Tom Keith - https://github.com/tomkeith
IMDb has a great url structure for scraping. Using Star Wars for example: www.imdb.com/title/tt0076759/. The IMDb ID - here tt0076759 - is all that is needed to fetch the page.
IMDb IDs can be sourced from the IMDb open datasets where these unique IDs are represented in the tconst column.
IMDb's open dataset was lacking some key features needed for my Movie Genre Prediction project. Most notably it only had 3 genres (the first three alphabetically), where as IMDb.com can have 1-7 genres. Additionally, IMDb's open data does not have any text data (for example plot summary), something I also needed for NLP.
Those reasons are the inspiration behind creating this scraper.
The function imdb_scrape has an optional second parameter (boolean) to save the movie poster (default location is /posters/ folder).
The main function imdb_scrape is meant to be ran in a loop. The notebook is not meant to be run all at once. Rather, the main cell (that is not a function) is mean to be manually updated before each running of the cell. See notes before that cell.