Scrape useful layers from map.utoronto.ca

[qasim]

Check out http://map.utoronto.ca/ and how there are so many layers. If any of the layers make sense, let's build a scraper for them.

[kashav]

Started a LayersScraper subclass for all layers' scrapers. Don't know if this is even required, but it seems like scraping each layer is gonna be done similarly.

Also, does it make sense to add this alongside the Scraper superclass? (not really sure if this is the Pythonic way of doing things)

[qasim]

It's a good idea; lots of duplicate code otherwise.

In terms of where to place it, not too sure either. Since its a very basic superclass, we can move scrapers/layers/ to scrapers/scraper/layers/. That way the root directories in scrapers/ will have the scraper/ where all the superclasses are, and the rest of the folders are actually the real scrapers.

[qasim]

Some other layers we should consider:

• Washrooms
• Wireless access points
• Parking lots
• Bicycle racks
• Building entrances (accessibility)

[qasim]

Everything I'd like to see for now from layers has its own issue. Closing this, but will reference it when we decide to go for more.