Skip to content

Latest commit

 

History

History
46 lines (32 loc) · 1.52 KB

README.md

File metadata and controls

46 lines (32 loc) · 1.52 KB

Selenium-Mini-Project# 🛍️ )

🛒 Croma Web Scraping & Power BI Dashboard

This project showcases end-to-end data extraction, cleaning, and interactive visualization using Selenium, Pandas, and Power BI. Data was scraped from Croma across various product categories such as Mobiles, Air Conditioners, Refrigerators, and Televisions.

📌 Objective

To scrape product listings from the Croma eCommerce website, clean the data, and create a Power BI dashboard for price-based insights and product exploration.

🚀 Tools & Technologies

  • Python 3
  • Selenium – for automating web scraping
  • Pandas – for data processing
  • Power BI – for creating interactive dashboards
  • ChromeDriver

📊 Features

  • Automated scraping from Croma.com using Selenium.
  • Extracted fields: Category, Title, Price, and Product Link.
  • Cleaned prices (₹ symbol removed, converted to integer).
  • Final dataset saved as croma_cleaned_products.csv.
  • Created Power BI dashboard:
    • 📦 Category-wise product price distribution
    • 💰 Top 10 expensive products
    • 📈 Price range histogram
    • 🔗 Table with clickable product links

📂 Project Structure

croma-web-scraping/
├── project_notebook.ipynb       # All scraping and cleaning code
├── croma_cleaned_products.csv   # Final cleaned dataset
├── dashboard.png                # Screenshot of Power BI dashboard
└── README.md                    # Project overview