Mobile search engine application on e-commerce (Apenphone) is an application platform a website based search that makes it easy for users to make choices in a buying a hanphone that you want see from three e-commerce, that is Shopee, Elevenia, and Bukalapak. Retrieval of data from each e-commerce this is done through the crawling process. This application provides a variety of filter options that can use the user in considering handphone that will be purchased. The available filters are closest, best-selling, best, and price ranges are desired. The best-first search algorithm is applied to performs an automated solution search on that application will be built. The best-first search algorithm is one of the search algorithms is the heuristic is a combination of two search algorithms that is breadth first search and depth first search with take each advantage of the two the algorithm.  The results that will be obtained from application built is that implementation best first search algorithm can be implemented in Apenphone application creation. So it can makes it easier for users to choose the handphone that will purchased by comparison of the three e-commerce. Result end of testing the Apenphone app with using alpha and beta methods obtained results amounting to 85.45% where this range is included in Strongly Agree category for the use of Apenphone as an application to help find cellphones on e-commerce.