The development of the tourism industry serves as a crucial pathway for guiding urban spatial vitality, making the study of the matching relationship between the spatial distribution characteristics of tourist attractions and regional spatial vitality particularly important for the advancement of the tourism sector. This study combines Amap POI data and Weibo sign-in data, employing various quantitative methods, including Kernel Density Estimation (KDE), Hotspot Analysis (Getis-Ord Gi*), and the Geographically Weighted Regression (GWR) model, to thoroughly explore the distribution characteristics of different grades of tourist attractions in Xinjiang and their matching relationship with spatial vitality. The findings indicate that AAAAA attractions are primarily concentrated in Urumqi and its surrounding areas, where spatial vitality highly matches the distribution of attractions. The distribution of AAAA attractions shows regional differences, exhibiting higher matching degrees in certain areas of southern and western Xinjiang, while some regions in northern Xinjiang demonstrate lower matching degrees. Conversely, AAA attractions are more widely distributed in remote areas, where the matching between vitality and attraction distribution is low, particularly in southern and eastern Xinjiang, revealing a notable mismatch between tourism resources and spatial vitality. By analyzing the matching relationship between tourism resources and spatial vitality, this study provides a scientific basis for optimizing the allocation of tourism resources in Xinjiang and enhancing regional tourism spatial vitality. Additionally, this study also offers valuable insights for tourism managers and planners to formulate more precise tourism development policies.