# Website Email, Phone & Social Extractor (`ozer-studio/website-lead-scraper`) Actor

Extract business emails, phone numbers, and social profiles from websites — clean, structured, and ready for lead generation.

- **URL**: https://apify.com/ozer-studio/website-lead-scraper.md
- **Developed by:** [Ozer Studio](https://apify.com/ozer-studio) (community)
- **Categories:** Lead generation, Social media, E-commerce
- **Stats:** 11 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/actors/running/actors-in-store.md#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

## 🔍 Website Email, Phone & Social Extractor

Extract business emails, phone numbers, and social profiles from any website — clean, structured, and ready for outreach.

Built for lead generation, sales prospecting, and data enrichment.

***

### 🚀 Turn any website into a lead

Give it a website → get:

- 📧 Business email
- 📞 Phone number
- 📘 Facebook page
- 📸 Instagram profile
- 📍 Business address
- 🔗 Source URLs (where data was found)

👉 No cleanup required. Ready for CRM, outreach, or analysis.

***

### 🔗 Perfect for Google Maps leads

If you’re already using a **Google Maps scraper**, this Actor is the next step.

After scraping businesses from Google Maps, you usually get:

- company names
- website URLs
- basic listing info

👉 This Actor takes those **website URLs** and enriches them.

#### 💡 Workflow

```text
Google Maps Scraper → Website List → This Actor → Contact Data
```

#### 🚀 Why this matters

Google Maps data alone is not enough for outreach.

This Actor helps you:

- turn listings into real leads
- find direct contact info
- build outreach-ready datasets

#### 🧾 Bulk input ready

```json
{
  "startUrls": [
    "https://company1.com",
    "https://company2.com",
    "https://company3.com"
  ]
}
```

👉 Ideal for processing **bulk website data from Google Maps or any directory scraper**

***

### ⚡ Why this Actor is different

Most scrapers give you messy data.

This Actor:

- ✅ Selects the best email (not random ones)
- ✅ Extracts real business phone numbers (not junk)
- ✅ Cleans and normalizes social links
- ✅ Crawls contact & about pages automatically
- ✅ Tracks exactly where each data point came from
- ✅ Uses Facebook About page as fallback

👉 You get usable leads — not raw data

***

### 🧠 Use cases

- Lead generation
- Cold email outreach
- Sales prospecting
- Agency client acquisition
- Supplier research
- CRM enrichment
- Market research

***

### ⚡ Quick start (30 seconds)

```json
{
  "startUrls": [
    "https://example.com"
  ]
}
```

Click **Start** → get results.

***

### 🔄 How it works

For each website:

1. Loads homepage
2. Extracts emails, phone numbers, and socials
3. Finds contact/about pages
4. Ranks best data (filters junk)
5. Uses Facebook fallback if needed
6. Outputs clean structured data

***

### 📊 Output example

```json
{
  "company_name": "Example Company",
  "website": "https://example.com",
  "final_url": "https://example.com",
  "email": "sales@example.com",
  "email_found_on": "https://example.com/contact",
  "phone": "+1 214-555-1212",
  "phone_found_on": "https://example.com/contact",
  "facebook": "https://www.facebook.com/example",
  "instagram": "https://www.instagram.com/example",
  "address": "123 Main Street, Dallas, TX 75001",
  "scraped_at": "2026-04-23T18:00:00Z"
}
```

***

### 🧾 Input options

#### `startUrls`

List of websites to process

#### `records`

Optional structured input:

```json
[
  {
    "companyName": "ABC Company",
    "website": "https://abc.com"
  }
]
```

If both `startUrls` and `records` are filled, the Actor processes both inputs (deduplicated by company + website).

