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各个平台热搜搜集脚本(微博、百度、B站、昔日头条、知乎 ...

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在线会员 e6fNY0ENR 发表于 2023-1-10 23:52:46 | 显示全部楼层 |阅读模式 打印 上一主题 下一主题
1、常识面


  • requests库: 使用requests库模仿收收恳求获得疑息
  • BeautifulSoup库: 剖析页里并从中定位到响应标签页
  • xlwt库: 使用此库可将数据输出到Excel表格
2、源码
  1. import pandas as pd  # 存进excel数据
  2. import requests  # 背页里收收恳求
  3. from bs4 import BeautifulSoup as BS
  4. import xlwt
  5. from datetime import datetime
  6. def get_weibo(weiboCookie):
  7.     print("输出微专冷搜前50")
  8.     # 目标地点
  9.     url = 'https://s.weibo.com/top/su妹妹ary?cate=realtimehot'
  10.     # 恳求头
  11.     header = {
  12.         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36',
  13.         'Host': 's.weibo.com',
  14.         'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  15.         'Accept-Language': 'zh-CN,zh-Hans;q=0.9',
  16.         'Accept-Encoding': 'gzip, deflate, br',
  17.         #活期 改换Cookie
  18.         'Cookie': weiboCookie
  19.     }
  20.     r = requests.get(url, headers=header)  # 收收恳求
  21.     # print(r.text)
  22.     soup = BS(r.text, 'html.parser')
  23.     # 冷搜标签: <td class="td-02">   ('div',{'class':"c-single-text-ellipsis"})
  24.     keywords = soup.find_all('td',{'class':'td-02'})
  25.     # hots = soup.find_all('td',{'class':'td-03'})
  26.     # print(keywords)
  27.     datas = []
  28.     i = 1
  29.     for item in keywords[1:]:  # 跳过第一条举荐置顶
  30.         keyWord = str(item).split("</a>")[0].split('>')[2]
  31.         hot = str(item).split("<span>")[1].split('</span>')[0]
  32.         if hot != "":
  33.             # data = {
  34.             #     'sort': i,
  35.             #     'keyWord': keyWord,
  36.             #     'hot': hot
  37.             # }
  38.             data = "["+hot+"]"+" "+keyWord
  39.             i += 1
  40.         datas.append(data)
  41.     print(datas)
  42.     return datas
  43. def get_百度(百度Cookie):
  44.     print("输出baidu冷搜前50")
  45.     url = "https://top.百度.com/board?tab=realtime"
  46.     # 恳求头
  47.     header = {
  48.         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36',
  49.         'Host': 'top.百度.com',
  50.         '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',
  51.         'Accept-Language': 'zh-CN,zh;q=0.9',
  52.         'Accept-Encoding': 'gzip, deflate, br',
  53.         #活期 改换Cookie
  54.         'Cookie': 百度Cookie
  55.     }
  56.     r = requests.get(url,header)
  57.     # print(r.text)
  58.     soup = BS(r.text, 'html.parser')
