Kindle Price Monitor

This project monitors the price of the Kindle Fire on Amazon and sends an automated notification when the price drops by a specified threshold.

Features

• Web Scraping: Extracts the Kindle price from Amazon.
• Automated Notifications: Displays a pop-up when the price drops.
• Logging: Logs price changes and notification events.
• Configurable Threshold: Users can set a price drop threshold.

Prerequisites

• Python 3.9 or later
• Miniconda (Optional, recommended for environment management)
• Google Chrome (For Selenium-based scraping, if needed)

Installation & Setup

1. Clone the Repository

 git clone https://github.com/yourusername/kindle-price-monitor.git
 cd kindle-price-monitor

2. Set Up a Virtual Environment

Using Miniconda:

 conda create --name kindle-price-monitor python=3.9
 conda activate kindle-price-monitor

Using venv:

 python -m venv venv
 source venv/bin/activate  # On macOS/Linux
 venv\Scripts\activate  # On Windows

3. Install Dependencies

 pip install -r requirements.txt

4. Configure config.py

Edit the config.py file and set up:

• AMAZON_URL: The Amazon product page URL.
• USER_AGENT: Your browser's user-agent string.
• PRICE_DROP_THRESHOLD: Set the price drop limit.
• CHECK_FREQUENCY: Frequency of price checks (in seconds).

5. Run the Script

 python main.py

File Structure

kindle-price-monitor/
│-- __pycache__/             # Compiled Python files (ignore in Git)
│-- config.py                # Configuration settings
│-- logger.py                # Logs price changes
│-- main.py                  # Main script to run the monitor
│-- notification.py           # Handles popup notifications
│-- price_log.csv            # CSV file logging price history
│-- README.md                # Project documentation
│-- requirements.txt         # Required Python packages
│-- scraper.py               # Web scraping logic

Dependencies

These are installed via requirements.txt:

• beautifulsoup4 (For web scraping)
• requests (For making HTTP requests)
• pandas (For data handling)
• plyer (For notifications)
• logging (For logging events)
• csv (For handling price logs)