# PyScrappy

> PyScrappy — mldsveda-pyscrappy. Use this tool when you need to extract structured web data from various online sources, such as search, finance, e-commerce, and reference websites, and convert it into validated JSON format for AI agents. PyScrappy solves data extraction problems by providing 22 tools to fetch data from any URL, making it a versatile solution for web scraping tasks. It takes URLs as input and outputs validated JSON data, making it ideal for use cases where AI agents require structured web data.

Canonical page: https://skillsregistry.net/skills/mldsveda-pyscrappy  
JSON: https://api.skillsregistry.net/v1/skills/mldsveda-pyscrappy

## Description

A Python web-scraping toolkit that exposes 22 tools for fetching structured web data (from any URL to search, finance, e-commerce, and reference sources) as validated JSON for AI agents.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hose8lur3i)
- **Repository:** <https://github.com/mldsveda/PyScrappy>

## 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": "mldsveda-pyscrappy"
    }
  }
}
```

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