Google maps places api python谷歌地圖API(獲取商戶信息)

時間 2019-12-07

標籤 google maps places api python 谷歌地圖獲取商戶信息欄目 Google 简体版

原文原文鏈接

google官方文檔
GoogleMaps Geocoding API：https://developers.google.com/maps/documentation/geocoding/geocoding-strategies
GoogleMaps Places API Web Service：https://developers.google.com/places/web-service/search?hl=zh-twpython

使用的python包：
http://github.com/slimkrazy/python-google-places
https://github.com/googlemaps/google-maps-services-pythongit

前提條件：你可以正常訪問Google！
若是不能正常訪問到google就想用GoogleMaps，那這就比較尷尬了，我也很無奈。github

1.準備工做
你得有個google帳號，打開https://console.developers.google.com/apis/credentials?project=imperial-palace-174906&authuser=0web

1.1建立google項目獲取項目祕鑰
若是還沒建立項目的話，那先建立個項目,我這裏是建立了一個googlemaps的項目 json

請記住3中圈中的祕鑰，咱們代碼中要使用到。api

1.2在項目中添加googleMaps服務：Google Maps Geocoding API，Google Places API Web Service
在剛剛建立的項目庫中，添加googleMaps的Google Maps Geocoding API和Google Places API Web Service app

（因爲我已經添加了，因此列表中是沒有顯示的）python2.7

1.3而後在信息中心就能夠看到你剛纔添加的兩個maps服務函數

上面的圖片是最近是用項目祕鑰請求這個maps服務的一些圖標post

2.安裝python所需的包（我使用的是python2.7.12版本）
兩個包分別是：
http://github.com/slimkrazy/python-google-places （警示：這個包存在一個嚴重的bug，詳情：http://blog.csdn.net/dongyouyuan/article/details/77169560）
pip安裝：pip install python-google-places
https://github.com/googlemaps/google-maps-services-python
pip安裝：pip install -U googlemaps
你會發現googlemaps中也有python-google-places中的功能，想問我爲毛還用一個第三方的包，然而我真的無言以對，鬼知道我當初爲何用這個包。0.0（我當時搜google maps places api python 第一個就是 http://github.com/slimkrazy/python-google-places就用了）後面看有沒有時間，對比一下這包和google官方包的區別
————-2017-08-04補充———————————————————————————————————–
看了一下googlemaps中的python-google-places的功能，發現其返回地點的內容實在是少，只有寥寥無幾的幾個字段。 http://github.com/slimkrazy/python-google-places中詳細程度真的是很厲害。所用用它是沒錯的

{
"rating": 5,
"name": "STR Analytics",
"reference": "CmRRAAAAEyrq32Ve7RKLtI6CWpaAoTFrR2yVWlKTfnbNTmCRLj3yXcIs2k6H45JPPwPZyIpMPxEBfVIqdD9BTWekJliAvgX_OH-FJyYUWnso9oZ2CjN97I2GWhXTSK1TBUo3HBVxEhDRxa-R4nxh8UqHeJPi9LHtGhQ6VMxxTnuXCwm9vZgY0IcnTaqQhg",
"geometry": {
"location": {
"lat": 39.9148173,
"lng": -105.1206877
},
"viewport": {
"northeast": {
"lat": 39.9158015802915,
"lng": -105.1193284197085
},
"southwest": {
"lat": 39.9131036197085,
"lng": -105.1220263802915
}
}
},
"place_id": "ChIJ1VlFO-Tta4cRGQHpjODHvXU",
"formatted_address": "11001 W 120th Ave, Broomfield, CO 80021, United States",
"id": "b0003b168c40b2d378933f440b7f9a4116187dc5",
"types": [
"point_of_interest",
"establishment"
],
"icon": "https://maps.gstatic.com/mapfiles/place_api/icons/generic_business-71.png"
},
—————2017-08-04補充完畢————————————————————————————————————

