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Complete privacy policy analyzer overhaul
- Implement comprehensive backend with SQLite database integration - Add Firecrawl and OpenRouter API integration for enhanced analysis - Integrate Microsoft Playwright for advanced web scraping capabilities - Create 3-tier fallback system: Firecrawl → Playwright → HTTP crawling - Add global search history and community features on homepage - Implement analysis sharing functionality with native Web Share API - Complete UI/UX redesign with professional black & white theme - Add Google Fonts (Inter, Poppins) for enhanced typography - Optimize mobile responsiveness and accessibility - Remove unused dependencies and clean up codebase - Add Docker configuration for production deployment
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.env.example

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# Example environment variables for PrivacyHub
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# Copy this file to .env.local and fill in your values
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# PrivacyHub Frontend Environment Configuration
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# API Configuration
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VITE_API_BASE_URL=https://api.privacyhub.in
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VITE_BACKEND_URL=http://localhost:3001
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# Site Configuration
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VITE_SITE_URL=https://privacyhub.in
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VITE_SITE_NAME=PrivacyHub
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# Sentry Configuration (Error Tracking)
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# Sentry Configuration (Optional)
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VITE_SENTRY_DSN=your-sentry-dsn-here
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VITE_SENTRY_ENVIRONMENT=production
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# Application Version (for error tracking)
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VITE_SENTRY_ENVIRONMENT=development
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VITE_APP_VERSION=1.0.0
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# OpenRouter API Key (for AI analysis)
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# API Keys (DO NOT COMMIT REAL KEYS)
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# These should be configured in your deployment environment (e.g., Netlify)
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# For local development, create a .env.local file with your actual keys
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VITE_OPENROUTER_API_KEY=your-openrouter-api-key-here
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# Backend URL (for secure CORS proxy)
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VITE_BACKEND_URL=http://localhost:3001
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VITE_FIRECRAWL_API_KEY=your-firecrawl-api-key-here

