# Best quality yt-dlp -f best "URL" yt-dlp --write-subs --sub-lang en "URL" Download entire playlist yt-dlp --yes-playlist "https://www.youtube.com/playlist?list=ANW_clips" 7. Handling Authentication (When Legal) If you have legal access (e.g., subscribed to Peacock API):
def download_hls(m3u8_url, output="output.mp4"): playlist = m3u8.load(m3u8_url) segments = [seg.uri for seg in playlist.segments]
| Need | Legal solution | |------|----------------| | Watch offline | Peacock Premium ($5.99/mo) – official downloads | | Clip compilation | Use YouTube API to save public short clips | | Data analysis | Use NBC’s press portal or request permission | | Personal archive | Record OTA broadcast with DVR (check local laws) | You cannot legally download full American Ninja Warrior episodes from Peacock or NBC.com due to DRM and copyright. For public clips, use yt-dlp or a simple HLS downloader. This guide is for education – always respect content ownership.
with ThreadPoolExecutor(max_workers=8) as executor: executor.map(download_segment, segments, range(len(segments)))
# Best quality yt-dlp -f best "URL" yt-dlp --write-subs --sub-lang en "URL" Download entire playlist yt-dlp --yes-playlist "https://www.youtube.com/playlist?list=ANW_clips" 7. Handling Authentication (When Legal) If you have legal access (e.g., subscribed to Peacock API):
def download_hls(m3u8_url, output="output.mp4"): playlist = m3u8.load(m3u8_url) segments = [seg.uri for seg in playlist.segments]
| Need | Legal solution | |------|----------------| | Watch offline | Peacock Premium ($5.99/mo) – official downloads | | Clip compilation | Use YouTube API to save public short clips | | Data analysis | Use NBC’s press portal or request permission | | Personal archive | Record OTA broadcast with DVR (check local laws) | You cannot legally download full American Ninja Warrior episodes from Peacock or NBC.com due to DRM and copyright. For public clips, use yt-dlp or a simple HLS downloader. This guide is for education – always respect content ownership.
with ThreadPoolExecutor(max_workers=8) as executor: executor.map(download_segment, segments, range(len(segments)))
