# Person Email Finder — Name + Company to Email API (`maximedupre/business-email-finder`) Actor

Enter a named person and known company domain or website. Get one pattern-inferred business email, ranked alternatives, confidence, and public MX evidence.

- **URL**: https://apify.com/maximedupre/business-email-finder.md
- **Developed by:** [Maxime Dupré](https://apify.com/maximedupre) (community)
- **Categories:** Lead generation, Business, Automation
- **Stats:** 1 total users, 1 monthly users, 96.4% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$18.00 / 1,000 business emails

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

### 📧 Find likely business emails from a name and company site

Sales, recruiting, and research teams can turn a named person plus a known company domain or website into one pattern-inferred business email, ranked alternatives, confidence, and public MX evidence. Use the candidates for prospect research while keeping the difference between inference and mailbox verification clear.

- **[Business Email Finder](https://apify.com/maximedupre/business-email-finder/examples/business-email-finder)** — infer the highest-ranked business email candidate for a named person at a known company.
- **[Email Finder by Name and Company](https://apify.com/maximedupre/business-email-finder/examples/email-finder-by-name-and-company)** — combine a full name with a company domain or public website URL.
- **[Multiple Person Email Finder](https://apify.com/maximedupre/business-email-finder/examples/multiple-person-email-finder)** — process several named people and company sites independently in one run.
- **[Company Domain Email Finder](https://apify.com/maximedupre/business-email-finder/examples/company-domain-email-finder)** — normalize a supplied company domain before generating candidates.
- **[Business Email Pattern Generator](https://apify.com/maximedupre/business-email-finder/examples/business-email-pattern-generator)** — compare ranked corporate email-pattern alternatives.
- **[MX Record Email Check](https://apify.com/maximedupre/business-email-finder/examples/mx-record-email-check)** — inspect whether the company domain has public mail-routing records.

#### 📦 Returned data

Each successful row contains:

- the supplied `fullName`, optional `companyName`, and `domainInput`
- `normalizedName` and the normalized `domain`
- the highest-ranked `email` candidate and applied `pattern`
- `confidence` and the explicit `patternInferred` email status
- ranked `alternatives` with their patterns
- `domainMail` evidence: MX status, provider when recognizable, consumer-provider flag, and MX records
- `provenance` and `observedAt` for audit context

MX evidence describes the domain. It does not show whether a generated mailbox exists, belongs to the named person, or can receive a message.

#### ▶️ Running the Actor

1. Add one or more people with a full name and company domain or website.
2. Run the Actor.
3. Open the default dataset to review or export the successful inferences.

A person needs a usable first and last name plus a valid bare domain or HTTP(S) website URL.

#### 🧾 Input

`people` is required. Each entry requires `fullName` and `companyDomainOrWebsite`; `companyName` is optional context retained in the output.

```json
{
  "people": [
    {
      "fullName": "Ada Lovelace",
      "companyDomainOrWebsite": "https://example.com/about",
      "companyName": "Example"
    }
  ]
}
```

#### 📤 Output

The default dataset contains one row for each person whose input can produce a pattern-inferred business email. Download rows in supported dataset formats or retrieve them through the Apify API.

```json
{
  "fullName": "Ada Lovelace",
  "normalizedName": "Ada Lovelace",
  "companyName": "Example",
  "domainInput": "https://example.com/about",
  "domain": "example.com",
  "email": "ada.lovelace@example.com",
  "pattern": "first.last",
  "confidence": "high",
  "emailStatus": "patternInferred",
  "alternatives": [
    {
      "rank": 2,
      "email": "adalovelace@example.com",
      "pattern": "firstlast"
    }
  ],
  "domainMail": {
    "mxStatus": "configured",
    "provider": "Google Workspace",
    "consumerProvider": false,
    "mxRecords": [
      {
        "preference": 10,
        "exchange": "aspmx.l.google.com"
      }
    ]
  },
  "provenance": "Pattern inference from submitted name and company site; public DNS MX observation",
  "observedAt": "2026-07-18T12:00:00.000Z"
}
```

#### 💳 Pricing

This Actor uses pay-per-event pricing. The Actor-owned event applies only when one pattern-inferred business email is saved to the default dataset. Invalid inputs and runs with no saved email do not create that paid outcome; Apify platform usage may still apply.