  59.     # 枢纽词汇的标签: <div class="c-single-text-ellipsis">
  60.     # 冷度指数的标签:<div class="hot-index_1Bl1a">
  61.     keywords = soup.find_all('div',{'class':"c-single-text-ellipsis"})
  62.     # print(keywords)
  63.     hot_nums = soup.find_all('div',{'class':"hot-index_1Bl1a"})
  64.     # print(hot_nums)
  65.     datas = []
  66.     i=1
  67.     for kw in keywords[1:]:
  68.         keyWord = str(kw).split('>')[1].split('<')[0]
  69.         hot = str(hot_nums[i]).split('>')[1].split('<')[0]
  70.         data = "[" + hot + "]" + " " + keyWord
  71.         i+=1
  72.         datas.append(data)
  73.         # print(data)
  74.     print(datas)
  75.     return datas
  76. def get_bili(biliCookie):
  77.     print("输出B站冷搜前50")
  78.     url = "https://api.bilibili.com/x/web-interface/search/square?limit=50"
  79.     header = {
  80.         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36',
  81.         # 'Host': 'top.百度.com',
  82.         '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',
  83.         'Accept-Language': 'zh-CN,zh;q=0.9',
  84.         'Accept-Encoding': 'gzip, deflate, br',
  85.         #活期 改换Cookie
  86.         'Cookie': biliCookie
  87.     }
  88.     r = requests.get(url, header).json()
  89.     list = r["data"]["trending"]["list"]
  90.     # print(list)
  91.     datas = []
  92.     i = 1
  93.     for kw in list:
  94.         # data = {
  95.         #     'sort': i,
  96.         #     'keyWord':kw['show_name']
  97.         # }
  98.         data = kw['show_name']
  99.         datas.append(data)
  100.         i += 1
  101.     print(datas)
  102.     return datas
  103. # 无需cookie
  104. def get_toutiao():
  105.     print("输出旧日头条冷搜前50")
  106.     url = "https://www.toutiao.com/hot-event/hot-board/?origin=toutiao_pc"
  107.     header = {
  108.         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36',
  109.         # 'Host': 'top.百度.com',
  110.         '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',
  111.         'Accept-Language': 'zh-CN,zh;q=0.9',
  112.         'Accept-Encoding': 'gzip, deflate, br',
  113.         #活期 改换Cookie
  114.         # 'Cookie': "buvid3=691B51B2-68B0-433D-AA6A-8E6480662D8F155836infoc; rpdid=|(u)Yk)lmYuR0J'ulmk||Ju~Y; LIVE_BUVID=AUTO7815963576068225; video_page_version=v_old_home; blackside_state=0; CURRENT_BLACKGAP=0; i-wanna-go-back=-1; fingerprint_s=2432558e03b7d0e4d3f2d656ba67bce7; CURRENT_QUALITY=80; canvasFp=866ed54e7230d22ab7cdec5d5dc73efd; webglFp=63c21fa0fd081da247c30126473061c3; screenInfo=2560*1440*24; feSign=d7345809c9bc39ccf355b231653d438a; payParams