This project collects data from four websites using Selenium and Web Scraper (Chrome extension). The data is then displayed and analyzed in a Streamlit web app.
✅ Data collection from 2 websites using Selenium and 2 using Web Scraper
✅ Data cleaning and storage
✅ Interactive Streamlit app to:
- Choose the collection method (Selenium / Web Scraper)
- View raw and cleaned datasets
- Analyze data with interactive charts
- Selenium - For scraping dynamic websites
- Web Scraper (Chrome extension) - For static websites
- Pandas - For data cleaning and processing
- Matplotlib / Seaborn / Plotly - For data visualization
- Streamlit - To build the web app
git clone https://github.com/your-username/WebScraping_Project.git
cd WebScraping_Project
pip install -r requirements.txt
streamlit run app/app.py
## 📜 License
This project is licensed under the **MIT License**.
You are free to use, modify, and distribute it.