# Facebook Email Extractor (`clothefobia/facebook-email-extractor`) Actor

Facebook  Email Extractor-Scrap Emails from Facebook with unique technology with any keyword

- **URL**: https://apify.com/clothefobia/facebook-email-extractor.md
- **Developed by:** [clothe fobia](https://apify.com/clothefobia) (community)
- **Categories:** Automation, Lead generation
- **Stats:** 173 total users, 0 monthly users, 100.0% runs succeeded, 5 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

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

## 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

### Facebook Email Extractor

Facebook Email Extractor – Software can scrap Email from Facebook Social media Profile with specific keyword

As social media not expose emails , we get emails from search engine by specific keyword and by social media type.
You will get 100% best result from this software.

### Included features

- Software will search with specific keyword on Facebook profiles on search engine and scrap emails
- Software will scrap information :
  ✅ Email
  ✅ Title
  ✅ Profile Description
  ✅ Facebook profile link.

### How to use

Search Using below parameter.

- \[Keyword] : Any Keyword like Jobs,Sales.
- \[Location] : this option is optional but you can write any location .
- \[Email Type] : if you want to scrap popular email like gmail,hotmail then retain default option. but if you want to scrap
  B2B business email, define your business domain email like '@domain.com'

if you face any issue , you can email us at clothefobia@gmail.com

if you want to use our own Tools without any plateform usase charges ,you can check our tools

https://www.datascrapify.com/product/Facebook-Email-Scraper?ref=clothefobia

# Actor input Schema

## `Keyword` (type: `string`):

Keyword

## `location` (type: `string`):

Location

## `social_network` (type: `string`):

Social Media

## `Email_Type` (type: `string`):

Email Type

## `Other_Email_Type` (type: `string`):

Email Domain (Example @domain.com)

## `proxySettings` (type: `object`):

Select proxies to be used by your crawler.

## Actor input object example

```json
{
  "Keyword": "testkeyword",
  "social_network": "facebook.com/",
  "Email_Type": "0",
  "proxySettings": {
    "useApifyProxy": false
  }
}
```

# 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 = {
    "Keyword": "testkeyword",
    "social_network": "facebook.com/",
    "proxySettings": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("clothefobia/facebook-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 = {
    "Keyword": "testkeyword",
    "social_network": "facebook.com/",
    "proxySettings": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("clothefobia/facebook-email-extractor").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 '{
  "Keyword": "testkeyword",
  "social_network": "facebook.com/",
  "proxySettings": {
    "useApifyProxy": false
  }
}' |
apify call clothefobia/facebook-email-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/JE4N8vcbvIpKYY48X/builds/xcJhUAqsoIUhVHWoJ/openapi.json