=%7B%22createIp%22%3A%22113.246.186.217%22%2C%22customerId%22%3A10034%2C%22deviceType%22%3A1%2C%22feeType%22%3A%22CNY%22%2C%22notifyUrl%22%3A%22http%3A//api.bilibili.co/pgc/internal/pay/order/notify/2%22%2C%22orderCreateTime%22%3A1645972374000%2C%22orderExpire%22%3A3600%2C%22orderId%22%3A%222022022722320002f%22%2C%22originalAmount%22%3A990%2C%22payAmount%22%3A490%2C%22productId%22%3A%2235%22%2C%22returnUrl%22%3A%22https%3A//www.bilibili.com/bangumi/play/ep384789%22%2C%22serviceType%22%3A0%2C%22showTitle%22%3A%22%u4ED8%u8D39-%u300A%u6E29%u6696%u7684%u62B1%u62B1%u300B%22%2C%22sign%22%3A%22b1ee653c0bbeae364198b3565d60f004%22%2C%22signType%22%3A%22MD5%22%2C%22timestamp%22%3A1645972374000%2C%22traceId%22%3A%224856fc19-ed67-4e73-9efc-3b8cd3f537ee%22%2C%22uid%22%3A382847812%2C%22version%22%3A%221.0%22%7D; _uuid=8737C173-3464-13E9-5A98-38BBB41D6CFC86923infoc; buvid_fp_plain=undefined; DedeUserID=382847812; DedeUserID__ckMd5=83d671e8bfb20c54; hit-dyn-v2=1; b_ut=5; nostalgia_conf=-1; buvid4=B2EB363E-6196-F7B4-4079-9F9A6ABCFB9862133-022012118-AiqhsCVq4sjMNhCDWE%2Fp4A%3D%3D; PVID=1; is-2022-channel=1; b_timer=%7B%22ffp%22%3A%7B%22333.26.fp.risk_691B51B2%22%3A%22182961A09D8%22%2C%22888.70641.fp.risk_691B51B2%22%3A%2218253269D8D%22%2C%22888.70253.fp.risk_691B51B2%22%3A%22182534851C1%22%2C%22333.1007.fp.risk_691B51B2%22%3A%22182A1DBDA1B%22%2C%22333.788.fp.risk_691B51B2%22%3A%2218297184A73%22%2C%22333.1073.fp.risk_691B51B2%22%3A%221826EDB5EA3%22%2C%22333.1193.fp.risk_691B51B2%22%3A%2218295F41C16%22%2C%22333.337.fp.risk_691B51B2%22%3A%221827802B04B%22%2C%22333.885.fp.risk_691B51B2%22%3A%22182A1DBF595%22%2C%22888.71209.fp.risk_691B51B2%22%3A%22182961CD695%22%2C%22888.453.fp.risk_691B51B2%22%3A%22182961CD727%22%2C%22333.999.fp.risk_691B51B2%22%3A%22182961DC78C%22%2C%22333.976.fp.risk_691B51B2%22%3A%221829622A043%22%2C%22444.41.fp.risk_691B51B2%22%3A%22182A1DBEE23%22%2C%22666.25.fp.risk_691B51B2%22%3A%22182A1DBD697%22%2C%22333.934.fp.risk_691B51B2%22%3A%221829A09B3E7%22%2C%22666.23.fp.risk_691B51B2%22%3A%221829A0A6DE2%22%2C%22666.32.fp.risk_691B51B2%22%3A%221829A0D0BAA%22%2C%22666.7.fp.risk_691B51B2%22%3A%22182A1DBE2E5%22%2C%22888.64379.fp.risk_691B51B2%22%3A%221829A0ED646%22%7D%7D; fingerprint3=c34d35184ac73b6da9c504153d73ccc5; fingerprint=afcf27eb2424f8b0f82d08e013ec90b5; buvid_fp=65780e1f523d56fc1f8ecae7ab14918b; b_nut=100; bsource=search_百度; innersign=0; SESSDATA=28e8743d%2C1679496140%2C835c2%2A91; bili_jct=cbc0ffa7b692efaf0a26a1121d7614ad; sid=7sbqtzd6; b_lsid=523F5104C_183741EA1C2; CURRENT_FNVAL=16; bp_video_offset_382847812=709805274986184700"
  115.     }
