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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.document_loaders import YoutubeLoader
# !pip install youtube-transcript-api
loader = YoutubeLoader.from_youtube_url(
"", add_video_info=True

Add video info​

# ! pip install pytube
loader = YoutubeLoader.from_youtube_url(
"", add_video_info=True

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(
language=["en", "id"],

YouTube loader from Google Cloud​


  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

πŸ§‘ 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.document_loaders import GoogleApiClient, GoogleApiYoutubeLoader

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

# Use a Channel
youtube_loader_channel = GoogleApiYoutubeLoader(

# 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