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Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt

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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

%pip install -qU  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 -qU  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())))

​
YouTube loader from Google Cloud

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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 -U 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()