# scrapingdog

> scrapingdog — pipeworx-io-mcp-scrapingdog. Use this tool when you need to extract data from websites while avoiding anti-scraping measures and rotating proxies. It solves problems of web data extraction, handling proxy rotation, and bypassing scraping restrictions, providing a simple interface for inputting URLs and retrieving scraped web page data as output. Ideal for use cases requiring large-scale web data collection, such as market research, competitor analysis, or monitoring website changes.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-scrapingdog  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-scrapingdog

## Description

Wraps Scrapingdog, a proxy-based web scraping service, enabling AI agents to scrape web pages through a simple MCP interface.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q857mc3a1v)
- **Repository:** <https://github.com/pipeworx-io/mcp-scrapingdog>

## 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": "pipeworx-io-mcp-scrapingdog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-scrapingdog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-scrapingdog/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