Data acquisition systems (DAQs) have a significant role in acquiring data for convenient analysis. With the spread of the Internet of Things, DAQs with remote access are in high demand in industry. The massive usage of free cloud storage provides an opportunity to build a remote DAQ that provides accessible data around the world. In this paper, a remote setting and DAQ for a fuel cell stack are presented. A prototype was made using Arduino Yun, sensors, and actuators. A data server from Flask Python was built using the Linux side processor of Arduino Yun. Then, the acquired data were sent to Google Drive and saved as Spreadsheets files. A user interface (UI) based on HTML was provided in Google Sites. The UI was used to display the data in table and graph form as well as to set the timing values of the purge valve. Google Apps Script was used to manage data communication with Arduino Yun and also manage the data stored on Google Drive. The proposed system takes 3 s to send data from Arduino to Google Drive, while the time taken to update the purge valve time values is 6 s.