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Turn a YouTube playlist into RAG-ready transcript chunks

Extract transcripts from every video in a YouTube playlist and split them into overlapping, token-sized chunks ready for embeddings and vector search.

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YouTube Transcript Scraper (AI-Ready)
YouTube Transcript Scraper (AI-Ready)suicidalsquirrel/youtube-transcript-actor
Status
Title
Transcript language
Word count
Text
Number
Boolean
List
Object

Input

Playlists:https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Maximum videos per playlist or channel:10
Preferred languages:en
RAG chunking
Enable chunking(required):true
Maximum tokens per chunk(required):800
Overlap tokens(required):80

Output fields

Status
Title
Transcript language
Word count

How it works

Sign up on Apify or log in

The YouTube Transcript Scraper (AI-Ready) Actor is ready to run with the inputs already set for "Turn a YouTube playlist into RAG-ready transcript chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn a YouTube playlist into RAG-ready transcript chunks" task

The YouTube Transcript Scraper (AI-Ready) Actor will start running based on the input automatically. You can also change all the input fields, like playlists, maximum videos per playlist or channel, and more, to match your specific use case.

Receive the "Turn a YouTube playlist into RAG-ready transcript chunks" 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, title, transcript language, 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 playlist into RAG-ready transcript chunks" task via API.

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