Remote photoplethysmography (rPPG) is a low-cost technique for measuring physiological parameters, such as heart rate, by analyzing videos of a person. This study aimed to develop an open-source rPPG methodology and test its performance on videos collected via an online platform, without control over the hardware or contextual variables. Two experiments were conducted to compare the rPPG extraction results with a validated dataset and finger pulse oximeter data. The results indicated that the rPPG algorithm was highly accurate, showing significant convergence with both datasets, making it a valuable tool for recording and analyzing heart rate in online experiments. The study highlights the potential of rPPG in psychological and physiological research, particularly in large and diverse samples, and addresses limitations such as video quality and physiological arousal.Remote photoplethysmography (rPPG) is a low-cost technique for measuring physiological parameters, such as heart rate, by analyzing videos of a person. This study aimed to develop an open-source rPPG methodology and test its performance on videos collected via an online platform, without control over the hardware or contextual variables. Two experiments were conducted to compare the rPPG extraction results with a validated dataset and finger pulse oximeter data. The results indicated that the rPPG algorithm was highly accurate, showing significant convergence with both datasets, making it a valuable tool for recording and analyzing heart rate in online experiments. The study highlights the potential of rPPG in psychological and physiological research, particularly in large and diverse samples, and addresses limitations such as video quality and physiological arousal.