05.實戰案例：抽屜自動點贊與爬取汽車之家新聞

文章目錄

• • 05.實戰案例：抽屜自動點贊與爬取汽車之家新聞
  • 一、抽屜自動點贊
  • 二、爬取汽車之家

一、抽屜自動點贊

import requests# data = { # 'linkId': '31009758', # # }data = {'content': '其實一般','linkId': '31008563','parentId': '0','pictureUrl': '' } header = {'Referer': 'https://dig.chouti.com/','User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.212 Safari/537.36','Cookie': 'deviceId=web.eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJqaWQiOiIwZmVlMjk5OS1iMDgzLTRmYzctOTM4MC03YjIzZmVmY2U5YmYiLCJleHBpcmUiOiIxNjIzOTA0ODk5MzM5In0.7cadtBYznS6OgnLwEF8aH0AmtDOoYB1WKDgdU4eYYS0; __snaker__id=VbChmBUEZIVY3FPa; _9755xjdesxxd_=32; YD00000980905869%3AWM_TID=%2FazmF9%2FrClJFEVFBVRN70z7msH6De39Y; YD00000980905869%3AWM_NI=fmln0UTLoOM0bJxRYMet9SoHoQFrKUG7angbfEmftGxseQnkMmbwsdEPNwgtVpQ9K0fqli5fhP6nKsZ15bIt%2BQYBdpjdM8x19UJqjf6LSi%2FmhSgQW%2F3SYGNWEwJPPlYGRWM%3D; YD00000980905869%3AWM_NIKE=9ca17ae2e6ffcda170e2e6eeb5d567838e8fa6f94dbaef8eb7d54a938e8b85f83bf88a97a2e464a98689afaa2af0fea7c3b92aa6b3a48fb35f9894a1b0d03ca296b8b3dc47a7acf7b4ee44ad8f8a93ca5f85e9af8fe66aa69ba387f74dbcadabb2ed618fb3ae98f27087908298e68096b09fdaca3ca6afa48ab86eac90fa8fca799aeffb83cc80e98f97a3e77caabc83d9fb3bfb8b8692e96ef6949d8aae67ac8da9b2d625f18d97a8cd5d87a986b1d3689b999eb8d037e2a3; Hm_lvt_03b2668f8e8699e91d479d62bc7630f1=1621312902,1621392225; gdxidpyhxdE=weRAWhzVrJfrCGllI4mwY8LxZOiO4D79t%2Fkf8j8qcJUsTDrjyVh05GQiaf6uL8dwsXpkShI%2B2uGHa9Vj5b1QilxdgI%2BoDUr%5C0VN4kMrnVLUmzGb56lwmZRoAmUq%2FToGtCRjYKAaANejzA%5CQcWg4LwkrdXzwqNISMTfwQUaMw4puru4fM%3A1621393127138; token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJqaWQiOiJjZHVfNTMyMDcwNzg0NjAiLCJleHBpcmUiOiIxNjIzOTg0MjcwNDA0In0.4Q4uQAd4LkbVVcu37t0SjRFE4CSIidduRspeQ08-iYE; Hm_lpvt_03b2668f8e8699e91d479d62bc7630f1=1621392374' } # res = requests.post('https://dig.chouti.com/link/vote', data=data,headers=header) res = requests.post('https://dig.chouti.com/comments/create', data=data, headers=header) print(res.text)

二、爬取汽車之家

# 爬取汽車之間 # 使用bs4模塊：beautifulsoup4：專門用來解析html的模塊 import requests from bs4 import BeautifulSoupres = requests.get('https://www.autohome.com.cn/news/1/#liststart') # print(res.text)# 第一個參數是要解析的文檔 # 第二參數是使用的解析庫，解析方式 # html.parser 解析速度慢 不需要額外安裝 # lxml 解析速度快，文檔容錯率高，需要額外安裝lxml模塊 soup = BeautifulSoup(res.text, 'html.parser') # 查找文檔中的所有類名為article的ul標簽 ul_list = soup.find_all(name='ul', class_='article') li_list = [] for ul in ul_list:li_list += ul.find_all(name='li')for li in li_list:h3 = li.find(name='h3')if h3:title = h3.text # 獲取文本內容url = 'http:' + li.find(name='a')['href']desc = li.find(name='p').textimg = 'http:' + li.find(name='img')['src']print('''文章標題：%s文章地址：%s文章圖片：%s文章摘要：%s''' % (title, url, img, desc))# 存到mysql中:# 存redis articles=[{json格式字符串},{}]# article ={'1':{json格式字符串},}

總結

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