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I think we can parse the URLs from here and then scrape the HTML from each URL.
The only other approach (as far as I can tell) would be to form a list of all possible id_list values and all possible sport values and then use those (id_list values map to buildings/locations, but not the same ones from the buildings dataset 🙃).
Also, looks like they're only providing data for a week at a time? I think this means that we can't merge this dataset with athletics. Schema can probably remain the same though (minus building_id).
Wow, can't say I'm surprised of the inconsistent building IDs 🙃
We could also limit athletics to just the current week, maybe. Perhaps that's trying too hard to accommodate for this and we should have another endpoint.
The drop-in sports schedules at UofT SG seems more structured now:
https://kpe.utoronto.ca/sports-and-rec
There are still some differences between sports, but all seem scrape-able. We should take advantage of this.
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