The invention relates to the technical field of application page view statistics, in particular to a user access time characteristic statistic method for Web application. The method comprises the following steps: firstly additionally installing a filter in a Web application program to intercept all requests; then marking the start time when each request begins, and marking the end time after processing; secondarily, maintaining a Cookie list of the request, setting the expiration time of the Cookie to be the same day, then adding the Cookie to the response, returning the Cookie to the Web client, acquiring a status code of the request response, regarding the Cookie as an identification, and generating a record for the request; finally calculating and obtaining the time of user single access to the Web application, and obtaining the frequency and the total duration of the user access to the Web application. The method disclosed by the invention can be used for more accurately analyzing the time characteristic of user behavior, and can be used for user access time characteristic statistics of the Web application.