python爬取B站视频

参考：https://cloud.tencent.com/developer/article/1768680

参考的代码有点问题，请求头需要修改，上代码：

import requests
import re  # 正则表达式
import pprint
import json
from moviepy.editor import AudioFileClip, VideoFileClip
from bs4 import BeautifulSoup as bsheaders = {# 防盗链 告诉服务器 我们请求的url网址是从哪里跳转过来的'referer': 'https://www.bilibili.com/a','User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36'
}def send_request(url):response = requests.get(url=url, headers=headers)return responsedef get_video_data(html_data):"""解析视频数据"""# 提取视频的标题soup = bs(html_data, 'lxml')title = soup.find_all(name='h1',attrs={"class":"video-title special-text-indent"})[0].get_text()# print(title)# 提取视频对应的json数据json_data = re.findall('<script>window\.__playinfo__=(.*?)</script>', html_data)[0]# print(json_data)  # json_data 字符串json_data = json.loads(json_data)pprint.pprint(json_data)# 提取音频的url地址audio_url = json_data['data']['dash']['audio'][0]['backupUrl'][0]print('解析到的音频地址:', audio_url)# 提取视频画面的url地址video_url = json_data['data']['dash']['video'][0]['backupUrl'][0]print('解析到的视频地址:', video_url)video_data = [title, audio_url, video_url]return video_datadef save_data(file_name, audio_url, video_url):# 请求数据print('正在请求音频数据')audio_data = send_request(audio_url).contentprint('正在请求视频数据')video_data = send_request(video_url).contentwith open(file_name + '.mp3', mode='wb') as f:f.write(audio_data)print('正在保存音频数据')with open(file_name + '.mp4', mode='wb') as f:f.write(video_data)print('正在保存视频数据')def merge_data(video_name):print('视频合成开始:', video_name)audioclip = AudioFileClip(video_name+'.mp3')videoclip = VideoFileClip(video_name+'.mp4')# 3.获取视频和音频的时长video_time = videoclip.durationaudio_time = audioclip.duration# 4.对视频或者音频进行裁剪if video_time > audio_time:# 视频时长>音频时长，对视频进行截取videoclip_new = videoclip.subclip(0, audio_time)audioclip_new = audioclipelse:# 音频时长>视频时长，对音频进行截取videoclip_new = videoclipaudioclip_new = audioclip.subclip(0, video_time)# 5.视频中加入音频video_with_new_audio = videoclip_new.set_audio(audioclip_new)# 6.写入到新的视频文件中video_with_new_audio.write_videofile("output.mp4",codec='libx264',audio_codec='aac',temp_audiofile='temp-video.m4a',remove_temp=True)print('视频合成结束:', video_name)url = 'https://www.bilibili.com/video/BV1bK421a7qG/?spm_id_from=333.1007.tianma.6-4-22.click'
response = send_request(url)
response.encoding = requests.utils.get_encodings_from_content(response.text)[0]
html_data = response.text
video_data = get_video_data(html_data)
save_data(video_data[0], video_data[1], video_data[2])
merge_data(video_data[0])

