Introduction one of the extensions of the data mining consists in applying their techniques to documents and Web services, what is called Web Mining (web mining). Used for the study of several essential aspects of a site and helps to discover trends and relationships in the behaviour of users who serve as tracks for, for example, improve the usability of a site. All those who visit a site on the Internet leave fingerprints (addresses IP, browser, cookie sheets, etc.) that servers automatically stored in a log of accesses (log). Web Mining Tools analyze and process these logs to produce meaningful information, for example, how is a client navigation before you make a purchase online. Since Internet content consist of various types of data, such as text, image, video, metadata or nonlineal, recent research use the term multimedia data mining (mining of multimedia data) as an instance of the web mining to treat such data. Total access by domain, schedules more frequent accesses and visits per day, among other data, they are registered by statistical tools that complement the entire process of analysis of the web mining. In short we can say that the entire process consists of the integration of information obtained through traditional methods of data mining with information gathered on the web, i.e. data mining applied to the specificities of the web. Types of web texts (Web Mining) Mining Web Mining helps us to discover information, find related documents, show themes, determine the degree of satisfaction of web resources, etc. According to the desired end, the activity of digging on the web is broken down into three domains of knowledge according to the nature of the data extraction: Web content (web content mining) mining Web usage mining (web usage mining) El Web Mining for Web Mining structure content, attempts to discover the Organization of links of all hyperlinks within the document to generate a report structural on the page and the website. e.