Turn a YouTube channel into a RAG dataset

Created by

Spool

Actor

YouTube Transcript Scraper — Subtitles, SRT/VTT & RAG Chunks

Point it at any channel and get every video transcribed into overlapping, timestamped chunks ready for a vector database. Each chunk keeps its start and end time, so a retrieved passage links back to the exact second in the video.

Try for free

YouTube Transcript Scraper — Subtitles, SRT/VTT & RAG Chunksspool/youtube-transcript-api

Video

Channel

Lang

Auto

+5 fields

Input

YouTube videos, channels or playlists(required):https://www.youtube.com/@3blue1brown

Max videos per channel/playlist:25

Preferred languages:en

Chunk size (characters):1000

Chunk overlap (characters):150

Output fields

Video

Channel

Lang

Auto

Words

Chars

Chunks

Seconds

URL

How it works

Sign up on Apify or log in

The YouTube Transcript Scraper — Subtitles, SRT/VTT & RAG Chunks Actor is ready to run with the inputs already set for "Turn a YouTube channel into a RAG dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn a YouTube channel into a RAG dataset" task

The YouTube Transcript Scraper — Subtitles, SRT/VTT & RAG Chunks Actor will start running based on the input automatically. You can also change all the input fields, like youtube videos, channels or playlists, max videos per channel/playlist, and more, to match your specific use case.

Receive the "Turn a YouTube channel into a RAG 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 video, channel, lang, 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 "Turn a YouTube channel into a RAG dataset" task via API.