# acrawl

> Use this tool when you need to automate web scraping tasks with precision and stealth, solving problems such as data extraction and monitoring. It takes in URLs and goals as inputs and outputs extracted data, utilizing a range of browser tools and LLM support. Ideal for use cases requiring efficient and autonomous web crawling, such as market research and competitive analysis.

Canonical page: https://skillsregistry.net/skills/mingye-lu-agenticcrawler  
JSON: https://api.skillsregistry.net/v1/skills/mingye-lu-agenticcrawler

## Description

Autonomous LLM-powered web crawler with 17 browser tools and goal-driven agent. Single Rust binary with stealth browsing, provider-agnostic LLM support, and built-in MCP server.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zip7jqvbs6)
- **Repository:** <https://github.com/Mingye-Lu/AgenticCrawler>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mingye-lu-agenticcrawler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mingye-lu-agenticcrawler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mingye-lu-agenticcrawler/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt