This project scrapes product data from the Nilper store to collect chair model names, prices, images, and product links.
The data is then cleaned and exported for analysis in Power BI, where a dashboard visualizes price ranges and market trends.
- Demonstrate Python web scraping skills using Selenium.
- Collect structured product and pricing data for analysis.
- Build a Power BI dashboard for insights and trends.
Nilper Website Snapshot:
Power BI Dashboard:
- Python (Selenium, Pandas) for data scraping & cleaning
- Power BI for visualization & analysis
The scraper exports a CSV file with:
- Product Name
- Price (converted from Rial to Toman)
- Product Link
- Image URL