python爬取58同城二手房信息

二手房信息"/>

python爬取58同城二手房信息

58同城二手房信息爬虫

首先观察网页审核元素，查看网页html，选取所需信息，title、baseinfo、price

# -*- coding:utf-8 -*-

import requests

from bs4 import BeautifulSoup

import csv

import codecs

import sys

reload(sys)

sys.setdefaultencoding('utf8')

s = requests.session()

def getdata(soup):

ul = soup.find('ul',{'class':'house-list-wrap'})

li = ul.find_all('li')

for l in li:

data = []

info = l.find(class_ = 'list-info')

title = info.find(class_ = 'title').get_text(strip = True)

ts = title.split(',')

t = ''.join(ts)

data.append(t.replace('\n','').replace('\r',''))

baseinfo = info.find_all(class_ = 'baseinfo')

for span in baseinfo[0]:

s = str(span.string).replace('\n','').replace(' ','')

data.append(s)

axs = baseinfo[1].span.find_all(name = 'a')#小区信息

if len(axs)== 3:

for a in axs:

ax = str(a.string).replace('\n','').replace(' ','').replace('\r','')

data.append(ax)

else:

ax = baseinfo[1].span.get_text('|',strip = True)

ax = str(ax).replace('\n','').replace(' ','').replace('\r','')

data.append(ax)

data.append('Na')

data.append('Na')

price = l.find(class_ = 'price')

data.append(price.find(class_ = 'sum').text.replace('\n',''))

data.append(price.find(class_ = 'unit').text.replace('\n',''))

with open("file_.csv",'a') as f:

f.write(codecs.BOM_UTF8)

f_csv = csv.writer(f,delimiter=',',quoting=csv.QUOTE_ALL)

if data != '':

while '' in data:

data.remove('')

f_csv.writerow(data)

f.close()

i = 1

while (i < 70):

url = '' + str(i) + '/'

r = s.get(url)

soup = BeautifulSoup(r.text,'lxml')

getdata(soup)

i = i + 1

代码运行结果：

第一次写的爬虫，很多地方不是很完善，望高手指教。。。