The article provides a comprehensive guide on creating an Amazon price tracker using Python and Selenium to monitor product prices over time, allowing users to identify discounts and market trends. It explains the setup process, including project initialization, configuring scraping libraries, and implementing logic to scrape and store price data using a JSON file. The script is automated to run every 12 hours, enabling continuous tracking. Despite the utility of the tracker, Amazon's anti-bot measures such as CAPTCHAs and IP bans pose significant challenges, which the article suggests overcoming by using services like Bright Insights for more reliable and advanced eCommerce insights. Additionally, the article discusses potential enhancements like adding logging, database integration, and error handling to improve the script's robustness and flexibility.