To predict and analyze potential anti-hepatitis B virus quality marker (Q-Marker) of Artemisia rupestris L. based on network pharmacology and fingerprint.Network pharmacology was used to construct a “compound-target-pathway” network to screen and analyze the relevant targets and pathways of A. rupestris.The fingerprints of 18 batches of A. rupestris were established by using HPLC method.OPLS-DA was used to screen out the main components that cause differences between groups,comprehensive prediction Q-Marker of  A. rupestris.Fifteen potential active ingredients were obtained by network pharmacological analysis.Fingerprints of 18 batches of  A. rupestris were established,8 common peaks (chlorogenic acid,rutinum,buddleoside,luteolin,rupestonic acid,apigenin,casticin,absinthin) were identified by standard substance.Finally,based on the concept of Q-Marker and multiple considerations,artemisinic acid,buddleoside,apigenin,and luteolin can be preliminarily potential Q-Markers of  A. rupestris. The Q-Marker predictive analysis of  A. rupestris provides a reference for the quality evaluation of medicinal materials and lays the foundation for clarifying the mechanism of action of its medicinal material basis.