obtain potencial pos client using google places

get_potencial_clients.py

COMUNA_SEARCH = 'Vitacura'
places = {}
def build_url(info):
  lat = info['geometry']['location']['lat']
  lng = info['geometry']['location']['lng']
  return "http://maps.googleapis.com/maps/api/geocode/json?latlng={},{}&sensor=true&language=es".format(lat,lng)
def get_administrative_area(url, area_level='administrative_area_level_3'):
    try:
      import json
      import urllib2
      request = urllib2.urlopen(url)
      request_data = request.read()
      request_json = json.loads(request_data)
      if "results" in request_json:
          if 'address_components' in request_json['results'][0]:
              address = request_json['results'][0]['address_components']
              for d in address:
                  if 'types' in d:
                      for t in d['types']:
                          if area_level in t:
                              return d["short_name"]
    except:
      pass
    return None
def get_data(url):
  info = requests.get(url)
  data = info.json()
  next_page_token = data.get('next_page_token')
  medical_centers = []
  for result in data['results']:
    url = build_url(result)
    comuna = get_administrative_area(url)
    if comuna == COMUNA_SEARCH: 
      if not places.get(result['place_id']):
        if 'formatted_address' in result:
          places[result['place_id']] = {'name': result['name'], 'address': result['formatted_address']}
        print result['name']
  return next_page_token

import json
import requests
urls = [ 
  'https://maps.googleapis.com/maps/api/place/nearbysearch/json?language=es&location=-33.4481853,-70.6605075&radius=50000&name=centro+medico&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM',
  'https://maps.googleapis.com/maps/api/place/nearbysearch/json?language=es&location=-33.4481853,-70.6605075&radius=50000&name=clinica&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM',
  'https://maps.googleapis.com/maps/api/place/nearbysearch/json?language=es&location=-33.4481853,-70.6605075&radius=50000&name=clinica&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM',
  'https://maps.googleapis.com/maps/api/place/nearbysearch/json?language=es&location=-33.4481853,-70.6605075&radius=50000&name=stripcenter&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM',
  'https://maps.googleapis.com/maps/api/place/textsearch/json?query=centros+medicos+Santiago&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM',
  'https://maps.googleapis.com/maps/api/place/textsearch/json?query=stripcenter&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM',
  'https://maps.googleapis.com/maps/api/place/textsearch/json?query=centros+medicos+Las+Condes&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM']
for url in urls:
  next_page_token = get_data(url)
  while next_page_token:
    next_url = '{}&pagetoken={}'.format(url, next_page_token)
    next_page_token = get_data(next_url)


for k,v in places.items():
  print v['name'], '|', v['address']

url = 'https://maps.googleapis.com/maps/api/place/textsearch/json?query=centros+medicos+Santiago&location=-33.4481853,-70.6605075&key=AIzaSyCGkVWkZ9A4SqNA3WRLLm-HJyEE06g8eDM'