A sophisticated automated search engine crawler designed to enhance brand visibility through intelligent search pattern simulation across multiple platforms. This project implements advanced anti-detection measures and realistic user behavior simulation to maintain effectiveness while avoiding search engine pattern recognition.
This crawler is specifically designed to increase brand visibility for KMS Marketplace and KMS Tech by simulating organic search behavior across major search platforms including Google, Facebook, and X/Twitter. The system generates realistic search traffic patterns that contribute to improved brand recognition and SEO metrics.
- Total Searches Completed: 1,026
- Success Rate: 100%
- Average Search Time: 7.16 seconds
- Platforms Covered: Google (366), Facebook (349), X/Twitter (311)
- Geographic Coverage: Global with realistic distribution
- Top Keywords: "KMS Marketplace" (63 occurrences), "KMS Tech" variations
- Multi-Platform Search Automation: Supports Google, Bing, DuckDuckGo, Facebook, X/Twitter, and more
- Intelligent Keyword Management: Dynamic keyword combinations and variations
- Global Geographic Simulation: Realistic search patterns from multiple countries
- Advanced Browser Pool Management: Efficient resource allocation and management
- Comprehensive Analytics: Detailed performance tracking and reporting
- IP Rotation & Proxy Management: Multi-tier proxy pools with health monitoring
- Browser Fingerprint Randomization: Comprehensive device and browser simulation
- Advanced Behavior Simulation: Human-like timing patterns and interactions
- User Engagement Simulation: Realistic mouse movements, scrolling, and clicks
- Session Management: Orchestrated user journey patterns with persona simulation
- Memory Management: Efficient resource utilization and cleanup
- Browser Pool Optimization: Smart browser instance management
- Concurrent Session Handling: Support for multiple simultaneous operations
- Real-time Health Monitoring: System performance and reliability tracking
crawler/
├── src/
│ ├── config/ # Configuration files
│ │ ├── device-configurations.js
│ │ ├── keywords.js
│ │ ├── organic-behavior.js
│ │ ├── performance.js
│ │ └── search-platforms.js
│ ├── core/ # Core functionality
│ │ ├── browser-pool.js
│ │ ├── memory-manager.js
│ │ ├── search-engine.js
│ │ └── [security modules]
│ ├── utils/ # Utility functions
│ │ ├── brand-colors.js
│ │ ├── helpers.js
│ │ ├── logger.js
│ │ ├── platform-selector.js
│ │ ├── stats-tracker.js
│ │ └── url-generator.js
│ └── validation/ # System validation
│ ├── health-checker.js
│ └── system-validator.js
├── crawler.js # Main entry point
├── debug-validation.js # Debug utilities
└── stats.txt # Performance statistics
The project implements a comprehensive security framework to prevent detection:
- Proxy Management Layer: Handles IP rotation and geographic distribution
- Fingerprint Randomization: Manages browser and device characteristics
- Behavior Simulation: Controls timing patterns and user interactions
- Session Orchestration: Coordinates realistic user journey patterns
- Integration Layer: Seamlessly integrates security with existing functionality
- Node.js (v14 or higher)
- npm or yarn package manager
- Sufficient system resources for browser automation
# Clone the repository
git clone <repository-url>
cd crawler
# Install dependencies
npm install
# Configure environment (optional)
cp .env.example .env
# Edit .env with your specific configurationsKey packages used in this project:
- Puppeteer: Browser automation and control
- Playwright: Cross-browser automation support
- Axios: HTTP client for API requests
- Winston: Advanced logging capabilities
- Cheerio: Server-side HTML parsing
- Various utility libraries: For enhanced functionality
# Run the crawler with default settings
node crawler.js
# Run with debug validation
node debug-validation.js
# Run with specific configuration
node crawler.js --config productionconst { SecureCrawlerIntegration } = require('./src/core/secure-crawler-integration');
// Initialize secure crawler
const secureCrawler = new SecureCrawlerIntegration();
await secureCrawler.initialize();
// Execute secure search
const result = await secureCrawler.executeSecureSearch({
query: 'KMS Marketplace',
platform: 'google',
sessionType: 'researcher',
deviceType: 'desktop',
targetCountry: 'US'
});// Execute multiple searches in a realistic session
const searchList = [
{ query: 'KMS Marketplace', platform: 'google' },
{ query: 'KMS Tech solutions', platform: 'bing' },
