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ADS 509: Data Acquisition with APIs and Scraping

Acquiring data is one of the fundamental steps in any analysis and proficiency at APIs and web scraping unlocks rich data sets for future analyses. In this assignment, you will scrape lyrics from AZlyrics.com.

Instructions:

  1. Create a repository under your GitHub account from this template: https://github.com/37chandler/ads-tm-scrape. Instructions can be found here. Make your repository public or add your instructor’s Github account as a collaborator.
  2. Choose two musical artists for your project. Both should have at least twenty songs at their artist page on AZLyrics. Those pages have forms like this: https://www.azlyrics.com/r/robyn.html.
  3. The file “Lyrics Scrape.ipynb” holds your starting code for this assignment.
    • This file holds starting code for the assignment. Follow the instructions in that notebook, pulling and storing the lyrics for both artists.
    • The final part of the notebook holds the evaluation code. If you’ve completed the assignment correctly, you should be able to just run this section as is.

Things to leave out of your repo

  1. Do not include the raw data in the repository. The .gitignore file is set up to ignore the lyrics/ folder. Git attempts to track every character change in every committed file, so committing a large data file and then making any modification to it can result in a repository that is large and hard to work with.

Assignment Materials:

Deliverables:

  • When you have finished your code, print your notebook as PDFs and upload these documents to Canvas.
  • Commit your code and push the changes to GitHub so your instructor has access to the ipynb notebook files and any other code you create.

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