Face images and corresponding identities and professions were automatically extracted from WikiData using SPARQL and Python's Requests library. Then four state-of-the-art feature extraction methods (FaceNet, ArcFace, OpenFace, Dlib) and common clustering algorithms were compared by their accuracy to cluster faces based on a person’s professional domain.