# OmniScrape MCP

> OmniScrape MCP — hasnat-gpu-omniscrape. Use this tool when you need to extract specific data from websites without manual effort, as it solves the problem of tedious data copying by allowing you to highlight and scrape elements directly from web pages, with input being webpage elements and output being scraped data in a usable format. It is ideal for use cases where automated data extraction is required, such as data mining, research, or monitoring website updates. The OmniScrape MCP tool provides a user-friendly interface for scraping data, making it accessible for general use.

Canonical page: https://skillsregistry.net/skills/hasnat-gpu-omniscrape  
JSON: https://api.skillsregistry.net/v1/skills/hasnat-gpu-omniscrape

## Description

A free, open-source point-and-click web scraper that connects your browser to Claude over the Model Context Protocol, allowing you to highlight elements on any page and scrape them without manual copying.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gyzemmmr3w)
- **Repository:** <https://github.com/Hasnat-GPU/omniscrape>

## 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": "hasnat-gpu-omniscrape"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hasnat-gpu-omniscrape` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hasnat-gpu-omniscrape/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