知识点:

动态数据抓包
requests发送请求
json数据解析

开发环境:

运行代码

python 3.8

辅助敲代码

pycharm 2021.2

第三方模块

requests

如果安装python第三方模块:

win + R 输入 cmd 点击确定, 输入安装命令 pip install 模块名 (pip install requests) 回车
在pycharm中点击Terminal(终端) 输入安装命令

如何配置pycharm里面的python解释器?

选择file(文件) >>> setting(设置) >>> Project(项目) >>> python interpreter(python解释器)
点击齿轮, 选择add
添加python安装路径

pycharm如何安装插件?

选择file(文件) >>> setting(设置) >>> Plugins(插件)
点击 Marketplace 输入想要安装的插件名字比如:翻译插件输入 translation / 汉化插件输入 Chinese
选择相应的插件点击 install(安装) 即可
安装成功之后是会弹出重启pycharm的选项点击确定, 重启即可生效

基本思路流程（通用）

发送请求
获取数据
解析数据
保存数据

代码

导入模块

import requests     # 发送请求 访问网站
import re
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加入伪装

url = 'https://www.\.com/graphql'
# 伪装
headers = {
    'content-type': 'application/json',
    'Cookie': 'kpf=PC_WEB; kpn=KUAISHOU_VISION; clientid=3; did=web_ea128125517a46bd491ae9ccb255e242; client_key=65890b29; didv=1646739254078; _bl_uid=pCldq3L00L61qCzj6fytnk2wmhz5; userId=270932146; kuaishou.server.web_st=ChZrdWFpc2hvdS5zZXJ2ZXIud2ViLnN0EqABJBZGcI4Czt3EqaG90aWFm2EPPYcAQlkuV3ZOkHUBcqEtWV--udx6stXFOhEkGgx4tNCBS9Vhl-GstWLkvn-r_eV1072IPsO8d5sUcUuTJv3nicPWVBcfHW813ST2a4uN7HyHsnpnRkjx2BFXoMRmdSO4tbAgy3-3QRTaw05tiEp79qGRfQgVmK4kVJLOTF9X7o9vSjrLrTaRxEf0rwsXJhoSsmhEcimAl3NtJGybSc8y6sdlIiCkLEL3ZiZwp85TGjXIHaw7KGda_VNpfdZ1qigsOkLmESgFMAE; kuaishou.server.web_ph=ad8a744eb59aab3bf509625671ad16837e66',
    'Host': 'www.\.com',
    'Origin': 'https://www.\.com',
    'Referer': 'https://www.\.com/search/video?searchKey=%E5%8F%8C%E9%A9%AC%E5%B0%BE',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36',
}
# 传数据
for page in range(1, 10):
    json = {
        'operationName': "visionSearchPhoto",
        'query': "fragment photoContent on PhotoEntity {\n  id\n  duration\n  caption\n  likeCount\n  viewCount\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  __typename\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    __typename\n  }\n  canAddComment\n  llsid\n  status\n  currentPcursor\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",
        'variables': {'keyword': "双马尾", 'pcursor': str(page), 'page': "search", 'searchSessionId': "MTRfMjcwOTMyMTQ2XzE2NTU3MjcyNTU3NjFf5Y-M6ams5bC-XzUwMDQ"}
    }
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1. 发送请求

    response = requests.post(url=url, headers=headers, json=json)
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2. 获取数据

<Response [200]>: 请求成功

    feeds = response.json()['data']['visionSearchPhoto']['feeds']

    for feed in feeds:
        author_id = feed['author']['id']
        photo_id = feed['photo']['id']
        print(author_id, photo_id)
        caption = feed['photo']['caption']
        photoUrl = feed['photo']['photoUrl']
        print(caption, photoUrl)
        caption = re.sub('[\\/:"?<>|\\n]', '', caption)
        json_like = {
        源码、解答、教程可加Q裙：832157862免费领取
            'operationName': "visionVideoLike",
            'query': "mutation visionVideoLike($photoId: String, $photoAuthorId: String, $cancel: Int, $expTag: String) {\n  visionVideoLike(photoId: $photoId, photoAuthorId: $photoAuthorId, cancel: $cancel, expTag: $expTag) {\n    result\n    __typename\n  }\n}\n",
            'variables': {
                'cancel': 0,
                'expTag': "1_ihttps://files.jxasp.com/image/2005246154318902369_xpcwebsearchxxnull0",
                'photoAuthorId': author_id,
                'photoId': photo_id
            }
        }
        resp_ = requests.post(url=url, headers=headers, json=json_like)
        # video_data = requests.get(photoUrl).content
        # with open(f'video/{caption}.mp4', mode='wb') as f:
        #     f.write(video_data)
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