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Transcribe a podcast's back catalogue for show notes

Video podcasts publish hundreds of hours and almost none of it is searchable. Run the channel once and every episode comes back as text, newest first, with duration and view count so you can see which ones are worth writing up. Enough to draft show notes, build an episode index, or answer "which episode was that in?".

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YouTube Channel Transcript Scraper ⚡ Bulk, No API Key
YouTube Channel Transcript Scraper ⚡ Bulk, No API Keycleanfeed/youtube-channel-transcript-downloader
Source channel
Success
Video ID
Video title
+6 fields
Text
Number
Boolean
List
Object

Input

Channels(required):https://www.youtube.com/@hubermanlab
Max videos per channel:25

Output fields

Source channel
Success
Video ID
Video title
Channel name
Duration (seconds)
Language
Segment count
Full transcript text
Error code

How it works

Sign up on Apify or log in

The YouTube Channel Transcript Scraper ⚡ Bulk, No API Key Actor is ready to run with the inputs already set for "Transcribe a podcast's back catalogue for show notes". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe a podcast's back catalogue for show notes" task

The YouTube Channel Transcript Scraper ⚡ Bulk, No API Key Actor will start running based on the input automatically. You can also change all the input fields, like channels and max videos per channel, to match your specific use case.

Receive the "Transcribe a podcast's back catalogue for show notes" 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 source channel, success, video id, 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 "Transcribe a podcast's back catalogue for show notes" task via API.

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Integrate "Transcribe a podcast's back catalogue for show notes" into your workflow

Connect "Transcribe a podcast's back catalogue for show notes" with 100+ integrations, or run it via API or MCP.

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