In an era dominated by digital connectivity, understanding online behaviours and identities has become increasingly pertinent, particularly in the context of immigrant communities. This talk proposes a novel approach to identify immigrants online through the collection and analysis of digital breadcrumbs. By leveraging social media data, I aim to uncover patterns indicative of immigrant status. The proposed approach involves a multifaceted data collection strategy, encompassing both structured and unstructured data sources. This includes mining textual data for language use, cultural references, and migration-related keywords, as well as analysing network structures and connections within online communities. Additionally, geolocation data and temporal patterns are utilised to further refine the identification process. Through the collection of digital breadcrumbs, this research seeks to contribute to a deeper understanding of immigrant experiences in the digital realm, shedding light on their online behaviours, interactions, and identities. This has implications for various fields, offering insights into the integration processes and social dynamics within immigrant communities in the digital age.