Dynamic pricing has become an essential strategy in modern e-commerce platforms to maintain competitiveness in rapidly changing markets. This research presents a dynamic pricing system that collects competitor pricing data using automated web scraping and adjusts internal product prices accordingly. The proposed system integrates automation tools, databases, and a web interface to update prices in real time. A pricing algorithm is applied to set product prices slightly lower than competitor prices. The system improves operational efficiency, reduces manual monitoring, and enables businesses to react quickly to market changes.

Dr.M.Jaithoon Bibi, K Ram Prasath,"Dynamic Pricing System Using Web Scraping and Automation for Competitive E-Commerce Markets" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(4): Page(290-293) March - April 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.