In this study, a first attempt is made to record the people who deal with the circular economy in 4 European countries (Greece, Germany, Austria and Cyprus), as there are no corresponding data in the literature to date. Furthermore, the present study is based on the study of Tsironis et al (2022), who collected data by LinkedIn registered companies and extracted a lot of interesting findings about them. Their results offered significant perspectives for country-based in depth-analysis on circular economy. Thus, the database from which the individuals' details were drawn is LinkedIn, which is the flagship social media for professionals. On LinkedIn, registered users share a lot of information on their profile about their education level, job title, company/business they are active in, as well as previous years of education or experience. In a few words, we can say with confidence that each user profile is also his personal CV. Taking advantage of LinkedIn's wealth of data, we focused on profiles of people active in the 4 research countries that contain the phrase circular economy at least once. Specifically, primary data mining was carried out from the profiles of LinkedIn users dealing with the circular economy in the four reference countries and then the classification of the user data and the statistical analysis of the results took place. From the quantitative analysis, interesting findings emerged, regarding the number, gender and number of followers for the specific users, which allow us to have a first picture of the professionals involved in the circular economy in some European countries. Finally, through the statistical analysis, important correlations emerged which led us to very useful conclusions concerning the interaction between the processed data.