# Only return email guesses that were actually found

**Use case:** 

Guess emails for a list of names and domains, then hide any row with no result, so only confirmed mail route matches show up in your results table.

## Input

```json
{
  "people": [
    "Jane Doe, apify.com",
    "John Smith, airbnb.com",
    "Maria Chen, zendesk.com",
    "Alex Kim, atlassian.com",
    "Laura Martin, github.com",
    "David Brown, salesforce.com",
    "Sara Wong, hubspot.com",
    "Tom Nguyen, figma.com",
    "Elena Garcia, shopify.com",
    "Ryan Clark, microsoft.com",
    "Nina Khan, google.com",
    "Peter Rossi, stripe.com",
    "No Domain Match, thisdomaindoesnotexist12345zz.com",
    "Dead Lead, deaddomain-abc7734kq.net"
  ],
  "testRun": false,
  "onlyFound": true,
  "includeKeywords": [],
  "excludeKeywords": [],
  "verify": true,
  "verifyDepth": "mx",
  "columns": [
    "firstName",
    "lastName",
    "domain",
    "hasMailRoute",
    "mostLikelyEmail",
    "mostLikelyPattern",
    "candidateEmails",
    "candidateCount",
    "mailboxVerified",
    "bestEmail",
    "bestEmailStatus",
    "mxProvider",
    "isCatchAll",
    "confidence",
    "patternsTried"
  ],
  "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": "string"
  },
  "lastName": {
    "label": "Last name",
    "format": "string"
  },
  "domain": {
    "label": "Company domain",
    "format": "string"
  },
  "hasMailRoute": {
    "label": "Domain accepts mail",
    "format": "boolean"
  },
  "mostLikelyEmail": {
    "label": "Most likely email",
    "format": "string"
  },
  "mostLikelyPattern": {
    "label": "Most likely pattern",
    "format": "string"
  },
  "candidateEmails": {
    "label": "Candidate emails",
    "format": "array"
  },
  "candidateCount": {
    "label": "Candidate count",
    "format": "number"
  },
  "mailboxVerified": {
    "label": "Mailbox verified",
    "format": "boolean"
  },
  "bestEmail": {
    "label": "Best email (verified)",
    "format": "string"
  },
  "bestEmailStatus": {
    "label": "Best email status",
    "format": "string"
  },
  "mxProvider": {
    "label": "Mail provider",
    "format": "string"
  },
  "isCatchAll": {
    "label": "Domain is catch-all",
    "format": "boolean"
  },
  "confidence": {
    "label": "Confidence (0-1)",
    "format": "number"
  },
  "patternsTried": {
    "label": "Patterns verified (top 3)",
    "format": "array"
  },
  "scrapedAt": {
    "label": "Checked at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Email Finder by Name and Domain: Company Email Format + Verify](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?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

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

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).