The invention relates to a topic crawler system based on social labels, which comprises a page acquisition module, a page processing module, a correlation calculation module, a storage module, a link extraction module and a link analysis module. The system makes full use of the social labels of web pages, utilizes the properties that the social labels are the acknowledged description on page contents and are closer to actual contents described by the web pages to judge the correlation of the web pages, and applies the correlation to a network topic crawler to guide the crawling direction of the crawler and provide high-quality webpage data contents for a topic search engine. The system well uses the network bandwidth resources to reduce unnecessary expenditure during web page acquisition,adopts different storage modes aiming at different requirements to reduce the consumption of IO, and adopts a multi-level cache mechanism to reduce blockage and improve the efficiency of the crawler.Under the support of the social labels, the system optimizes a crawler framework, and provides an optimal webpage data set for subsequent other processing flows of the topic search engine.