#### `maxContactPagesToTry`

How many contact/about pages to check (default: 3)

#### `checkFacebookAboutPage`

Use Facebook fallback (default: true)

#### `maxConcurrency`

Number of websites processed in parallel

#### `saveCsvFile`

Export results as CSV

***

### 📤 Output

Results are saved to:

- Apify dataset
- CSV file

Each row includes:

- email
- phone
- social profiles
- address
- source links

***

### 🧠 Best practices

- Start with 1–5 websites
- Increase concurrency gradually
- Use real company domains
- Expect some sites to have no email

***

### ⚠️ Limitations

- Extracts publicly available data only
- Some websites block scraping
- Not all sites display emails
- Phone extraction optimized for US/Canada

***

### 🔗 Build a lead pipeline

Combine with:

- Google Maps scrapers
- B2B directory scrapers
- Alibaba supplier finders
- LinkedIn enrichment tools

👉 Workflow:
**Find companies → Extract contacts → Outreach**

***

### 📈 SEO keywords (for discovery)

email extractor
phone extractor
website scraper
lead generation tool
contact scraper
business data extractor
social media scraper
web scraping for leads

***

### 📬 Support

Have ideas or need improvements? Open an issue or reach out.

***

### 📄 Disclaimer

This Actor extracts publicly available information only.
Use responsibly and in compliance with applicable laws.

# Actor input Schema

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

One or more business website URLs to process.

## `records` (type: `array`):

Optional structured input records. When both Website URLs and records are provided, both are processed.

## `maxContactPagesToTry` (type: `integer`):

Maximum number of contact or about pages to check per website.

## `checkFacebookAboutPage` (type: `boolean`):

If email, phone, or address is still missing, try the Facebook About page when a Facebook link is found.

## `headless` (type: `boolean`):

Run Chromium in headless mode.

## `pageTimeoutMs` (type: `integer`):

Navigation timeout in milliseconds.

## `maxConcurrency` (type: `integer`):

How many websites to process in parallel. Start with 1 to 3.

## `saveCsvFile` (type: `boolean`):

Save a CSV export to the default key-value store.

## `csvFilename` (type: `string`):

Filename for the CSV export.

## Actor input object example

```json
{
  "startUrls": [
    "https://example.com"
  ],
  "records": [],
  "maxContactPagesToTry": 3,
  "checkFacebookAboutPage": true,
  "headless": true,
  "pageTimeoutMs": 45000,
  "maxConcurrency": 1,
  "saveCsvFile": true,
  "csvFilename": "website_email_social_results.csv"
}
```

# Actor output Schema

## `company_name` (type: `string`):

Company name when provided.

## `website` (type: `string`):

Input website URL.

## `final_url` (type: `string`):

Final resolved URL after redirects.

## `email` (type: `string`):

Publicly available business email.

## `email_found_on` (type: `string`):

URL where the email was found.

## `phone` (type: `string`):

Detected business phone number.

## `phone_found_on` (type: `string`):

URL where the phone number was found.

## `facebook` (type: `string`):

Facebook page URL.

## `facebook_found_on` (type: `string`):

URL where the Facebook link was found.

## `instagram` (type: `string`):

Instagram profile URL.

## `instagram_found_on` (type: `string`):

URL where the Instagram link was found.

## `address` (type: `string`):

Detected business address.

## `address_found_on` (type: `string`):

URL where the address was found.

## `scraped_at` (type: `string`):

Timestamp when the record was scraped.

# 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://example.com"
    ],
    "records": [],
    "csvFilename": "website_email_social_results.csv"
};

// Run the Actor and wait for it to finish
const run = await client.actor("ozer-studio/website-lead-scraper").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://example.com"],
    "records": [],
    "csvFilename": "website_email_social_results.csv",
}

# Run the Actor and wait for it to finish
run = client.actor("ozer-studio/website-lead-scraper").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://example.com"
  ],
  "records": [],
  "csvFilename": "website_email_social_results.csv"
}' |
apify call ozer-studio/website-lead-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ozer-studio/website-lead-scraper"
        }
    }
}

```

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/3mnN6ewJut446euIV/builds/TEe6bUEoKk7tFd9n3/openapi.json