I built this over the weekend as a way of learning Python and web.py, and having a play with Bootstrap (I'm absolutely no designer).
The idea is to use Facebook check-ins as a metric of popularity for any kind of place you're looking for — bars, restaurants, parks, coffee shops — anywhere people have checked into.
Unfortunately for a lot of popular places, their Facebook pages are un-managed so a lot of descriptions are unavailable. I'm not really sure if there's a use for this, but it was a fun way to try Python, and I have to say I'm really impressed with how quick it was to get something up and running with web.py.
I think I'll continue to work on it a bit more as each place found could be queried further individually to get more information, and it could use some form of pagination. At the moment the results page is produced from a single API call, and limited to around the 25 most popular spots found. I had considered allowing the user to input the search radius (by default, 10km), but decided on simplicity over customisability in the end.
The idea is to use Facebook check-ins as a metric of popularity for any kind of place you're looking for — bars, restaurants, parks, coffee shops — anywhere people have checked into.
Unfortunately for a lot of popular places, their Facebook pages are un-managed so a lot of descriptions are unavailable. I'm not really sure if there's a use for this, but it was a fun way to try Python, and I have to say I'm really impressed with how quick it was to get something up and running with web.py.
I think I'll continue to work on it a bit more as each place found could be queried further individually to get more information, and it could use some form of pagination. At the moment the results page is produced from a single API call, and limited to around the 25 most popular spots found. I had considered allowing the user to input the search radius (by default, 10km), but decided on simplicity over customisability in the end.