#### 🔌 Integrations

Use Apify datasets, API calls, schedules, webhooks, and platform integrations to send output to spreadsheets, CRMs, databases, or automation workflows.

https://www.youtube.com/watch?v=bNACk1\_S\_6w\&list=PLObrtcm1Kw6MUrlLNDbK9QRg8VDJg0gOW\&index=4

#### ❓ FAQ

##### Does MX status verify the generated mailbox?

No. MX records show whether the domain advertises mail routing. They do not confirm mailbox existence, ownership, or deliverability.

##### Can I provide a company name without its domain?

No. The Actor does not discover company websites from company names. Supply a known domain or public HTTP(S) company website URL.

##### What input should I use for several people at the same company?

Add one `people` entry per named person and repeat the known company domain for each entry.

##### Why are several alternative addresses returned?

The supplied inputs do not reveal a company's actual naming convention. Ranked alternatives show common fallback patterns while keeping that uncertainty visible.

##### Does this replace an SMTP email verifier?

No. This email finder tool generates pattern-based candidates and inspects public domain MX records. Use a separate verifier when you need mailbox-level SMTP evidence.

##### Are third-party data-provider credentials required?

No. Pattern inference and public MX checks use the submitted context and public DNS, without access to private mailboxes or a contact database.

##### How does this differ from contact-database email finder tools?

This Actor applies deterministic corporate email patterns to the name and company site you submit, then adds public DNS evidence. It does not query a third-party contact database or present inferred candidates as verified personal records.

### 📝 Changelog

- 0.1: Initial release.

### 🆘 Support

For issues, questions, or feature requests, [file a ticket](https://console.apify.com/actors/maximedupre~business-email-finder/issues) and I'll fix or implement it in less than 24h 🫡

### 🔗 Related Actors

- [LinkedIn Company People Scraper](https://apify.com/maximedupre/linkedin-company-people-scraper) — collect visible names and roles from a known company's People page before email inference.
- [SMTP Email Verifier](https://apify.com/maximedupre/smtp-email-verifier) — check generated candidates with SMTP-level evidence before outreach.
- [Email MX Verifier](https://apify.com/maximedupre/email-mx-verifier) — assess syntax, MX, provider, and risk signals for email addresses you already have.
- [YouTube Lead Scraper](https://apify.com/maximedupre/youtube-lead-scraper) — find source-backed public creator emails when you do not already know a person's company domain.

**Made with ❤️ by Maxime Dupré**

# Actor input Schema

## `people` (type: `array`):

People to process independently. For each person, provide a full name and the company's domain or website URL; company name is optional context. Public mail-routing evidence is included automatically and does not verify any generated mailbox.

## Actor input object example

```json
{
  "people": [
    {
      "fullName": "Satya Nadella",
      "companyDomainOrWebsite": "https://www.microsoft.com/en-us/about",
      "companyName": "Microsoft"
    },
    {
      "fullName": "Sundar Pichai",
      "companyDomainOrWebsite": "google.com",
      "companyName": "Google"
    }
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

View pattern-inferred business email candidates in the default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "people": [
        {
            "fullName": "Satya Nadella",
            "companyDomainOrWebsite": "https://www.microsoft.com/en-us/about",
            "companyName": "Microsoft"
        },
        {
            "fullName": "Sundar Pichai",
            "companyDomainOrWebsite": "google.com",
            "companyName": "Google"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("maximedupre/business-email-finder").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "people": [
        {
            "fullName": "Satya Nadella",
            "companyDomainOrWebsite": "https://www.microsoft.com/en-us/about",
            "companyName": "Microsoft",
        },
        {
            "fullName": "Sundar Pichai",
            "companyDomainOrWebsite": "google.com",
            "companyName": "Google",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("maximedupre/business-email-finder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "people": [
    {
      "fullName": "Satya Nadella",
      "companyDomainOrWebsite": "https://www.microsoft.com/en-us/about",
      "companyName": "Microsoft"
    },
    {
      "fullName": "Sundar Pichai",
      "companyDomainOrWebsite": "google.com",
      "companyName": "Google"
    }
  ]
}' |
apify call maximedupre/business-email-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=maximedupre/business-email-finder",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZvEKvQCJqKK62tfDq/builds/yiOOleE9w3UgUZ4Bc/openapi.json