The business intelligence gathering system is different from the traditional search engine system. The data classification and clustering techniques of the traditional search engine can not fully meet the special needs of timeliness and pertinence in the business intelligence gathering process. This paper presents a solution to business intelligence gathering, by using Bayesian classification algorithm and deleting duplicated web pages algorithms in the cloud computing environment to achieve internet data''s real-time capturing, analysis, classification and clustering, and form the omnibearing and three-dimensional intelligence noumenon of users. The amount of data captured is stored in a distributed file system. The gathered information is stored in the cloud database CouchDB.