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Python 3 library for downloading YouTube Videos.

Project description

pypi Documentation Status

pytube3

Installation

Download using pip via pypi.

$ pip install pytube3 --upgrade

(Mac/homebrew users may need to use pip3)

Quick start

 >>> from pytube import YouTube
 >>> YouTube('https://youtu.be/9bZkp7q19f0').streams.first().download()
 >>>
 >>> yt = YouTube('http://youtube.com/watch?v=9bZkp7q19f0')
 >>> yt.streams
  ... .filter(progressive=True, file_extension='mp4')
  ... .order_by('resolution')
  ... .desc()
  ... .first()
  ... .download()

Features

  • Support for Both Progressive & DASH Streams
  • Support for downloading complete playlist
  • Easily Register on_download_progress & on_download_complete callbacks
  • Command-line Interfaced Included
  • Caption Track Support
  • Outputs Caption Tracks to .srt format (SubRip Subtitle)
  • Ability to Capture Thumbnail URL.
  • Extensively Documented Source Code
  • No Third-Party Dependencies

Usage

Let's begin with showing how easy it is to download a video with pytube:

>>> from pytube import YouTube
>>> YouTube('http://youtube.com/watch?v=9bZkp7q19f0').streams.first().download()

This example will download the highest quality progressive download stream available.

Next, let's explore how we would view what video streams are available:

>>> yt = YouTube('http://youtube.com/watch?v=9bZkp7q19f0')
>>> yt.streams.all()
 [<Stream: itag="22" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.64001F" acodec="mp4a.40.2">,
 <Stream: itag="43" mime_type="video/webm" res="360p" fps="30fps" vcodec="vp8.0" acodec="vorbis">,
 <Stream: itag="18" mime_type="video/mp4" res="360p" fps="30fps" vcodec="avc1.42001E" acodec="mp4a.40.2">,
 <Stream: itag="36" mime_type="video/3gpp" res="240p" fps="30fps" vcodec="mp4v.20.3" acodec="mp4a.40.2">,
 <Stream: itag="17" mime_type="video/3gpp" res="144p" fps="30fps" vcodec="mp4v.20.3" acodec="mp4a.40.2">,
 <Stream: itag="137" mime_type="video/mp4" res="1080p" fps="30fps" vcodec="avc1.640028">,
 <Stream: itag="248" mime_type="video/webm" res="1080p" fps="30fps" vcodec="vp9">,
 <Stream: itag="136" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.4d401f">,
 <Stream: itag="247" mime_type="video/webm" res="720p" fps="30fps" vcodec="vp9">,
 <Stream: itag="135" mime_type="video/mp4" res="480p" fps="30fps" vcodec="avc1.4d401e">,
 <Stream: itag="244" mime_type="video/webm" res="480p" fps="30fps" vcodec="vp9">,
 <Stream: itag="134" mime_type="video/mp4" res="360p" fps="30fps" vcodec="avc1.4d401e">,
 <Stream: itag="243" mime_type="video/webm" res="360p" fps="30fps" vcodec="vp9">,
 <Stream: itag="133" mime_type="video/mp4" res="240p" fps="30fps" vcodec="avc1.4d4015">,
 <Stream: itag="242" mime_type="video/webm" res="240p" fps="30fps" vcodec="vp9">,
 <Stream: itag="160" mime_type="video/mp4" res="144p" fps="30fps" vcodec="avc1.4d400c">,
 <Stream: itag="278" mime_type="video/webm" res="144p" fps="30fps" vcodec="vp9">,
 <Stream: itag="140" mime_type="audio/mp4" abr="128kbps" acodec="mp4a.40.2">,
 <Stream: itag="171" mime_type="audio/webm" abr="128kbps" acodec="vorbis">,
 <Stream: itag="249" mime_type="audio/webm" abr="50kbps" acodec="opus">,
 <Stream: itag="250" mime_type="audio/webm" abr="70kbps" acodec="opus">,
 <Stream: itag="251" mime_type="audio/webm" abr="160kbps" acodec="opus">]

Selecting an itag

You may notice that some streams listed have both a video codec and audio codec, while others have just video or just audio, this is a result of YouTube supporting a streaming technique called Dynamic Adaptive Streaming over HTTP (DASH).

