def groceries():
#BROOKLYN={'lat': 40.645244, 'lng': -73.9449975}
BROOKLYN={'lat': 40.692, 'lng': -73.983}
google_places = GooglePlaces(read_api_key())
# You may prefer to use the text_search API, instead.
query_result = google_places.radar_search(
keyword='',
lat_lng=BROOKLYN ,# keyword='Fish and Chips',
radius=1850, types=[types.TYPE_GROCERY_OR_SUPERMARKET])
pts = []
for place in query_result.places:
#print place.geo_location
pts.append((place.geo_location['lng'], place.geo_location['lat']))
return pts
from __future__ import print_function
import simplejson as json
from googleplaces import GooglePlaces, types, lang
import pprint
import re
pp = pprint.PrettyPrinter(indent=4)
# api_key = 'AIzaSyAJ4-7cvzD1FXN2JisaRlTdF3RzfXRUE7o'
api_key = 'AIzaSyCOUNC03eGdEIlkOU6xDHoLeL1E-qb1qg8'
google_places = GooglePlaces(api_key)
# around paderborn
query_result = google_places.radar_search(lat_lng={'lat': 51.71905, 'lng': 8.75439}, keyword='bar', radius=1000)
# id Counter i
i = 1
for place in query_result.places[80:94]:
# make a random token - for verification
place.get_details()
print (place.name)
outputJson = place.details
# pp.pprint(outputJson)
print ('opening_hours' and 'close' and 'open' in str(outputJson))
# lat = str(outputJson['geometry']['location']['lat'])
# lng = str(outputJson['geometry']['location']['lng'])
# # print(('open' in str(outputJson['opening_hours']['periods']))
# print(lat)
# print(lng)
def search(param):
YOUR_API_KEY = random.choice(rankeys)
google_maps = GoogleMaps(YOUR_API_KEY)
google_places = GooglePlaces(YOUR_API_KEY)
ans = param + " restaurants."
origins = param
#origins = origins.decode('utf-8')
prefix = "http://maps.googleapis.com/maps/api/geocode/json?address="
location = param
postfix = "&sensor=false"
urlData = prefix + parse.quote(location.encode('UTF-8')) + postfix
webUrl = urlopen(urlData)
if (webUrl.getcode() == 200):
data = webUrl.read().decode('utf-8')
j = json.loads(data)
try:
lat1 = (j["results"][0]["geometry"]["location"]["lat"])
lon1 = (j["results"][0]["geometry"]["location"]["lng"])
except:
lat1 = 33.5003192
lon1 = 126.5278462
try:
query_result = google_places.radar_search(
location=origins,
radius=300,
language='ko',
keyword='restaurant',
types=[types.TYPE_FOOD, types.TYPE_RESTAURANT])
except:
query_result = google_places.radar_search(
location="제주창조경제혁신센터",
radius=300,
language='ko',
keyword='restaurant',
types=[types.TYPE_FOOD, types.TYPE_RESTAURANT])
# If types param contains only 1 item the request to Google Places API
# will be send as type param to fullfil:
# http://googlegeodevelopers.blogspot.com.au/2016/02/changes-and-quality-improvements-in_16.html
#if query_result.has_attributions:
# print(query_result.html_attributions)
rst = ""
result = {}
data = []
ans = query_result.places
for ind, place in enumerate(ans):
place.get_details()
destination = place.geo_location
if ind > 9:
break
content = {}
# rst+=("####["+str(ind+1)+": "+place.name+"]##")
content['name'] = (str(ind + 1) + ": " + place.name)
distance = distancer(lon1, lat1, float(destination['lng']),
float(destination['lat'])) * 1000
# rst += "##dstance: " +str(round(distance,2))+"m"
content['distance'] = str(round(distance, 2)) + "m"
# rst +="##phone: "+str(place.local_phone_number)
content['phone'] = str(place.local_phone_number)
# rst +="##route: maps.google.com/?daddr="+str(destination['lat'])+","+str(destination['lng'])
# content['find']="http://maps.google.com/?daddr="+str(destination['lat'])+","+str(destination['lng'])
# rst += "##address: " + str(place.formatted_address)
content['addr'] = str(place.formatted_address)
content['lat'] = str(destination['lat'])
content['lng'] = str(destination['lng'])
data.append(content)
result['data'] = data
result['status'] = len(ans)
return result
import googleplaces
from googleplaces import GooglePlaces, types, lang
AUTH_KEY = "AIzaSyCPrWFxTwfbV1LJSMPyEnroNh_Ezb2KEhI"
url = "https://maps.googleapis.com/maps/api/place/nearbysearch/json?&key=" + AUTH_KEY + "&location"
google_places = GooglePlaces(AUTH_KEY)
#google_places = GooglePlaces(AUTH_KEY)
query_result = google_places.radar_search(location='Seoul, Korea',
radius=50000,
keyword='cafe',
type='cafe')
if query_result.has_attributions:
print(query_result.html_attributions)
print(query_result.place_id)
#for place in query_result.place_id:
# print(place.geo_location)
# print(place.place_id)
# place.get_details()
# print(place.details)
# print(place.url) #local_phone_number, website,
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from googleplaces import GooglePlaces, types, lang
import pandas as pd
API_KEY = 'AIzaSyCKxP9RqeiMwqU4lrS0WwNabD55fjs-XHE'
google_places = GooglePlaces(API_KEY)
#query_result = google_places.nearby_search(
# location='หางดง', keyword='ATM หางดง',
# radius=10000)
query_result = google_places.radar_search(keyword="ร้านอาหาร",
location="เมืองเชียงใหม่",
radius=10000)
if query_result.has_attributions:
print(query_result.html_attributions)
'''
iMaxPlacesToFetch = 1000
iPlacesFetched = 0
res_list = []
while iPlacesFetched < iMaxPlacesToFetch:
for place in query_result.places:
place.get_details()
if place.rating > 3:
print('[%i] %s %s' % (iPlacesFetched, place.name, place.rating))
