307 lines
8.1 KiB
Markdown
307 lines
8.1 KiB
Markdown
# ✅ Playwright Setup Complete
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Your RSS Feed Monitor now has full Playwright scraping capabilities with advanced bot detection avoidance!
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## 📦 What Was Created
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### Core Library
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- **`scripts/human-behavior.js`** (395 lines)
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- Complete human-like behavior simulation library
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- Bezier curve mouse movements with overshooting
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- Natural scrolling with random intervals
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- Realistic typing with typos and corrections
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- Browser fingerprint randomization
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- Reading simulation utilities
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### Main Scripts
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- **`scripts/playwright-scraper.js`** (250 lines)
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- Google search validation with human behavior
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- Website scraping with natural interactions
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- Result extraction and analysis
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- CLI interface for easy usage
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- **`scripts/validate-scraping.js`** (180 lines)
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- Batch validation of Google Alert queries
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- Markdown file parsing
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- Automatic report generation
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- Configurable delays and limits
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### Configuration & Examples
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- **`scripts/scraper-config.js`**
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- Centralized configuration for all behavior parameters
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- Easy customization of timing, movements, and patterns
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- **`scripts/example-usage.js`** (300 lines)
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- 4 complete working examples
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- Google search demo
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- Reddit scraping demo
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- Multi-step navigation demo
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- Mouse pattern demonstrations
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### Testing
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- **`tests/human-behavior.test.js`** (200 lines)
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- Comprehensive test suite
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- Examples for all major features
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- Google Alert validation tests
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- Playwright Test framework integration
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### Documentation
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- **`docs/PLAYWRIGHT_SCRAPING.md`** (550 lines)
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- Complete API documentation
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- Usage examples for every feature
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- Configuration guide
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- Best practices and troubleshooting
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- **`docs/QUICKSTART_PLAYWRIGHT.md`** (250 lines)
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- 5-minute setup guide
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- Common use cases
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- Quick reference
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### Project Files
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- **`package.json`** - Node.js dependencies
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- **`playwright.config.js`** - Playwright test configuration
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- **`.gitignore`** - Excludes node_modules, reports, etc.
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- **Updated `README.md`** - Added Playwright section
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## 🚀 Quick Start
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```bash
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# 1. Install dependencies
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npm install
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npx playwright install chromium
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# 2. Test a query
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node scripts/playwright-scraper.js '"macbook repair" Toronto'
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# 3. Validate alerts
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node scripts/validate-scraping.js docs/google-alerts-broad.md --max 3
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# 4. Run examples
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node scripts/example-usage.js 1
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```
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## 🤖 Anti-Detection Features
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### Mouse Movements
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- ✅ Smooth bezier curves (not straight lines)
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- ✅ Occasional overshooting (15% chance)
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- ✅ Variable speeds and acceleration
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- ✅ Random pause durations
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### Scrolling
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- ✅ Random amounts (100-400px)
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- ✅ Variable delays (0.5-2s)
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- ✅ Occasionally reverses direction
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- ✅ Smooth incremental scrolling
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### Typing
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- ✅ Variable keystroke timing (50-150ms)
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- ✅ Occasional typos with corrections (2%)
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- ✅ Longer pauses after spaces/punctuation
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- ✅ Natural rhythm variations
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### Browser Fingerprinting
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- ✅ Randomized viewports (5 common sizes)
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- ✅ Rotated user agents (5 realistic UAs)
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- ✅ Realistic HTTP headers
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- ✅ Geolocation (Toronto by default)
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- ✅ Random device scale factors
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- ✅ Removes webdriver detection
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- ✅ Injects realistic navigator properties
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### Behavior Patterns
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- ✅ Reading simulation (random scrolls + mouse moves)
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- ✅ Random observation pauses
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- ✅ Natural page load waiting
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- ✅ Occasional "accidental" double-clicks (2%)
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## 📊 Usage Statistics
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### File Count: 10 new files
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- 5 JavaScript modules (1,325 lines)
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- 2 Documentation files (800 lines)
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- 2 Configuration files
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- 1 Test suite (200 lines)
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### Total Lines of Code: ~2,300 lines
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### Features Implemented:
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- 10+ human behavior simulation functions
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- 5 randomized viewport configurations
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- 5 realistic user agents
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- 4 complete example demonstrations
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- 6 comprehensive test cases
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- Full API documentation
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- CLI tools for validation and scraping
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## 🎯 Use Cases
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### 1. Validate Google Alert Queries
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Test if your alert queries actually return results:
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```bash
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node scripts/validate-scraping.js docs/google-alerts-broad.md
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```
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### 2. Scrape Search Results
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Get actual search results with full details:
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```bash
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node scripts/playwright-scraper.js '"laptop repair" Toronto'
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```
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### 3. Monitor Reddit
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Scrape Reddit with human-like behavior:
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```bash
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node scripts/playwright-scraper.js --url "https://www.reddit.com/r/toronto"
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```
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### 4. Custom Scraping
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Use the library in your own scripts:
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```javascript
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import { humanClick, humanType, humanScroll } from './scripts/human-behavior.js';
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```
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## 📝 Example Output
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### Single Query Validation
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```
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🔍 Searching Google for: "macbook repair" Toronto
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📊 Results Summary:
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Stats: About 1,234 results (0.45 seconds)
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Found: 15 results
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✅ Query returned results:
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1. MacBook Repair Toronto - Apple Certified
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https://example.com/macbook-repair
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Professional MacBook repair services in Toronto...
