A modern, premium web application for analyzing competitor backlink profiles. Built with vanilla HTML, CSS, and JavaScript, featuring a sleek dark theme with glassmorphism effects.
- Domain Analysis - Enter any competitor domain to analyze their backlink profile
- Real-time Statistics - View total backlinks, referring domains, average DA, and dofollow ratio
- Detailed Results Table - See source domains, anchor texts, domain authority scores, and link types
- CSV Export - Export analysis results to CSV for further analysis
- Filtering Options - Filter by dofollow/nofollow links and include/exclude subdomains
- Responsive Design - Works seamlessly on desktop, tablet, and mobile devices
- Modern UI - Dark theme with glassmorphism effects and smooth animations
-
Clone the repository:
git clone https://github.com/yourusername/competitor-backlink-analysis-tool.git
-
Open
Index.htmlin your browser -
Enter a competitor domain and click "Analyze Backlinks"
competitor-backlink-analysis-tool/
├── Index.html # Main HTML structure
├── style.css # Styling with CSS variables and animations
├── app.js # Core application logic
└── README.md # Documentation
- HTML5 - Semantic markup structure
- CSS3 - Custom properties, Flexbox, Grid, animations
- JavaScript (ES6+) - Modern vanilla JS with no dependencies
- Font Awesome - Icon library via CDN
- Google Fonts - Poppins font family
- Dark theme with deep blue/purple gradients
- Glassmorphism card effects with backdrop blur
- Animated statistics counters
- Staggered row animations in results table
- Color-coded domain authority badges
- Toast notifications for user feedback
- Smooth hover transitions throughout
- Input Validation - Validates domain format before processing
- Data Generation - Simulates backlink data for demonstration (replace with real API)
- Statistics Calculation - Calculates and displays key metrics
- Table Rendering - Displays detailed backlink information with sorting
- Export Functionality - Generates CSV download of results
Replace the generateBacklinkData() function in app.js with actual API calls:
async function fetchBacklinkData(domain) {
const response = await fetch(`YOUR_API_ENDPOINT?domain=${domain}`);
return await response.json();
}Modify CSS variables in :root selector in style.css:
:root {
--primary: #your-color;
--secondary: #your-color;
/* ... other variables */
}The application includes a structured logging system for debugging and monitoring:
// Log levels: DEBUG (0), INFO (1), WARN (2), ERROR (3)
Logger.debug('Detailed debug info', { data });
Logger.info('General information');
Logger.warn('Warning message');
Logger.error('Error occurred', error);To enable debug logs, set Logger.currentLevel = 0 in the console.
All critical functions include try-catch blocks with:
- Graceful error recovery
- User-friendly error notifications
- Detailed error logging for debugging
We welcome contributions! Please follow these guidelines:
- Fork the repository
- Create a feature branch:
git checkout -b feature/your-feature - Make your changes following the code standards below
- Commit with descriptive messages:
git commit -m "feat: add new feature" - Push and create a Pull Request
- JavaScript: Use ES6+ features, strict mode enabled
- JSDoc Comments: Document all functions with
@param,@returns,@example - Error Handling: Wrap critical operations in try-catch blocks
- Naming: Use camelCase for functions/variables, UPPER_SNAKE_CASE for constants
- XSS Prevention: Use
escapeHtml()for user-generated content in HTML
Use conventional commits:
feat:New featuresfix:Bug fixesdocs:Documentation changesrefactor:Code refactoringstyle:Formatting changestest:Adding tests
This project is available for educational and personal use.