Amazon Scraping With Python

A Python-based web scraping project that extracts product details from Amazon search result pages and saves them into a CSV file for further analysis.

⚠️ This project is for educational purposes only.

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📌 Features

• Scrapes Amazon search result pages
• Extracts:
  • Product URL
  • Product title
  • Price
  • Rating
  • Number of reviews
  • ASIN
  • Product description
• Saves structured data into a CSV file
• Supports scraping multiple URLs using an input file

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🛠 Tech Stack

• Python
• Requests
• BeautifulSoup (bs4)
• CSV module

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📂 Project Structure

Amazon-Scraping-With-Python
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├── amazon_scraping.py # Main scraping script
├── url.txt # Input file containing Amazon search URLs
└── out.csv # Output file with scraped product data

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▶️ How It Works

1. Reads Amazon search URLs from url.txt
2. Sends HTTP requests with browser-like headers
3. Parses HTML using BeautifulSoup
4. Extracts product-level information
5. Writes the extracted data into out.csv

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🚀 How to Run

1️⃣ Install Dependencies

pip install requests beautifulsoup4 lxml

2️⃣ Add URLs

Add Amazon search URLs (one per line) inside:

url.txt

3️⃣ Run the Script

python amazon_scraping.py

4️⃣ Output

Scraped data will be saved to:

out.csv

📄 Sample Output Columns

• Product Url

• Product Title

• Price

• Rating

• Number of Review

• ASIN

• Product Description

⚠️ Disclaimer

• Amazon may block requests if scraping is excessive

• Use delays responsibly (time.sleep)

• Follow Amazon’s Terms of Service

👤 Author

Built as a Python automation and web scraping practice project to understand real-world data extraction workflows.