ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.028
A Web Application for the Collection and Comparison of E-Shop Product Data
Abstract— E-commerce is a highly competitive and constantly growing market. On-line retailers need to
compare their product offers with those of their competitors in order to remain competitive. Due to the large
range of product offers on the Web and the fact that internet prices are adjusted on a daily basis or even more
frequently the manual comparison of on-line product offers is a very time consuming task. Therefore, on-line
retailers prefer the use of automated tools for performing that work. There are many existing ready-to-use
software tools and on-line services from price comparison websites to market intelligence tools, but those
tools still require a greater effort for the configuration of the tool or the comparison of the offers. The
contribution of this paper is a Web application to automatically identify, extract and compare the product
offers of the own e-shop with those of defined competitors. The specialties of the presented Web application
are its degree of automation and the little effort for configuration.
Index Terms— web mining, web data extraction, e-commerce.
Andrea Horch, Holger Kett, Anette Weisbecker
Fraunhofer Institute for Industrial Engineering IAO, GERMANY
Cite: Andrea Horch, Holger Kett, Anette Weisbecker, "A Web Application for the Collection and Comparison of E-Shop Product Data," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 167-179, Tokyo, 17-19 June, 2016.