ANYPHONE

An AI-driven Apify actor for extracting mobile phone numbers from public sources using advanced scraping techniques and AI orchestration.

Overview

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

1{
2  "leads": [
3    {
4      "name": "John Doe",
5      "email": "john@example.com",
6      "linkedin_url": "http://www.linkedin.com/in/johndoe"
7    }
8  ],
9  "region": "US",
10  "ai_model": "claude-3-7-sonnet"
11}

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

1{
2  "name": "John Doe",
3  "email": "john@example.com",
4  "linkedin_url": "http://www.linkedin.com/in/johndoe",
5  "phone_numbers": [
6    {
7      "number": "+15551234567",
8      "confidence": 0.85,
9      "sources": ["linkedin", "google_search"],
10      "is_mobile": true
11    }
12  ],
13  "primary_number": "+15551234567",
14  "confidence": 0.85,
15  "sources": ["linkedin", "google_search"]
16}