I've sniffed most of the Tinder API to see how it works. You can use this to create bots (etc) very trivially. Some example python bot code is here -> https://gist.github.com/rtt/5a2e0cfa638c938cca59 (horribly quick and dirty, you've been warned!)
Note: this was written in April/May 2014 and the API may have changed since. I have nothing to do with Tinder, nor their API, and I do not offer any support for anything you may build on top of this
Full examples:
Base url: https://nowtoronto.com/api/search
| { | |
| "acc": "N", | |
| "accessibility": "Not Accessible", | |
| "address": "33 Victoria St Unit 150, Toronto, ON M5C 2A1", | |
| "application": "Drop in, with appropriate supporting documents (call ahead or see website) * many forms can also be completed and submitted online", | |
| "fees": "Fees for some transactions", | |
| "fid": 149105, | |
| "freePhone": "Ontario-wide 1-800-267-8097", | |
| "hours": "Mon-Wed, Fri 9 am-5 pm; Thu 9 am-7 pm; Sat 9 am-1 pm", | |
| "intersection": "Yonge St and King St W", |
This dataset is generated from running this scraper on the Toronto Data Catalogue, like so:
scrapy runspider toronto_data_portal/spiders/portal.py -o data/open-data-catalogue-datasets.json
We use this dataset to generate data.toronto.io community data catalogue itself for the city-managed portion of the site.
| diff --git a/ca_on_toronto/__init__.py b/ca_on_toronto/__init__.py | |
| index bda98f5..82d7281 100644 | |
| --- a/ca_on_toronto/__init__.py | |
| +++ b/ca_on_toronto/__init__.py | |
| @@ -4,6 +4,19 @@ from .jurisdiction import TorontoJurisdiction | |
| import lxml.html | |
| import requests | |
| +# Patch importer to swallow DuplicateItemError for Bill | |
| +import pupa.importers.bills |
| ORGANIZATION_HIERARCHY = { | |
| 'name': { | |
| 'City Council': { | |
| 'name': { | |
| 'Audit Committee': {}, | |
| 'Board of Health': { | |
| 'name': { | |
| '^Board of Health .+' | |
| } | |
| }, |