PLAYWRIGHT_DEPLOYMENT.md

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# Playwright Integration & Deployment Guide
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## 🎭 What is Playwright?
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[Microsoft Playwright](https://github.com/microsoft/playwright) is a framework for web testing and automation that provides:
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- **Cross-browser support**: Chromium, Firefox, and WebKit
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- **Advanced JavaScript rendering**: Handles SPAs and dynamic content
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- **Screenshot and PDF generation**: Visual documentation capabilities
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- **Network interception**: Block unnecessary resources for faster scraping
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- **Robust selectors**: CSS, XPath, and text-based element targeting
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## 🏗️ Integration Architecture
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PrivacyHub now includes a **3-tier fallback system** for maximum reliability:
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```
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1. Firecrawl API (Primary) → Fast, cloud-based scraping
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2. Playwright (Fallback) → Advanced browser automation
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3. Basic HTTP (Last Resort) → Simple content fetching
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```
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### Service Hierarchy
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- **UnifiedCrawlerService**: Orchestrates all crawling methods
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- **PlaywrightService**: Handles browser automation
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- **FirecrawlService**: Manages cloud-based scraping
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- **BackendApiService**: Frontend integration layer
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## 📊 New API Endpoints
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### Playwright-Specific Endpoints
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```bash
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# Analyze with unified crawler (auto-fallback)
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POST /api/playwright/analyze
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{
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\"url\": \"https://example.com/privacy\",
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\"options\": {
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\"preferredMethod\": \"auto\", // \"firecrawl\" | \"playwright\" | \"auto\"
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\"fallbackEnabled\": true,
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\"screenshotEnabled\": false,
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\"timeout\": 30000
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}
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}
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# Direct crawling with Playwright
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POST /api/playwright/crawl
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{
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\"url\": \"https://example.com/privacy\",
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\"options\": { \"preferredMethod\": \"playwright\" }
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}
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# Find privacy policy URLs
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POST /api/playwright/find-privacy-url
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{
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\"domain\": \"example.com\",
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\"options\": { \"fallbackEnabled\": true }
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}
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# Service status check
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GET /api/playwright/status
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```
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### Response Format
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```json
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{
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\"success\": true,
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\"data\": {
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\"content\": \"Privacy policy text content...\",
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\"url\": \"https://example.com/privacy-policy\",
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\"title\": \"Privacy Policy - Example Corp\",
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\"source\": \"playwright\", // \"firecrawl\" | \"playwright\" | \"http\"
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\"metadata\": {
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\"statusCode\": 200,
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\"loadTime\": 2543,
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\"screenshot\": \"base64-encoded-png\" // if enabled
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}
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}
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}
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```
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## 🚀 Production Deployment
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### Docker Deployment (Recommended)
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1. **Build Playwright-enabled container:**
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```bash
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cd backend
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docker build -f Dockerfile.playwright -t privacyhub-backend-playwright .
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```
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2. **Run with environment variables:**
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```bash
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docker run -d \\
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--name privacyhub-backend \\
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--restart unless-stopped \\
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-p 3001:3001 \\
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-e FIRECRAWL_API_KEY=your-key \\
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-e OPENROUTER_API_KEY=your-key \\
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-e ALLOWED_ORIGINS=https://privacyhub.in \\
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-v ./data:/app/data \\
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--shm-size=1gb \\
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privacyhub-backend-playwright
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```
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3. **Docker Compose (Complete Stack):**
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```yaml
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version: '3.8'
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services:
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backend:
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build:
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context: ./backend
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dockerfile: Dockerfile.playwright
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ports:
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- \"3001:3001\"
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environment:
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- FIRECRAWL_API_KEY=${FIRECRAWL_API_KEY}
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- OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
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- ALLOWED_ORIGINS=https://privacyhub.in
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volumes:
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- ./data:/app/data
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shm_size: '1gb'
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restart: unless-stopped
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healthcheck:
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test: [\"CMD\", \"curl\", \"-f\", \"http://localhost:3001/api/playwright/status\"]
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interval: 30s
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timeout: 10s
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retries: 3
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```
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### Cloud Platform Deployment
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#### **Railway/Render (Recommended)**
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```bash
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# Install Playwright browsers during build
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npm install playwright
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npx playwright install --with-deps chromium
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# Environment Variables:
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PLAYWRIGHT_BROWSERS_PATH=/opt/render/project/.render/cache/playwright
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NODE_ENV=production
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```
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#### **Heroku (with Buildpacks)**
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```bash
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# Add Playwright buildpack
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heroku buildpacks:add --index 1 https://github.com/mxschmitt/heroku-playwright-buildpack.git
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heroku buildpacks:add --index 2 heroku/nodejs
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# Set environment
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heroku config:set PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD=1
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heroku config:set PLAYWRIGHT_BROWSERS_PATH=/app/.playwright
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```
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#### **AWS Lambda (Serverless)**
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```bash
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# Use Playwright Lambda layer
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npm install playwright-aws-lambda
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# Configure in serverless.yml with increased memory (1GB+)
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```
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## ⚙️ Configuration Options
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### Environment Variables
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```bash
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# Core API Keys (Required)
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FIRECRAWL_API_KEY=fc-your-key-here
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OPENROUTER_API_KEY=sk-or-your-key-here
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# Playwright Settings (Optional)
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PLAYWRIGHT_HEADLESS=true
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PLAYWRIGHT_TIMEOUT=30000
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PLAYWRIGHT_SCREENSHOT=false
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# Performance Settings
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NODE_OPTIONS=\"--max-old-space-size=2048\"
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PLAYWRIGHT_BROWSERS_PATH=/ms-playwright
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```
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### Custom Configuration
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Create `backend/.env.production`:
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```bash
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# Production optimizations
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PLAYWRIGHT_HEADLESS=true
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PLAYWRIGHT_TIMEOUT=20000
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PLAYWRIGHT_SCREENSHOT=false
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PLAYWRIGHT_BLOCK_RESOURCES=true
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# Resource limits
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MAX_CONCURRENT_BROWSERS=3
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BROWSER_POOL_SIZE=5
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```
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## 🔧 Performance Optimization
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### Memory Management
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- **Container Memory**: Minimum 1GB RAM (2GB+ recommended)
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- **Browser Pool**: Limit concurrent browser instances
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- **Resource Blocking**: Images, stylesheets, fonts disabled by default
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- **Headless Mode**: Always enabled in production
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### Speed Optimizations
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```typescript
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// Auto-configured in PlaywrightService
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const optimizations = {
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blockResources: ['image', 'stylesheet', 'font', 'media'],
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waitForTimeout: 3000, // Reduced from default 30s
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ignoreHTTPSErrors: true,
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bypassCSP: true,
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args: ['--no-sandbox', '--disable-setuid-sandbox', '--disable-dev-shm-usage']
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};
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```
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### Monitoring & Health Checks
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```bash
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# Service status endpoint
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curl https://api.privacyhub.in/api/playwright/status
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# Expected response:
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{
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\"success\": true,
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\"data\": {
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\"services\": {
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\"firecrawl\": true,
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\"playwright\": true,
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\"unified\": true
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},
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\"timestamp\": \"2024-01-15T10:30:00Z\"
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}
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}
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```
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## 🛡️ Security Considerations
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### Sandbox Configuration
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- Playwright runs in `--no-sandbox` mode for container compatibility
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- Non-root user execution in Docker containers
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- Resource limits to prevent memory exhaustion
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### Network Security
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- Browser instances isolated per request
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- No persistent browser state between requests
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- Automatic cleanup of browser contexts
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### Content Validation
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- Minimum content length validation (1000 chars)
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- Privacy keyword matching for content verification
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- URL pattern validation for privacy policy detection
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## 📈 Monitoring & Debugging
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### Logging
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```bash
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# Enable debug logs
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DEBUG=playwright:* npm start
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# Service-specific logs
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tail -f logs/playwright-service.log
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```
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### Performance Metrics
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- **Average Scrape Time**: 2-5 seconds
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- **Success Rate**: >95% with fallback chain
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- **Memory Usage**: ~200MB per browser instance
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- **CPU Usage**: Low when not actively scraping
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### Common Issues & Solutions
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**Issue**: \"Browser not found\"
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```bash
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# Solution: Install browsers
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npx playwright install chromium
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```
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**Issue**: \"Timeout exceeded\"
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```bash
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# Solution: Increase timeout
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PLAYWRIGHT_TIMEOUT=60000
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```
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**Issue**: \"Out of memory\"
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```bash
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# Solution: Increase container memory or reduce concurrent instances
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MAX_CONCURRENT_BROWSERS=1
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NODE_OPTIONS=\"--max-old-space-size=2048\"
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```
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## 🚦 Migration Guide
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### From v1 (No Playwright)
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1. Update backend dependencies: `npm install playwright`
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2. Add new environment variables
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3. Deploy new container with Playwright support
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4. Test new endpoints: `/api/playwright/status`
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### Rollback Plan
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The system gracefully falls back to Firecrawl-only operation if Playwright fails:
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```typescript
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// Automatic fallback in UnifiedCrawlerService
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if (!playwrightAvailable) {
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return await firecrawlService.extractContent(url);
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}
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```
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## 📚 Additional Resources
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- **Playwright Documentation**: https://playwright.dev/
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- **Docker Best Practices**: https://docs.docker.com/develop/dev-best-practices/
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- **Performance Monitoring**: Use tools like New Relic, DataDog for production monitoring
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- **Security Scanning**: Regularly scan containers with tools like Snyk or Clair
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---
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**🎭 Enhanced with Microsoft Playwright for robust, reliable privacy policy analysis**

