agents: exposes tools such as scrape, crawl, map, batch, extract, summarize, diff, brand, and research for seamless agent integration.
  • Use Case Scenarios: extract product data, pricing tables, or perform deep multi-source research across protected or JS-rendered pages.

Quick Start

Use the skill to enable AI agents to access web content reliably and extract structured results from any URL.

Frequently Asked Questions about eclipse-claw

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scrape data from a website protected by Cloudflare or DataDome?▼

To scrape Cloudflare or DataDome protected sites, use an antibot bypass tool that retrieves clean, structured data. This approach automatically handles common bot protections to fetch page content from URLs that block standard requests.

What is the best way to extract web content for LLM and AI agent ingestion?▼

The best way to extract web content for LLM ingestion is using tools that output LLM-optimized formats like Markdown, plain text, or JSON. This ensures AI models can efficiently process the retrieved data without manual cleaning.

Can I use MCP to integrate web scraping directly into my AI agents?▼

Yes, you can use MCP to integrate web scraping into AI agents by exposing tools like scrape, crawl, map, and extract. This allows seamless agent integration for retrieving and summarizing web content automatically.

Does web scraping for AI workflows support local extraction and cloud fallback?▼

Yes, reliable web scraping for AI workflows can support both local and cloud-backed extraction with optional API-driven cloud fallback. This satisfies requirements for data islands and ensures content retrieval from various protected sources.

What are the limitations of bypassing antibot protections for web crawling?▼

Limitations of bypassing antibot protections include potential blocks from advanced protections and rendering issues on heavy JS pages. While it handles Cloudflare and DataDome, highly dynamic content may still require specialized extraction logic.

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