1. A computer-implemented method, performed by one or more computing devices, for aggregating product information for use in a product database including various products arranged in categories within a taxonomy, the method comprising the steps of: receiving, by at least one of the one or more computing devices, a plurality of records; grouping, by at least one of the one or more computing devices, one or more records of the plurality of records into a cluster, wherein the cluster corresponds to a product and the one or more records are grouped into the cluster based on a probability determination that the one or more records correspond to the product; scraping, by at least one of the one or more computing devices, one or more attribute values from each of the records in the cluster to generate one or more scraped attribute values; merging, by at least one of the one or more computing devices, the one or more scraped attribute values from each of the records in the cluster to determine one or more product attribute values for the product based at least in part on a confidence rating associated with at least one of the one or more scraped attribute values; and categorizing, by at least one of the one or more computing devices, the product in the taxonomy according to the one or more product attribute values.