# crw

> crw — us-crw. Use this tool when you need to efficiently scrape and crawl the web, or perform searches with a fast and lightweight API. It solves problems of slow web data extraction and provides a drop-in compatible API for Firecrawl users, accepting URL inputs and returning scraped data outputs. Ideal for AI agents requiring rapid web data access, it's particularly useful in applications where speed and low resource usage are critical.

Canonical page: https://skillsregistry.net/skills/us-crw  
JSON: https://api.skillsregistry.net/v1/skills/us-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
- **Category:** browser-automation
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/us/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": "us-crw"
    }
  }
}
```

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

---
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