making an amazon price tracker using python in less than 30 lines

creating an amazon price tracker using python involves web scraping to fetch product prices and storing them for comparison over time. below is a concise tutorial featuring a basic implementation using the `requests` and `beautifulsoup` libraries. you'll also need to install `pandas` for data storage.

requirements:
1. python installed on your machine.
2. install necessary libraries:


code example:

explanation:
1. **imports**: we import necessary libraries for http requests, html parsing, and data handling.
2. **get_amazon_price()**: this function takes a product url, makes a request to amazon, and parses the html to find the price.
3. **track_price()**: fetches the current price, records the date, and appends the price to a csv file for historical tracking.
4. **main execution**: replace the sample url with the desired product link to track its price.

notes:
- be mindful of amazon's terms of service regarding web scraping.
- you may want to add error handling for network issues or changes in the webpage structure.

this script is a simple starting point and can be expanded with features like email alerts or a web interface for ease of access.

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#AmazonPriceTracker #PythonProgramming #windows
Amazon price tracker
Python
web scraping
BeautifulSoup
requests
data extraction
price monitoring
automation
API integration
CSV output
scheduled tasks
Flask
SQLite database
user notifications
efficiency