Please see documentation.pdf for details of this project.

Tutorial presentation video link: https://mediaspace.illinois.edu/media/t/1_1oc9euqb

pip install pandas
pip install sklearn
pip install nltk
python -m nltk.downloader stopwords
pip install collections
pip install flask
pip install flask-cors
pip install csv
pip install bs4
pip install selenium
pip install time

Download Node.js by this link: https://nodejs.org/en/download/

If node and npm is not detected after downloading, try to restart your computer.

Download Chrome Driver by this link: https://chromedriver.chromium.org/downloads

Choose the same version as your chrome and save it in the root directory of this project.

1.If you want to create a new data csv file by using scraper, then follow this instruction. Note that this will rewrite videos.csv file and scraping also takes a long time (approximately 20 minutes).

• Run netflix scraper in the root directory by command:
  python -m scraper.main

If you just want to test scraper, then follow these instructions.

• Go to ‘constant.py’ in ‘scraper’ folder, change value of NUMBER_EACH_GENRE to 2, change value of NUMBER_SECTION to 3. Go to ‘utils.py’ and change value of CSV_TO_WRITE to ‘test.csv’

• Then run netflix scraper in the root directory by command:
  python -m scraper.main

2.If you want to open the video recommender web application, then follow these instructions.

• Run flask app in the root directory by command:
  python -m flask_app

• Run react app in the "video-recommender-app" directory by command:
  cd video-recommender-app
npm install
npm start