Nowadays, most of researches about social network use data from foreign social network platforms. However the largest social network platform Sina Weibo in China has no data interfaces for investors. A Sina Weibo data crawler combined with parallelization technology was put forward. It got fans information and Weibo data content of different weibo users in real-time. It also supported key words matching and parallelization. The serial data crawler and its parallel version were compared, and an experiment about flu was conducted on some Weibo data. The results indicate that, with parallelization, this tool has liner speedup and all the fetching data are with timeliness and accuracy.