The ascomycete Botrytis cinerea is a phytopathogenic fungus infecting and causing significant yield losses in a number of crops. Moreover, in the last few years, B. cinerea has been adopted as an important model system in molecular phytopathology. In spite of these contributions, the molecular basis of the infection cycle remains unclear. Proteomic approaches have revealed significant information about the infective cycle of several pathogens, including B. cinerea. The main aim of this study is to make available a proteomic database containing a significant number of identified proteins from B. cinerea. In brief, three independent B. cinerea cultures supplemented with carboxymethylcellulose were used, and the extracted proteins were independently separated by 2-D PAGE to obtain the proteome map from B. cinerea. Two hundred and sixty-seven spots were selected for MALDI TOF/TOF MS analysis, resulting in 303 positive identifications, mostly representing unannotated proteins. Identified proteins were then classified into categories using the PANTHER classification system (www.pantherdb.org), showing the relevance of protein metabolism and modification process and oxidoreductase activity. Since cellulose is one of the major components of the plant cell wall, many of the identified proteins may have a crucial role in the pathogenicity process. In brief, this proteomic map of B. cinerea will be a useful basis for exploring the proteins involved in the infection cycle, which will in turn provide new targets for crop diagnosis and focused fungicide design.