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Community Data Science Course (Spring 2023)/Week 6 coding challenges
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== #2 Yelp API == # Get set up on [https://fusion.yelp.com/ the Yelp Fusion API]. I've put some details on how to do that on the page on a [[Yelp Authentication setup]] page which will likely be very useful! # Install the <code>yelpapi</code> module which is online: there's both [https://pypi.org/project/yelpapi/ a documentation page] on the [https://pypi.org/ the Python Package Index (PyPI) website] and [https://github.com/lanl/yelpapi a Github page with some documentation]. As I said in class, you can either do this by (a) opening a terminal on your system and running <code>pip install yelpapi</code> or you can try running <code>pip install yelpapi</code> in your Jupyter notebook. Reach on out teams or in open lab sessions if you run into trouble. # Create a new <code>.py</code> file (e.g., I called mine <code>yelp_authentication.py</code>) in the same directory as your Yelp notebooks are using and add your API key to it. Then use the <code>import</code> command to use your API key in a notebook without having the key itself visible in the notebook! # Once you've done this, use your yelp data collection notebook to grab a list of 50 businesses of any kind (your choice!), in any city (again, your choice!) using Yelp and the <code>yelpapi</code> module. This should be easy if you modify the notebook from the [[../Week 6 lecture]]. # Once you have done this, add some code so that you save the "raw" JSON output to a <code>.json</code> or <code>.jsonl</code> file (whichever is appropriate). # Now create a second notebook that opens up that file, reads the data, and outputs a TSV file with the the name of the business, the average rating, and at least three other pieces or metadata that are available in the Yelp API.
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