Efficient Top-k List Extraction from the Web

In todays technological world the largest source of getting the information is World Wide Web. But most information i. e. present on web is of different format for e. g. it may be structured, non-structured. So when user enters any query or top-k items query on search engine he gets many URL linking as result which is time consuming to fetch every URL. So to avoid above problems we present our proposed new technique for extraction of top-k list. It will give exact result which user wants in less time. It describes top-k instance of general interest.