This project uses Python to retrieve and filter object metadata for the collections of three different art museums in the United States: The Metropolitan Museum of Art in New York City; The Cleveland Museum of Art; and the Harvard Art Museums in Cambridge, MA. The aim of the project is to provide flat data for discovering and comparing collecting trends at each institution in the 21st century.

Each of the institutions had code written specifically for the manner and methods offered by that institution. As currently written, each Python script crawls the collection database to identify any object which was accessioned by that institution in the 21st century (2001 – present). It then retrieves select pieces of metadata and writes them out to a csv file.