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YouTube Channel to Text: Transcripts of Every Video

Paste a YouTube channel link (@handle or /channel/UC…) and get the transcript of its newest videos, one row per video, with title, publish date and views. Ready for AI, RAG or content research. This example transcribes the 10 newest Google for Developers videos.

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YouTube Transcript Scraper - Captions & Subtitles
YouTube Transcript Scraper - Captions & Subtitlesherus13/youtube-transcript-scraper
Video id
Title
Channel name
Language
+9 fields
Text
Number
Boolean
List
Object

Input

Video, playlist, or channel URLs:https://www.youtube.com/@GoogleDevelopers
Preferred caption language:en
Max videos per playlist/channel:10

Output fields

Video id
Title
Channel name
Language
Is generated
Duration seconds
View count
Published at
Transcript text
Url
Scraped at
Outcome
Outcome message

How it works

Sign up on Apify or log in

The YouTube Transcript Scraper - Captions & Subtitles Actor is ready to run with the inputs already set for "YouTube Channel to Text: Transcripts of Every Video". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Channel to Text: Transcripts of Every Video" task

The YouTube Transcript Scraper - Captions & Subtitles Actor will start running based on the input automatically. You can also change all the input fields, like video, playlist, or channel urls, preferred caption language, and more, to match your specific use case.

Receive the "YouTube Channel to Text: Transcripts of Every Video" 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, channel name, 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 "YouTube Channel to Text: Transcripts of Every Video" task via API.

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