python爬虫获取小区经纬度以及结构化地址

本文实例为大家分享了python爬虫获取小区经纬度、地址的具体代码，供大家参考，具体内容如下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

本文实例为大家分享了python爬虫获取小区经纬度、地址的具体代码，供大家参考，具体内容如下

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+'®ion='+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__

以上就是本文的全部内容，希望对大家的学习有所帮助。