Gathered fids and polygon geo-data
Polygon data allows for efficient address-based representation of geographical data, e.g. apartments in a locality. Categorization of the polygons would be a major task, but the hierarchical address structure Google uses can be crawled using the fid data. This allows us to build a polygon tree for easy clustering and matching, e.g. nearby locality search
State-aware and distributed
The crawler was state-aware, which allowed for resuming on faults, including arbitrary timeouts from Google servers. The independent query design of the system allowed for multiple instances to be run parallely without overlap. This increased throughput time directly by number of cores.