Detecting scraper bots through scroll behaviour
Summary
The post explores using burstiness and memory of scroll events to differentiate humans from scraper bots, drawing on prior research. It describes a dataset and a LightGBM model that achieve 73.4% accuracy, and discusses real-world limitations and potential for combining features like mouse movement for improved bot detection.