This Python project automates the process of scraping product information from Flipkart based on a search term. It retrieves data such as product names, prices, and ratings, and organizes it into a structured CSV file for easy analysis.
Project Features
Web Scraping: Uses BeautifulSoup to extract product details from Flipkart’s search results page.
Data Storage: Stores the scraped data (product name, price, and rating) in a CSV file using Pandas.
Dynamic Search: Enter any search term, and the script will fetch relevant product listings.
Custom Headers: Mimics a real browser request to avoid being blocked by the website.
How It Works
Search: The user provides a search query, which the script formats for the Flipkart URL.
Scrape: The script retrieves the HTML page and parses it to extract product information.
Save: Data is saved into a CSV file for easy access and analysis.