To address these gaps, we introduce Chemspyd, an open-source Python API specifically designed for Chemspeed platforms. This API enables real-time, adaptive control of Chemspeed instruments, empowering researchers to seamlessly integrate these robotic platforms into custom workflows and automated or self-driving laboratories (SDLs). We use three experimental case studies to demonstrate how Chemspyd can be used for experiments in the chemical and materials sciences. Most importantly, Chemspyd is designed as a modular and expandable open-source project, and can therefore serve as a blueprint for the development of similar interfaces that meet the evolving demands of modern, flexible, and customizable automated laboratories.