In the last decade, many researchers and applications focused on street view systems' geo-spatial and multimedia content. However, most street view systems have high data collection costs and have out of date content in certain regions. An efficient and effective street view system reflecting real world multimedia content on a weekly basis has been an elusive goal. We present GrabView, a street view system that: • Uses a data capture during ride sharing service trips model. • Collects up-to-date geo-referenced multimedia content atlow cost. • Processes both the multimedia and geo-sensor content. • Serves a navigation and browsing user experience equivalent to that from dedicated mapping vehicles. Grab ride hailing service vehicles collect most of GrabView's geo-sensor data and multimedia content. This results in much better up-to-the-minute road network coverage at no extra cost.