The　existing　multirecord　webpage　extraction　methods　usually　make　overall　longitudinal　analyses　of　the　document　object　model　(DOM)　tree.　The　computional　structural　similarity　is　always　low,　and　therefore　record　regions　can　not　be　identified　correctly.　Different　from　the　previous　work,　a　method　named　data　record　extraction　based　on　DOM　tree　hierarchical　feature　(DEBHF)　is　proposed　to　make　transverse　analyses　of　the　DOM　tree　by　distinguishing　different　roles　of　nodes　at　different　levels.　Thus,　the　problem　of　searching　similar　sub-trees　is　converted　into　the　problem　of　searching　similar　sub-blocks　in　data　blocks.　Finally,　the　two-way　search　for　non-overlapped　and　repeated　sub-blocks　is　adopted　to　segment　the　record　regions.　Experimental　results　show　that　the　proposed　approach　can　deal　with　webpages　which　can　not　be　obtained　by　the　existing　methods　and　the　extraction　results　of　different　data　sources　demonstrate　its　effectiveness.　©,　2015,　Journal　of　Pattern　Recognition　and　Artificial　Intelligence.　All　right　reserved.