Keywords extraction, that is the process of extracting the most important and relevant words from a text or a set of texts, is one of the core components of every News Aggregator Service. This paper elaborates how Markov Chain can be used for extracting nouns from a set of news articles, and then ranking them in order to extract the top five. The process involves noun extraction using POS tagger, construction of a graph of extracted nouns, and PageRank algorithm for ranking nouns.