Hybrid foraging is a type of visual search in which observers search for multiple instances of several types of targets. Looking for different target types allows us to study the diverse strategies used in search, such as responding in runs (consecutive target selections) or switches (alternations between targets), and adapting the length of runs depending on tasks demands. Importantly, we can study how those strategies affect performance by examining searching time or whether observers leave a patch when it is optimal (or not). In human research both dynamic and static tasks have been used to study observers’ performance in hybrid foraging, however they have not been compared within the same study to determine how movement may affect performance and strategies in such tasks. In the present study, 29 young adults performed three hybrid foraging situations under different dynamicity conditions: static (no movement), dynamic I (slow-44 pixels/sec) and dynamic II (fast-88 pixels/sec), using the FORAGEKID task (Gil-Gómez de Liaño & Wolfe, 2022). We found significantly more runs for the slowest dynamic condition, but no differences showed up in the length of those runs. Movement also significantly affected quitting rules showing observers leave earlier in static situations in a suboptimal way according to MVT, but in all the conditions staying longer than the optimal (MVT ratio <1). Altogether, the results show that movement has an impact in foraging performance worth further investigation given the dynamic nature of many human natural foraging tasks like searching for friends in a crowd.