In recent years, process mining has shifted towards an object-centric perspective on processes, considering interacting sub-processes that operate on objects from different types. Since businesses are hesitant to publicly share such event data that may expose business internals, there is a lack of public real-world object-centric event logs. We propose a novel approach to use publicly accessible game data as a large-scale data source for object-centric event logs. The contributions of this paper include (1) a framework to extract object-centric event logs from real-time strategy game data, (2) an application of that framework for the game Age of Empires II, (3) a published Python library to automatically transform Age of Empire gameplays into an object-centric event log, (4) a publicly accessible object-centric event log extracted from 325,398 gameplays, and (5) an evaluation of the published aoe2pm library. The evaluation shows that the extracted event logs can be used by state-of-the-art applications to generate relevant behavior insights that require an object-centric perspective. The size and attribute richness of the object-centric event log motivate future research questions in the field of object-centric process mining.