E-commerce Website Scrapper

Description

The E-commerce Product Information Scraper is a Python program designed to extract product details from online e-commerce websites. This program uses web scraping techniques to gather essential product information, such as product names, prices, and ratings, directly from the website's product listings. The extracted data is then organized and stored in a structured format, such as a CSV file. It provides a flexible way to gather product information programmatically, which can be used for analysis, comparison, or other purposes.

Features

• Web Scraping: Utilizes web scraping techniques to fetch product information from e-commerce websites.
• Product Details: Extracts essential product details, including names, prices, and reviews.
• Structured Storage: Stores the extracted data in a structured format, such as a CSV file.
• Customizable: Can be adapted to scrape from different e-commerce websites by adjusting the scraping logic.
• Data Analysis: Enables users to analyze and manipulate product information for various purposes.

How to Use

1. Clone this repository to your local machine using git clone.
2. Navigate to the project directory.
3. Review the WebScrapper(Task5).py file and customize the scraping logic as needed for your chosen website.
4. Run the program using a Python interpreter: WebScrapper(Task5).py.
5. The program will scrape product information and store it in a structured format like a CSV file.

Example

Suppose you want to extract product information from an e-commerce website:

1. Customize the WebScrapper(Task5).py file with the appropriate scraping logic for the chosen website.
2. Run the program using a Python interpreter.
3. The program will fetch product details such as names, prices, and reviews.
4. The extracted information will be stored in a CSV file for further analysis.

Author: Mangesh Pangam
GitHub: Mangesh2704
Email: 202103036.mangeshpkr@student.xavier.ac.in