Extraction of Web Content Based on Content Type

Today, World Wide Web has become an integral part of our life. We have entered into a digital era where everything we need is available online. For every task or information we think of, there exists a website for it. With so many websites running over the internet the amount of useless scripts, images, ads, videos, link have increased exponentially. These irrelevant information is making the sites heavy and taking a lot of resources to load properly. If these types of contents are removed from the site or at least restrict them from loading, then the surfing speed will improve a lot and a more precise and concise site will be loaded which will be easier to view and accurate. This paper proposes a method to load the contents of a website like links, images, videos, etc., as per user requirement and demand. Runtime tests have been performed on different types of websites such as educational sites, blogs, personal websites, e-commerce sites, etc. Results from these tests have been included in this paper which emphasize the fact that a concise and on demand loading of heavy web contents make web surfing easier and efficient.