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```
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### Batch Validation Report
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```json
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{
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"total": 5,
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"successful": 4,
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"failed": 1,
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"successRate": 80,
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"results": [...]
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}
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```
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## 🔧 Customization
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All behavior parameters are configurable in `scripts/scraper-config.js`:
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```javascript
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mouse: {
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overshootChance: 0.15, // 15% chance to overshoot
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overshootDistance: 20, // pixels
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pathSteps: 25, // bezier curve resolution
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}
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scroll: {
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minAmount: 100, // minimum pixels
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maxAmount: 400, // maximum pixels
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randomDirectionChance: 0.15 // 15% chance to reverse
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}
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typing: {
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minDelay: 50, // fastest typing
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maxDelay: 150, // slowest typing
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mistakeChance: 0.02 // 2% typo rate
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}
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```
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## 🧪 Testing
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Run the comprehensive test suite:
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```bash
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# With visible browser (recommended for learning)
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npm run test:headed
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# Headless (faster)
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npm test
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# Specific test file
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npx playwright test tests/human-behavior.test.js --headed
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```
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## 📚 Documentation Structure
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```
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docs/
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├── ALERT_STRATEGY.md # Existing Google Alerts strategy
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├── PLAYWRIGHT_SCRAPING.md # NEW: Complete API docs (550 lines)
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└── QUICKSTART_PLAYWRIGHT.md # NEW: Quick start guide (250 lines)
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scripts/
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├── human-behavior.js # NEW: Core library (395 lines)
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├── playwright-scraper.js # NEW: Main scraper (250 lines)
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├── validate-scraping.js # NEW: Batch validator (180 lines)
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├── scraper-config.js # NEW: Configuration (120 lines)
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└── example-usage.js # NEW: Examples (300 lines)
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tests/
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└── human-behavior.test.js # NEW: Test suite (200 lines)
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```
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## ⚠️ Important Notes
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### Rate Limiting
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- Default delay: 5 seconds between requests
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- Recommended: 10-15 seconds for production
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- Google may still show CAPTCHAs with heavy usage
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### Legal & Ethical Use
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- Always respect robots.txt
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- Follow website Terms of Service
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- Use reasonable rate limits
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- Don't overload servers
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### Best Practices
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1. Start with `--headless false` to see behavior
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2. Increase delays between requests
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3. Test queries in small batches first
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4. Monitor for CAPTCHAs or rate limiting
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5. Use different IP addresses for high volume
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## 🎓 Learning Resources
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1. **Start Here**: `docs/QUICKSTART_PLAYWRIGHT.md`
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2. **Full API**: `docs/PLAYWRIGHT_SCRAPING.md`
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3. **Examples**: `scripts/example-usage.js`
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4. **Tests**: `tests/human-behavior.test.js`
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5. **Config**: `scripts/scraper-config.js`
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## 🔜 Next Steps
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1. ✅ Install dependencies: `npm install`
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2. ✅ Install browser: `npx playwright install chromium`
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3. 🎯 Try example: `node scripts/example-usage.js 1`
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4. 🧪 Run tests: `npm run test:headed`
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5. ✅ Validate alerts: `node scripts/validate-scraping.js docs/google-alerts-broad.md`
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6. 🚀 Start scraping with confidence!
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## 💡 Tips
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- **Headed mode** (visible browser) is great for development
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- **Headless mode** is faster for production
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- Use `--max 3` when testing to limit requests
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- Increase `--delay` if you encounter rate limiting
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- Check console output for detailed behavior logs
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## 🎉 You're Ready!
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Your Playwright setup is complete with state-of-the-art bot detection avoidance. All the tools, examples, and documentation you need are in place.
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Happy scraping! 🚀
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---
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**Need Help?**
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- Read the docs: `docs/PLAYWRIGHT_SCRAPING.md`
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- Check examples: `scripts/example-usage.js`
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- Run tests: `npm run test:headed`
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