Purpose/Significance Data mining technology and network pharmacology method are used to analyze medication rules of traditional Chinese medicine (TCM) compound patents in the treatment of liver cancer and action mechanism of its core drug pairs. Method/Process The liver cancer compound patents database is established. Excel, SPSS Modeler, Cytoscape, Origin and RStudio are used to analyze the frequency, efficacy, taste, clustering and association rules, and to discover medication rules and core drug pairs. TCMSP, OMIM, GeneCards and other databases are used to collect drug active ingredients, action targets and liver cancer-related disease targets. The intersection targets, key targets and protein interaction networks are collected through STRING database, and the binding properties of effective active ingredients and key genes are enriched and predicted by using the micro-bio-informatics platform and molecular docking technology. Result/Conclusion TCM compound patents for the treatment of liver cancer focus on the simultaneous regulation of the liver and spleen, detoxification and inhibition of cancer, blood circulation and blood stasis. Astragalus and scutellaria barbata may treat liver cancer through multi-component, multi-target, and multi-pathway.