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Create source-linked caption chunks

Extract an existing caption track from one public video and return timed chunks linked to the original source. Choose language, chunk size and formats; inspect caption errors before adding text to your research pipeline.

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YouTube Transcript Scraper — Timestamped Chunks
YouTube Transcript Scraper — Timestamped Chunkskeystonelabs/youtube-transcript-scraper
video Id
title
language
language Fallback
+5 fields
Text
Number
Boolean
List
Object

Input

YouTube videos(required):https://www.youtube.com/watch?v=_f5VEaR-F2k
Preferred language:en
Require the exact caption language:false
Include source-linked chunks:true
Maximum characters per chunk:1000
Output formats:text+1
Max videos:1

Output fields

video Id
title
language
language Fallback
transcript
word Count
chunk Count
error Code
error

How it works

Sign up on Apify or log in

The YouTube Transcript Scraper — Timestamped Chunks Actor is ready to run with the inputs already set for "Create source-linked caption chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Create source-linked caption chunks" task

The YouTube Transcript Scraper — Timestamped Chunks Actor will start running based on the input automatically. You can also change all the input fields, like youtube videos, preferred language, and more, to match your specific use case.

Receive the "Create source-linked caption 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 video id, title, 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 "Create source-linked caption chunks" task via API.

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