In this paper we present a methodology to extract information from the Web to build a taxonomy of terms and Web resources for a given domain. This taxonomy represents a hierarchy of classes and gives to the user a general view of the kind of concepts and the most significant sites that he can find on the Web for the specified domain. The system uses intensively a publicly available search engine, extracts concepts (based on its relation to the initial one and statistical data about appearance), selects and categorizes the most representative Web resources of each one and represents the result in a standard way.