Python带你实现批量自动点赞小程序

前言

大家早好、午好、晚好吖 ❤ ~欢迎光临本文章

所用知识点:

• 动态数据抓包

• requests发送请求

• json数据解析

开发环境:

• python 3.8 运行代码

• pycharm 2022.3 辅助敲代码

• requests 请求模块 第三方需安装

  win + R 输入cmd 输入安装命令 pip install 模块名

爬虫案例如何实现

1. 发送请求

2. 获取数据

3. 解析数据

4. 保存数据

代码展示

导入模块

import requests

1. 发送请求

url = 'https://*****/graphql'

伪装

# a. 请求方式是什么?
# post
# b. 请求头
headers = {
    # 登陆之后,cookie里面会存储账号信息
    'Cookie': 'kpf=PC_WEB; clientid=3; did=web_4bf90ac4df8aaef2d99527f1da1063fd; userId=3075864129; kpn=KUAISHOU_VISION; kuaishou.server.web_st=ChZrdWFpc2hvdS5zZXJ2ZXIud2ViLnN0EqABwgHhKM9-oogbgtutzowJEttqd5KamRJ9hNag-Elf82OEdJdt4lodSEThrdp1MLPgFl-6cdtZ1dshlUAYh-sHYS3dgBB8iZ_tqBzosa79OffPexwG6aWCkIgjdglclYP7KtYppEXrzXdwGt-2d-ZB6IxGTWINrZ5HOtAFzVukl4W23Vy2n19JBxuHMJDxpP4sBwW4rFP0QNklm91AbvsvsBoS7YoRGiN2PM_7zCD1Dj9m5oYoIiCaVnNEAqYiNgeeOzP3DC_9EWJBkH_O0cAr7fedfqlmeigFMAE; kuaishou.server.web_ph=507361000af22c186ded0b017d8e740f042a',
    # 域名
    'Host': 'www.****',
    # 防盗链
    'Referer': 'https://*****/profile/3xgapy2dxxbzsvw',
    # 设备信息
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36'
}
pcursor = ""
while True:
    # c. 请求参数(请求体)
    json = {
        'operationName':"visionProfilePhotoList",
        'query':"fragment photoContent on PhotoEntity {\n  id\n  duration\n  caption\n  originCaption\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  musicBlocked\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  tags {\n    type\n    name\n    __typename\n  }\n  __typename\n}\n\nquery visionProfilePhotoList($pcursor: String, $userId: String, $page: String, $webPageArea: String) {\n  visionProfilePhotoList(pcursor: $pcursor, userId: $userId, page: $page, webPageArea: $webPageArea) {\n    result\n    llsid\n    webPageArea\n    feeds {\n      ...feedContent\n      __typename\n    }\n    hostName\n    pcursor\n    __typename\n  }\n}\n",
        'variables': {'userId': "3xjqise3ywy8abk", 'pcursor': pcursor, 'page': "profile"}
    }
    response = requests.post(url=url, headers=headers, json=json)

2. 获取数据

    # Python字典
    json_data = response.json()

3. 解析数据 提取数据 需要的数据

    feeds = json_data['data']['visionProfilePhotoList']['feeds']
    pcursor = json_data['data']['visionProfilePhotoList']['pcursor']
    for feed in feeds:
        caption = feed['photo']['caption']
        photoUrl = feed['photo']['photoUrl']
        # 点赞 / 评论 / ....
        _id = feed['photo']['id']
        author_id = feed['author']['id']
        expTag = feed['photo']['expTag']
        like_json = {
            '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': expTag, 'photoAuthorId': author_id, 'photoId': _id}
        }
        resp = requests.post(url=url, headers=headers, json=like_json)
        print(resp)
        # print(caption, photoUrl)
        # video_data = requests.get(photoUrl).content

4. 保存数据

        # with open(f'{caption}.mp4', mode='wb') as f:
        #     f.write(video_data)
    if pcursor == 'no_more':
        break

尾语

好了今天的分享就差不多到这里了

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