对于房天下租房信息进行爬取
代码
import re
import requests
from lxml.html import etree
url_xpath = '//dd/p[1]/a[1]/@href'
title_xpath = '//dd/p[1]/a[1]/@title'
data_xpaht = '//dd/p[2]/text()'
headers = {
'rpferpr': 'https://sh.zu.fang.com/',
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.90 Safari/537.36'
}
rp = requests.get('https://sh.zu.fang.com/', headers=headers)
rp.encoding = rp.apparent_encoding
html = etree.HTML(rp.text)
url = html.xpath(url_xpath)
title = html.xpath(title_xpath)
data = re.findall('<p class="font15 mt12 bold">(.*?)</p>', rp.text, re.S)
mold_lis = []
house_type_lis = []
area_lis = []
for a in data:
a = re.sub('�O', '平方米', a)
mold = re.findall('
s.*?(S.*?)<span class="splitline">', a)
house_type_area = re.findall('</span>(.*?)<span class="splitline">', a)
try:
mold_lis.append(mold[0])
house_type_lis.append(house_type_area[0])
area_lis.append(house_type_area[1])
except:
pass
data_zip = zip(title, url, mold_lis, house_type_lis, area_lis)
with open('info.txt', 'a', encoding='utf8') as fa:
for a in data_zip:
fa.write(str(a))
fa.write('
')
未完待续
后续接着对于分区进行爬取
arpa_dict = {
'不限':'house',
'浦东':'house-a025',
'嘉定':'house-a029',
'宝山':'house-a030',
'闵行':'house-a018',
'松江':'house-a0586',
'普陀':'house-a028',
'静安':'house-a021',
'黄浦':'house-a024',
'虹口':'house-a024',
'青浦':'house-a024',
'奉贤':'house-a024',
'金山':'house-a024',
'杨浦':'house-a024',
'徐汇':'house-a024',
'长宁':'house-a024',
'崇明':'house-a0996',
'上海周边':'house-a01046',
}