  116.     r = requests.get(url, header).json()
  117.     # print(r)
  118.     list = r["data"]
  119.     datas = []
  120.     i=1
  121.     for kw in list:
  122.         # print(kw)
  123.         # data = {
  124.         #     'sort': i,
  125.         #     'keyWord': kw['Title'],
  126.         #     'hot': kw['HotValue']
  127.         # }
  128.         hot = kw['HotValue']
  129.         keyWord = kw['Title']
  130.         data = "[" + hot + "]" + " " + keyWord
  131.         datas.append(data)
  132.         i+=1
  133.     print(datas)
  134.     return datas
  135. def get_zhihu(zhihuCookie):
  136.     print("输出知乎冷搜前50")
  137.     url = "https://www.zhihu.com/billboard"
  138.     # 恳求头
  139.     header = {
  140.         'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/105.0.0.0 Safari/537.36',
  141.         #活期 改换Cookie
  142.         'Cookie': zhihuCookie
  143.     }
  144.     r = requests.get(url,header)
  145.     # print(r.text)
  146.     soup = BS(r.text, 'html.parser')
  147.     # 枢纽词汇:<div class="HotList-itemTitle">
  148.     # 冷度:<div class="HotList-itemMetrics">
  149.     keywords = soup.find_all('div',{'class':"HotList-itemTitle"})
  150.     # print(keywords)
  151.     hot_nums = soup.find_all('div',{'class':"HotList-itemMetrics"})
  152.     # print(hot_nums)
  153.     i=0
  154.     datas = []
  155.     for kw in keywords:
  156.         # data={
  157.         #     'sort': i+1,
  158.         #     'keyWord': str(kw).split('>')[1].split('<')[0],
  159.         #     'hot': str(hot_nums[i]).split('>')[1].split('<')[0]
  160.         # }
  161.         hot = str(hot_nums[i]).split('>')[1].split('<')[0]
  162.         keyWord = str(kw).split('>')[1].split('<')[0]
  163.         data = "[" + hot + "]" + " " + keyWord
  164.         datas.append(data)
  165.         i+=1
  166.     print(datas)
  167.     return datas
  168. # 写进excel表格,就于后绝处置
  169. def write_to_excel(datas):
  170.     """
  171.         col : 期望写正在表格第多少列
  172.         col_name:列名(仄台名:微专、baidu、B站、头条、知乎)
  173.         data : 列表格局的数据,与此中的枢纽词汇写进
  174.     """
  175.     #创立 表格文献
  176.     book = xlwt.Workbook(encoding='utf-8',style_compression=0)
  177.     # 创界sheet表单
  178.     sheet = book.add_sheet("各仄台冷搜榜单")
  179.     for i,(plantform,data) in enumerate(datas.items()):
  180.         sheet.col(i+1).width = 40*256 # 40个字严度
  181.         print(plantform)
  182.         sheet.write(0,i+1,plantform) # 尾止写进仄台名
  183.         # print(data)
  184.         for j,kw in enumerate(data):
  185.             print(kw)
