Data resource and procurement are getting increasingly important in big data era. Crawler technology based on Python has become one of the research hotspots on data acquisition tool. This article applies Python crawler technologies to collect and summarize the information of Netease Cloud's quarterly lyrics and lyrics-related articles. The singer emotion data, word frequency statistics, word cloud visualization, and the degree of singer’preference for time and city are analyzed by Python library and data analysis technology. The research results show that the ballad singer is stable and passionate, and can express his positive feelings through songs, and enjoy the current time and prosperous cities.