Web　pages　contain　a　large　amount　of　valuable　information　and　resources,　meanwhile　may　update　at　any　time.　However,　the　current　Web-data　extraction　algorithms　are　generally　targeted　at　specific　web　page　structure.　When　web　pages　update,　the　problem　which　is　caused　by　the　changes　of　web　pages　may　be　encountered,　leading　to　the　inability　to　extract　web　page　information　or　wrong　information.　In　order　to　solve　this　problem,　this　paper　proposes　a　new　method　to　extract　the　feature　values　of　each　area　in　the　web　page　through　page　rendering,　and　then　combine　the　DOM　tree　structure　of　the　page,　semantic　similarity　and　other　information,　so　that　it　can　still　extract　the　target　data　correctly　after　the　structure　of　the　web　page　changes.　©　2019　IEEE.