Online worlds offer a massive display of people’s lives including their creative activities. In the present study, we investigated do-it-yourself (DIY) videos on YouTube to explore the type and prevalence of everyday creative behaviors. DIY is a term associated with the production of original and effective products, and, like YouTube, typically features amateur-generated content. As such, this setting allowed us to gain insight into the creative behavior that happens in our homes, garages, and front yards. Using two topic modeling approaches, STM and BERTopic, we analyzed a set of approximately 13000 videos from three mainly English-speaking countries (Australia, UK, USA) that were published between 2019 and 2021. STM identified 9 broad domains of creative behavior, such as decoration, Garden & Home, and Textiles, which are partly similar yet also extend domain classifications of established creativity measures. BERTopic identified 135 narrow topics of creative activities (e.g., Facemasks, Jewelry, Photography) that provide deep insights into the actual diversity of everyday creative behavior. Further analyses revealed differences in popularity between domains and uncovered plausible time dynamics of specific topics. Our results indicate thatleveraging data-driven approaches to study creativity in online environmentscomplements traditional methods in offering new insights on both the diversity and prevalent domains of everyday creative behavior.