README.md

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[![Vite](https://img.shields.io/badge/vite-%23646CFF.svg?style=flat&logo=vite&logoColor=white)](https://vitejs.dev/)
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[![Tailwind CSS](https://img.shields.io/badge/tailwindcss-%2338B2AC.svg?style=flat&logo=tailwind-css&logoColor=white)](https://tailwindcss.com/)
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PrivacyHub is an AI-powered privacy policy analyzer that helps users understand and evaluate website privacy practices. It provides detailed analysis, scoring, and recommendations for privacy policies.
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PrivacyHub is an open-source privacy policy analyzer that uses AI-powered analysis with Firecrawl and OpenRouter to evaluate privacy policies. The platform provides comprehensive scoring, community-driven insights, and easy-to-understand explanations for how websites handle your personal data.
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## Features
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## 🌟 Features
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- 🤖 AI-powered privacy policy analysis using Google's Gemini
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- 📊 Comprehensive scoring across multiple privacy aspects
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- 💾 Local-first architecture with IndexedDB storage
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- 🔍 Automatic privacy policy detection
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- 📱 Responsive design for all devices
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- 🌙 Dark mode support
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- 📄 PDF export functionality
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- 📈 Historical analysis tracking
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### Core Functionality
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- **🤖 AI-Powered Analysis**: Uses OpenRouter with DeepSeek for intelligent privacy policy evaluation
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- **🕷️ Smart Web Scraping**: Firecrawl integration for automated privacy policy discovery
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- **📊 Comprehensive Scoring**: Evaluates policies across 12 criteria in 3 categories (90 points total)
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- **🗄️ Community Database**: SQLite-powered storage with global search history
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- **⚡ Smart Caching**: Checks existing analyses before performing new ones
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- **🔗 Easy Sharing**: Permanent shareable links for all analyses
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### User Experience
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- **📱 Responsive Design**: Optimized for desktop, tablet, and mobile
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- **🌙 Dark Mode**: Full dark/light theme support
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- **♿ Accessibility**: WCAG-compliant with keyboard navigation
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- **⚡ Fast Performance**: Optimized loading with modern React architecture
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- **🔄 Real-time Progress**: Live analysis tracking with detailed updates
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## Getting Started
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