Skip to main content
Open In ColabOpen on GitHub

YouTube transcripts

YouTube is an online video sharing and social media platform created by Google.

This notebook covers how to load documents from YouTube transcripts.

from langchain_community.document_loaders import YoutubeLoader
API Reference:YoutubeLoader
%pip install --upgrade --quiet  youtube-transcript-api
loader = YoutubeLoader.from_youtube_url(
    "https://www.youtube.com/watch?v=QsYGlZkevEg", add_video_info=False
)
loader.load()

Add video info​

%pip install --upgrade --quiet  pytube
loader = YoutubeLoader.from_youtube_url(
    "https://www.youtube.com/watch?v=QsYGlZkevEg", add_video_info=True
)
loader.load()

Add language preferences​

Language param : It's a list of language codes in a descending priority, en by default.

translation param : It's a translate preference, you can translate available transcript to your preferred language.

loader = YoutubeLoader.from_youtube_url(
    "https://www.youtube.com/watch?v=QsYGlZkevEg",
    add_video_info=True,
    language=["en", "id"],
    translation="en",
)
loader.load()

Get transcripts as timestamped chunks​

Get one or more Document objects, each containing a chunk of the video transcript. The length of the chunks, in seconds, may be specified. Each chunk's metadata includes a URL of the video on YouTube, which will start the video at the beginning of the specific chunk.

transcript_format param: One of the langchain_community.document_loaders.youtube.TranscriptFormat values. In this case, TranscriptFormat.CHUNKS.

chunk_size_seconds param: An integer number of video seconds to be represented by each chunk of transcript data. Default is 120 seconds.

from langchain_community.document_loaders.youtube import TranscriptFormat

loader = YoutubeLoader.from_youtube_url(
    "https://www.youtube.com/watch?v=TKCMw0utiak",
    add_video_info=True,
    transcript_format=TranscriptFormat.CHUNKS,
    chunk_size_seconds=30,
)
print("\n\n".join(map(repr, loader.load())))
API Reference:TranscriptFormat

YouTube loader from Google Cloud​

Prerequisites​

  1. Create a Google Cloud project or use an existing project
  2. Enable the Youtube Api
  3. Authorize credentials for desktop app
  4. pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib youtube-transcript-api

🧑 Instructions for ingesting your Google Docs data​

By default, the GoogleDriveLoader expects the credentials.json file to be ~/.credentials/credentials.json, but this is configurable using the credentials_file keyword argument. Same thing with token.json. Note that token.json will be created automatically the first time you use the loader.

GoogleApiYoutubeLoader can load from a list of Google Docs document ids or a folder id. You can obtain your folder and document id from the URL: Note depending on your set up, the service_account_path needs to be set up. See here for more details.

# Init the GoogleApiClient
from pathlib import Path

from langchain_community.document_loaders import GoogleApiClient, GoogleApiYoutubeLoader

google_api_client = GoogleApiClient(credentials_path=Path("your_path_creds.json"))


# Use a Channel
youtube_loader_channel = GoogleApiYoutubeLoader(
    google_api_client=google_api_client,
    channel_name="Reducible",
    captions_language="en",
)

# Use Youtube Ids

youtube_loader_ids = GoogleApiYoutubeLoader(
    google_api_client=google_api_client, video_ids=["TrdevFK_am4"], add_video_info=True
)

# returns a list of Documents
youtube_loader_channel.load()

Was this page helpful?