Python使用BeautifulSoup解析并获取图片的实战分享

 '''
 爬虫：
 ​
 目标网站：https://www.58pic.com/c/27075257
 ​
 任务需求：1、抓取第一页前36张图片   2、使用bs4解析
 '''
 import time
 ​
 import requests
 from bs4 import BeautifulSoup
 ​
 ​
 class Image(object):
     def __init__(self):
         self.headers = {
             'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36 Edg/116.0.1938.62'
         }
 ​
     def parse_url(self,url):
         print('开始分析')
         resp = requests.get(url,headers=self.headers)
         #print(resp.text)
         if resp.status_code == 200:
             soup = BeautifulSoup(resp.text,'lxml')
             image_list = soup.find_all('img',class_='lazy-bg-img',limit=36)
             #print(image_list)
             for data in image_list:
                 title = data.get('alt')
                 # print(title)
                 print(f"开始下载 {title}")
                 img_url = 'https:'+data.get('data-original')
                 self.image_save(title,img_url)
         else:
             return None
 ​
     def image_save(self,title,url):
         resp = requests.get(url,headers=self.headers)
         content = resp.content
         with open('./img/'+title+'.jpg',mode='wb')as f:
             f.write(content)
 ​
 if __name__ == '__main__':
     t = time.time()
     url='https://www.58pic.com/tupian/1272.html'
     image = Image()
     image.parse_url(url)
     print("总共耗时：",time.time()-t)