爬取https://www.bilibili.com/video/BV1SQ4y1V7do/?spm_id_from=333.999.0.0&vd_source=6e9299676612960e729网页的所有评论用户信息和评论时间并保存为CSV文件的代码

爬取B站视频评论的过程通常涉及到网络请求、HTML解析以及数据导出，这里我会提供一个基础的Python代码示例，使用`requests`, `BeautifulSoup`库来抓取网页内容，然后使用`pandas`将数据保存为CSV。注意实际操作中可能需要处理反爬机制，如登录验证、动态加载等。

import requests
from bs4 import BeautifulSoup
import pandas as pd

# 定义函数获取单页评论
def get_page_comments(url):
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
    }
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'lxml')
    
    comments = []
    for comment in soup.find_all('li', class_='comment-item'):
        user_info = comment.find('span', class_='author').text.strip()
        time_info = comment.find('time')['datetime']
        comments.append({'用户名': user_info, '评论时间': time_info})
    
    return comments

# 主程序开始爬取并保存数据
def main():
    url = 'https://www.bilibili.com/video/BV1SQ4y1V7do/?spm_id_from=333.999.0.0&vd_source=6e9299676612960e729'
    total_pages = 1  # 假设单页评论数已知或者通过页面总数计算
    
    all_comments = []  # 所有评论的列表
    for _ in range(total_pages):
        page_comments = get_page_comments(url)
        all_comments.extend(page_comments)
        
    df = pd.DataFrame(all_comments)
    df.to_csv('bilibili_comments.csv', index=False)

if __name__ == '__main__':
    main()