Abstract: A content extraction method based on extended label tree is proposed.Web page cleaning and auxiliary information for extracting purpose are realized,and the coordinates of position are also set during the construction phase of extended label tree.Text nodes are regarded as the identifiers ofthe content region,then,the neighbor text node set with maximum coverage is selected and revised to form the final content region.Through the neighbor first traversal algorithm,the title node is located and additional properties are extracted.Experimental results show that the proposed method can achieve high-precision for common article page extraction and has good adaptability.

Key words: Web page content extraction, extended label tree, neighbor first traversal