We present a novel neighborhood-scoring system to automate descriptive spatial metrics of neighbourhood quality based on geo-location. The system mines information from various web-based APIs including social media, maps, and environmental services. Collected data is used as input to quantify neighbourhood quality, based on criteria and methodologies identified in recent literature. Furthermore, we provide an example of how the system can be integrated within building design tools. Finally, we discuss how it can be extended to future applications. The work presented here points to a shift towards web-based urban analysis tools, enabled by the growing ubiquity of open data and accessibility online visualization and design platforms.