基于bs4+requests的蓝房网爬虫(进阶版)

1.代码可以直接运行,请下载anaconda并安装，用spyder方便查看变量
或者可以查看生成的excel文件
2.依赖库，命令行运行(WIN10打开命令行快捷键：windows+x组合键，然后按a键)：
pip install BeautifulSoup4
pip install requests
3.爬取的网站是蓝房网(厦门)二手房，可以进入http://xm.esf.lanfw.com/sell_zhuzhai/p1?keyword=/进行观察
4.关于如何判断代码是python2还是python3,print('')为python3，print ''为python2
简而言之就是print需要用括号的就是python3,下面代码如是。
5.爬取538个页面并进行解析，程序运行后需要等待大概500秒

# -*- coding: utf-8 -*-
"""
Created on Mon Jan 15 23:30:28 2018

@author: Administrator
"""

def getHousesDetails(url):
  import requests
  from bs4 import BeautifulSoup
  request = requests.get(url)
  request.encoding = 'utf-8'
  soup = BeautifulSoup(request.text,'lxml')
  houses = soup.select('.houseTxt')
  housesDetails = []
  for house in houses:
    title = house.select('.txtLeft h2 a')[0].text
    communityNameAndAddress = house.select('.txtLeft p')[0].text.strip('查看地图').split()
    communityName = communityNameAndAddress[0]
    if(len(communityNameAndAddress) == 2 ):
      address = communityNameAndAddress[1]
    else:
      address =''
    details = house.select('.txtLeft p')[1].text.split(' | ')
    print(details)
    houseSizeType = details[0]
    houseFloor = details[1]
    houseDecoration = details[2]
    houseBuiltTime = details[3]
    if len(details) == 6 :
      houseOrientation = details[4]
      houseUnitPrice = details[5]
    elif len(details) == 5 :
      houseOrientation = ''
      houseUnitPrice = details[4]
    elif len(details) == 4 :
      houseDecoration = ''
      houseOrientation = ''
      houseBuiltTime = details[2]
      houseUnitPrice = details[3]
    price = house.select('.housePrice')[0].text
    squaremeter = house.select('.squaremeter')[0].text
    keywords = house.select('.houseTab')[0].text
    #上面是获取房子的信息，下面将其做成字典
    houseDetails = {
        'title' : title,
        'communityName' : communityName,
        'address' : address,
        'houseSizeType': houseSizeType,
        'houseFloor' : houseFloor,
        'houseDecoration' : houseDecoration,
        'houseBuiltTime' : houseBuiltTime,
        'houseOrientation' : houseOrientation,
        'houseUnitPrice' : houseUnitPrice,
        'price' : price,
        'squaremeter' : squaremeter,
        'keywords' : keywords
        }
    housesDetails.append(houseDetails)
  return housesDetails

def getAllHousesDetails():
  maxPageNumber = 538
  urlBefore = 'http://xm.esf.lanfw.com/sell_zhuzhai/p{}?keyword='
  allHousesDetails = []
  for i in range(1,maxPageNumber+1):
    url = urlBefore.format(i)
    allHousesDetails.extend(getHousesDetails(url))
  import pandas
  dataFrame = pandas.DataFrame(allHousesDetails)
  return dataFrame

if __name__ == '__main__':
  allHousesDetails = getAllHousesDetails()
  allHousesDetails.to_excel('lanfwSecondHandHouseDetails2.xlsx')