Python爬虫获取小区经纬度以及获取结构化的地址

    通过小区名称利用百度api可以获取小区的地址以及经纬度，但是由于api返回的值中的地址形式不同，所以可以首先利用小区名称进行一轮爬虫，获取小区的经纬度，然后再利用经纬度Reverse到小区的结构化的地址。另外小区名称如果是'...号‘,可以在爬虫开始之前在’号‘之后加一个’院‘,得到的精确度更高。这次写到程序更加便于二次利用，只需要给程序传递一个dataframe就可以坐等结果了。现在程序已经写好了，就等接下来在工作中看看效果如何了。

class GetAddressInfo:
        def __init__(self,df):
            import pandas
            assert type(df) == pandas.core.frame.DataFrame and ('city' in df.columns) and ('name' in df.columns),\
            'The dataframe is not vailid'
            from bs4 import BeautifulSoup 
            from urllib import request
            import re
            import pandas as pd
            import numpy as np
            import urllib.parse as urp
            self.__data__ = df
        def get_address(self):
            import numpy as np
            self.__data__['小区经度'] = np.nan
            self.__data__['小区纬度'] = np.nan
            self.__data__['小区地址'] = np.nan
            for i in self.__data__.index:
                self.__data__.loc[i,'小区纬度'],self.__data__.loc[i,'小区经度'],self.__data__.loc[i,'小区地址'] =\
                                                                                        self.__get_neigbour_address__(self.__data__.loc[i,'name'],\
                                                                                           self.__data__.loc[i,'city'])
            return self.__data__
        def __lat__(self,res):
            try:
                return pd.to_numeric(re.findall('"lat":(.*)',res)[0].split(',')[0])
            except:
                return 0
        def __lng__(self,res):
            try:
                return pd.to_numeric(re.findall('"lng":(.*)',res)[0])
            except:
                return 0
        def __address__(self,res):
            try:
                return re.findall('"address":"(.*)",',res)[0]
            except:
                return 'None'
        
        def __get_neigbour_address__(self,name,city):
            my_ak = ##替换自己的ak
            qurey = urp.quote(name)
            tag = urp.quote('住宅区')
            try:
                url = 'http://api.map.baidu.com/place/v2/search?query='+qurey+'&tag='+tag+'&region='+urp.quote(city)+'&output=json&ak='+my_ak
                req = request.urlopen(url)
                res = req.read().decode()
                lat = self.__lat__(res)
                lng = self.__lng__(res)
                address = self.__address__(res)
                return lat,lng,address
            except:
                return 0,0,'None'


class ReverseGetAddress:
    def __init__(self,data):
        assert ('小区纬度' in data.columns) and ('小区经度' in data.columns) and ('name' in data.columns),\
        'The DataFrame is not vailid'
        from bs4 import BeautifulSoup 
        from urllib import request
        import re
        import pandas as pd
        import numpy as np
        import urllib.parse as urp
        self.__data__ = data
    def __get_address1__(self,url):
        try:
            req = request.urlopen(url)
            res = req.read().decode()
            address = re.findall('address":"(.*?)"',res)[0]
            return address
        except:
            return 'None1'
    def __to_string__(self,arr):
        return str(arr)
    def __get_address2__(self):
        my_ak = ##替换自己的Ak
        base_url1 = 'http://api.map.baidu.com/geocoder/v2/?callback=renderReverse'
        base_url2 = '&location='
        base_url3 = '&pois=0&radius=1&output=json&pois=1&ak='
        url = base_url1+base_url2+self.__data__['小区纬度'].apply(self.__to_string__)+','\
        +self.__data__['小区经度'].apply(self.__to_string__)+base_url3+my_ak
        return url
    def get_address(self):
        url = self.__get_address2__()
        self.__data__['小区地址'] = url.apply(self.__get_address1__)
        return self.__data__