With the rapid development of internet technology, tourism e-commerce platform has become the core carrier of online tourism market. This article focuses on data mining technology and explores its application design and practice in tourism e-commerce platforms. Build a data-driven tourism e-commerce platform through scenarios such as user behavior analysis, personalized recommendations, and precision marketing, and validate its effectiveness through case studies. The research results indicate that data mining technology can significantly improve user experience, optimize resource allocation, and promote the intelligent development of tourism e-commerce.