Task 009: Platform Integration & Scraping Implementation

[AustinZ21]

Description

Implement platform-specific scraping modules for Google, Facebook, and LinkedIn with secure extension-backend communication. This task focuses on the actual data extraction logic and communication protocols between the browser extension and backend services.

Acceptance Criteria

• Platform-specific scraping modules for Google, Facebook, and LinkedIn privacy pages
• Secure bidirectional communication between browser extension and backend API
• Automatic detection and navigation to privacy policy pages on supported platforms
• Robust data extraction with error handling and retry mechanisms

Technical Details

Platform Scraping Modules

• Google: Privacy settings, account activity, data downloads
• Facebook: Privacy settings, ad preferences, data processing
• LinkedIn: Privacy settings, data usage, communication preferences
• Modular architecture allowing easy addition of new platforms

Extension-Backend Communication

• Secure API endpoints for data transmission
• Authentication tokens for user session management
• Real-time status updates during scraping operations
• Error reporting and diagnostic information

Privacy Page Detection

• URL pattern matching for privacy-related pages
• DOM element identification for privacy controls
• Dynamic content loading detection and handling
• Platform-specific navigation and interaction logic

Data Extraction Logic

• Privacy setting state capture and comparison
• Policy text extraction with change detection
• Metadata collection (timestamps, version info)
• Data validation and sanitization before transmission

Dependencies

• Task 004: Platform registry and scraping engine architecture
• Task 007: Browser extension security architecture

Effort Estimate

Large (3-4 days)

• Day 1: Google platform integration
• Day 2: Facebook platform integration (1.5 days)
• Day 3: LinkedIn platform integration
• Day 4: Extension-backend communication

Definition of Done

• All three platforms successfully scraped with 95%+ success rate
• Extension communicates securely with backend without data leakage
• Privacy pages automatically detected on platform navigation
• Data extraction handles dynamic content and JavaScript-rendered pages
• Error handling gracefully manages platform changes and failures
• Integration tests verify end-to-end data flow from extension to database

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📋 Local file: .claude/epics/privyloop/009.md