# find-emails

> find-emails — lukem121-find-emails. Use this tool when you need to extract contact emails from websites, as it crawls local websites using crawl4ai and provides the extracted email addresses as output, solving the problem of manual email searching for various use cases such as sales, marketing, and research. It takes website data as input and returns a list of extracted emails. Use it when you require automated email extraction from local websites for efficient contact information gathering.

Canonical page: https://skillsregistry.net/skills/lukem121-find-emails  
JSON: https://api.skillsregistry.net/v1/skills/lukem121-find-emails

## Description

Crawl websites locally with crawl4ai to extract contact emails.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/lukem121-find-emails)

## 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": "lukem121-find-emails"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lukem121-find-emails` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lukem121-find-emails/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