The aim of the present contribution is to discuss the first results of the application of web scraping techniques to derive co-authorship data among scholars. A semi-automatic tool is adopted to retrieve metadata from a platform introduced for managing and supporting research products in Italian universities. The co-authorship relationships among Italian academic statisticians will be used as basis to analyze updated collaborations patterns in this scientific community.
