# Guess a decision-maker's email address for cold outreach

**Use case:** 

Give a name and company domain from a job post or LinkedIn and get ranked email candidates plus a live mail-route check. Dead domains are never charged.

## Input

```json
{
  "people": [
    "Jane Doe, google.com"
  ],
  "testRun": false,
  "onlyFound": false,
  "includeKeywords": [],
  "excludeKeywords": [],
  "columns": [
    "firstName",
    "lastName",
    "domain",
    "hasMailRoute",
    "mostLikelyEmail",
    "mostLikelyPattern",
    "candidateEmails",
    "candidateCount",
    "mailboxVerified"
  ],
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "query": {
    "label": "Person + domain submitted",
    "format": "string"
  },
  "found": {
    "label": "Found?",
    "format": "boolean"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "message": {
    "label": "Details",
    "format": "string"
  },
  "firstName": {
    "label": "First name",
    "format": "text"
  },
  "lastName": {
    "label": "Last name",
    "format": "text"
  },
  "domain": {
    "label": "Company domain",
    "format": "text"
  },
  "hasMailRoute": {
    "label": "Domain accepts mail",
    "format": "boolean"
  },
  "mostLikelyEmail": {
    "label": "Most likely email",
    "format": "text"
  },
  "mostLikelyPattern": {
    "label": "Most likely pattern",
    "format": "text"
  },
  "candidateEmails": {
    "label": "Candidate emails",
    "format": "text"
  },
  "candidateCount": {
    "label": "Candidate count",
    "format": "number"
  },
  "mailboxVerified": {
    "label": "Mailbox verified",
    "format": "boolean"
  },
  "scrapedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Email Pattern Finder](https://apify.com/accountable_eel/email-pattern-finder.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/accountable_eel/email-pattern-finder.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/accountable_eel/email-pattern-finder.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).