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This Python project automates the process of scraping product information from Flipkart based on a search term. It retrieves data such as product names and prices. It organizes into a structured Excel file and send it to specified email for easy analysis.

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parthi952/Flipkart-Product-Scraper

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Flipkart-Product-Scraper

This Python project automates the process of scraping product information from Flipkart based on a search term. It retrieves data such as product names and prices, and organizes it into a structured Excel 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 and price) in a Excel file using Pandas and send it to user email.

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 Excel file for easy access and analysis.

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This Python project automates the process of scraping product information from Flipkart based on a search term. It retrieves data such as product names and prices. It organizes into a structured Excel file and send it to specified email for easy analysis.

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