# Public Contact & Social Lead Extractor (`monema/apify-lead-extractor`) Actor

Extract publicly visible emails, phones, and social profiles from business pages into a clean dataset for research and CRM workflows.

- **URL**: https://apify.com/monema/apify-lead-extractor.md
- **Developed by:** [Maarten Vreeburg](https://apify.com/monema) (community)
- **Categories:** Automation
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 public contact 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

## Lead Extractor & Exporter

![Lead Extractor Thumbnail](assets/thumbnail.jpg)

![Hero banner](assets/hero.jpg)

Extract publicly visible emails, phones, and social profiles from business pages and export them as structured leads ready for research, qualification, and CRM workflows.

**Buyer outcome:** turn a public company page into clean, deduplicated contact records without copying details by hand.

### What it does

- extracts emails from visible text and mailto links
- extracts phone numbers from visible text and tel links
- detects social profile links like LinkedIn, X, Instagram, Facebook, YouTube, GitHub, Telegram, and WhatsApp
- optionally exports other external links
- ignores noisy selectors before parsing
- exports a clean dataset with summary counts

### Who buys this

- sales teams building lead lists
- agencies doing prospecting research
- founders looking for partner or supplier contacts
- directory builders and database curators
- analysts cleaning up public contact data

### Input example

```json
{
  "url": "https://example.com",
  "selector": "main",
  "ignore_selectors": ".cookie-banner,.ads",
  "include_emails": true,
  "include_phones": true,
  "include_social_links": true,
  "include_other_links": false,
  "max_items": 100
}
```

### Output fields

- `record_type`
- `contact_type`
- `platform`
- `value`
- `source`
- `page_title`
- `page_url`
- `status`
- `message`
- `contacts_found`

### Local development

```bash
apify run
```

### Deploy

```bash
apify login --token <your-token>
apify push
```

### Notes

This Actor is designed for public webpages only. Use it responsibly and in line with site terms, applicable privacy rules, and lawful outreach requirements.

# Actor input Schema

## `url` (type: `string`):

Public webpage to scan for contact details.

## `selector` (type: `string`):

Optional selector to narrow extraction to a specific container.

## `ignore_selectors` (type: `string`):

Comma or newline separated selectors to remove before extraction, for example .cookie-banner,.ads

## `include_emails` (type: `boolean`):

Extract visible emails and mailto links.

## `include_phones` (type: `boolean`):

Extract visible phone numbers and tel links.

## `include_social_links` (type: `boolean`):

Extract social profile links like LinkedIn, X, Instagram, Facebook, and YouTube.

## `include_other_links` (type: `boolean`):

Also export other external links that may be useful as leads or references.

## `max_items` (type: `integer`):

Maximum number of contact records to export.

## `timeout_seconds` (type: `integer`):

Request timeout in seconds.

## `user_agent` (type: `string`):

Optional custom browser user agent.

## Actor input object example

```json
{
  "url": "https://www.example.com/",
  "selector": "",
  "ignore_selectors": "",
  "include_emails": true,
  "include_phones": true,
  "include_social_links": true,
  "include_other_links": false,
  "max_items": 100,
  "timeout_seconds": 30,
  "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36"
}
```

# 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 = {
    "url": "https://www.example.com/"
};

// Run the Actor and wait for it to finish
const run = await client.actor("monema/apify-lead-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 = { "url": "https://www.example.com/" }

# Run the Actor and wait for it to finish
run = client.actor("monema/apify-lead-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 '{
  "url": "https://www.example.com/"
}' |
apify call monema/apify-lead-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/mZPPpJweDmHMAuhlM/builds/ofrlBkhh9KkvcIoeH/openapi.json