Airports are essential to the global economy, providing significant revenue and driving regional growth. In order to remain competitive and achieve sustainable development, airports must continuously monitor and improve service quality. To this end, understanding traveller perceptions of their experiences is important. While traditional survey-based methods are beneficial, managers are increasingly looking for alternative ways of collecting feedback, such as online reviews. Automated text analysis provides a cost- and time-effective technique with which to analyse large datasets of unsolicited online reviews, providing managers with strategic insights to enhance service quality. This study explores the potential of supplementing traditional airport service quality monitoring methods with automated text analyses to better understand traveller feedback and improve service quality. The results provide new methods to measure airport service quality, offering a fresh perspective on customers’ satisfaction with service quality experiences, and highlighting key strategic implications that can help organisations gain a competitive advantage.