Inside modelBulder, there's the code for the dataScraper, and potentially the ModelBuilder class if you guys decide to go that route (more details in ModelBuilder.js).
This folder just contains various config files. After cloning, copy config-sample.json and rename as config.json. Everything besides the apikey should be in there. The files named params-*.json are all of the "valid" params that the DataScraper class recognizes. The DataScraper class checks against these when adding params, and should throw an error if it receieves an invalid param. They also help as a quick way to grab random params for testing/debugging. nasdaqTickerNames.json could be useful in the future to have the dataScraper class throw an error when trying to add an unknown stock name, though I need to grab a more up to date file containing valid stock names
This file contains the DataScraper class
This file is where the DataScraper caches its requests. I made it this way because otherwise you would have to wait 100ms between requests to the api that we're using, and this speeds things up after the initial requests
A quick example of how to use the datascaper class. It should be fairly straightforward so I didn't actually write any documentation for it. Lmk if something's confusing.