此次爬取淘宝商家图片是为了对相关行业（此处以激光雷达为例）的产品结构以及外观设计进行对比。而淘宝的反爬机制非常强大，能力有限只能有简单点的办法进行爬取。由于淘宝的每一页数据都是存放在js文件里面，所以我们只需获取js文件对应的url即可，最后使用多线程下载并保存图片。

一、解析步骤

1、进入 淘宝首页，在搜索框中输入关键字（例：激光雷达），回车进行搜索；

2、打开开发者工具，刷新页面，按下图操作找到每一个页面的URL，这才是商品对应正确的URL，将其复制到代码的url_list中；

3、在headers中添加User-Agent、cookies、referer，由于淘宝令牌每隔段时间就会刷新一次，所以当程序无法执行时需要更新cookies。（或者可以尝试使用session）

二、执行代码

# -*- coding = utf-8 -*-
# @Time : 2021/4/16 17:31
# @Author : 陈良兴
# @File : 多线程获取激光雷达图片.py
# @Software : PyCharmimport requests
import json                                 # 数据交换格式
import os
import threadingif not os.path.exists(r'test/pictures'):os.mkdir(r'test/pictures')# 设置最大线程锁
thread_lock = threading.BoundedSemaphore(value=20)# 获取图片链接
def get_url():headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4455.2 Safari/537.36','referer': 'https://ai.taobao.com/','cookie': 'cna=7RLoGCIMsTMCAd9KVjT44b5z; xlly_s=1; _m_h5_tk=2b4885f8cb7a934289c07d8f8f1a4dad_1618576985077; _m_h5_tk_enc=ecec9968703e0eceb2376fa5af7eaedd; tfstk=ctBhB64tX6RCXfOGGJ9CAXUuyWFOZrneRIdNQTDW3DzNMs6NiPlZg2PERFrgIb1..; l=eBx1oRSejwHJF1fMBOfanurza77OSIRYSuPzaNbMiOCP961p5uOcW6asCHY9C3GVh6y9R3u2eEtTBeYBqI2jPGK3X2uPIODmn; isg=BP7-BAP8EtDkEUb05ICumJyPTxRAP8K5G-WoWqgHasE8S54lEM8SySQtwxeH9rrR',}url_list = 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= []for url in url_list:html = requests.get(url=url, headers=headers).texttext = html.replace('mtopjsonp2(', '').replace(')', '')info_dic = json.loads(text)pic_url = info_dic["data"]["recommend"]["resultList"]for i in range(len(pic_url)):url = 'https:' + pic_url[i]["pic"]pic_url_list.append(url)return pic_url_list# 下载并保存图片
def pic_download(pic_url_list, n):try:response = requests.get(pic_url_list)path = r'./pictures/%s.jpg' % nwith open(path, 'wb') as fp:fp.write(response.content)except (requests.exceptions.InvalidURL):passdef main():# 保存print("saving......")pic_url_list = get_url()num = 0for pic_url in pic_url_list:num += 1print("正在保存第{}张图片".format(num))# 上锁thread_lock.acquire()# 下载    这个方法丢进线程池t = threading.Thread(target=pic_download, args=(pic_url, num))t.start()pic_download(pic_url, num)# 下载完成就解锁thread_lock.release()print("爬取完毕！！！")if __name__ == '__main__':main()

三、运行结果



       此处运行结果如上图所示，有不足之处，还请各位大佬指点迷津！

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