  186.             sheet.write(j+1, i + 1, kw)  # 尾止写进仄台名
  187.     file_name = './'+datetime.now().strftime("%Y_%m_%d_%H_%M_%S")+'.xls'
  188.     # save_path = '/'
  189.     book.save(file_name)
  190. all_data={}
  191. weiboCookie = 'login_sid_t=9e34d1c2379afc693202fa0ce161b730; cross_origin_proto=SSL; Apache=1593360874961.498.1618040796860; _s_tentry=passport.weibo.com; SINAGLOBAL=1593360874961.498.1618040796860; UOR=www.百度.com,weibo.com,www.百度.com; ULV=1652019581989:1:1:1:1593360874961.498.1618040796860:; SCF=Ah1HgEPMSYrKQ4D-B9CN78S3L3BFN-KVXQyCwxspmDuuf0Krk32yvMWS2Qso9el5QReOTw7R-pQRtBhmdmRGlFo.; SUB=_2AkMUH9bIf8NxqwFRmP0RxGvmaIlzyg7EieKiQycTJRMxHRl-yT9kqhcvtRB6P5_4JzpWHMtMDunzQTzsvdwCpeNPqT8X; SUBP=0033WrSXqPxfM72-Ws9jqgMF55529P9D9W59C8_VUmhFx8X-OZ.rVX0j'
  192. weibo_datas = get_weibo(weiboCookie)
  193. all_data['微专'] = weibo_datas
  194. 百度Cookie = 'BIDUPSID=018287A3B15818AFDA43A7138AF332FE; PSTM=1592003065; __yjs_duid=1_f323b8439ccfba4e5a49dcd1eead83001617900347690; BAIDUID=0A122DA944778214454BD4AE53B0D1E8:FG=1; MCITY=-%3A; BDUSS=GVMOEQ1ODRTZ09RSVEyUjVuN3I3WjlJNENpR0tIVVlmU3dLQnd6dllzRmQ1U0ZqSVFBQUFBJCQAAAAAAAAAAAEAAACkT4s00-u38dK7sd~Bub~sAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAF1Y-mJdWPpid; BDUSS_BFESS=GVMOEQ1ODRTZ09RSVEyUjVuN3I3WjlJNENpR0tIVVlmU3dLQnd6dllzRmQ1U0ZqSVFBQUFBJCQAAAAAAAAAAAEAAACkT4s00-u38dK7sd~Bub~sAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAF1Y-mJdWPpid; BDORZ=B490B5EBF6F3CD402E515D22BCDA1598; BDSFRCVID=Jo4OJexroG06EKOj21vGhLyRygKKg9TTDYLEOwXPsp3LGJLVcjg-EG0Pt8i0Cou-dk83ogKKLmOTHpKF_2uxOjjg8UtVJeC6EG0Ptf8g0M5; H_BDCLCKID_SF=tJ4DoD-hJKK3MCIwK-rjq4tehHRfW6v9WDTm_DoVXMJDoKOeWt6myfF15M7AWjoByH5I-pPKKR7oj4QPDJ-VjtI-3q7nQjQK3mkjbpnyfn02OIbPKtcryt4syPRr2xRnWTRiKfA-b4ncjRcTehoM3xI8LNj405OTbIFO0KJzJCFhbKLlejtWent8hMv-bD6b2IvKLnK8Kb7VbI09XMnkbfJBDxvmqRteJ2nA_56e2pRBDKbIQqOdLnD7yajK2bJQB5TO3b5nXMI-jtJb2MbpQT8rMMDOK5Oib4jIsR74ab3vOpRzXpO1KMPzBN5thURB2DkO-4bCWJ5TMl5jDh3Mb6ksDMDtqj-eJRADoD0Q5-5HDRcY-DTaKDCShUFsQT3AB2Q-5KL-0M5dSCo2QhoB5nIPQp8Lb4b8B23u_fbdJJjoSU5cQUb1QJ5-0xP8L4buX2TxoUJDQCnJhhvGqt7Ue5kebPRiWPr9QgbjahQ7tt5W8ncFbT7l5hKpbt-q0x-jLTnhVn0MBCK0bDP6j6Kbe5PW5ptXhPcKaKbyWJ3b2PK_Hn7zePRvDM4pbq7H2M-jJeTi2bF-t4QajhRw0RrJyUPseJOn0pcr36TuLhrTQJ7Hflvo34b8bIukQN3T-Tv0tg7yL66e2KP5Dn3oyUvVXp0nK-Rly5jtMgOBBJ0yQ4b4OR5JjxonDh83bG7MJUutfJKO_KL-JKP3H48k-4QEbbQH-UnLqMTyJgOZ04n-ah02Ml5oXPCKDJK1M-v8QJcMW23MVxbm3UTdsq76Wh35K5tTQP6rLtJB5-j4KKJxbInEhhOv5DcfMTvyhUJiBM7LBan7QpvIXKohJh7FM4tW3J0ZyxomtfQxtNRJ0DnjtpChbRO4-TFKejjyDx5; H_PS_PSSID=37151_36555_37356_37142_36885_37486_37403_37395_36803_36789_37436_37261_26350_37343_37