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 json { "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 json { "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"] }