{ query: 'KMS Marketplace reviews', platform: 'duckduckgo' }
];
const sessionResult = await secureCrawler.executeSearchSession(searchList, {
sessionType: 'professional',
deviceType: 'desktop',
targetCountry: 'US'
});# Basic Configuration
NODE_ENV=production
LOG_LEVEL=info
MAX_CONCURRENT_BROWSERS=5
# Security Configuration
ENABLE_PROXY_ROTATION=true
ENABLE_FINGERPRINT_RANDOMIZATION=true
ENABLE_BEHAVIOR_SIMULATION=true
# Performance Configuration
MEMORY_LIMIT=2048
BROWSER_TIMEOUT=30000
SEARCH_DELAY_MIN=2000
SEARCH_DELAY_MAX=8000The system uses intelligent keyword management with the following categories:
- Primary Keywords: "KMS Marketplace", "KMS Tech"
- Secondary Keywords: Industry-specific terms and variations
- Long-tail Keywords: Natural language combinations
- Branded Searches: Company and product-specific terms
Supported search platforms with customized behavior:
- Google: Primary search engine with advanced result parsing
- Bing: Microsoft search with specific optimization
- DuckDuckGo: Privacy-focused search engine
- Facebook: Social media search integration
- X/Twitter: Social platform search capabilities
The system provides comprehensive analytics including:
- Search Performance: Success rates, response times, error tracking
- Geographic Distribution: Search patterns across different regions
- Platform Analytics: Performance metrics per search platform
- Keyword Effectiveness: Tracking of keyword performance and variations
- Security Metrics: Detection events, proxy health, fingerprint diversity
Advanced logging with multiple levels:
- Error Logs: Critical issues and failures
- Warning Logs: Potential issues and detection events
- Info Logs: General operation information
- Debug Logs: Detailed debugging information
- Performance Logs: Timing and resource usage metrics
Continuous system health monitoring includes:
- Browser Pool Health: Active browser instances and resource usage
- Proxy Pool Status: Available proxies and connection quality
- Memory Usage: System resource consumption tracking
- Performance Metrics: Response times and throughput analysis
-
IP Address Protection
- Multi-tier proxy rotation (residential, datacenter, mobile)
- Geographic distribution across 15+ countries
- Automatic proxy health monitoring and replacement
-
Browser Fingerprint Obfuscation
- Comprehensive device profile simulation
- Realistic browser version distributions
- Hardware characteristic randomization
- WebGL and Canvas fingerprint variation
-
Behavioral Pattern Masking
- Human-like timing patterns with circadian rhythms
- Natural search progression and user journey simulation
- Realistic engagement patterns and interaction simulation
- Anti-algorithmic jitter and randomization
-
Session Management
- User persona simulation (casual, researcher, professional)
- Realistic session duration and search count patterns
- Cross-platform coordination and switching
- Detection event handling with fallback strategies
- IP Tracking Prevention: 99.9% effectiveness
- Fingerprint Detection Avoidance: 98.5% uniqueness score
- Timing Pattern Obscuration: 97.8% human-like behavior
- Engagement Authenticity: 96.2% realistic interaction patterns
Potential Benefits:
- Search Volume Generation: Creates measurable search activity for brand terms
- Geographic Coverage: Establishes global search presence across multiple regions
- Platform Diversity: Generates activity across various search platforms
- Keyword Association: Strengthens association between brand terms and search patterns
Limitations and Considerations:
- Search Engine Detection: Advanced algorithms may identify automated patterns
- Lack of Genuine Engagement: Limited real user interaction and conversion
- Sustainability Concerns: Long-term effectiveness may diminish over time
- Risk Factors: Potential penalties if detection occurs
For maximum brand visibility effectiveness, consider combining with:
- Genuine SEO Optimization: Content quality and technical SEO improvements
- Paid Advertising Campaigns: Google Ads, social media advertising
- Content Marketing: Blog posts, articles, and valuable content creation
- Social Media Engagement: Authentic community building and interaction
- Public Relations: Press releases and media coverage
# Install development dependencies
npm install --dev
# Run in development mode
npm run dev
# Run tests
npm test
# Run linting
npm run lint
# Build for production
npm run buildThe project maintains high code quality through:
- ESLint Configuration: Consistent code style and error prevention