351; BDSFRCVID_BFESS=Jo4OJexroG06EKOj21vGhLyRygKKg9TTDYLEOwXPsp3LGJLVcjg-EG0Pt8i0Cou-dk83ogKKLmOTHpKF_2uxOjjg8UtVJeC6EG0Ptf8g0M5; H_BDCLCKID_SF_BFESS=tJ4DoD-hJKK3MCIwK-rjq4tehHRfW6v9WDTm_DoVXMJDoKOeWt6myfF15M7AWjoByH5I-pPKKR7oj4QPDJ-VjtI-3q7nQjQK3mkjbpnyfn02OIbPKtcryt4syPRr2xRnWTRiKfA-b4ncjRcTehoM3xI8LNj405OTbIFO0KJzJCFhbKLlejtWent8hMv-bD6b2IvKLnK8Kb7VbI09XMnkbfJBDxvmqRteJ2nA_56e2pRBDKbIQqOdLnD7yajK2bJQB5TO3b5nXMI-jtJb2MbpQT8rMMDOK5Oib4jIsR74ab3vOpRzXpO1KMPzBN5thURB2DkO-4bCWJ5TMl5jDh3Mb6ksDMDtqj-eJRADoD0Q5-5HDRcY-DTaKDCShUFsQT3AB2Q-5KL-0M5dSCo2QhoB5nIPQp8Lb4b8B23u_fbdJJjoSU5cQUb1QJ5-0xP8L4buX2TxoUJDQCnJhhvGqt7Ue5kebPRiWPr9QgbjahQ7tt5W8ncFbT7l5hKpbt-q0x-jLTnhVn0MBCK0bDP6j6Kbe5PW5ptXhPcKaKbyWJ3b2PK_Hn7zePRvDM4pbq7H2M-jJeTi2bF-t4QajhRw0RrJyUPseJOn0pcr36TuLhrTQJ7Hflvo34b8bIukQN3T-Tv0tg7yL66e2KP5Dn3oyUvVXp0nK-Rly5jtMgOBBJ0yQ4b4OR5JjxonDh83bG7MJUutfJKO_KL-JKP3H48k-4QEbbQH-UnLqMTyJgOZ04n-ah02Ml5oXPCKDJK1M-v8QJcMW23MVxbm3UTdsq76Wh35K5tTQP6rLtJB5-j4KKJxbInEhhOv5DcfMTvyhUJiBM7LBan7QpvIXKohJh7FM4tW3J0ZyxomtfQxtNRJ0DnjtpChbRO4-TFKejjyDx5; delPer=0; PSINO=6; BAIDUID_BFESS=0A122DA944778214454BD4AE53B0D1E8:FG=1; BA_HECTOR=a10081al800h0h208lagohhl1hiu4p718; ZFY=RQxHkHiuouWI9wgxYJdvGzWC4HbbwozLptqnwDgnLdM:C'
  195. 百度_datas = get_百度(百度Cookie)
  196. all_data['baidu'] = 百度_datas
  197. biliCookie = "buvid3=691B51B2-68B0-433D-AA6A-8E6480662D8F155836infoc; rpdid=|(u)Yk)lmYuR0J'ulmk||Ju~Y; LIVE_BUVID=AUTO7815963576068225; video_page_version=v_old_home; blackside_state=0; CURRENT_BLACKGAP=0; i-wanna-go-back=-1; fingerprint_s=2432558e03b7d0e4d3f2d656ba67bce7; CURRENT_QUALITY=80; canvasFp=866ed54e7230d22ab7cdec5d5dc73efd; webglFp=63c21fa0fd081da247c30126473061c3; screenInfo=2560*1440*24; feSign=d7345809c9bc39ccf355b231653d438a; payParams=%7B%22createIp%22%3A%22113.246.186.217%22%2C%22customerId%22%3A10034%2C%22deviceType%22%3A1%2C%22feeType%22%3A%22CNY%22%2C%22notifyUrl%22%3A%22http%3A//api.bilibili.co/pgc/internal/pay/order/notify/2%22%2C%22orderCreateTime%22%3A1645972374000%2C%22orderExpire%22%3A3600%2C%22orderId%22%3A%222022022722320002f%22%2C%22originalAmount%22%3A990%2C%22payAmount%22%3A490%2C%22productId%22%3A%2235%22%2C%22returnUrl%22%3A%22https%3A//www.bilibili.com/bangumi/play/ep384789%22%2C%22serviceType%22%3A0%2C%22showTitle%22%3A%22%u4ED8%u8D39-%u300A%u6E29%u6696%u7684%u62B1%u62B1%u300B%22%2C%22sign%22%3A%22b1ee653c0bbeae364198b3565d60f004%22%2C%22signType%22%3A%22MD5%22%2C%22timestamp%22%3A1645972374000%2C%22traceId%22%3A%224856fc19-ed67-4e73-9efc-3b8cd3f537ee%22%2C%22uid%22%3A382847812%2C%22version%22%3A%221.0%22%7D; _uuid=8737C173-3464-13E9-5A98-38BBB41D6CFC86923infoc; buvid_fp_plain=undefined; DedeUserID=382847812; DedeUserID__ckMd5=83d671e8bfb20c54; hit-dyn-v2=1; b_ut=5; nostalgia_conf=-1; buvid4=B2EB363E-6196-F7B4-4079-9F9A6ABCFB9862133-022012118-AiqhsCVq4sjMNhCDWE%2Fp4A%3D%3D; PVID=1; is-2022-channel=1; b_timer=%7B%22ffp%22%3A%7B%22333.26.fp.risk_691B51B2%22%3A%22182961A09D8%22%2C%22888.70641.fp.risk_691B51B2%22%3A%2218253269D8D%22%2C%22888.70253.fp.risk_691B51B2%22%3A%22182534851C1%22%2C%22333.1007.fp.risk_691B51B2%22%3A%22182A1DBDA1B%22%2C%22333.788.fp.risk_691B51B2%22%3A%2218297184A73%22%2C%22333.1073.fp.risk_691B51B2%22%3A%221826EDB5EA3%22%2C%22333.1193.fp.risk_691B51B2%22%3A%2218295F41C16%22%2C%22333.337.fp.risk_691B51B2%22%3A%221827802B04B%22%2C%22333.885.fp.risk_691B51B2%22%3A%22182A1DBF595%22%2C%22888.71209.fp.risk_691B51B2%22%3A%22182961CD695%22%2C%22888.453.fp.risk_691B51B2%22%3A%22182961CD727%22%2C%22333.999.fp.risk_691B51B2%22%3A%22182961DC78C%22%2C%22333.976.fp.risk_691B51B2%22%3A%221829622A043%22%2C%22444.41.fp.risk_691B51B2%22%3A%22182A1DBEE23%22%2C%22666.25.fp.risk_691B51B2%22%3A%22182A1DBD697%22%2C%22333.934.fp.risk_691B51B2%22%3A%221829A09B3E7%22%2C%22666.23.fp.risk_691B51B2%22%3A%221829A0A6DE2%22%2C%22666.32.fp.risk_691B51B2%22%3A%221829A0D0BAA%22%2C%22666.7.fp.risk_691B51B2%22%3A%22182A1DBE2E5%22%2C%22888.64379.fp.risk_691B51B2%22%3A%221829A0ED646%22%7D%7D; fingerprint3=c34d35184ac73b6da9c504153d73ccc5; fingerprint=afcf27eb2424f8b0f82d08e013ec90b5; buvid_fp=65780e1f523d56fc1f8ecae7ab14918b; b_nut=100; bsource=search_百度; innersign=0; SESSDATA=28e8743d%2C1679496140%2C835c2%2A91; bili_jct=cbc0ffa7b692efaf0a26a1121d7614ad; sid=7sbqtzd6; b_lsid=523F5104C_183741EA1C2; CURRENT_FNVAL=16; bp_video_offset_382847812=709805274986184700"
  198. bili_datas = get_bili(biliCookie)
  199. all_data['B站'] = bili_datas
  200. all_data['旧日头条'] = get_toutiao()
  201. zhihuCookie = '_zap=de48c2fe-8bf5-432d-83ce-394a2e958a99; _xsrf=9d857c2e-9271-4208-8146-495716a85ee8; d_c0=AMDXx55UnRWPTjIcEgRhXmDtnx2gKPbJbR4=|1664115527; Hm_lvt_98beee57fd2ef70ccdd5ca52b9740c49=1664115529; Hm_lpvt_98beee57fd2ef70ccdd5ca52b9740c49=1664115529; SESSIONID=3qWbslXpdJfI5m7hXrV7e3LI7KOKqIJd13UQkZgQWaj; JOID=UlgQAE4pLVeKxd7ZCyrohPxliUEbGlkG7rOyhH1IZzTF9rbuZmRNZ-rA29oLOLw65k0lYdtnnhwBP2o9CwY3ID8=; osd=VlAQBU8tJVePxNrRCy_pgPRljEAfElkD77e6hHhJYzzF87fqbmRIZu7I298KPLQ640whadtinxgJP288Dw43JT4=; KLBRSID=2177cbf908056c6654e972f5ddc96dc2|1664115529|1664115527'
  202. all_data['知乎'] = get_zhihu(zhihuCookie)
  203. print(data)
  204. write_to_excel(datas=all_data)
复造代码
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