Abstract Deep Web has been an important resource on the web due to its rich and high quality information, lead- ing to emerging a new application area in data min- ing and information retrieval and integrates. In web- scale Deep Web data integration tasks, where there may be hundreds or thousands of data sources providing data of relevance to a particular domain, It must be inefficient to integrate all available Deep Web sources. This paper proposes a data source selection approach based on the quality of Deep Web source. It is used for automatic finding the highest quality set of Deep Web sources related to a particular domain, which is a premise for effective Deep Web data integration.