Ride-hailing applications have revolutionized urban transportation, with their widespread adoption growing globally. Despite their convenience, these apps have raised concerns about the potential for misuse and the crimes they facilitate. Limited research exists on the forensic aspects of ride-hailing applications, particularly in the context of Android platforms. This study focuses on conducting a forensic investigation into two Android ride-sharing applications, Taxi Stockholm and Sverigetaxi. The research aims to identify forensically relevant artifacts recoverable from these apps. Therefore, the research work aims to answer the following question: What type of forensically relevant artifacts can be recovered from the ride-sharing mobile applications Taxi Stockholm and Sverigetaxi that could be relevant for forensic investigators? Using a case study approach as the research strategy, this study uses systematic observations and data extraction from forensic tools for the collection of digital artifacts. The qualitative data analysis method, content analysis, is applied to analyze the collected data. By obeying ethical principles, the research ensures data integrity, confidentiality, and privacy. The study recovered and analyzed various artifacts, that includes Rider info (First Name, Last Name, Gmail Address, Phone Number), Credit card details, Company details, booking details, Trip payment invoice details, Trip start and end address, Timestamps, GPS Coordinates, Continuous Routes, and Vehicle details that were extracted from the ride hailing applications. However, limitations of the study include its small-scale nature and the focus on only two specific ride-hailing applications on the Android platform.