# Browser Scraping & Search

> Use this tool when you need to extract information from websites, search the internet, or interact with local files, and want to automate web data extraction, content summarization, and file manipulation tasks within an AI assistant environment. It takes in website URLs, search queries, and file paths as inputs and returns scraped web content, search results, and file data as outputs. Ideal for use cases requiring web scraping, content retrieval, and file management, this tool streamlines tasks through a FastMCP interface.

Canonical page: https://skillsregistry.net/skills/raghu6798-browser-scrape  
JSON: https://api.skillsregistry.net/v1/skills/raghu6798-browser-scrape

## Description

Browser_scrape_mcp is a web scraping and content retrieval tool that enables AI assistants to extract information from websites, search the internet, and interact with local files. Built with Playwright and integrated with Firecrawl and Tavily search services, this implementation provides tools for scraping web content, searching online, and managing local file systems. The server exposes functionality through a FastMCP interface, making it particularly valuable for use cases requiring web data extraction, content summarization, and file manipulation without leaving the AI assistant environment.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/raghu6798-browser-scrape)
- **Repository:** <https://github.com/raghu6798/browser_scrape_mcp>

## 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": "raghu6798-browser-scrape"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raghu6798-browser-scrape` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raghu6798-browser-scrape/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