Urban greenspace accessibility (UGA) has positive effects on people’s health, well-being, and overall sustainability of urban areas. Existing studies inconsistently use various methods of modeling greenspace accessibility and often focus on specific city contexts. This caused an inadequate understanding of how to model UGA for any urban areas better. Here we tested and compared two widely used spatial accessibility modeling approaches, gravity and (enhanced) two-step floating catchment (E2SFCA) models and propose a reproducible and scalable methodology for modeling UGA using open data. Our results indicated that although both approaches have pros and cons, E2SFCA is better for modeling UGA.