Google maps places api python谷歌地图API(获取商户信息)

时间 2019-12-07

标签 google maps places api python 谷歌地图获取商户信息栏目 Google 繁體版

原文原文链接

google官方文档
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

前提条件：你可以正常访问Google！
若是不能正常访问到google就想用GoogleMaps，那这就比较尴尬了，我也很无奈。github

1.准备工做
你得有个google帐号，打开https://console.developers.google.com/apis/credentials?project=imperial-palace-174906&authuser=0web

1.1建立google项目获取项目秘钥
若是还没建立项目的话，那先建立个项目,我这里是建立了一个googlemaps的项目 json

请记住3中圈中的秘钥，咱们代码中要使用到。api

1.2在项目中添加googleMaps服务：Google Maps Geocoding API，Google Places API Web Service
在刚刚建立的项目库中，添加googleMaps的Google Maps Geocoding API和Google Places API Web Service app

（因为我已经添加了，因此列表中是没有显示的）python2.7

1.3而后在信息中心就能够看到你刚才添加的两个maps服务函数

上面的图片是最近是用项目秘钥请求这个maps服务的一些图标post

2.安装python所需的包（我使用的是python2.7.12版本）
两个包分别是：
http://github.com/slimkrazy/python-google-places （警示：这个包存在一个严重的bug，详情：http://blog.csdn.net/dongyouyuan/article/details/77169560）
pip安装：pip install python-google-places
https://github.com/googlemaps/google-maps-services-python
pip安装：pip install -U googlemaps
你会发现googlemaps中也有python-google-places中的功能，想问我为毛还用一个第三方的包，然而我真的无言以对，鬼知道我当初为何用这个包。0.0（我当时搜google maps places api python 第一个就是 http://github.com/slimkrazy/python-google-places就用了）后面看有没有时间，对比一下这包和google官方包的区别
————-2017-08-04补充———————————————————————————————————–
看了一下googlemaps中的python-google-places的功能，发现其返回地点的内容实在是少，只有寥寥无几的几个字段。 http://github.com/slimkrazy/python-google-places中详细程度真的是很厉害。所用用它是没错的

{
"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补充完毕————————————————————————————————————

3.简单粗暴的代码
#!/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服务"""

def __init__(self):

self._GOOGLE_MAPS_KEY = "你的秘钥"
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):
"""
根据搜索字符串,请求google API传回推荐的列表
:param query: 搜索字符串
:param language: 语言
:param location: 地区筛选
:return:
"""
# lat_lng = {"lat": "22.5745761", "lng": "113.9393772"}
# 经纬度附近搜索
# text_query_result = self.self._Google_Places.text_search(query='Gong Yuan', lat_lng=lat_lng)
# location 为人可认识的名称
# text_query_result = self.self._Google_Places.text_search(query='Tang Lang Shan', location='shenzhen')
# 指定语言搜索
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):
"""
根据经纬度请求google API获取坐标信息,返回信息
:param lat: 纬度
:param lng:经度
:param language:语言
:return:
"""
# 根据经纬度获取地址信息 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:纬度
:param lng:经度
:param language:语言
: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']:
# 城市标识为locality
if 'locality' in address_info['types']:
city = address_info['long_name']
# 邮政编码标识为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']
# 类似地址名
elif 'neighborhood' in address_info['types']:
neighborhood = address_info['long_name']
# 地区名
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']
# 国家
elif 'country' in address_info['types']:
country = address_info['long_name']
# 门牌号
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):
"""
根据经纬度获取该地区详细信息
:param lat: 纬度
:param lng: 经度
: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):
"""
获取输入地址的推荐地址(最多返回5个)
:param query: 搜索地址名称
:param language: 语言
:param location: 地区筛选
:return:
"""
return_size = 5
list_return_info = list()
list_places_text_search_result = self._text_search(query=query, language=language, location=location)
# 默认返回5条数据
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)
# 数据不为空
if result_geocode:
# 地点全路径加上地点名
result_geocode['formatted_address'] = '{} {}'.format(place.name, result_geocode['formatted_address'])
result_geocode['place_name'] = place.name
# 经纬度
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__': # 使用实例 import json google_maps = GoogleMaps() result_recommendation_list = google_maps.get_address_recommendation(query='天河公园', language='zh', location='中国') 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.输出结果 { "code": 0, "data": { "address_recommendation": [ { "administrative_area_level_1": "广东省", "city": "广州市", "country": "中国", "formatted_address": "天河公园中国广东省广州市天河区天河公园华翠街66号", "lat": "23.1267447", "lng": "113.3679628", "neighborhood": "天河公园", "pincode": "", "place_name": "天河公园", "route": "华翠街", "street_number": "66", "sublocality": "天河区" }, { "administrative_area_level_1": "广东省", "city": "广州市", "country": "中国", "formatted_address": "天河公园（东门）中国广东省广州市天河区天河公园华翠街66号", "lat": "23.12583799999999", "lng": "113.368506", "neighborhood": "天河公园", "pincode": "", "place_name": "天河公园（东门）", "route": "华翠街", "street_number": "66", "sublocality": "天河区" }, { "administrative_area_level_1": "广东省", "city": "广州市", "country": "中国", "formatted_address": "天河公园（西门）中国广东省广州市天河区天河公园天府路139号", "lat": "23.128752", "lng": "113.363186", "neighborhood": "天河公园", "pincode": "", "place_name": "天河公园（西门）", "route": "天府路", "street_number": "139", "sublocality": "天河区" }, { "administrative_area_level_1": "广东省", "city": "广州市", "country": "中国", "formatted_address": "天河公园（南1门）中国广东省广州市天河区天河公园黄埔大道中199号", "lat": "23.12312", "lng": "113.365254", "neighborhood": "天河公园", "pincode": "", "place_name": "天河公园（南1门）", "route": "黄埔大道中", "street_number": "199", "sublocality": "天河区" }, { "administrative_area_level_1": "广东省", "city": "广州市", "country": "中国", "formatted_address": "天河公园（北1门）中国广东省广州市天河区天河公园中山大道西246号-540号邮政编码: 510640", "lat": "23.131274", "lng": "113.367319", "neighborhood": "天河公园", "pincode": "510640", "place_name": "天河公园（北1门）", "route": "中山大道西", "street_number": "246号-540号", "sublocality": "天河区" } ] }, "msg": "ok" } **************************************************************************************************** {'city': u'Shenzhen Shi', 'pincode': u'518000'} 5.代码解析以上代码已经有很清晰的注释了，可是我仍是要简单明了的说一下吧。 GoogleMaps类提供两个对外服务的方法： get_address_recommendation：根据用户的搜索字符和地区过滤，得到最多5条的返回结果，值得一提的是该函数的参数language是控制返回结果的语言，也就是说，你能够搜query是park，location=’America’,language=’zh’， get_pincode_city：根据经纬度获取该地区的邮政编码和城市名称（我作了截取，只截取了城市和邮政编码，事实上能够获取该地区的全部详细信息，你能够打印get_pincode_city方法里面的reverse_geocode_info变量，你会有惊喜的发现） --------------------- 做者：DHogan 来源：CSDN 原文：https://blog.csdn.net/dongyouyuan/article/details/76618442 版权声明：本文为博主原创文章，转载请附上博文连接！