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python 爬虫 入门 五、抓取图片、视频

一、图片、音频

    抓取图片的手法在上一篇python 爬虫 入门 四、线程，进程，协程-CSDN博客里面其实有，就是文章中的图片部分，在那一篇文章，初始代码的28，29行，请求了图片。

img_response = requests.get(img_url) # 下载图片

img_stream = BytesIO(img_response.content)

    可以看出仅仅是将 之前获取文本、源代码的.text换为了.content。如果要保存，我们可以使用：

    with open("xxx.jpg", mode="wb") as f:  # jpeg/jpg/png/换请求到的格式
        f.write(resp.content)

    这就不赘述了，抓取音频也很像，这里拿Welcome to the Free Music Archive - Free Music Archive网站做个例子，虽然能直接按钮下载，但咱只学技术。


    打个比方，想下载这个网站的歌曲 但是下载要登录（我没登陆过，不确定登陆后能不能免费下），这个时候就该打开控制台了开始抓包了。通常来说，这种视频、音频的链接都不会开局就加载，而是会在你点击播放时，再向网页请求。


     如果你在网页直接输入这段长长的网址，就能当场播放这段音频，既然如此，我们直接用以下代码就能尝试下载（英语不好，听不懂在说啥。）https://files.freemusicarchive.org/storage-freemusicarchive-org/tracks/3VXD9eyhsZAUy5jjUWLgj3VGXR8ap7x54B6J6Paf.mp3

import requests

url = "https://files.freemusicarchive.org/storage-freemusicarchive-org/tracks/3VXD9eyhsZAUy5jjUWLgj3VGXR8ap7x54B6J6Paf.mp3"
headers = {
    # 用户代理，某些网站验证用户代理，微微改一下，如果提示要验证码之类的，使用它
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome"
                  "/118.0.0.0 Safari/537.36",
}

with requests.get(url=url, headers=headers,) as resp:
    resp.encoding = "utf-8"  # 当页面乱码改这里
    print(resp)
    with open("xxx.mp3", mode="wb") as f:  # 下载源码
        f.write(resp.content)

二、下载视频：

     下载视频的过程与图片和音频大不一样，较短的视频可以使用和上面相同的方法，但是长视频和视频播放网站用的时其他方法，比如https://www.pexels.com/zh-cn/video/3192166/这个网页中的视频就能用上述方法直接拿下，甚至给的就是下载链接。

    因为一段视频可能有几个G大小，用户又可能会拖动进度条。所以，视频通常会被“切片”，一般来说会1~2秒切做一片，通常最大不会超过20s。每个切片都是一个.ts文件，这些文件通过.m3u8文件组合起来，便是我们平常见的视频了。下面拿西游记做个演示：（其他网站差不多）《西游记86版》电视剧第1集完整版在线播放-星辰影院

基本上大部分网站视频都加密，不过问题不大，就是多一步解密而已 ，因此获取视频的步骤就是：
获取m3u8根据m3u8获取所有ts解密组合所有ts，获得mp4
开工之前，还有一件事，在目录建一个文件夹，并排除他，以作为ts临时目录，被排除的文件夹里面内容的更新不会引起PyCharm的更新。

正式开工，编写代码：

import asyncio
import os

import aiofiles
import aiohttp
import requests
from Crypto.Cipher import AES  # 解密
from tqdm.asyncio import tqdm_asyncio

def get_m3u8(url, headers):  # 获取m3u8中的所有ts链接
    m3u8_url = url + '/index.m3u8'
    with requests.get(url=m3u8_url, headers=headers, ) as resp:
        resp.encoding = "utf-8"  # 当页面乱码改这里
        m3u8_text = resp.text
    m3u8_text = m3u8_text.split("\n")  # 以回车分割
    m3u8_data = []
    for i in m3u8_text:  # 遍历m3u8,只找非#开头的ts链接，存到m3u8中
        if not (i.startswith('#') or i == ''):
            m3u8_data.append(i)
    return m3u8_data

def get_key(url, headers):  # 获取密钥
    key_url = url + '/enc.key'
    with requests.get(url=key_url, headers=headers, ) as resp:
        resp.encoding = "utf-8"  # 当页面乱码改这里
        key = resp.text
    return key.encode('utf-8')

async def get_ts(url, name, headers, save_path, aes, ts_ok, num):
    async with aiohttp.ClientSession() as session:
        async with session.get(url=url, headers=headers)as resp:
            async with aiofiles.open(save_path + '/' + name, mode='wb')as f:
                await f.write(aes.decrypt(await resp.content.read()))  # 下载ts(顺道解密)
    ts_ok[num] = True

async def get_all_ts(urls, names, headers, path, ts_ok, key):  # 协程下载所有ts
    aes = AES.new(key=key, IV=b'0000000000000000', mode=AES.MODE_CBC)
    tasks = []
    for i in range(len(urls)):
        if not ts_ok[i]:  # 这个没下载呢,添加任务
            tasks.append(asyncio.create_task(get_ts(urls[i], names[i], headers, path, aes, ts_ok, i)))
    for done in tqdm_asyncio.as_completed(tasks):  # 带进度条的显示任务
        await done

def merge_ts(mp4_path, ts_path):  # 组合所有ts为mp4
    path = ts_path + '\\*.ts'
    # os.system(f"cat {path} > {mp4_path}")  # mac使用，其他操作系统查找别的合成ts文件方法
    os.system(f"copy /b {path} {mp4_path}")  # windows使用，其他操作系统查找别的合成ts文件方法
    # 该方法需求保存时，名字按字母排序

if __name__ == "__main__":
    # 获取m3u8===================================================
    data_url = "https://hn.bfvvs.com/play/yb8lN7Wb"
    headers = {
        # 用户代理，某些网站验证用户代理，微微改一下，如果提示要验证码之类的，使用它
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome"
                      "/118.0.0.0 Safari/537.36",
    }
    save_path = "C:\\Users\\86135\\PycharmProjects\\pythonProject\\测试\\test"
    mp4_path = "video.mp4"
    m3u8 = get_m3u8(data_url, headers)
    # sava_names = [url_str.rsplit("/", 1)[-1] for url_str in m3u8]  # 获取按/从最右边分割一次后右边的字符串做文件名]
    sava_names = [f'{i:05d}.ts' for i in range(len(m3u8))]  # 为了合并，保存为00001~00265，以保证字母顺序不变
    enc_key = get_key(data_url, headers)
    all_ts_ok = [False] * len(m3u8)
    loop = asyncio.get_event_loop()
    loop.run_until_complete(get_all_ts(m3u8, sava_names, headers, save_path, all_ts_ok, enc_key))
    print(sum(all_ts_ok) / len(all_ts_ok))
    merge_ts(mp4_path, save_path)

运行结果，不到半分钟，一段400+MB的视频就下来了。

100%|██████████| 266/266 [00:18<00:00, 14.67it/s]
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其他文章目录入口：爬虫临时大纲-CSDN博客

标签： 1024程序员节 爬虫 python
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