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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

{
"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"]
}