Enhanced Web Tech Detector

The Enhanced Web Tech Detector is a Python script that analyzes websites and detects various web technologies, frameworks, libraries, and features being used. It provides a comprehensive overview of the technical stack and best practices implemented on a given website.

Features

• Detects popular Content Management Systems (CMS) like WordPress, Joomla, and Drupal
• Identifies JavaScript frameworks and libraries (React, Angular, Vue.js, jQuery)
• Recognizes e-commerce platforms and functionality
• Analyzes server-side technologies
• Checks for security features and SSL/TLS configurations
• Detects Content Delivery Network (CDN) usage
• Analyzes DNS configurations, including email providers
• Identifies social media integrations and metadata
• Recognizes image optimization techniques and modern formats
• Checks for accessibility features (ARIA attributes)
• Detects mobile optimization and responsive design
• Identifies privacy compliance tools (GDPR, CCPA, etc.)
• Recognizes various analytics and tracking tools
• Identifies web font services

Installation

1. Clone this repository:

   git clone https://github.com/betmendlx/webtechdetector.git
   cd webtechdetector
   

2. Install the required Python packages:

   pip install -r requirements.txt
   

Usage

Run the script using Python:

python webtechdetector.py

When prompted, enter the URL of the website you want to analyze. The script will display the detected technologies and features.

Example Output

╔════════════════════════════════════════╗
║ Welcome to the Enhanced Web Tech Detector!║
╚════════════════════════════════════════╝

Enter a URL to analyze (or 'quit' to exit): https://example.com

Analyzing https://example.com... Please wait.

Detected technologies and features:
  • WordPress
  • PHP 7.4
  • Nginx
  • Google Analytics
  • Responsive Design
  • SSL/TLS: TLSv1.3
  • Certificate Issuer: Let's Encrypt
  • GDPR Compliance Tool
  • Lazy Loading Images
  • Google Fonts

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Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.