Amazon Web Scraping Project

This project is designed to scrape product data from Amazon's website using Python-based web scraping tools. The collected data includes essential product details such as title, price, rating, and more, providing a foundation for data analysis and insights into e-commerce trends.

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🚀 Features

• Data Extraction: Scrapes key product details such as titles, prices,reviews,availability, and ratings.
• Customizable Scraping: Configure the scraper for different Amazon categories or search terms.
• Data Export: Outputs scraped data in a structured format (e.g., CSV or JSON).

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🛠️ Prerequisites

Before running the project, ensure the following are installed:

• Python 3.8+

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🛠️ Tech Stack

• Python: Main programming language.
• Libraries:
• requests and beautifulsoup4 for web scraping.
• pandas for data handling and exporting.

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📦 Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/amazon-web-scraping.git
   cd amazon-web-scraping

2. Install Dependencies:

   • BeautifulSoup
   • pandas
   • numpy

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🔧 Usage

1. Install all required libraries

2. Run the notebook:
   Execute the notebook to collect data:

3. View the Output:

   • Scraped data is saved in the output/ folder as a CSV file.
   • Use tools like Excel, Google Sheets, or Python's pandas library to analyze the data.

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⚠️ Disclaimer

This project is for educational purposes only.

• Respect Amazon's terms of service.
• Implement appropriate measures like delays and proxy rotation to prevent detection.

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🌟 Future Enhancements

• Dynamic Proxies: Integrate proxy management to avoid IP bans.
• Cloud Deployment: Deploy the scraper to platforms like AWS or Zyte for scalability.
• Data Analysis: Add modules for visualizing price trends and product comparisons.

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📫 Contact

For questions or suggestions, feel free to reach out:

• Name: Marcellin DJAMBO
• Email: [email protected]
• LinkedIn: My LinkedIn Profile

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