Journal of Research in Computer Application &Management. ISSN :2231-4245. Vo.4.Issue 9.2014 CRAWLING TWITTER DATA A.Pappu Rajan 1, and S.P.Victor 2 1. Research Scholar, Department of Computer Science and Research Center, St.Xavier’s College (Autonomous), Palayamkottai, Tirunelveli, Tamil Nadu, India 2. HOD , Department of Computer Science & Director of Computer Science and Research Center , St.Xavier’s College(Autonomous), Palayamkottai, Tirunelveli ,Tamil Nadu, India ABSTRACT The aim of this paper is to present an outline for how extracting data from twitter. The explosion of Web 2.0 and due to the large volume of data from web resources such as discussion forum, review sites, blogs, digital forum and social media. A substantial amount of research has been directed towards mining these texts and concludes on the overall meaning of the users and to assign a grade to the result under discussion. Mine this available huge data to make it proper use and presentable , giving right solution to a particular problem is a big real challenge .After getting the result form twitter , the data can be analyzed and predict future trend or taking efficient decision on the particular problem. In this paper deals with an introductory idea about the Twitter, TWITTER API, Streaming API, Open Authorization (OAuth) Workflow, Register OAuth credentials to twitter R session. Keywords: Twitter Data, Extracting data from Twitter, Twitter API INTRODUCTION In an era of technology with increasing number of smart gadgets and decreasing cost of internet service has led people to interact in virtual worlds, universally known as social networking sites. Sites like Facebook, Twitter, LinkedIn, Hi5, Myspace, etc., has made use of internet as a communication point which surpassed the traditional communication platform of real world. The ease of sharing information in various fields like education, social issues, job related issues and entertainment had made it still more popular. Seventy five per cent of internet users in India are in the age group of 15-34. Adding to it the young population all over the world see it as a newest online trend to express all their feelings, emotions, humiliations, sadness, and joy in the form of posts, tweets, status, videos, pictures etc., without considering the aftermath of their actions. The objective of this paper is to throw lime light on how can we extract or crawl data from Twitter. This paper also concludes with the set of guidelines for social networking users to crawl data from Twitter, the crawled data can be used for further research on opinion mining or sentiment analysis Twitter was created in March 2006 and was officially launched in July 2006. The growth of Twitter has been phenomenal, currently having reached over 200 million users all over the world and handling over 200 million tweets per day. Users sign up for an account on Twitter, and once they have an account they can begin to “TWEET,” which is the terminology for sending a message. Users can subscribe to other user’s tweets, a process known as FOLLOWING. These subscribers are known as “FOLLOWERS.” By default, tweets that a user sends are visible to everyone, however, users can also choose to send tweets specifically to their followers that will not be visible to the public. Users on Twitter are identified by a user name, and this user name is proceeded by the “@” symbol. When a user identifies another user in their tweet by their user name, it will be visible to the public, and the user that is referenced will be notified by Twitter that they have been “mentioned.” [1]