# Deep Email Extractor (`reqiuemos/deep-email-extractor`) Actor

Crawls websites to extract valid email addresses. Perfect for lead generation and cold outreach. Removes duplicates automatically.

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

## Pricing

from $2.00 / 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.

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

## Deep Email Extractor

Automate your lead generation and B2B sales processes. **Deep Email Extractor** is a fast, lightweight, and reliable Apify actor designed to crawl websites and extract valid email addresses hidden across multiple pages.

### Why use this scraper?

Unlike basic scrapers that only check the homepage, this actor performs a "deep crawl". It follows internal links (such as "Contact Us", "About", or "Our Team") up to your specified depth, ensuring you don't miss any valuable contact information.

- **Deep Crawling:** Configurable max depth to explore subpages automatically.
- **Smart Extraction:** Uses robust Regular Expressions to find valid email formats while ignoring image extensions or broken text.
- **Auto-Deduplication:** Automatically removes duplicate emails found on the same page.
- **Clean Export:** Download your ready-to-use dataset in Excel, CSV, JSON, or HTML formats.

### Use Cases

- **B2B Cold Outreach:** Build highly targeted lists of potential clients or partners.
- **Marketing & PR:** Gather contact details of blog owners, journalists, and influencers.
- **Recruitment:** Find direct contact information for HR departments or startup founders.

### How to use

Using this actor is incredibly simple. You only need to provide two main parameters:

1. **Start URLs:** A list of websites you want to scrape
2. **Max Crawl Depth:** How deep the scraper should go.
   - `0` = Scrape only the exact URL provided.
   - `1` = Scrape the start URL + all pages linked directly from it (Recommended).

### Input Example

If you run this actor via API, the input JSON should look like this:

```json
{
  "start_urls": [
    { "url": "[https://apify.com/contact](https://apify.com/contact)" },
    { "url": "[https://stripe.com/contact](https://stripe.com/contact)" }
  ],
  "max_depth": 1
}
```

### Output Example

The actor only saves results if it successfully finds at least one email on the page. Empty pages are ignored to keep your dataset perfectly clean.

```json
{
  "url": "[https://docs.apify.com/legal](https://docs.apify.com/legal)",
  "title": "Apify Legal | Apify Documentation",
  "emails_found": [
    "hello@apify.com",
    "legal@apify.com",
    "privacy@apify.com"
  ],
  "emails_count": 3
}
```

# Actor input Schema

## `start_urls` (type: `array`):

URLs to start with

## `max_depth` (type: `integer`):

Depth to which to scrape to

## Actor input object example

```json
{
  "start_urls": [
    {
      "url": "https://apify.com"
    }
  ],
  "max_depth": 1
}
```

# Actor output Schema

## `results` (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 = {
    "start_urls": [
        {
            "url": "https://apify.com"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("reqiuemos/deep-email-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 = { "start_urls": [{ "url": "https://apify.com" }] }

# Run the Actor and wait for it to finish
run = client.actor("reqiuemos/deep-email-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 '{
  "start_urls": [
    {
      "url": "https://apify.com"
    }
  ]
}' |
apify call reqiuemos/deep-email-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,reqiuemos/deep-email-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/fpHpybF9TI6BXUaV4/builds/CS6XNWnNMf2izBZAb/openapi.json