A Microblog Data Acquisition Method Based on Follow-Group Mode

To effectively analyze micro blogging public opinion information, micro blog data acquisition is a vital first step. For directional Weibo users´ data acquisition, traditional Application Programming Interface (API) and directional Web crawler are conditional. This paper focuses on the opinion leaders on Sina Weibo, who are divided into several categories in different fields by their label characteristics and previous published contents. A method of micro blog data acquisition based on follow-group mode is presented in this paper by making full use of Weibo working features. It can receive opinion leaders´ micro blog message list, which system pushes automatically. By experimental analysis, the method of follow-group is practical and feasible. Compared with traditional methods, it can avoid the possible suspension of Sina Weibo account and get micro blog important data without missing. Moreover, it can guarantee the integrity and real-time performance of micro blog data, thus providing a comprehensive and accurate data support for analysis of public opinion.