🕸️ Web Scraping: Newegg Product Data

This is a simple web scraping project using Python, requests, and BeautifulSoup. The scraper extracts product brand, name, and shipping info from Newegg, and saves the data into a .csv file.

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📁 Project Structure

• web-scraping-newegg.ipynb — the main Jupyter notebook
• products.csv — output data (optional to upload)
• requirements.txt — list of dependencies
• README.md — this file
• LICENSE — open-source license (MIT)

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📌 What You’ll Learn

• How to scrape websites using BeautifulSoup
• How to extract specific tags and attributes
• How to store structured data into a CSV file
• Writing clean, reusable scraping code in Python

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🧪 Sample Output

Brand	Product Name	Shipping
MSI	GTX 1660 ...	Free Shipping

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🛠️ How to Run This Project

1. Clone the Repository

git clone https://github.com/AbdulRahmanAlsakkaDitAkkad/web-scraping-beautifulsoup.git
cd web-scraping-beautifulsoup