staycanuca / Web-Scraping-Ecommerce

Web-scraping Romania's largest ecommerce website

Web Scraping Ecommerce Website

The web scraper is a Python-based tool designed for scraping product data from eMag's website, covering various categories and pages. The script utilizes Selenium for web scraping, ensuring accurate and up-to-date information is captured directly from the web pages.

Features

• Scrape product data across multiple categories.
• Configurable to scrape multiple pages per category.
• Data includes product ID, name, price, category, extraction date, and more.
• Saves scraped data to a CSV file for easy use and analysis.

Usage

To use the eMag Scraper, follow these steps:

1. Import the EMagScraper class from the script.

from EcommerceScraper import EcommerceScraper

2. Create an instance of the EcommerceScraper class, specifying the categories and number of pages to scrape per each category.

categories_to_scrape = ["desktop-pc", "laptopuri"]
nr_pages = 5
scraper = EMagScraper(categories_to_scrape, nr_pages)

3. Call the scrape_categories method to start the scraping process.

scraper.scrape_categories()

License

This project is licensed under the MIT License - see the LICENSE file for details.