External demand plays a guiding role in the revitalization strategy of historical districts. In the past, the renewal process of historical districts often failed to accurately establish the supply-demand relationship between the internal and external environments due to the lack of a systematic diagnosis of the demand for the surrounding environment, leading to issues such as poor functional adaptability and inappropriate positioning after the renovation of the district. This study takes the Dalian Liansuo Street historical district as the research object. Based on open-source internet data combined with ArcGIS kernel density and network analysis tools, it establishes an external demand determination system for historical districts from both macro and micro perspectives. The aim is to provide references for clarifying the developmental positioning of historical district renewal, optimizing the allocation of public resources, and promoting vitality regeneration.