@article{frazier_2020, title={Automated Collections Workflows in GOBI: Using Python to Scrape for Purchase Options}, volume={49}, url={https://journal.code4lib.org/articles/15334}, journal={Code4Lib Journal}, author={Frazier, K.}, year={2020}, month={Aug} }
 @article{frazier_davis_vickery_2020, title={Seeing the Forest for Trees: Tools for Analyzing Faculty Research Output}, volume={46}, url={https://doi.org/10.1080/00987913.2020.1806652}, DOI={10.1080/00987913.2020.1806652}, abstractNote={Abstract For academic libraries, because budgetary pressures are nearly universal, it is imperative to evaluate journal packages regularly. This article presents an overview of the data and methods that the NC State University Libraries traditionally uses to evaluate journal packages and presents additional methods to expand our evaluation of publishing and editorial activity. We describe methods for downloading and analyzing Web of Science citation data to identify the most common publishers for NC State affiliated authors as well as the journals in which NC State authors publish most frequently. This article also demonstrates a custom Python web scraping application to harvest NC State affiliated editor data from publishers’ websites. Finally, this article discusses how these data elements are combined to provide a more comprehensive evaluative strategy for our journal investments.}, number={3}, journal={Serials Review}, publisher={Informa UK Limited}, author={Frazier, Katharine and Davis, Hilary and Vickery, John}, year={2020}, month={Jul}, pages={184–189} }