Abstract: Deep web comprises the online database, which generates web pages dynamically in response to a user query. The extracted data is used for many applications like meta querying and comparison shopping. For these applications the data is embedded in HTML pages. The automatic data extraction is necessary for utilizing these data. Only when the data are extracted and organized in a structured manner, such as tables, they can be compared and aggregated. An effective data extraction and alignment approach is used which utilizes both tag and value similarity in a web page. This method automatically extracts data from query result pages by identifying and segmenting the query result records (QRRs) in a query result page. The segmented QRRs are arranged in a table accordingly with data values from the same attribute.