如何科学地蹭热点：用python爬虫获取热门微博评论并进行情感分析

'Accept-Language' : 'zh-CN,zh;q=0.8,en-US;q=0.5,en;q=0.3',

'Accept-Encoding' : 'gzip, deflate, br',

'Referer' : 'https://m.weibo.cn/status/' + weibo_id,

'Cookie' : '登录cookie信息',

'DNT' : '1',

'Connection' : 'keep-alive',

}

i = 0

comment_num = 1

while True:

# if i==1: #爬热点评论

# r = requests.get(url = url.format(i),headers = headers)

# comment_page = r.json()[1]['card_group']

# else:

# r = requests.get(url = url.format(i),headers = headers)

# comment_page = r.json()[0]['card_group']

r = requests.get(url = url.format(i),headers = headers) #爬时光排序评论

comment_page = r.json()['data']

if r.status_code ==200:

try:

print('正在攫取第 %s 页评论：' % i)

for j in range(0,len(comment_page)):

print('第 %s 条评论' % comment_num)

user = comment_page[j]

comment_id = user['user']['id']

print(comment_id)

user_name = user['user']['screen_name']

print(user_name)

created_at = user['created_at']

print(created_at)

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