因为评论有很多人说爬取不到,我强调几点

kv的格式应该是这样的:

kv = {‘cookie':‘你复制的一长串cookie',‘user-agent':‘Mozilla/5.0'}

注意都应该用 ‘' ,然后还有个英文的 逗号,

kv写完要在后面的代码中添加

r = requests.get(url, headers=kv,timeout=30)

自己得先登录自己的淘宝账号才有自己登陆的cookie呀,没登录cookie当然没用

以下原博

本人是python新手,目前在看中国大学MOOC的嵩天老师的爬虫课程,其中一个实例是讲如何爬取淘宝商品信息

以下是代码:

import requests
import re
 
def getHTMLText(url):
 try:
  r = requests.get(url, timeout=30)
  r.raise_for_status()
  r.encoding = r.apparent_encoding
  return r.text
 except:
  return ""
  
def parsePage(ilt, html):
 try:
  plt = re.findall(r'\"view_price\"\:\"[\d\.]*\"',html)
  tlt = re.findall(r'\"raw_title\"\:\".*"',html)
  for i in range(len(plt)):
   price = eval(plt[i].split(':')[1])
   title = eval(tlt[i].split(':')[1])
   ilt.append([price , title])
 except:
  print("")
 
def printGoodsList(ilt):
 tplt = "{:4}\t{:8}\t{:16}"
 print(tplt.format("序号", "价格", "商品名称"))
 count = 0
 for g in ilt:
  count = count + 1
  print(tplt.format(count, g[0], g[1]))
   
def main():
 goods = '书包'
 depth = 3
 start_url = 'https://s.taobao.com/search"text-align: center">python爬虫爬取淘宝商品比价(附淘宝反爬虫机制解决小办法)

这里我们可以看到我们当前的cookie和user-agent(一般是Mozilla/5.0)(注意:如果没有出现这几个name,点击浏览器刷新就会出现了)

然后在代码中增加我们的cookie和user-agent

python爬虫爬取淘宝商品比价(附淘宝反爬虫机制解决小办法)

然后运行

python爬虫爬取淘宝商品比价(附淘宝反爬虫机制解决小办法)

我只是个初学者,学的时候视频给不了答案,百度了很多,才发现这个小技巧,
有问题百度就完事了

完整代码

import requests
import re


def getHTMLText(url):
 kv = {'cookie':'t=5c749e8d453e7e3664735746f5eb5de8; cna=BrXNFDenbXUCAXggNKX9H1bo; thw=cn; tg=0; enc=5LMRHD8305w3oo8X0agYVFUDa7Ox%2F4RBf34oCWap48nRHy%2B%2B1RZCWZJ7ebn%2Fpy7vRNIL8xpS%2Ba0oNFXG5nSu8w%3D%3D; hng=CN%7Czh-CN%7CCNY%7C156; cookie2=10dbf1309bd9a2d5bc9cabe562965aee; _tb_token_=ee67e1a3ee0e5; alitrackid=www.taobao.com; swfstore=308730; v=0; unb=2448224718; sg=%E6%BB%A18d; _l_g_=Ug%3D%3D; skt=d53506c42f2db259; cookie1=BxUHGXuG%2B5Y4Iw7vZCvjLJ0zDvFL2Xy3mjxT%2FRPtFeA%3D; csg=4246b77f; uc3=vt3=F8dByEzfiHo1%2FUIk8VY%3D&id2=UUwU0bQkq1tYDQ%3D%3D&nk2=CN5OZuI3Xv2%2BlbVX&lg2=W5iHLLyFOGW7aA%3D%3D; existShop=MTU1MDU2MTUyMQ%3D%3D; tracknick=king%5Cu4E36%5Cu5C0F%5Cu4E30%5Cu6EE1; lgc=king%5Cu4E36%5Cu5C0F%5Cu4E30%5Cu6EE1; _cc_=VFC%2FuZ9ajQ%3D%3D; dnk=king%5Cu4E36%5Cu5C0F%5Cu4E30%5Cu6EE1; _nk_=king%5Cu4E36%5Cu5C0F%5Cu4E30%5Cu6EE1; cookie17=UUwU0bQkq1tYDQ%3D%3D; lastalitrackid=login.taobao.com; mt=ci=5_1; x=e%3D1%26p%3D*%26s%3D0%26c%3D0%26f%3D0%26g%3D0%26t%3D0%26__ll%3D-1%26_ato%3D0; uc1=cookie14=UoTZ5OXqJxXKdA%3D%3D&lng=zh_CN&cookie16=W5iHLLyFPlMGbLDwA%2BdvAGZqLg%3D%3D&existShop=false&cookie21=UIHiLt3xThH8t7YQouiW&tag=8&cookie15=UIHiLt3xD8xYTw%3D%3D&pas=0; JSESSIONID=F99B5E66516B99D5E7C9F431E402713F; l=bBNU0zKPvJ9oGfuLBOCNZuI8LN_OGIRYjuPRwCfMi_5B46JhzLQOllv3_FJ6Vj5RsK8B4z6vzNp9-etki; isg=BDg4VI5GkPAaMvx83RJGSPCNCeYKCZ0m9uCVOHKp6XNmjdh3GrU6uo2vQcWY5lQD; whl=-1%260%260%261550562673185',
   'user-agent':'Mozilla/5.0'}
 try:
  r = requests.get(url, headers=kv,timeout=30)
  r.raise_for_status()
  r.encoding = r.apparent_encoding
  return r.text
 except:
  return ""


def parsePage(ilt, html):
 try:
  plt = re.findall(r'\"view_price\"\:\"[\d\.]*\"', html)
  tlt = re.findall(r'\"raw_title\"\:\".*"', html)
  for i in range(len(plt)):
   price = eval(plt[i].split(':')[1])
   title = eval(tlt[i].split(':')[1])
   ilt.append([price, title])
 except:
  print("")


def printGoodsList(ilt):
 tplt = "{:4}\t{:8}\t{:16}"
 print(tplt.format("序号", "价格", "商品名称"))
 count = 0
 for g in ilt:
  count = count + 1
  print(tplt.format(count, g[0], g[1]))


def main():
 goods = '书包'
 depth = 3
 start_url = 'https://s.taobao.com/search?q=' + goods
 infoList = []
 for i in range(depth):
  try:
   url = start_url + '&s=' + str(44 * i)
   html = getHTMLText(url)
   parsePage(infoList, html)
  except:
   continue
 printGoodsList(infoList)


main()
标签:
python爬取淘宝商品,python爬虫爬取

免责声明:本站文章均来自网站采集或用户投稿,网站不提供任何软件下载或自行开发的软件! 如有用户或公司发现本站内容信息存在侵权行为,请邮件告知! 858582#qq.com
内蒙古资源网 Copyright www.nmgbbs.com

RTX 5090要首发 性能要翻倍!三星展示GDDR7显存

三星在GTC上展示了专为下一代游戏GPU设计的GDDR7内存。

首次推出的GDDR7内存模块密度为16GB,每个模块容量为2GB。其速度预设为32 Gbps(PAM3),但也可以降至28 Gbps,以提高产量和初始阶段的整体性能和成本效益。

据三星表示,GDDR7内存的能效将提高20%,同时工作电压仅为1.1V,低于标准的1.2V。通过采用更新的封装材料和优化的电路设计,使得在高速运行时的发热量降低,GDDR7的热阻比GDDR6降低了70%。