🕵️‍♂️ Intelligent Email Extractor

An advanced Apify crawler to automatically extract email addresses from any website, with anti-detection protection and Cloudflare decoding.

✨ Features

🔍 Multi-Source Extraction

• Mailto links : Direct extraction from mailto: links
• Cloudflare protection : Automatic decoding of data-cfemail emails
• Smart regex : Email detection in HTML content
• Metadata : Extraction from <meta> tags

🎯 Intelligent Navigation

• Contact pages : Automatic detection of contact pages via keywords
• Multilingual keywords : French, English, German support
• Smart scoring : Prioritization of most relevant pages
• Configurable limits : Control the number of pages to analyze

🛡️ Anti-Detection Protection

• Fingerprinting : Realistic browser fingerprint
• Random delays : Avoids detectable navigation patterns
• Human headers : Realistic User-Agent and headers
• Session management : Session pool to avoid bans

📧 Filtering and Prioritization

• Whitelist : Priority emails (contact@, hello@, info@, etc.)
• Blacklist : Filter unwanted emails (no-reply@, etc.)
• Validation : Email validity verification
• Deduplication : Automatic duplicate removal

🚀 Installation

# Clone the project
git clone <repository-url>
cd apify-get-emails-from-site

# Install dependencies
npm install

# Install Playwright (automatic via postinstall)
npx playwright install --with-deps chromium

📖 Usage

Input Configuration

{
  "baseUrl": "https://example.com",
  "maxContactPages": 2,
  "navigationTimeoutMs": 30000
}

Parameters:

• baseUrl (required) : Base URL to analyze
• maxContactPages (optional, default: 2) : Maximum number of contact pages to analyze
• navigationTimeoutMs (optional, default: 30000) : Navigation timeout in ms

Execution

# Local execution
npm start

# Or directly
node main.js

Output

{
  "hit": true,
  "primaryEmail": "contact@example.com",
  "emails": ["contact@example.com", "info@example.com"],
  "sourceUrl": "https://example.com/contact",
  "scanned": ["https://example.com", "https://example.com/contact"],
  "baseUrl": "https://example.com"
}

🔧 Advanced Configuration

Contact Keywords

The crawler automatically detects contact pages via these keywords:

const contactKeywords = [
  "contact", "contact-us", "contactez", "kontakt", "mentions",
  "mentions-legales", "legal", "imprint", "impressum", "privacy",
  "privacy-policy", "confidentialite", "support", "help", "aide",
  "about", "a-propos", "team", "equipe", "cgu", "cgv", "faq"
];

Priority Emails

const roleWhitelist = [
  "contact@", "hello@", "info@", "support@", "sales@",
  "partners@", "partnership@", "team@", "hi@", "help@"
];

Filtered Emails

const roleBlacklist = [
  "no-reply@", "noreply@", "donotreply@"
];

🏗️ Architecture

Execution Flow

1. Initialization : Crawler and queue configuration
2. Navigation : Main page loading
3. Extraction : Multi-source email analysis
4. Decision : If emails found → stop, else → contact pages
5. Result : Return prioritized emails

Anti-Detection Protection

• Limited concurrency : 1 tab at a time
• Random delays : 300-800ms before navigation, 200-600ms after
• Fingerprinting : Unique browser fingerprint
• Realistic headers : Recent Chrome User-Agent
• Error handling : Automatic retry on failures

📊 Performance

• Configurable timeout : Avoids blocking
• Request limiting : Server load control
• Smart stop : Stop as soon as a valid email is found
• Deduplication : Avoids redundant analysis

🛠️ Dependencies

• apify (^3.5.0) : Scraping framework
• crawlee (^3.15.1) : Crawling library
• playwright (^1.46.0) : Browser automation

📝 Technical Notes

• ES6 modules : Modern imports/exports usage
• Error handling : Try/catch for robustness
• Email validation : Regex and domain verification
• Relative URLs : Automatic link resolution

🤝 Contributing

Contributions are welcome! Feel free to:

• Report bugs
• Suggest improvements
• Add new contact keywords
• Optimize performance

📄 License

This project is under MIT license.