3.簡單粗暴的代碼
#!/usr/bin/env python
# -*- coding: utf-8 -*-

# @Author: Dongyouyuan
# @Software: PyCharm
# @File: googleMap.py
# @Time: 17-8-2 上午11:31

from googleplaces import GooglePlaces
import googlemaps

import sys

reload(sys)
sys.setdefaultencoding('utf8')

class GoogleMaps(object):
"""提供google maps服務"""

def __init__(self):

self._GOOGLE_MAPS_KEY = "你的祕鑰"
self._Google_Places = GooglePlaces(self._GOOGLE_MAPS_KEY)
self._Google_Geocod = googlemaps.Client(key=self._GOOGLE_MAPS_KEY)

def _text_search(self, query, language=None, location=None):
"""
根據搜索字符串,請求google API傳回推薦的列表
:param query: 搜索字符串
:param language: 語言
:param location: 地區篩選
:return:
"""
# lat_lng = {"lat": "22.5745761", "lng": "113.9393772"}
# 經緯度附近搜索
# text_query_result = self.self._Google_Places.text_search(query='Gong Yuan', lat_lng=lat_lng)
# location 爲人可認識的名稱
# text_query_result = self.self._Google_Places.text_search(query='Tang Lang Shan', location='shenzhen')
# 指定語言搜索
text_query_result = self._Google_Places.text_search(query=query, language=language, location=location)
return text_query_result.places

def _reverse_geocode(self, lat, lng, language=None):
"""
根據經緯度請求google API獲取座標信息,返回信息
:param lat: 緯度
:param lng:經度
:param language:語言
:return:
"""
# 根據經緯度獲取地址信息 pincode
list_reverse_geocode_result = self._Google_Geocod.reverse_geocode((lat, lng), language=language)
# print json.dumps(list_reverse_geocode_result, indent=4)
return list_reverse_geocode_result

def _return_reverse_geocode_info(self, lat, lng, language=None):
"""
整理信息
:param lat:緯度
:param lng:經度
:param language:語言
:return:
"""
list_reverse_geocode = self._reverse_geocode(lat, lng, language=language)
if list_reverse_geocode:
city = ''
pincode = ''
route = ''
neighborhood = ''
sublocality = ''
administrative_area_level_1 = ''
country = ''
street_number = ''
# 全名地址
formatted_address = list_reverse_geocode[0]['formatted_address']
for address_info in list_reverse_geocode[0]['address_components']:
# 城市標識爲locality
if 'locality' in address_info['types']:
city = address_info['long_name']
# 郵政編碼標識爲postal_code
elif 'postal_code' in address_info['types']:
pincode = address_info['long_name']
# 街道路
elif 'route' in address_info['types']:
route = address_info['long_name']
# 類似地址名
elif 'neighborhood' in address_info['types']:
neighborhood = address_info['long_name']
# 地區名
elif 'sublocality' in address_info['types']:
sublocality = address_info['long_name']
# 省份
elif 'administrative_area_level_1' in address_info['types']:
administrative_area_level_1 = address_info['long_name']
# 國家
elif 'country' in address_info['types']:
country = address_info['long_name']
# 門牌號
elif 'street_number' in address_info['types']:
street_number = address_info['long_name']
return {'city': city, 'pincode': pincode, 'route': route, 'neighborhood': neighborhood,
'sublocality': sublocality, 'administrative_area_level_1': administrative_area_level_1,
'country': country, 'formatted_address': formatted_address, 'street_number': street_number}
else:
return None

def get_pincode_city(self, lat, lng, language=None):
"""
根據經緯度獲取該地區詳細信息
:param lat: 緯度
:param lng: 經度
:return:
"""
reverse_geocode_info = self._return_reverse_geocode_info(lat, lng, language=language)
if reverse_geocode_info:
return {'city': reverse_geocode_info['city'], 'pincode': reverse_geocode_info['pincode']}
else:
return None

