Abstract: The study takes 28 traditional villages in Beijing as the object, through crawling the relevant Internet cultural tourism big data, using the theory of tourism consumer behavior, in turn from the consumer's motivation behavior, experience behavior such as eating, living, traveling and purchasing, consumer evaluation behavior, consumer space-time behavior and other aspects, targeted content analysis, aggregation analysis, etc., comprehensively reveals the behavior portraits of tourists in the traditional villages of Beijing. Generally speaking, the overall tourism experience of the traditional villages of Beijing is good, but the development level is quite different, showing a pattern of cultural tourism supply with ‘individual high-quality products, some bright spots and weak overall influence’, which urgently needs to be improved. At the same time, the Internet big data based on tourist feedback can reasonably reveal the inherent characteristics and problems of traditional villages, which is innovative in the current situation that village tourism data is difficult to obtain.