爬虫--反爬--css反爬---大众点评爬虫

大众点评爬虫分析,,大众点评 的爬虫价格利用css的矢量图偏移,进行加密

只要拦截了css 解析以后再写即可

# -*- coding: utf- -*-
"""
Created on Sat Apr  :: 
 
@author: Administrator
"""
import re
import requests
from bs4 import BeautifulSoup
 
headers = {
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'zh-CN,zh;q=0.9',
'Cache-Control': 'max-age=0',
'Connection': 'keep-alive',
'Cookie': 'cy=13; cye=wuxi; _lx_utm=utm_source%3DBaidu%26utm_medium%3Dorganic; _lxsdk_cuid=16a5c669f37c8-00e87b02ef26eb-e323069-1fa400-16a5c669f38c8; _lxsdk=16a5c669f37c8-00e87b02ef26eb-e323069-1fa400-16a5c669f38c8; _hc.v=0ff28a55-7cc0-b228-f700-c5a9a02cf919.1556328391; s_ViewType=10; _lxsdk_s=16a5c669f39-2cc-cf2-eeb%7C%7C64',
'Host': 'www.dianping.com',
'Referer': 'https://www.dianping.com/',
'Upgrade-Insecure-Requests': '',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.103 Safari/537.36'
}
#url = 'https://www.dianping.com/search/keyword/13/0_%E4%B8%87%E8%B1%A1%E5%9F%8E' # 万象城
url = 'https://www.dianping.com/search/keyword/13/0_%E4%B8%80%E7%82%B9%E7%82%B9'
tem = requests.get(url, headers = headers)
ls = tem.text
soup = BeautifulSoup(ls, 'lxml')
#//div[@class="shop-list J_shop-list shop-all-list"]
linkes = soup.select('link[type="text/css"]')
 
'''获取svg css链接代码'''
for link in linkes:
tem = link.attrs['href']
if tem.__contains__('svg'):
svg_href = 'https:'+tem
css_html = requests.get(svg_href).text # 获取svg的内容
 
'''获取标题'''
titles = []
pes = []
title = soup.select('div[class="shop-list J_shop-list shop-all-list"] ul li div[class="tit"] a h4')
for t in title:
titles.append(t.get_text())
'''获取数据url的方法，传入参数为前两个字母'''
def get_svg_url(svg_):
svg_url = "http:" + re.findall('class\^="{}".+(//.+svgtextcss.+\.svg)'.format(svg_),
'\n'.join(css_html.split('}')))[]
return svg_url
'''获取价格'''
comment = soup.select('div[class="shop-list J_shop-list shop-all-list"] ul li div[class="comment"]')
for com in comment:
tem_price = com.select('a')
price = tem_price[].select('b')
svges = tem_price[].select('b svgmtsi')
if price == []:
pes.append(' ')
continue
tem_pri1 = price[] # 价格直接显现的部分
str_pri1 = re.findall('<b>(.*?)</b>', str(tem_pri1))[] # 去除b
pri1=re.sub(r'<svgmtsi class=".*"></svgmtsi>',' ',str_pri1)
# pri1 = tem_pri1.get_text()
# print(pri1)
pri2 = ''
for svg in svges:
tem_svg = svg.attrs['class'][] # svg的属性
xy_loc = re.findall('{}{{background:(.*?);}}'.format(tem_svg),css_html)[].split(' ') #正则将其的坐标提取处理，注意{{}}
svg_url = get_svg_url(tem_svg[:])
thr = requests.get(svg_url).text
y = abs(float(xy_loc[].replace('px', ''))) # 坐标的y轴
sop = BeautifulSoup(thr, 'lxml')
text = sop.select('text')
for te in text: # 判断密文在第几行并找出密文
index = float(te.attrs['y'])
if y <= index:
miwen = te.get_text()
break
'''解密x，判断其位置'''
x = float(xy_loc[].replace('px', '')) # 坐标的y轴
ind = int((x+)/(-))
tem_pri = list(miwen)[ind]
pri2 = pri2+tem_pri
# print(pri1.replace(' ',pri2))
# print(pri1, pri2)
pes.append(pri1.replace(' ',pri2))
# print(tem_pri)
# pri2 = svges
# price = pri1.replace(' ',pri2)
# print(pri1, pri2)
 
for i,j in zip(titles,pes):
print(i,j)