Compared to traditional hotels, the price of homestay inn has unique spatial distribution characteristics and influencing factors. This research, taking the homestay inn price of Enshi Tujia & Miao Autonomous Prefecture in Hubei province as an example, used data crawling to abtain the homestay inn data from tujia.com to make an interpolation analysis with the aid of ArcGIS 10.5. Then it summarized the spatial distribution characteristics of the homestay inn prices in the study area. Meanwhile, Hedonic price model is built by using SPSS to analyze the influencing factors of homestay inn price in Enshi. Research results indicated that: (1) The cluster effect of the homestay inn price is obvious. It forms three relatively high price areas featured by "one high and two low values". (2) Consumers focus on experience and integration when they choose homestay inn. The internal environment of homestay inn has the most striking influence on the homestay inn price. (3) Provincial highways and scenic spots have significant influence on the homestay inn price, while national highways have a small impact. (4) Pricing of homestay inn varies between different operators. The individual landlords who manage homestay inn ask for higher price. The results provide reference for the location, pricing, accommodation space layout and tourism experience services of homestay inn.