# youtube-channel-email-extractor

> Use this tool when you need to extract email addresses from YouTube channel comments or descriptions to build a mailing list or contact creators. It solves the problem of manually searching for and collecting email addresses from YouTube channels, saving time and effort. The tool takes YouTube channel URLs or comments as input and outputs a list of extracted email addresses.

Canonical page: https://skillsregistry.net/skills/khadin-akbar-youtube-channel-email-extractor  
JSON: https://api.skillsregistry.net/v1/skills/khadin-akbar-youtube-channel-email-extractor

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** communication
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/khadin-akbar/youtube-channel-email-extractor)

## 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": "khadin-akbar-youtube-channel-email-extractor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/khadin-akbar-youtube-channel-email-extractor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/khadin-akbar-youtube-channel-email-extractor/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