要解决这个问题,可以按照以下步骤进行操作:
requests
和beautifulsoup4
。import requests
from bs4 import BeautifulSoup
import csv
import pandas as pd
requests
库发送GET请求来获取网页内容。url = 'https://v.qq.com/channel/movie1'
res = requests.get(url)
html = res.text
beautifulsoup4
库来解析获取的网页内容。soup = BeautifulSoup(html, 'html.parser')
# 根据具体的HTML结构,找到电影信息所在的HTML元素
movie_elements = soup.select('.figures_list .list_item')
# 遍历每个电影元素,并获取电影的链接
movie_links = []
for element in movie_elements:
movie_link = element.select_one('a.figure_link')['href']
movie_links.append(movie_link)
danmu_data = []
for link in movie_links:
danmu_url = 'https://bullet.video.qq.com/fcgi-bin/target/regist?otype=json&vid=' + link.split('/')[-1].split('.')[0]
danmu_res = requests.get(danmu_url).json()
danmu_list = danmu_res['comments']
for danmu in danmu_list:
danmu_comment = danmu['content']
danmu_data.append(danmu_comment)
# 以CSV格式保存数据
with open('danmu.csv', 'w', newline='', encoding='utf-8') as file:
writer = csv.writer(file)
writer.writerow(['Danmu'])
writer.writerows([[danmu] for danmu in danmu_data])
# 以Excel格式保存数据
df = pd.DataFrame({'Danmu': danmu_data})
df.to_excel('danmu.xlsx', index=False)
以上就是使用Python爬虫爬取腾讯视频中电影的弹幕并将其保存到CSV或Excel文件的具体步骤和代码。请注意,代码中涉及到的具体选择器和URL格式可能会根据腾讯视频网站的更新而发生变化,所以可能需要根据实际情况进行适当的调整。