In the context of pytube, the implications are for the highest quality streams; you now need to download both the audio and video tracks and then post-process them with software like FFmpeg to merge them.

The legacy streams that contain the audio and video in a single file (referred to as "progressive download") are still available, but only for resolutions 720p and below.

To only view these progressive download streams:

 >>> yt.streams.filter(progressive=True).all()
  [<Stream: itag="22" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.64001F" acodec="mp4a.40.2">,
  <Stream: itag="43" mime_type="video/webm" res="360p" fps="30fps" vcodec="vp8.0" acodec="vorbis">,
  <Stream: itag="18" mime_type="video/mp4" res="360p" fps="30fps" vcodec="avc1.42001E" acodec="mp4a.40.2">,
  <Stream: itag="36" mime_type="video/3gpp" res="240p" fps="30fps" vcodec="mp4v.20.3" acodec="mp4a.40.2">,
  <Stream: itag="17" mime_type="video/3gpp" res="144p" fps="30fps" vcodec="mp4v.20.3" acodec="mp4a.40.2">]

Conversely, if you only want to see the DASH streams (also referred to as "adaptive") you can do:

>>> yt.streams.filter(adaptive=True).all()
 [<Stream: itag="137" mime_type="video/mp4" res="1080p" fps="30fps" vcodec="avc1.640028">,
  <Stream: itag="248" mime_type="video/webm" res="1080p" fps="30fps" vcodec="vp9">,
  <Stream: itag="136" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.4d401f">,
  <Stream: itag="247" mime_type="video/webm" res="720p" fps="30fps" vcodec="vp9">,
  <Stream: itag="135" mime_type="video/mp4" res="480p" fps="30fps" vcodec="avc1.4d401e">,
  <Stream: itag="244" mime_type="video/webm" res="480p" fps="30fps" vcodec="vp9">,
  <Stream: itag="134" mime_type="video/mp4" res="360p" fps="30fps" vcodec="avc1.4d401e">,
  <Stream: itag="243" mime_type="video/webm" res="360p" fps="30fps" vcodec="vp9">,
  <Stream: itag="133" mime_type="video/mp4" res="240p" fps="30fps" vcodec="avc1.4d4015">,
  <Stream: itag="242" mime_type="video/webm" res="240p" fps="30fps" vcodec="vp9">,
  <Stream: itag="160" mime_type="video/mp4" res="144p" fps="30fps" vcodec="avc1.4d400c">,
  <Stream: itag="278" mime_type="video/webm" res="144p" fps="30fps" vcodec="vp9">,
  <Stream: itag="140" mime_type="audio/mp4" abr="128kbps" acodec="mp4a.40.2">,
  <Stream: itag="171" mime_type="audio/webm" abr="128kbps" acodec="vorbis">,
  <Stream: itag="249" mime_type="audio/webm" abr="50kbps" acodec="opus">,
  <Stream: itag="250" mime_type="audio/webm" abr="70kbps" acodec="opus">,
  <Stream: itag="251" mime_type="audio/webm" abr="160kbps" acodec="opus">]

You can also download a complete Youtube playlist:

>>> from pytube import Playlist
>>> pl = Playlist("https://www.youtube.com/watch?v=Edpy1szoG80&list=PL153hDY-y1E00uQtCVCVC8xJ25TYX8yPU")
>>> pl.download_all()
>>> # or if you want to download in a specific directory
>>> pl.download_all('/path/to/directory/')

This will download the highest progressive stream available (generally 720p) from the given playlist. Later more options would be given for user's flexibility to choose video resolution.

Filtering

Pytube allows you to filter on every property available (see the documentation for the complete list), let's take a look at some of the most useful ones.

