# Crawlio Browser

> Use this tool when you need to automate browser interactions for data extraction, testing, or scraping, and leverage its 100+ tools for tasks like screenshots, DOM inspection, and form filling. It solves problems such as automating repetitive browser tasks, extracting structured data, and capturing network traffic. With a simple interface via a Chrome extension, it outputs structured data and supports integration with git and 14 MCP clients.

Canonical page: https://skillsregistry.net/skills/rashidazarang-crawlio-browser  
JSON: https://api.skillsregistry.net/v1/skills/rashidazarang-crawlio-browser

## Description

100-tool browser automation for AI agents via Chrome extension. Screenshots, DOM inspection, network capture, form filling, session recording, structured data extraction. npx crawlio-browser init auto-configures 14 MCP clients.

## 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:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/rashidazarang/crawlio-browser)

## 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": "rashidazarang-crawlio-browser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rashidazarang-crawlio-browser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rashidazarang-crawlio-browser/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