Drugs information systems, prescription support softwares, and drug decision support systems need to reason on drug properties. Combined pharmaceutical products need to be considered specifically because they may require a specific processing. Hence, they also need to be identified to automate the population of databases with up-to-date property values. We defined a set of digital filters designed for the identification of antibiotics in a public database. Four different filters are proposed, to be combined to extract the relevant information. Evaluation was conducted to combine filters and retrieve information about rand combined antibiotics with success. However, information provided in the structured files of the French drug database is limited; information provided in the HTML files suffers from a lack of quality. Hence, reuse of this data and this information should be performed very cautiously.