无法爬取淘宝商品页面

问题描述：无法爬取淘宝商品页面

案例如下：

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 = input("请输入要搜索的商品：")
    depth = input("请输入想要搜索的商品的页数：")
    depth = int(depth)
    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()

代码编译没有报错，以下是运行结果：

内容并未爬取到。

原因分析：因为淘宝的反爬虫机制导致爬取不了数据

查看淘宝的robots协议
https://www.taobao.com/robots.txt

分析：第一行 淘宝将爬虫定义为百度蜘蛛，第二行 它不允许爬虫爬取以’/'开头的路径

解决方案：添加headers内容

进入淘宝页面输入你想要搜索的内容

这边我搜索了笔记本电脑。

按F12进入控制台

依次点击Network，选择ALL，点击serch，找到上图勾选的serch，右击选择Copy，选择Copy as cURL(bash)
然后进去下方链接
https://curl.trillworks.com/

将内容复制到curl command框内

将Python requests内容中的headers内容复制到第一个函数getHTMLText中，并将
r = requests.get(url,timeout=30)修改为
r = requests.get(url,headers=headers,timeout=30)

import requests
import re

def getHTMLText(url):
    try:
        headers = {
            'authority': 's.taobao.com',
            'cache-control': 'max-age=0',
            'upgrade-insecure-requests': '1',
            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.66 Safari/537.36',
            'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
            'sec-fetch-site': 'same-origin',
            'sec-fetch-mode': 'navigate',
            'sec-fetch-user': '?1',
            'sec-fetch-dest': 'document',
            'referer': '********',
            'accept-language': 'zh-CN,zh;q=0.9',
            'cookie': '******',}
             
        r = requests.get(url,headers=headers,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 = input("请输入要搜索的商品：")
    depth = input("请输入想要搜索的商品的页数：")
    depth = int(depth)
    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()

referer和cookie的内容太长，这边我就用*代替了，大家复制自己的headers就可以了

这样就可以正常爬取了。

上述案例为嵩天老师Python网络爬虫与信息提取课程中的案例。（本博客方法只为学习讨论，不做商业用途）

本文地址：https://blog.csdn.net/weixin_44911081/article/details/110407955