A powerful Python-based tool that scrapes a given website and detects the technologies used on it! This tool utilizes web scraping and pattern matching to identify various technologies, frameworks, and libraries implemented in the site's HTML, scripts, and metadata.
- Scrapes a website and analyzes its HTML, meta tags, and scripts
- Matches technologies against a predefined dataset
- Provides a clean and accurate list of detected technologies
- Fast and efficient, using BeautifulSoup for parsing and requests for fetching data
Python Web Scraping Technology Detector BeautifulSoup Requests Automation
Ensure you have Python 3.x installed along with the required libraries.
pip install pandas requests beautifulsoup4git clone https://github.com/yourusername/technology-detector.git
cd technology-detectorRun the script and enter a website URL to analyze.
python technolog.pyEnter the website URL: https://example.com
Formatted URL: example.com
Technologies used in this website: jQuery, Bootstrap, Google Analytics
-
Loads Technology Data π
- Fetches a dataset of web technologies from a JSON file.
- Converts the dataset into a structured pandas DataFrame.
-
Scrapes the Website π
- Uses
requeststo fetch the page source. - Parses the HTML using
BeautifulSoup.
- Uses
-
Matches Technologies π
- Extracts scripts, meta tags, and headers from the website.
- Checks for predefined technology patterns.
- Returns a list of matched technologies.
β Add support for more technology datasets π§ β Improve accuracy with machine learning-based detection π€ β Build a GUI or Web Interface for ease of use π₯οΈ
Pull requests are welcome! For major changes, please open an issue first to discuss what you'd like to modify.
This project is open-source and available under the MIT License.
Have questions or suggestions? Feel free to reach out!
π© Email: [email protected]
π GitHub: VIPULbunny