# Bulk Email Finder with Email Verification. (No Platform Fee) (`scalelist/email-finder`) Actor

Find verified business emails using first name, last name, and company name or company domain. Email verification is included in the output.

- **URL**: https://apify.com/scalelist/email-finder.md
- **Developed by:** [Scalelist](https://apify.com/scalelist) (community)
- **Categories:** Lead generation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Bulk Email Finder by Scalelist

Find verified business emails for any list of leads using full name and company name or domain.

All emails found are verified twice. "Valid" means they are safe to use, "Risky" means they are catch\_all or unverifiable.

Powered by Scalelist — the email and phone finder used by over 30,000 users on the Scalelist web app every day.

### How it works

You provide a list of leads, matched one of two ways:

- **`first_name` + `last_name` + `company_domain`** *(preferred — better match rate)*
- **`first_name` + `last_name` + `company_name`**

### Input

| Field | Required | Description |
| --- | --- | --- |
| `leads[].first_name` | ✅ | Lead's first name |
| `leads[].last_name` | ✅ | Lead's last name |
| `leads[].company_domain` | Recommended | e.g. `acmecorp.com` — better match rate than company name |
| `leads[].company_name` | Optional | Use if domain is unknown |

#### Example input

```json
{
  "leads": [
    {
      "first_name": "Sarah",
      "last_name": "Chen",
      "company_domain": "acmecorp.com",
      "company_name": "Acme Corp"
    },
    {
      "first_name": "Maria",
      "last_name": "Silva",
      "company_domain": "globex.com"
    },
    {
      "first_name": "John",
      "last_name": "Doe",
      "company_name": "Some Company"
    }
  ]
}
```

### Output

One row is written to the Apify Dataset for every lead — giving you a complete record of the run.

| Field | Type | Description |
| --- | --- | --- |
| `first_name` | string | Lead's first name |
| `last_name` | string | Lead's last name |
| `company_domain` | string | null | Company domain used for the lookup |
| `company_name` | string | null | Company name used for the lookup |
| `email` | string | null | Found email address. `null` if not found |
| `email_status` | string | `Valid` · `Risky` · `Not found` · `Lookup failed` · `Timeout` · `Submit failed` |
| `found` | boolean | `true` if an email was found |

#### Example output rows

**Found (Valid):**

```json
{
  "first_name": "Sarah",
  "last_name": "Chen",
  "company_domain": "acmecorp.com",
  "email": "sarah.chen@acmecorp.com",
  "email_status": "Valid",
  "found": true
}
```

**Found (Risky):**

```json
{
  "first_name": "John",
  "last_name": "Doe",
  "company_domain": null,
  "email": "john.doe@somecompany.com",
  "email_status": "Risky",
  "found": true
}
```

### Error handling

| Situation | Behaviour |
| --- | --- |
| Missing `first_name` or `last_name` | Lead is skipped with a warning; others continue |
| Missing company domain and name | Lead is skipped with a warning; others continue |
| Rate limit (429) | Exponential backoff, up to 5 automatic retries |
| Batch submit error | Batch skipped, placeholder rows written, run continues |
| Spend cap reached | Actor stops cleanly; remaining leads are not submitted |
| Actor timeout | Actor stops before submitting batches it can't retrieve results for |

### Support

- [Scalelist Website](https://scalelist.com)
- [Scalelist Support](mailto:hello@scalelist.com)

# Actor input Schema

## `leads` (type: `array`):

Each lead needs first\_name + last\_name + company\_domain (preferred) or company\_name.

## Actor input object example

```json
{
  "leads": [
    {
      "first_name": "Arnaud",
      "last_name": "Renoux",
      "company_domain": "scalelist.com",
      "company_name": "Scalelist"
    },
    {
      "first_name": "Youssef",
      "last_name": "El Kaddioui",
      "company_domain": "scalelist.com",
      "company_name": "Scalelist"
    }
  ]
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {
    "leads": [
        {
            "first_name": "Arnaud",
            "last_name": "Renoux",
            "company_domain": "scalelist.com",
            "company_name": "Scalelist"
        },
        {
            "first_name": "Youssef",
            "last_name": "El Kaddioui",
            "company_domain": "scalelist.com",
            "company_name": "Scalelist"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scalelist/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 = { "leads": [
        {
            "first_name": "Arnaud",
            "last_name": "Renoux",
            "company_domain": "scalelist.com",
            "company_name": "Scalelist",
        },
        {
            "first_name": "Youssef",
            "last_name": "El Kaddioui",
            "company_domain": "scalelist.com",
            "company_name": "Scalelist",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("scalelist/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 '{
  "leads": [
    {
      "first_name": "Arnaud",
      "last_name": "Renoux",
      "company_domain": "scalelist.com",
      "company_name": "Scalelist"
    },
    {
      "first_name": "Youssef",
      "last_name": "El Kaddioui",
      "company_domain": "scalelist.com",
      "company_name": "Scalelist"
    }
  ]
}' |
apify call scalelist/email-finder --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zhc5lDsqIOz2xvHzX/builds/FNI6KWZ8XMEg9fYw0/openapi.json