TikTok bloggers have a huge number of fans, and their account information and interaction data are scattered on different pages. Relying on manual viewing and copying one by one is not only slow in processing, but also difficult to form fan data with unified fields that can be directly screened and analyzed.
The blogger has a huge number of fans, and manual page turning and collection is very time-consuming.
Fan identity, region and homepage information are scattered and difficult to organize in a unified manner
Missing account data such as number of fans, number of likes, and number of works
Unable to distinguish searchable accounts, private accounts and other statuses in batches
It is difficult to perform standardized comparative analysis on the fan composition of different bloggers
