# lookacrawler

> lookacrawler — lucasmartins-ai-lookacrawler. Use this tool when you need to efficiently crawl and process large amounts of data for large language models (LLMs) with reduced token usage. Lookacrawler solves the problem of high token costs associated with data crawling and processing, offering a free and open-source alternative with native MCP Server support. It accepts git repositories as input and provides efficient, token-reduced output for LLMs, making it ideal for applications requiring massive data processing.

Canonical page: https://skillsregistry.net/skills/lucasmartins-ai-lookacrawler  
JSON: https://api.skillsregistry.net/v1/skills/lucasmartins-ai-lookacrawler

## Description

Free, open-source, token-efficient local alternative to Firecrawl with native MCP Server for LLMs (>73% token reduction).

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lucasmartins-ai/lookacrawler)

## 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": "lucasmartins-ai-lookacrawler"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucasmartins-ai-lookacrawler` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucasmartins-ai-lookacrawler/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