Course playlist transcripts as an LLM dataset

Created by

Gautham Krishna

Actor

YouTube Channel & Playlist Transcripts

Turn a whole YouTube course into a text dataset for fine-tuning, RAG or study notes. This example reads Andrej Karpathy's "Neural Networks: Zero to Hero" playlist, one row per lecture with the full transcript.

Try for free

YouTube Channel & Playlist Transcriptsheyitsgautham/youtube-channel-transcripts

Status

Source

Title

+9 fields

Input

Channels and playlists(required):https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ

Max videos per source:3

Output fields

Status

Source

Title

Published (UTC)

Views

Language

Auto captions

Words

Transcript

URL

Note

Source URL

How it works

Sign up on Apify or log in

The YouTube Channel & Playlist Transcripts Actor is ready to run with the inputs already set for "Course playlist transcripts as an LLM dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Course playlist transcripts as an LLM dataset" task

The YouTube Channel & Playlist Transcripts Actor will start running based on the input automatically. You can also change all the input fields, like channels and playlists and max videos per source, to match your specific use case.

Receive the "Course playlist transcripts as an LLM dataset" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, source, #, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Course playlist transcripts as an LLM dataset" task via API.