Scraping 2018-2019 NBA Scores

By Daniel Lee

January 4, 2019

Description

This is a web scraper that extracts 2018-2019 NBA scores from espn.com.

Data Scraping Implementation

• The data is obtained through scraping the espn.com website using the following:
  • Python (v. 3.6.7)
  • Scrapy (v. 1.5.1)
  • Splash (v. 0.7.2)
• The data is stored in a MongoDB database.
• The web scraping app is deployed on Heroku.

REST API Implementation

• You can access the scraped data using 2018-2019 NBA Scores API.
• You can access the code for the API here.
• The REST API is implemented using the following:
  • Python (v. 3.6.7)
  • Flask (v. 1.0.2)
• This API is connected to a MongoDB database to access the data.
• The API is deployed on Heroku.
• There's also an /auth route and a /register route for authentication and logging in. This requires Postman to use. For simplicity's sake, I removed the authentication requirements for the routes /team, /city, /date, /team_list, and /city_list.