  Web usage mining is a process of extracting useful information from server
logs i.e. users history. Web usage mining is a process of finding out what
users are looking for on the internet. Some users might be looking at only
textual data, where as some others might be interested in multimedia data. One
would retrieve the data by copying it and pasting it to the relevant document.
But this is tedious and time consuming as well as difficult when the data to be
retrieved is plenty. Extracting structured data from a web page is challenging
problem due to complicated structured pages. Earlier they were used web page
programming language dependent; the main problem is to analyze the html source
code. In earlier they were considered the scripts such as java scripts and
cascade styles in the html files. When it makes different for existing
solutions to infer the regularity of the structure of the Web Pages only by
analyzing the tag structures. To overcome this problem we are using a new
algorithm called VIPS algorithm i.e. independent language. This approach
primary utilizes the visual features on the webpage to implement web data
extraction.
