The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information. Research in web mining tries to address this problem by applying techniques from data mining and machine learning to Web data and documents. The Web Mining is an application of Data Mining. Without the internet, life would have been almost impossible. The data available on the web is so voluminous and heterogeneous that it becomes an essential factor to mine this available data to make it presentable, useful, and pertinent to a particular problem. Web Mining deals with extracting these interesting patterns and developing useful abstracts from diversified sources. The present study examined 3320 global Web Mining research publications, as indexed in Web of Science database during 2009- 18, with a view to understand their growth rate, prolific authors, highly productivity affiliated institutions, and country-wise contributions of the publications.