The PricePulse project presents an automated, real-time price monitoring tool specifically designed for tracking prices on Amazon. This research paper outlines the development, architecture, and implementation of PricePulse. By employing web scraping techniques—using Next.js for the frontend, Cheerio for HTML parsing, and MongoDB for data storage—along with Bright Data’s proxy service to bypass Amazon’s anti-scraping measures, PricePulse reliably extracts price information and alerts users to significant price changes. The proposed solution addresses the challenges posed by frequent price fluctuations and the inherent difficulties of manual monitoring on e-commerce platforms. Results demonstrate successful real-time tracking, overcoming obstacles such as CAPTCHAs and IP restrictions. Future enhancements include expanding support to additional platforms and incorporating predictive analytics to further empower consumers in their purchasing decisions.