效果

小姐姐挺靓，就是左下角有水印，想办法去除水印，参考：python实战之去除视频水印&字幕_python 去除视频水印-CSDN博客

import os
import sys
import cv2
import numpy
from moviepy import editorTEMP_VIDEO = 'temp.mp4'class WatermarkRemover():def __init__(self, video_path, output, threshold: int, kernel_size: int):self.threshold = threshold  # 阈值分割所用阈值self.kernel_size = kernel_size  # 膨胀运算核尺寸self.video_path = video_pathself.output = output#根据用户手动选择的ROI（Region of Interest，感兴趣区域）框选水印或字幕位置。def select_roi(self, img: numpy.ndarray, hint: str) -> list:'''框选水印或字幕位置，SPACE或ENTER键退出:param img: 显示图片:return: 框选区域坐标'''COFF = 0.7w, h = int(COFF * img.shape[1]), int(COFF * img.shape[0])resize_img = cv2.resize(img, (w, h))roi = cv2.selectROI(hint, resize_img, False, False)cv2.destroyAllWindows()watermark_roi = [int(roi[0] / COFF), int(roi[1] / COFF), int(roi[2] / COFF), int(roi[3] / COFF)]return watermark_roi#对输入的蒙版进行膨胀运算，扩大蒙版的范围def dilate_mask(self, mask: numpy.ndarray) -> numpy.ndarray:'''对蒙版进行膨胀运算:param mask: 蒙版图片:return: 膨胀处理后蒙版'''kernel = numpy.ones((self.kernel_size, self.kernel_size), numpy.uint8)mask = cv2.dilate(mask, kernel)return mask#根据手动选择的ROI区域，在单帧图像中生成水印或字幕的蒙版。def generate_single_mask(self, img: numpy.ndarray, roi: list, threshold: int) -> numpy.ndarray:'''通过手动选择的ROI区域生成单帧图像的水印蒙版:param img: 单帧图像:param roi: 手动选择区域坐标:param threshold: 二值化阈值:return: 水印蒙版'''# 区域无效，程序退出if len(roi) != 4:print('NULL ROI!')sys.exit()# 复制单帧灰度图像ROI内像素点roi_img = numpy.zeros((img.shape[0], img.shape[1]), numpy.uint8)start_x, end_x = int(roi[1]), int(roi[1] + roi[3])start_y, end_y = int(roi[0]), int(roi[0] + roi[2])gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)roi_img[start_x:end_x, start_y:end_y] = gray[start_x:end_x, start_y:end_y]# 阈值分割_, mask = cv2.threshold(roi_img, threshold, 255, cv2.THRESH_BINARY)return mask#通过截取视频中多帧图像生成多张水印蒙版，并通过逻辑与计算生成最终的水印蒙版def generate_watermark_mask(self, video_path: str) -> numpy.ndarray:'''截取视频中多帧图像生成多张水印蒙版，通过逻辑与计算生成最终水印蒙版:param video_path: 视频文件路径:return: 水印蒙版'''video = cv2.VideoCapture(video_path)success, frame = video.read()roi = self.select_roi(frame, 'select watermark ROI')mask = numpy.ones((frame.shape[0], frame.shape[1]), numpy.uint8)mask.fill(255)step = video.get(cv2.CAP_PROP_FRAME_COUNT) // 5index = 0while success:if index % step == 0:mask = cv2.bitwise_and(mask, self.generate_single_mask(frame, roi, self.threshold))success, frame = video.read()index += 1video.release()return self.dilate_mask(mask)#根据手动选择的ROI区域，在单帧图像中生成字幕的蒙版。def generate_subtitle_mask(self, frame: numpy.ndarray, roi: list) -> numpy.ndarray:'''通过手动选择ROI区域生成单帧图像字幕蒙版:param frame: 单帧图像:param roi: 手动选择区域坐标:return: 字幕蒙版'''mask = self.generate_single_mask(frame, [0, roi[1], frame.shape[1], roi[3]], self.threshold)  # 仅使用ROI横坐标区域return self.dilate_mask(mask)def inpaint_image(self, img: numpy.ndarray, mask: numpy.ndarray) -> numpy.ndarray:'''修复图像:param img: 单帧图像:parma mask: 蒙版:return: 修复后图像'''telea = cv2.inpaint(img, mask, 1, cv2.INPAINT_TELEA)return teleadef merge_audio(self, input_path: str, output_path: str, temp_path: str):'''合并音频与处理后视频:param input_path: 原视频文件路径:param output_path: 封装音视频后文件路径:param temp_path: 无声视频文件路径'''with editor.VideoFileClip(input_path) as video:audio = video.audiowith editor.VideoFileClip(temp_path) as opencv_video:clip = opencv_video.set_audio(audio)clip.to_videofile(output_path)def remove_video_watermark(self):'''去除视频水印'''if not os.path.exists(self.output):os.makedirs(self.output)filenames = [os.path.join(self.video_path, i) for i in os.listdir(self.video_path)]mask = Nonefor i, name in enumerate(filenames):if i == 0:# 生成水印蒙版mask = self.generate_watermark_mask(name)# 创建待写入文件对象video = cv2.VideoCapture(name)fps = video.get(cv2.CAP_PROP_FPS)size = (int(video.get(cv2.CAP_PROP_FRAME_WIDTH)), int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)))video_writer = cv2.VideoWriter(TEMP_VIDEO, cv2.VideoWriter_fourcc(*'mp4v'), fps, size)# 逐帧处理图像success, frame = video.read()while success:frame = self.inpaint_image(frame, mask)video_writer.write(frame)success, frame = video.read()video.release()video_writer.release()# 封装视频(_, filename) = os.path.split(name)output_path = os.path.join(self.output, filename.split('.')[0] + '_no_watermark.mp4')  # 输出文件路径self.merge_audio(name, output_path, TEMP_VIDEO)if os.path.exists(TEMP_VIDEO):os.remove(TEMP_VIDEO)def remove_video_subtitle(self):'''去除视频字幕'''if not os.path.exists(self.output):os.makedirs(self.output)filenames = [os.path.join(self.video_path, i) for i in os.listdir(self.video_path)]roi = []for i, name in enumerate(filenames):# 创建待写入文件对象video = cv2.VideoCapture(name)fps = video.get(cv2.CAP_PROP_FPS)size = (int(video.get(cv2.CAP_PROP_FRAME_WIDTH)), int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)))video_writer = cv2.VideoWriter(TEMP_VIDEO, cv2.VideoWriter_fourcc(*'mp4v'), fps, size)# 逐帧处理图像success, frame = video.read()if i == 0:roi = self.select_roi(frame, 'select subtitle ROI')while success:mask = self.generate_subtitle_mask(frame, roi)frame = self.inpaint_image(frame, mask)video_writer.write(frame)success, frame = video.read()video.release()video_writer.release()# 封装视频(_, filename) = os.path.split(name)output_path = os.path.join(OUTPUT_PATH, filename.split('.')[0] + '_no_sub.mp4')  # 输出文件路径self.merge_audio(name, output_path, TEMP_VIDEO)if os.path.exists(TEMP_VIDEO):os.remove(TEMP_VIDEO)# 去水印
video_path = 'video'
output_path = 'output'
remover = WatermarkRemover(video_path,output_path,threshold=80, kernel_size=5)
remover.remove_video_watermark()   
#去字幕
# remover = WatermarkRemover(video_path,output_path,threshold=80, kernel_size=5)
# remover.remove_video_subtitle()

效果一般吧：