Python爬虫实战之批量下载快手平台视频数据
作者:松鼠爱吃饼干
读万卷书不如行万里路,学的扎不扎实要通过实战才能看出来,本篇文章手把手带你批量下载快手平台视频数据,大家可以在过程中查缺补漏,看看自己掌握程度怎么样
知识点
- requests
- json
- re
- pprint
开发环境:
- 版 本:anaconda5.2.0(python3.6.5)
- 编辑器:pycharm
案例实现步骤:
一. 数据来源分析
(只有当你找到数据来源的时候, 才能通过代码实现)
1.确定需求 (要爬取的内容是什么?)
- 爬取某个关键词对应的视频 保存mp4
2.通过开发者工具进行抓包分析 分析数据从哪里来的(找出真正的数据来源)?
- 静态加载页面
- 笔趣阁为例
- 动态加载页面
- 开发者工具抓数据包
【付费VIP完整版】只要看了就能学会的教程,80集Python基础入门视频教学
二. 代码实现过程
- 找到目标网址
- 发送请求 get post
- 解析数据 (获取视频地址 视频标题)
- 发送请求 请求每个视频地址
- 保存视频
今天的目标
三. 单个视频
导入所需模块
import json import requests import re
发送请求
data = { 'operationName': "visionSearchPhoto", 'query': "query 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 type\n author {\n id\n name\n following\n headerUrl\n headerUrls {\n cdn\n url\n __typename\n }\n __typename\n }\n tags {\n type\n name\n __typename\n }\n photo {\n id\n duration\n caption\n likeCount\n realLikeCount\n coverUrl\n photoUrl\n liked\n timestamp\n expTag\n coverUrls {\n cdn\n url\n __typename\n }\n photoUrls {\n cdn\n url\n __typename\n }\n animatedCoverUrl\n stereoType\n videoRatio\n __typename\n }\n canAddComment\n currentPcursor\n llsid\n status\n __typename\n }\n searchSessionId\n pcursor\n aladdinBanner {\n imgUrl\n link\n __typename\n }\n __typename\n }\n}\n", 'variables': { 'keyword': '张三', 'pcursor': ' ', 'page': "search", 'searchSessionId': "MTRfMjcwOTMyMTQ2XzE2Mjk5ODcyODQ2NTJf5oWi5pGHXzQzMQ" } response = requests.post('https://www.kuaishou.com/graphql', data=data)
加请求头
headers = { # Content-Type(内容类型)的格式有四种(对应data):分别是 # 爬虫基础/xml: 把xml作为一个文件来传输 # multipart/form-data: 用于文件上传 'content-type': 'application/json', # 用户身份标识 'Cookie': 'kpf=PC_WEB; kpn=KUAISHOU_VISION; clientid=3; did=web_721a784b472981d650bcb8bbc5e9c9c2', # 浏览器信息 (伪装成浏览器发送请求) 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36', }
json序列化操作
# json数据交换格式, 在JSON出现之前, 大家一直用XML来传递数据 # 由于各个语言都支持 JSON ,JSON 又支持各种数据类型,所以JSON常用于我们日常的 HTTP 交互、数据存储等。 # 将python对象编码成Json字符串 data = json.dumps(data) json_data = requests.post('https://www.kuaishou.com/graphql', headers=headers, data=data).json()
字典取值
feeds = json_data['data']['visionSearchPhoto']['feeds'] for feed in feeds: caption = feed['photo']['caption'] photoUrl = feed['photo']['photoUrl'] new_title = re.sub(r'[/\:*?<>/\n] ', '-', caption)
再次发送请求
resp = requests.get(photoUrl).content
保存数据
with open('video\\' + title + '.mp4', mode='wb') as f: f.write(resp) print(title, '爬取成功!!!')
四. 翻页爬取
导入模块
import concurrent.futures import time
发送请求
def get_json(url, data): response = requests.post(url, headers=headers, data=data).json() return response
修改标题
def change_title(title): # windows系统文件命名 不能含有特殊字符... # windows文件命名 字符串不能超过 256... new_title = re.sub(r'[/\\|:?<>"*\n]', '_', title) if len(new_title) > 50: new_title = new_title[:10] return new_title
数据提取
def parse(json_data): data_list = json_data['data']['visionSearchPhoto']['feeds'] info_list = [] for data in data_list: # 提取标题 title = data['photo']['caption'] new_title = change_title(title) url_1 = data['photo']['photoUrl'] info_list.append([new_title, url_1]) return info_list
保存数据
def save(title, url_1): resp = requests.get(url_1).content with open('video\\' + title + '.mp4', mode='wb') as f: f.write(resp) print(title, '爬取成功!!!')
主函数 调动所有的函数
def run(url, data): """主函数 调动所有的函数""" json_data = get_json(url, data) info_list = parse(json_data) for title, url_1 in info_list: save(title, url_1) if __name__ == '__main__': start_time = time.time() with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor: for page in range(1, 5): url = 'https://www.kuaishou.com/graphql' data = { 'operationName': "visionSearchPhoto", 'query': "query 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 type\n author {\n id\n name\n following\n headerUrl\n headerUrls {\n cdn\n url\n __typename\n }\n __typename\n }\n tags {\n type\n name\n __typename\n }\n photo {\n id\n duration\n caption\n likeCount\n realLikeCount\n coverUrl\n photoUrl\n liked\n timestamp\n expTag\n coverUrls {\n cdn\n url\n __typename\n }\n photoUrls {\n cdn\n url\n __typename\n }\n animatedCoverUrl\n stereoType\n videoRatio\n __typename\n }\n canAddComment\n currentPcursor\n llsid\n status\n __typename\n }\n searchSessionId\n pcursor\n aladdinBanner {\n imgUrl\n link\n __typename\n }\n __typename\n }\n}\n", 'variables': { 'keyword': '曹芬', # 'keyword': keyword, 'pcursor': str(page), 'page': "search", 'searchSessionId': "MTRfMjcwOTMyMTQ2XzE2Mjk5ODcyODQ2NTJf5oWi5pGHXzQzMQ" } } data = json.dumps(data) executor.submit(run, url, data, ) print('一共花费了:', time.time()-start_time)
耗时为57.7秒
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