Price Pulse presents an intelligent, real-time price tracking system designed for dynamic e-commerce platforms such as Amazon, Flipkart, and Walmart. Leveraging headless browser automation and proxy rotation, the system bypasses modern anti-scraping defences including CAPTCHAs, IP bans, and JavaScript-heavy interfaces. Unlike traditional trackers, Price Pulse integrates predictive analytics using LSTM-based models to forecast price trends and alert users based on probabilistic price drops. The architecture consists of a React-based frontend, a robust Node.js backend with MongoDB, and a modular scraping engine using Playwright and Cheerio. Notifications are delivered through both email and SMS for timely consumer awareness. Furthermore, the system is built with GDPR-compliant data handling practices and emphasizes ethical scraping standards. Experimental evaluation demonstrates high accuracy in price detection and forecasting, efficient alert generation, and strong system scalability. Price Pulse aims to empower consumers with actionable pricing insights while maintaining responsible data practices.