Abstract: Techniques for high precision web extraction using site knowledge are provided. Portions of repeating text are identified in unlabeled web pages from a particular web site. Based on the portions of repeating text, the unlabeled web pages are partitioned into a set of segments. Multiple labels are assigned to respectively corresponding multiple attributes in the set of segments, where assigning the multiple labels comprises applying a classification model to each separate segment in the set of segments. First one or more labels are identified that were erroneously assigned to one or more attributes in the set of segments. Second one or more correct labels for the one or more attributes are determined. The first one or more labels in the set of segments are corrected by assigning the second one or more labels to the one or more attributes.