使用了csv包和requests包，填写自己的cookies后直接运行就行。
获取到的文件会保存在同目录下的'weibo_hot.csv'文件里，csv格式保存的。
获取的结果有4列，分别是id(获取时的热搜排名)，note(热搜标题)，category(类型),raw_hot(热度),url(链接)
上传的附件后缀是txt，需要改成py才能用
import csv
import requests
url = "https://weibo.com/ajax/statuses/hot_band"
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36 Edg/111.0.1661.62',
'Referer': 'https://weibo.com/newlogin?tabtype=search&gid=&openLoginLayer=1&url=https://s.weibo.com/realtime?q=%E4%B8%BAi%E5%81%9Ae&rd=realtime&tw=realtime&Refer=weibo_realtime',
'Cookie': ''
} # 在单引号里填写你自己的Cookie就可以了
response = requests.get(url, headers=headers)
response = response.json()["data"]["band_list"]
hot = []
count = 0
for dict1 in response:
count += 1
if 'note' in dict1:
note = dict1['note']
else:
note = 'Unknown'
if 'category' in dict1:
category = dict1['category']
else:
category = 'Unknown'
if 'raw_hot' in dict1:
raw_hot = dict1['raw_hot']
else:
raw_hot = 'Unknown'
hot_url = f'https://s.weibo.com/weibo?q={note}&Refer=index'
lst = [count, note, category, raw_hot, hot_url]
hot.append(lst)
with open('weibo_hot.csv', 'w', newline='', encoding="utf-8") as file:
writer = csv.writer(file)
writer.writerow(["id", "note", "category", "raw_hot", "url"])
# 遍历列表中的每个元素，写入 CSV 文件的单独一行中
for item in hot:
writer.writerow(item, )
