eBay-Tech-Products-Web-Scraping

nuor Killny

eBay-Tech-Products-Web-Scraping

Overview This project involves web scraping to collect data about the top 5 most sold tech products from eBay. The focus is on five key categories of tech products: Phones, Laptops, earbuds, Consoles, and Smart watches. The scraping process extracts key details about these products, including their titles, prices, and sales data, to analyze market trends and best-sellers.
This project demonstrates the use of web scraping techniques with Python, utilizing libraries like BeautifulSoup and requests for data extraction. The project is also a showcase of handling data extraction from eBay's product listings, parsing HTML data, and processing it for further analysis.
Features Scrapes eBay for the top 5 most sold tech products in each category: Phones Laptops earbuds Consoles Smart watches Extracts the following product details: Product title Product price Data is stored in a CSV format for easy analysis or export.
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Posted Dec 4, 2024

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nour-elden007/coffee-shops-analysis
nour-elden007/coffee-shops-analysis
eBay-Tech-Products-Web-Scraping
eBay-Tech-Products-Web-Scraping

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