# Email and Contact Us Page Scraper (`moving_beacon-owner1/my-actor-12`) Actor

This advanced email scraper crawls websites to identify and extract valid email addresses while filtering out unwanted ones. It gathers emails from both main pages and contact pages for effective outreach and analysis.

- **URL**: https://apify.com/moving_beacon-owner1/my-actor-12.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:** Developer tools, Lead generation, Automation
- **Stats:** 79 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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?

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

## **Email and Contact Us Page Scraper**

### **About the Project**

This advanced email scraper is designed to crawl websites, identify valid email addresses, and filter out unnecessary or unwanted entries. The tool extracts email addresses from both primary pages and associated contact pages, ensuring comprehensive data collection for targeted outreach or analysis.

The project integrates seamlessly with **Apify**, enabling datasets to be stored and accessed conveniently within the platform for further use.

***

### **Key Features**

- **Email Validation**: Ensures only valid email formats are captured, reducing data clutter.
- **Domain Filtering**: Automatically excludes irrelevant domains such as test or placeholder emails (`example.com`, `test.com`, etc.).
- **Contact Page Crawling**: Identifies links labeled with "Contact," "Hire Us," or similar, then scrapes these pages for additional email addresses.
- **Seamless Apify Integration**: The extracted data is automatically pushed to an **Apify Dataset** for centralized management.
- **Robust Error Handling**: Handles HTTP errors, DNS lookup failures, and timeouts gracefully, ensuring uninterrupted scraping.
- **Customizable Settings**: Easily adjust concurrency and download delay for optimized performance.

***

### **How It Works**

1. **Input URLs**
   - The scraper accepts a list of start URLs to begin the crawl.

2. **Email Extraction Process**
   - Extracts all valid emails from the provided pages.
   - Crawls linked contact pages to capture additional addresses.

3. **Filtering**
   - Filters out emails from excluded domains (e.g., spam or irrelevant domains).

4. **Data Storage**
   - Stores the final email dataset in a CSV file.
   - Automatically pushes the data to **Apify** for easy access.

***

#### **Error Handling**

- Identifies and logs common errors like HTTP status issues, DNS lookup failures, and timeouts, ensuring transparency and troubleshooting simplicity.

***

### **Deliverables**

- **CSV File**: Contains extracted email addresses with the corresponding URLs.
- **Apify Dataset**: Accessible via the Apify dashboard for further analysis or export.

***

### **Why Choose This Tool?**

- **Efficiency**: Automates the tedious process of extracting emails manually.
- **Accuracy**: Validates and filters data, ensuring high-quality output.
- **Scalability**: Handles multiple URLs and pages with ease.
- **Integration-Ready**: Designed for seamless integration with the Apify ecosystem.

***

# Actor input Schema

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

URLs to start with

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://followmyleadnyc.com/"
    },
    {
      "url": "https://ccpdt.org/"
    }
  ]
}
```

# 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": [
        {
            "url": "https://followmyleadnyc.com/"
        },
        {
            "url": "https://ccpdt.org/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/my-actor-12").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": [
        { "url": "https://followmyleadnyc.com/" },
        { "url": "https://ccpdt.org/" },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/my-actor-12").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": [
    {
      "url": "https://followmyleadnyc.com/"
    },
    {
      "url": "https://ccpdt.org/"
    }
  ]
}' |
apify call moving_beacon-owner1/my-actor-12 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/my-actor-12"
        }
    }
}
```

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/681VYztTk5qviVe7M/builds/0CJvdXBJ9pviqsHu4/openapi.json