This manuscript addresses the intrinsic limitation of single-operator CDRs for cross-border analysis by leveraging geolocated social media traces. It proposes a feature-based ML pipeline for identifying cross-border commuters across three European border regions and reports up to 98% accuracy under cross-validation in distinguishing routine commuters, including a zero-shot transfer evaluation across regions.