Visual analysis of Liaoning province tourism spots data based on Python in English context

In the information age, big data is extremely important for all walks of life. Web crawling technology is widely used in various fields. The current development situation of tourism in Liaoning Province is made as research database. This research aims to use web crawling technology to capture relevant information about tourism big data on tourism websites and conduct visual analysis based on this. This research employs web crawling technology, uses multiple libraries in web crawling, and applies visual analysis. The results show that the results presented by web crawling technology can accurately and objectively reflect the real phenomena and features of tourism data. The analysis data include the number of tourists in Liaoning Province, the popularity, tourist evaluation, tourism resources and the tourists’ sites distribution in the local, etc. It can provide a data foundation for the tourism industry and play a certain role in formulating policies and suggestions for Liaoning tourism development.