To list the audio only streams:

>>> yt.streams.filter(only_audio=True).all()
  [<Stream: itag="140" mime_type="audio/mp4" abr="128kbps" acodec="mp4a.40.2">,
  <Stream: itag="171" mime_type="audio/webm" abr="128kbps" acodec="vorbis">,
  <Stream: itag="249" mime_type="audio/webm" abr="50kbps" acodec="opus">,
  <Stream: itag="250" mime_type="audio/webm" abr="70kbps" acodec="opus">,
  <Stream: itag="251" mime_type="audio/webm" abr="160kbps" acodec="opus">]

To list only mp4 streams:

>>> yt.streams.filter(subtype='mp4').all()
 [<Stream: itag="22" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.64001F" acodec="mp4a.40.2">,
  <Stream: itag="18" mime_type="video/mp4" res="360p" fps="30fps" vcodec="avc1.42001E" acodec="mp4a.40.2">,
  <Stream: itag="137" mime_type="video/mp4" res="1080p" fps="30fps" vcodec="avc1.640028">,
  <Stream: itag="136" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.4d401f">,
  <Stream: itag="135" mime_type="video/mp4" res="480p" fps="30fps" vcodec="avc1.4d401e">,
  <Stream: itag="134" mime_type="video/mp4" res="360p" fps="30fps" vcodec="avc1.4d401e">,
  <Stream: itag="133" mime_type="video/mp4" res="240p" fps="30fps" vcodec="avc1.4d4015">,
  <Stream: itag="160" mime_type="video/mp4" res="144p" fps="30fps" vcodec="avc1.4d400c">,
  <Stream: itag="140" mime_type="audio/mp4" abr="128kbps" acodec="mp4a.40.2">]

Multiple filters can also be specified:

>>> yt.streams.filter(subtype='mp4', progressive=True).all()
>>> # this can also be expressed as:
>>> yt.streams.filter(subtype='mp4').filter(progressive=True).all()
  [<Stream: itag="22" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.64001F" acodec="mp4a.40.2">,
  <Stream: itag="18" mime_type="video/mp4" res="360p" fps="30fps" vcodec="avc1.42001E" acodec="mp4a.40.2">]

You also have an interface to select streams by their itag, without needing to filter:

>>> yt.streams.get_by_itag(22)
  <Stream: itag="22" mime_type="video/mp4" res="720p" fps="30fps" vcodec="avc1.64001F" acodec="mp4a.40.2">

If you need to optimize for a specific feature, such as the "highest resolution" or "lowest average bitrate":

>>> yt.streams.filter(progressive=True).order_by('resolution').desc().all()

Note that order_by cannot be used if your attribute is undefined in any of the Stream instances, so be sure to apply a filter to remove those before calling it.

Callbacks

If your application requires post-processing logic, pytube allows you to specify an "on download complete" callback function:

 >>> def convert_to_aac(stream, file_handler):
         return  # do work

 >>> yt.register_on_complete_callback(convert_to_aac)

Similarly, if your application requires on-download progress logic, pytube exposes a callback for this as well:

 >>> def show_progress_bar(stream, chunk, file_handler, bytes_remaining):
         return  # do work

 >>> yt.register_on_progress_callback(show_progress_bar)

Command-line interface

pytube also ships with a tiny cli interface for downloading and probing videos.

Let's start with downloading:

$ pytube3 http://youtube.com/watch?v=9bZkp7q19f0 --itag=22

To view available streams:

$ pytube3 http://youtube.com/watch?v=9bZkp7q19f0 --list

Finally, if you're filing a bug report, the cli contains a switch called --build-playback-report, which bundles up the state, allowing others to easily replay your issue.

Development

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

To run code checking before a PR use make test

Virtual environment

Virtual environment is setup with pipenv and can be automatically activated with direnv

Code Formatting

This project is linted with pyflakes, formatted with black, and typed with mypy

Testing

This project is tested with pytest and coverage is evaluated with coveralls.

Code of Conduct

Treat other people with helpfulness, gratitude, and consideration! See the Python Community Code of Conduct.

See also

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