ANYPHONE uses AI orchestration, advanced scraping techniques, and multi-source validation to find and extract mobile phone numbers for a list of leads. The tool is designed to be ethical, compliant with data protection regulations, and highly accurate.

🚨 Legal & Ethical Notice 🚨

This tool must only scrape PUBLICLY AVAILABLE data.

Only scrape publicly available data
Respect robots.txt and website terms of service
Comply with GDPR, CCPA, and other data protection regulations
Use the data in accordance with applicable laws
Obtain necessary consent where required by law

Input Parameters

You can provide input in two ways:

1. JSON Format

{
  "leads": [
    {
      "name": "John Doe",
      "email": "john@example.com",
      "linkedin_url": "http://www.linkedin.com/in/johndoe"
    }
  ],
  "region": "US",
  "ai_model": "claude-3-7-sonnet"
}

2. CSV Upload

You can upload a CSV file directly through the Apify interface. The CSV should include columns for:

name or full_name
email or email_address
linkedin_url or linkedin

The actor automatically handles Apollo.io export formats.

Other Parameters

region: Region code for phone validation (default: "CA")
ai_model: AI model to use for extraction (default: "claude-3-7-sonnet")
proxyConfiguration: Proxy settings for web scraping

Performance Metrics

Accuracy: ≥85% valid mobile numbers
Coverage: ≥70% of leads with at least one phone number
Speed: ~30-60 seconds per lead (depending on sources used)

Output Format

{
  "name": "John Doe",
  "email": "john@example.com",
  "linkedin_url": "http://www.linkedin.com/in/johndoe",
  "phone_numbers": [
    {
      "number": "+15551234567",
      "confidence": 0.85,
      "sources": ["linkedin", "google_search"],
      "is_mobile": true
    }
  ],
  "primary_number": "+15551234567",
  "confidence": 0.85,
  "sources": ["linkedin", "google_search"]
}

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