This article concentrates on the automatic extraction of collocations, defined by the Explanatory and Combinatorial Lexicology as phraseological units composed by two elements – the base and the collocate. The aim of this article is to propose a methodology to follow in order to automatically extract collocations from a terminological corpus. This method takes into account different measures: the syntactic dependences between the items of the collocation, their frequency, their tendency to co-occur (PMI) and their specificity to the e-commerce domain. After having explained the theoretical framework, the methodology is illustrated using a pilot study of the French terminology of e-commerce. In the pilot study, data were extracted from a corpus made up of e-commerce texts, which are drawn from a larger corpus called DIACOM-fr, a corpus in the process of being built at the University of Verona within the project Digital Humanities Applied to Foreign Languages and Literatures. Data extraction was primarily done using two tools: Stanza a Python natural language analysis package developed by the Stanford NLP group and TermoStat an automatic extractor tool developed at the Observatoire de Linguistique Sens-Texte of the University of Montreal.