Abstract：Objective：To apply the compatibility regularity of acupoints of acupuncture and moxibustion for obese polycystic ovary syndrome based on data mining. Methods： The China National Knowledge Infrastructure (CNKI) database， Wanfang Knowledge Service Platform， VIP database (VIP) and PubMed were searched for clinical research literature on the treatment of obese polycystic ovary syndrome published from the establishment of the database to September 2022. By using Microsoft Excel 2022， a database was established for standardization and to conduct descriptive analysis of the data. SPSS Modeler18.0 Apriori algorithm was used for association rule analysis and drawing of high-frequency point co-occurrence network diagram. SPSS Statistics 25.0 was used for intergroup clustering analysis and to draw ice column and tree charts. Results：A total of 67 articles were included，involving 98 acupuncture and moxibustion prescriptions，83 acupoints，and 739 times of application frequency of total acupoints. The acupoints of top four application frequency were Guanyuan point (RN 4)，Sanyinjiao point (SP 6)，Tianshu point (ST 25)，and Zusanli point (ST 36)； The channels with top three frequency were the foot yangming stomach channel， ren mai，and the foot taiyang bladder channel. Applied acupoints were mostly distributed in the abdomen and lower limbs；Specific acupoints were mostly front-mu point and back-shu point. The association rule showed that the acupoint combination with the highest support is Guanyuan- Zhongji. The top 20 highfrequency acupoints can be divided into three effective clustering groups. Conclusion： Acupuncture and moxibustion for obese polycystic ovary syndrome focuses on regulating the spleen and stomach，and also soothing the liver and tonifying the kidney. The prescription combination is mainly composed of Guanyuan point (RN 4)， Tianshu point (ST 25)， and Zusanli point (ST 36)， and the syndrome differentiation is supplemented by acupuncture points for resolving phlegm， promoting blood circulation and nourishing blood to improve clinical effects.