简单爬虫案例——爬取快手视频

网址:aHR0cHM6Ly93d3cua3VhaXNob3UuY29tL3NlYXJjaC92aWRlbz9zZWFyY2hLZXk9JUU2JThCJTg5JUU5JTlEJUEy

找到视频接口:

视频链接在photourl中

完整代码:

python 复制代码
import requests

import re
url = 'https://www.kuaishou.com/graphql'
cookies = {
    'did': 'web_9e8cfa4403000587b9e7d67233e6b04c',
    'didv': '1719811812378',
    'kpf': 'PC_WEB',
    'clientid': '3',
    'kpn': 'KUAISHOU_VISION',
}

headers = {
    'Accept-Language': 'zh-CN,zh;q=0.9',
    'Cache-Control': 'no-cache',
    'Connection': 'keep-alive',
    # 'Cookie': 'did=web_9e8cfa4403000587b9e7d67233e6b04c; didv=1719811812378; kpf=PC_WEB; clientid=3; kpn=KUAISHOU_VISION',
    'Origin': 'https://www.kuaishou.com',
    'Pragma': 'no-cache',
    'Referer': 'https://www.kuaishou.com/search/video?searchKey=%E6%8B%89%E9%9D%A2',
    'Sec-Fetch-Dest': 'empty',
    'Sec-Fetch-Mode': 'cors',
    'Sec-Fetch-Site': 'same-origin',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36',
    'accept': '*/*',
    'content-type': 'application/json',
    'sec-ch-ua': '"Not/A)Brand";v="8", "Chromium";v="126", "Google Chrome";v="126"',
    'sec-ch-ua-mobile': '?0',
    'sec-ch-ua-platform': '"Windows"',
}

json_data = {
    'operationName': 'visionSearchPhoto',
    'variables': {
        'keyword': '拉面',
        'pcursor': '',
        'page': 'search',
    },
    'query': 'fragment photoContent on PhotoEntity {\n  __typename\n  id\n  duration\n  caption\n  originCaption\n  likeCount\n  viewCount\n  commentCount\n  realLikeCount\n  coverUrl\n  photoUrl\n  photoH265Url\n  manifest\n  manifestH265\n  videoResource\n  coverUrls {\n    url\n    __typename\n  }\n  timestamp\n  expTag\n  animatedCoverUrl\n  distance\n  videoRatio\n  liked\n  stereoType\n  profileUserTopPhoto\n  musicBlocked\n  riskTagContent\n  riskTagUrl\n}\n\nfragment recoPhotoFragment on recoPhotoEntity {\n  __typename\n  id\n  duration\n  caption\n  originCaption\n  likeCount\n  viewCount\n  commentCount\n  realLikeCount\n  coverUrl\n  photoUrl\n  photoH265Url\n  manifest\n  manifestH265\n  videoResource\n  coverUrls {\n    url\n    __typename\n  }\n  timestamp\n  expTag\n  animatedCoverUrl\n  distance\n  videoRatio\n  liked\n  stereoType\n  profileUserTopPhoto\n  musicBlocked\n  riskTagContent\n  riskTagUrl\n}\n\nfragment feedContent on Feed {\n  type\n  author {\n    id\n    name\n    headerUrl\n    following\n    headerUrls {\n      url\n      __typename\n    }\n    __typename\n  }\n  photo {\n    ...photoContent\n    ...recoPhotoFragment\n    __typename\n  }\n  canAddComment\n  llsid\n  status\n  currentPcursor\n  tags {\n    type\n    name\n    __typename\n  }\n  __typename\n}\n\nquery visionSearchPhoto($keyword: String, $pcursor: String, $searchSessionId: String, $page: String, $webPageArea: String) {\n  visionSearchPhoto(keyword: $keyword, pcursor: $pcursor, searchSessionId: $searchSessionId, page: $page, webPageArea: $webPageArea) {\n    result\n    llsid\n    webPageArea\n    feeds {\n      ...feedContent\n      __typename\n    }\n    searchSessionId\n    pcursor\n    aladdinBanner {\n      imgUrl\n      link\n      __typename\n    }\n    __typename\n  }\n}\n',
}

response = requests.post(url=url, cookies=cookies, headers=headers, json=json_data)
for index in response.json()['data']['visionSearchPhoto']['feeds']:
    title = index['photo']['caption']
    newtitle = re.sub(r'[\\/?<>:*|\n\r]','',title)
    link = index['photo']['photoUrl']
    print(title,link)
    content = requests.get(url=link,headers=headers).content
    with open('快手video//'+title+'.mp4','wb') as f:
        f.write(content)

结果展现:

相关推荐
Caco_D9 天前
一行代码抓遍全网 20 个热榜!Aneiang.Pa 4.0 发布 — 极简 .NET 爬虫库
爬虫·.net
太岁又沐风14 天前
复现并修掉ART hook框架 Pine 调用原方法时的偶发 SIGSEGV
爬虫
隔窗听雨眠15 天前
大模型加爬虫上篇:技术融合与架构革新
爬虫·架构
Super Scraper15 天前
如何批量抓取 TikTok 数据而不被封锁?完整指南
爬虫·ai·自动化·抖音·tiktok·ai agent
深蓝电商API15 天前
自动化录屏 + 截图:打造爬虫调试的上帝视角
爬虫
tang7778915 天前
市场调研自动化采集架构:基于住宅IP轮换的APP数据抓取与反风控方案
爬虫·动态代理ip·爬虫代理ip·爬虫动态ip·住宅代理ip·动态住宅ip
数据知道15 天前
指纹浏览器环境的导入、导出、快照与云端同步机制
爬虫·数据采集·指纹浏览器
星川皆无恙15 天前
大数据k-means聚类算法:基于k-means聚类算法+NLP微博舆情数据爬虫可视化分析推荐系统(新版)
大数据·人工智能·爬虫·算法·机器学习·自然语言处理·kmeans
小二·15 天前
Rust 爬虫与数据处理实战:大规模并发抓取 + 流式处理
开发语言·爬虫·rust