Under the background of the implementation of the rural revitalization strategy and the transformation of social contradictions, the rural Landscape Cultural Service (LCS) has become an important motivation for the evolution of rural landscape. At present, there is a gap between the research on the spatial differentiation of rural landscape and the diversified development of rural landscape functions. Taking a typical mountain village as an example, using multi-source data such as rural recreation digital footprint, this paper proposes a rural landscape differentiation and type identification method based on the combination of supply capacity (S), potential demand (D) and perceived preference (P) of rural landscape cultural services. The study area is divided into five rural landscape identification areas, and the MaxEnt model is used to analyze the impact factors of landscape perception preference in different rural landscape types. The results show that the spatial distribution of supply, demand and preference of LCS in mountainous villages was significantly different. and the S-D-P relationship of rural LCS was characterized by aggregation and regionality. The landscape management in the five identified areas required values, rules and actions on a collective scale; At the same time, it is found that most of the public’s landscape preference are concentrated in the dry land landscape, while the preference difference in the forest land landscape is the largest. At the same time, the factors that affect the perception preference in the paddy field, dry land and forest land are different. This research can provide theoretical support for the management of rapidly evolving and differentiated rural landscape.