Amazon Price Tracker

Overview

This Python package allows you to track Amazon product prices and generate detailed reports. It uses Selenium for web scraping and provides a simple yet powerful way to keep an eye on your favorite products.

Prerequisites

• Python 3.x
• Selenium
• ChromeDriver

Installation

1. Clone the repository:

   git clone https://github.com/jgavrilo/Amazon-Price-Tracker.git

2. Navigate to the project directory:

   cd Amazon-Price-Tracker

3. Install Selenium:

   pip install selenium

Configuration

Edit the amazon_config.py file to set your preferences:

• NAME: Product name to track.
• CURRENCY: Currency symbol (e.g., "$").
• MIN_PRICE and MAX_PRICE: Price range to filter the search results.

Usage

Running the Script with Command-Line Parameters

You can run the script with command-line parameters to specify the product name, currency, and price range. Here's how to do it:

python3 simple_tracker.py --name "Kindle" --currency "$" --min_price "50" --max_price "200"

This will track Kindle products with prices ranging from $50 to $200.

Using Default Values

If you want to run the script with the default values specified in amazon_config.py, you can simply execute:

python3 simple_tracker.py

This will use the default values for NAME, CURRENCY, MIN_PRICE, and MAX_PRICE as specified in the code or amazon_config.py.

Amazon API

The amazon_api.py script provides a class for scraping product data from Amazon. To use it, simply import the AmazonAPI class from the script and create an instance with the following parameters:

• search_term: The search term for the products you want to scrape
• filters: A dictionary of filters for the price range of the products you want to scrape
• base_url: The base URL for Amazon in your region
• currency: The currency used on Amazon in your region

Then call the run method of the instance to scrape the product data. The method returns a list of dictionaries, where each dictionary contains the product data for a single product.

Report Generator

The generate_report.py script provides a class for generating reports based on the product data scraped with the AmazonAPI class. To use it, simply import the GenerateReport class from the script and create an instance with the following parameters:

• file_name: The name of the report file
• filters: A dictionary of filters for the price range of the products scraped with the AmazonAPI class
• base_link: The base URL for Amazon in your region
• currency: The currency used on Amazon in your region
• data: The list of dictionaries containing the product data scraped with the AmazonAPI class

Then call the constructor of the instance to generate the report. The report will be saved as a JSON file to the directory specified in the amazon_config.py script.

Credits

This package was created by Jeremy Gavrilov.