Análisis y diseño de un sistema para la extracción, análisis y comparación de precios de tiendas en la ciudad de Bogotá D.C.

Abstract

The present degree's work proposes the design and development of a technological solution that provides to the people a tool with which they can visualize information related to the products available in stores of the city of Bogota D.C. and their price variations. This proposal covers the whole problem, contemplating the process of extracting product data periodically using web scraping and scripting techniques, proposing a supervised learning model using multilayer neural networks for the categorization of products and, finally, creating a web portal with information search capabilities of data previously collected and categorized.