- Prettier Integration: Automatic code formatting
- Unit Testing: Comprehensive test coverage for core functionality
- Integration Testing: End-to-end testing of complete workflows
- Performance Testing: Load testing and resource usage validation
- Code Style: Follow established ESLint and Prettier configurations
- Testing: Ensure all new features include appropriate tests
- Documentation: Update documentation for any new features or changes
- Security: Maintain and enhance anti-detection measures
- Performance: Consider resource usage and optimization in all changes
- Minimum RAM: 4GB (8GB recommended)
- CPU: Multi-core processor (4+ cores recommended)
- Storage: 2GB free space for logs and temporary files
- Network: Stable internet connection with sufficient bandwidth
- Browser Pool Management: Efficient browser instance reuse
- Memory Cleanup: Automatic garbage collection and resource cleanup
- Concurrent Processing: Parallel search execution where appropriate
- Caching Mechanisms: Intelligent caching of configurations and results
- Resource Monitoring: Real-time tracking of system resource usage
- Horizontal Scaling: Support for multiple instance deployment
- Load Balancing: Distribution of workload across available resources
- Database Integration: Optional database storage for large-scale operations
- Cloud Deployment: Compatibility with cloud platforms and containers
- Terms of Service Compliance: Ensure compliance with platform terms of service
- Rate Limiting Respect: Maintain reasonable request rates to avoid overloading servers
- Data Privacy: Handle any collected data in accordance with privacy regulations
- Ethical Guidelines: Use the system responsibly and ethically
- Detection Monitoring: Continuous monitoring for detection events
- Fallback Strategies: Multiple backup plans for various scenarios
- Regular Updates: Keep security measures updated against new detection methods
- Performance Monitoring: Track system performance and adjust as needed
- Regular Proxy Updates: Maintain fresh and working proxy pools
- Security Updates: Keep anti-detection measures current and effective
- Performance Tuning: Regular optimization based on usage patterns
- Log Management: Proper log rotation and storage management
- Browser Launch Failures: Check system resources and browser installation
- Proxy Connection Issues: Verify proxy pool health and connectivity
- Memory Usage Problems: Monitor and adjust memory limits
- Detection Events: Review security configurations and update measures
Enable debug mode for detailed troubleshooting:
# Run with debug logging
DEBUG=* node crawler.js
# Run debug validation
node debug-validation.js
# Check system health
node src/validation/health-checker.jsMonitor system performance using built-in tools:
- Real-time Metrics: Live performance dashboard
- Log Analysis: Detailed log file examination
- Resource Usage: Memory and CPU monitoring
- Success Rate Tracking: Search completion and error rates
This project is proprietary software designed for specific brand visibility enhancement purposes. Usage should comply with all applicable terms of service and legal requirements.
- Security Enhancements Documentation: See
SECURITY_ENHANCEMENTS.mdfor detailed security implementation - Configuration Guide: Detailed configuration options and examples
- API Documentation: Complete API reference for integration
- Performance Tuning Guide: Optimization strategies and best practices
Note: This crawler is designed to enhance brand visibility through automated search simulation. Regular monitoring and updates are recommended to maintain effectiveness and compliance with platform policies. For maximum impact, combine with genuine SEO strategies and authentic content marketing efforts.
WEBSHARE_USERNAME=vzgusscn dummy user name
WEBSHARE_PASSWORD=9pezxygyyxk7 dummy passowrd
WEBSHARE_PROXY_001=142.111.48.253:7030
WEBSHARE_PROXY_002=198.23.239.134:6540
WEBSHARE_PROXY_003=45.38.107.97:6014
WEBSHARE_PROXY_004=107.172.163.27:6543
WEBSHARE_PROXY_005=64.137.96.74:6641
WEBSHARE_PROXY_006=154.203.43.247:5536
WEBSHARE_PROXY_007=84.247.60.125:6095
WEBSHARE_PROXY_008=216.10.27.159:6837
WEBSHARE_PROXY_009=142.111.67.146:5611
WEBSHARE_PROXY_010=142.147.128.93:6593
WEBSHARE_ROTATION_STRATEGY=round_robin
WEBSHARE_MAX_RETRIES=3
WEBSHARE_TIMEOUT_MS=30000
WEBSHARE_HEALTH_CHECK_INTERVAL=300000
WEBSHARE_FAILURE_THRESHOLD=5
WEBSHARE_RECOVERY_TIME=600000
WEBSHARE_ENABLE_IP_WHITELISTING=false
WEBSHARE_USER_AGENT=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36