# crw

> crw — fastcrw-crw. Use this tool when you need to quickly scrape and crawl websites, or perform searches with a lightweight and efficient API. It solves problems of slow data extraction and high resource usage, offering a fast and scalable solution for AI agents. With a drop-in compatible API and minimal resource requirements, it's ideal for self-hosted or cloud-based applications requiring rapid web data processing.

Canonical page: https://skillsregistry.net/skills/fastcrw-crw  
JSON: https://api.skillsregistry.net/v1/skills/fastcrw-crw

## Description

Fast, lightweight Firecrawl/Tavily alternative in Rust. Web scraper, crawler & search API with MCP server for AI agents. Drop-in Firecrawl-compatible API (/scrape, /crawl, /search). 2.3x faster than Tavily, 1.5x faster than Firecrawl in 1K-URL benchmarks. 6 MB RAM, single binary. Self-host or use managed cloud.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/fastcrw/crw)

## 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": "fastcrw-crw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastcrw-crw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastcrw-crw/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