avrahamappel

# Download in m4a format
--format="ba"
--extract-audio
--audio-format m4a

# Continue downloading if the download failed previously
--continue
--no-overwrites

# Set track number, album name, and artist name metadata tags

tinyapps

#!/usr/bin/env python3

"""
Forked and modified from pukkandan/ytdlp_nest_comments.py:
https://gist.github.com/pukkandan/ee737fec64822f2552caf3ca4cbf5db7
which included this license and copyright information:
"SPDX-License-Identifier: MIT https://opensource.org/licenses/MIT
Copyright © 2021 [email protected]"

Convert YouTube comments from an info.json file (acquired via

jabbalaci

#!/usr/bin/env python3

"""
using the yt-dlp package
"""

import json
from pprint import pprint

import yt_dlp

samiles

"""
This script downloads the audio and thumbnail of a YouTube video, uploads them to Amazon S3, and updates a podcast RSS feed.
The script uses yt-dlp, boto3, feedgen, and other libraries for various tasks.

Args:
video_url (str): URL of the YouTube video to process.

Prints:
Video title
Thumbnail download status

rajendrakumaryadav

import yt_dlp

url = input("Enter the URL of the video: ")
URLS = []
URLS.append(url)

ydl_opts = {
    'format': 'mp3/bestaudio/best',
    'postprocessors': [{
        'key': 'FFmpegExtractAudio',

AmirAref

from yt_dlp import YoutubeDL
from pandas import DataFrame

def extract_info(urls : list):
    # check parameter type
    if type(urls) == str:
        urls = [urls]
    # extract info
    data = []
    with YoutubeDL({'ignoreerrors':True}) as ytdl:

kl

# Plugin that creates an m3u playlist of the downloaded videos in the order
# they are downloaded. The m3u is named after the playlist and put in the
# output directory.

import os
# ⚠ Don't use relative imports
from yt_dlp.postprocessor.common import PostProcessor

# ℹ️ See the docstring of yt_dlp.postprocessor.common.PostProcessor
class SavePlaylistPP(PostProcessor):

Secozzi

from rich.highlighter import RegexHighlighter
from rich.console import Console
from rich.markup import escape
from rich.theme import Theme
from rich.style import Style
from rich.text import Text

import sys
import re

we-taper

#! python3
"""
Extract chapters part of the Youtube-dl's json info into a CUE file.

This file is in the public domain.

Requirements:
    pydantic
    python>=3.6

0017031

/** 
* @file   endianness.h
* @brief  Convert Endianness of shorts, longs, long longs, regardless of architecture/OS
*
* Defines (without pulling in platform-specific network include headers):
* bswap16, bswap32, bswap64, ntoh16, hton16, ntoh32 hton32, ntoh64, hton64
*
* Should support linux / macos / solaris / windows.
* Supports GCC (on any platform, including embedded), MSVC2015, and clang,
* and should support intel, solaris, and ibm compilers as well.