A Jupyter notebook was created for each batch of API calls in order to not exceed the API call limit. The notebook would iterate through the list of movie IDs to make each API call. From the result of each call, data was extracted and added to the respective list. We extracted the following pieces of information for each movie: title ID, box office, country, genre, director, metascore, production, rating, IMDB rating, rotten tomatoes rating, runtime, title, type, and IMDB votes. After all the calls were completed, these lists were combined into a single data frame. Any duplicate rows were dropped. This was done in case a title id had been repeated and a call for one movie was made twice. This data frame was then exported as a CSV to later be cleaned and transformed. These CSVs are attached to the right.