Turn YouTube videos into RAG-ready chunks

Created by

Sebastián S

Actor

YouTube Transcript & Subtitle Scraper

Extract timestamped YouTube transcripts and split them into clean, overlapping chunks for semantic search, vector databases, and AI retrieval.

Try for free

YouTube Transcript & Subtitle Scrapersebastian-actors/youtube-transcript-scraper

Status

Video ID

Title

Channel

+8 fields

Input

YouTube video URLs or IDs(required):https://www.youtube.com/watch?v=aircAruvnKk

Preferred languages:en

Output formats:text+2

Transcript cleaning

Decode HTML entities:true

Normalize whitespace:true

Normalize Unicode:true

Deduplicate adjacent segments:true

Remove non-speech cues:true

Paragraph gap:2.5

RAG chunking

Maximum characters:1200

Overlap characters:150

Include timestamps:true

Output fields

Status

Video ID

Title

Channel

Language code

Caption type

Automatically generated

Translated

Words

Segments

Error code

Fetched at

How it works

Sign up on Apify or log in

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

Start the "Turn YouTube videos into RAG-ready chunks" task

The YouTube Transcript & Subtitle Scraper Actor will start running based on the input automatically. You can also change all the input fields, like youtube video urls or ids, preferred languages, and more, to match your specific use case.

Receive the "Turn YouTube videos into RAG-ready 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, video id, title, 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 YouTube videos into RAG-ready chunks" task via API.