Data is important for businesses to understand competition and market preferences. It is just as useful for hobbyists, journalists and students. At one time people used to search for information in libraries, books and journals. Now the web has become the de-facto source of current and archived data. As such, anyone who needs information first turns to the web because it is easy and convenient to source data. There are different methods of extracting data from a website. There are different methods that show how to extract data from a website. A few are examined below.
Manual method This is the most primitive form of extracting data from a website. An individual navigates to a website and then to specific pages, copy-pastes text into a word processor and then spends time on refining data so extracted. He has to do this for each page and for each website. He can save pages and then extract useful text. It is the most laborious and time consuming of all methods to get data from website. Semi-automatic method Anyone with familiarity with scripting and programming can create wrappers. This is nothing but a set of extraction rules that automate the task of data extraction from websites. In this method users may specify specific strings of text, images, audio or video. This is followed by classification of data extracted from websites. However, this does require manual intervention in