DTM- Extracting Data Records from Search Engine Results Page using Tree Matching Algorithm

In this paper, we develop a non-visual automatic wrapper for extracting data records from search engine results page. The novel techniques for our wrapper are (1) filtering rules to detect and filter out irrelevant data records, (2) a tree matching algorithm using frequency measures to increase the speed of data extraction (3) an algorithm to calculate the number and size of the components of data records to detect the correct data region. Results show that our wrapper is as robust and in many cases outperforms the state of the art wrappers such as ViNT and DEPTA. This wrapper could have significant speed advantages when processing large volumes of web sites data, which could be helpful in meta search engine development.