We consider the problem of automatically extracting general lists from the web. Existing approaches are mostly dependent upon either the underlying HTML markup or the visual structure of the Web page. We present HyLiEn an unsupervised, Hybrid approach for automatic List discovery and Extraction on the Web. It employs general assumptions about the visual rendering of lists, and the structural representation of items contained in them. We show that our method significantly outperforms existing methods. Categories and Subject Descriptors H.2.8 [Database Management]: Database applications— data mining; H.3.1 [Content Analysis and Indexing]: [structured data extraction] Keywords Web lists, Web mining, Web information integration