As a bioinformatic strategy, the present study was designed to use a network pharmacology analysis to uncover the pharmacological function and mechanism of puerarin to treat novel coronavirus pneumonia (NPC). Following methodological platforms, all theoretical and pivotal targets, anti-NPC mechanism of puerarin were filtrated and disclosed. As results, the pivotal targets of puerarin to treat NPC were collected and identified, comprising of EGFR, TNF, TP53, CASP3, RELA, FOS, CASP8, PTGS2, IL2, PRKCB, BCL2, PRKCA, NOS3, PPARG. Functionally, the anti-NPC action of puerarin was associated with suppression of oxidative stress and inflammatory cascades, cell apoptosis. Mechanically, the signaling pathways of puerarin to treat NPC were uncovered, including modulation of the pathways of Apoptosis, IL-17 signaling, MAPK signaling, TNF signaling. Molecular docking data illustrated the binding capacity of puerarin with NPC, and effective anti-NPC activity of puerarin. Taken together, our current network pharmacology-based findings revealed the pharmacological biotarget and mechanism of puerarin to treat NPC. Further, the bioinformatics findings elucidated that some of these 14 pivotal targets might serve as the potential molecular markers for detecting NPC, a rapidly emerging and evolving disease.