Spatial crowdsourcing platforms (SCP) are systems that allow someone, or something, to publish spatial tasks in order to find suitable workforce to perform it. These tasks require people, often using mobile devices, to be at a given location in order to accomplish them. SCPs have been source of much interest for both academy and industry. For this reason, Doan argued in 2011 that the race was now on "toward building general crowdsourcing platforms that can be used to develop such systems quickly". Since then, not much has been done in this matter. More important, there is a gap between what is done in the industry and is proposed in the literature. We propose GENIUS-C, a framework to support the development of SCPs. This framework is based on a generic architecture previously proposed by Fonteles et al., 2016 and designed to bridge the gap between academy and industry. Among other things, GENIUS-C is meant to reduce time-to-market, development cost and effort and increase overall quality of SCPs. A case study SCP has been created using GENIUS-C in order to demonstrate its benefits and how it can be used in the developments of new SCPs.