小红书视频链接,下载原视频分析。有个需求是小红书链接,视频下载到本地

直接上代码,抓包分析了半天,走了不少弯路,果然 朴实无华 才是最优解

python 复制代码
# -*- coding: utf-8 -*-
# author: da_pangzi
# datetime: 2024/12/11 16:50 
# ide: PyCharm
import requests


headers = {
    "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
    "accept-language": "zh-CN,zh;q=0.9",
    "cache-control": "no-cache",
    "pragma": "no-cache",
    "priority": "u=0, i",
    "sec-ch-ua": "\"Google Chrome\";v=\"129\", \"Not=A?Brand\";v=\"8\", \"Chromium\";v=\"129\"",
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-platform": "\"Windows\"",
    "sec-fetch-dest": "document",
    "sec-fetch-mode": "navigate",
    "sec-fetch-site": "none",
    "sec-fetch-user": "?1",
    "upgrade-insecure-requests": "1",
    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/129.0.0.0 Safari/537.36"
}

url = 'https://www.xiaohongshu.com/explore/6736be40000000001b012bf8?xsec_token=ABc_-Jlz_TFVL_yoP0s-gPQi3EYGGrt24dSY2XRfBRkEk=&xsec_source=pc_feed'
response = requests.get(url, headers=headers)

print(response.text)
print(response)

下载到本地的

python 复制代码
# -*- coding: utf-8 -*-
# author: da_pangzi
# datetime: 2024/12/11 16:52 
# ide: PyCharm
import requests

url = "https://sns-video-al.xhscdn.com/stream/110/258/01e736be401b382d01037001932dd76d83_258.mp4"

response = requests.get(url, stream=True)
with open("video.mp4", "wb") as f:
    f.write(response.content)

其他的批量下载的,做一些提取的 操作就可以了。

相关推荐
05664617 分钟前
Python康复训练——控制流与函数
开发语言·python·学习
天使day43 分钟前
FastAPI快速入门
python·fastapi
databook1 小时前
用相关性分析消除“冗余特征”
python·机器学习·scikit-learn
幻想时空2 小时前
地图数据采集
python
梦想不只是梦与想2 小时前
Python 中的类型判断方法
python·type·isinstance
alphaTao2 小时前
LeetCode 每日一题 2026/7/27-2026/8/2
python·算法·leetcode
Kevin Wang7273 小时前
Nvidia-AGX-spark部署手册——课堂质量诊断(jetpack:r36)
python·docker·容器
Python私教4 小时前
Django 6.1 RC1 实测:FETCH_PEERS 两条 SQL 解决 N+1,select_related 还需要吗?
后端·python·django
玉鸯4 小时前
Agent 的任务编排:从 System Prompt 到 Hierarchical Multi-Agent
python·llm·agent
Python私教4 小时前
Django 6.0 自带 Tasks 到底能不能替代 Celery?跑完 3 组后台任务后我有答案了
后端·python·django