# Website Email Extractor & Contact Details Scraper (MX-verified) (`exemplary_mezzo/email-contact-extractor`) Actor

Find contact emails, phone numbers and social links from any list of company websites. MX-verified, junk-filtered, lead-scored. For lead generation and AI agents. Pay per site.

- **URL**: https://apify.com/exemplary_mezzo/email-contact-extractor.md
- **Developed by:** [Overwatch Dominion](https://apify.com/exemplary_mezzo) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Website Email Extractor & Contact Details Scraper (MX-verified)

Find contact emails, phone numbers and social profiles for any list of company websites. Built for lead generation, sales prospecting and AI agents that need "find contact emails for these websites". Reads the home page plus contact/about/team/imprint pages (public pages only, respects robots.txt) and checks every email domain for working mail (MX lookup), so you pay for deliverable leads, not junk.

### Why this one

| | This Actor | Typical contact scrapers |
|---|---|---|
| Price | $0.003 per site + $0.002 per MX-verified email | $0.001-$0.04 per row, often charged for empty rows |
| Email quality | MX-verified, junk/image-filename emails dropped, role vs personal tagged, same-domain flag | raw regex matches |
| Output | one row per site with best_email and lead_score 0-100 | one row per page |
| Etiquette | robots.txt respected, own User-Agent | varies |

### Quick try (under $0.01)

Input: `{"startUrls": ["https://apify.com", "https://mozilla.org", "https://example.com"]}`

### Input

- **startUrls**: company websites to scan.
- **maxPagesPerSite**: pages to read per site (default 5).
- **verifyMx**: drop emails whose domain cannot receive mail (default on).

### Sample output (real run)

```json
{"url": "https://apify.com", "domain": "apify.com", "pages_fetched": 5, "best_email": "hello@apify.com",
 "emails": [{"email": "hello@apify.com", "type": "role", "same_domain": true, "mx_ok": true}],
 "phones": [], "socials": {"linkedin": "https://www.linkedin.com/company/apify", "twitter": "https://x.com/apify"},
 "lead_score": 84, "error": null}
```

Download as JSON, CSV or Excel, or call it from an AI agent through Apify's MCP server.

### Call it from code

```bash
curl -X POST "https://api.apify.com/v2/acts/exemplary_mezzo~email-contact-extractor/run-sync-get-dataset-items?token=$APIFY_TOKEN"   -H "Content-Type: application/json" -d '{"startUrls":["https://apify.com"]}'
```

### Pricing (pay per event)

- $0.003 per website scanned
- $0.002 per MX-verified email found

### Notes

Only publicly visible contact details are collected. JavaScript-only sites may return fewer results. You are responsible for using the data in line with applicable privacy and anti-spam laws. Related: [Bluesky Profile Lead Finder](https://apify.com/exemplary_mezzo/bluesky-profile-lead-finder).

# Actor input Schema

## `startUrls` (type: `array`):

Company websites to scan. Each site is one billable result.

## `maxPagesPerSite` (type: `integer`):

Home page plus contact/about/team pages, up to this many.

## `verifyMx` (type: `boolean`):

Drops emails whose domain cannot receive mail.

## Actor input object example

```json
{
  "startUrls": [
    "https://apify.com",
    "https://mozilla.org",
    "https://example.com"
  ],
  "maxPagesPerSite": 5,
  "verifyMx": true
}
```

# Actor output Schema

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

All results as a 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 = {
    "startUrls": [
        "https://apify.com",
        "https://mozilla.org",
        "https://example.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("exemplary_mezzo/email-contact-extractor").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 = { "startUrls": [
        "https://apify.com",
        "https://mozilla.org",
        "https://example.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("exemplary_mezzo/email-contact-extractor").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "startUrls": [
    "https://apify.com",
    "https://mozilla.org",
    "https://example.com"
  ]
}' |
apify call exemplary_mezzo/email-contact-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,exemplary_mezzo/email-contact-extractor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mZPrr4QjXThuSCGul/builds/03lqL2m8DtWkds1Mk/openapi.json