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Tracking users' activities on the World Wide Web (WWW) allows researchers toanalyze each user's internet behavior as time passes and for the amount of timespent on a particular domain. This analysis can be used in research design, asresearchers may access to their participant's behaviors while browsing the web.Web search behavior has been a subject of interest because of its real-worldapplications in marketing, digital advertisement, and identifying potentialthreats online. In this paper, we present an image-processing based method toextract domains which are visited by a participant over multiple browsersduring a lab session. This method could provide another way to collect users'activities during an online session given that the session recorder collectedthe data. The method can also be used to collect the textual content ofweb-pages that an individual visits for later analysis

From Videos to URLs: A Multi-Browser Guide To Extract User's Behavior with Optical Character Recognition