# foundrynet-scrape

> Use this tool when you need to extract relevant data from web pages, as it solves the problem of obtaining clean and structured content from unstructured online sources. The foundrynet-scrape tool takes in a web page URL as input and outputs structured data, making it a useful interface for AI agents. It is particularly useful in contexts where web scraping is necessary, such as data mining, research, or monitoring online content.

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

## Description

Enables AI agents to extract clean, structured content from any web page via a pay-per-call API or with a Forge key.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **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/imbs2wk186)
- **Repository:** <https://github.com/FoundryNet/foundrynet-scrape>

## 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": "foundrynet-foundrynet-scrape"
    }
  }
}
```

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