def get_address_recommendation(self, query, language=None, location=None):
"""
獲取輸入地址的推薦地址(最多返回5個)
:param query: 搜索地址名稱
:param language: 語言
:param location: 地區篩選
:return:
"""
return_size = 5
list_return_info = list()
list_places_text_search_result = self._text_search(query=query, language=language, location=location)
# 默認返回5條數據
if len(list_places_text_search_result) > return_size:
list_places_text_search_result = list_places_text_search_result[:return_size]
for place in list_places_text_search_result:
result_geocode = self._return_reverse_geocode_info(place.geo_location['lat'], place.geo_location['lng'], language=language)
# 數據不爲空
if result_geocode:
# 地點全路徑加上地點名
result_geocode['formatted_address'] = '{} {}'.format(place.name, result_geocode['formatted_address'])
result_geocode['place_name'] = place.name
# 經緯度
result_geocode['lat'] = '{}'.format(place.geo_location['lat'])
result_geocode['lng'] = '{}'.format(place.geo_location['lng'])
list_return_info.append(result_geocode)
return list_return_info

if __name__ == '__main__': # 使用實例 import json google_maps = GoogleMaps() result_recommendation_list = google_maps.get_address_recommendation(query='天河公園', language='zh', location='中國') pincode_city = google_maps.get_pincode_city(22.547143, 114.062753) print json.dumps(result_recommendation_list, indent=4, encoding='utf-8') print '*'*100 print pincode_city 4.輸出結果 { "code": 0, "data": { "address_recommendation": [ { "administrative_area_level_1": "廣東省", "city": "廣州市", "country": "中國", "formatted_address": "天河公園中國廣東省廣州市天河區天河公園華翠街66號", "lat": "23.1267447", "lng": "113.3679628", "neighborhood": "天河公園", "pincode": "", "place_name": "天河公園", "route": "華翠街", "street_number": "66", "sublocality": "天河區" }, { "administrative_area_level_1": "廣東省", "city": "廣州市", "country": "中國", "formatted_address": "天河公園（東門）中國廣東省廣州市天河區天河公園華翠街66號", "lat": "23.12583799999999", "lng": "113.368506", "neighborhood": "天河公園", "pincode": "", "place_name": "天河公園（東門）", "route": "華翠街", "street_number": "66", "sublocality": "天河區" }, { "administrative_area_level_1": "廣東省", "city": "廣州市", "country": "中國", "formatted_address": "天河公園（西門）中國廣東省廣州市天河區天河公園天府路139號", "lat": "23.128752", "lng": "113.363186", "neighborhood": "天河公園", "pincode": "", "place_name": "天河公園（西門）", "route": "天府路", "street_number": "139", "sublocality": "天河區" }, { "administrative_area_level_1": "廣東省", "city": "廣州市", "country": "中國", "formatted_address": "天河公園（南1門）中國廣東省廣州市天河區天河公園黃埔大道中199號", "lat": "23.12312", "lng": "113.365254", "neighborhood": "天河公園", "pincode": "", "place_name": "天河公園（南1門）", "route": "黃埔大道中", "street_number": "199", "sublocality": "天河區" }, { "administrative_area_level_1": "廣東省", "city": "廣州市", "country": "中國", "formatted_address": "天河公園（北1門）中國廣東省廣州市天河區天河公園中山大道西246號-540號郵政編碼: 510640", "lat": "23.131274", "lng": "113.367319", "neighborhood": "天河公園", "pincode": "510640", "place_name": "天河公園（北1門）", "route": "中山大道西", "street_number": "246號-540號", "sublocality": "天河區" } ] }, "msg": "ok" } **************************************************************************************************** {'city': u'Shenzhen Shi', 'pincode': u'518000'} 5.代碼解析以上代碼已經有很清晰的註釋了，可是我仍是要簡單明瞭的說一下吧。 GoogleMaps類提供兩個對外服務的方法： get_address_recommendation：根據用戶的搜索字符和地區過濾，得到最多5條的返回結果，值得一提的是該函數的參數language是控制返回結果的語言，也就是說，你能夠搜query是park，location=’America’,language=’zh’， get_pincode_city：根據經緯度獲取該地區的郵政編碼和城市名稱（我作了截取，只截取了城市和郵政編碼，事實上能夠獲取該地區的全部詳細信息，你能夠打印get_pincode_city方法裏面的reverse_geocode_info變量，你會有驚喜的發現） --------------------- 做者：DHogan 來源：CSDN 原文：https://blog.csdn.net/dongyouyuan/article/details/76618442 版權聲明：本文爲博主原創文章，轉載請附上博文連接！

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