For movie data extraction, I have used Python to access movie data. I have imported the omdb package. Next, I set up the omdb API to be used to pull movie data. Finally, I used the search() method to extract movie data. For the target keywords, I have extracted title, imdb ID, year of release & movie type. Here, I have set to calls limit to 20, since it allowed only a limited of API calls per day. The page count can be extended upto 100.

http://www.omdbapi.com/

“Canada”, “University”, “Moncton”, “Halifax”, “Toronto”, “Vancouver”, “Alberta”, “Niagara”.

• movie_extraction.py: This python script file has the code for API setup, movie data extraction for title, imdb ID, year of release & movie type and data cleaning process.

• movie_extraction_pt2.py: Script to extract movie rating, genre, and plot from the stored movie data.

• movie_data_cleaned.json:

For all the movie data, I have removed emoticons, symbols, pictographs, transport/map symbols, flags(iOS), special characters and tags. For removing the special characters, I have used regex substitution. For cleaning all the emojis, symbols, etc. I have created a separate custom function named “clean_emoji”. This function also performs a regex operation to substitute and clean data.