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Extract YouTube Captions with Timestamps

Extract YouTube Captions with Timestamps. Turn YouTube videos into text for RAG, research and content workflows. Submit video URLs or IDs and retrieve available captions with optional timestamps. The Actor retrieves accessible captions; it does not transcribe audio or guarantee captions for every video. Unavailable, blocked, deleted or captionless videos return explained outcomes. Language.

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YouTube Transcript Scraper: Bulk Videos, Shorts & Timestamps
YouTube Transcript Scraper: Bulk Videos, Shorts & Timestampshirepulse/youtube-transcript-scraper
Title
Channel
Status
Language
+5 fields
Text
Number
Boolean
List
Object

Input

Videos(required):https://www.youtube.com/watch?v=dQw4w9WgXcQ
Preferred language:en
Include timestamps:true

Output fields

Title
Channel
Status
Language
Words
Seconds
Video
Transcript
Note

How it works

Sign up on Apify or log in

The YouTube Transcript Scraper: Bulk Videos, Shorts & Timestamps Actor is ready to run with the inputs already set for "Extract YouTube Captions with Timestamps". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract YouTube Captions with Timestamps" task

The YouTube Transcript Scraper: Bulk Videos, Shorts & Timestamps Actor will start running based on the input automatically. You can also change all the input fields, like videos, preferred language, and more, to match your specific use case.

Receive the "Extract YouTube Captions with Timestamps" 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 title, channel, status, 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 "Extract YouTube Captions with Timestamps" task via API.

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Integrate "Extract YouTube Captions with Timestamps" into your workflow

Connect "Extract YouTube Captions with Timestamps" with 100+ integrations, or run it via API or MCP.

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