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Social media (SM) are becoming an important data source about the opinions and the sentiment of their users because they allow to capture in real-time and in a not solicited way what the users think about a certain topic. In Italy Twitter appears to be one of the most used media and it has a greater accessibility and allows a more readily text analysis. This paper presents an attempt of profiling the Italian twitterers (for research purposes only) carried out at national level using a Web Rest API downloading method. This knowledge would allow to better know the representativeness of respondents and, consequently, to correct the strong selectivity of the SM users. The technological/statistical approach used and the main results are presented.