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Monitor a podcast for new episode transcripts

Schedule this task daily or weekly to transcribe only the podcast episodes published since the last run. Episodes already transcribed are skipped, so you never pay twice. Send the transcripts to Slack, Google Sheets or your app with Apify integrations.

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Podcast Transcript Scraper: Any Podcast to Text & SRT
Podcast Transcript Scraper: Any Podcast to Text & SRTfguiraud/podcast-transcript-scraper
Podcast
Episode
Published
Status
+4 fields
Text
Number
Boolean
List
Object

Input

Podcasts:https://feeds.npr.org/500005/podcast.xml
Episodes per feed:3
Only new episodes:true
What to return:text+1

Output fields

Podcast
Episode
Published
Status
Language
Duration (s)
Billed min
Transcript

How it works

Sign up on Apify or log in

The Podcast Transcript Scraper: Any Podcast to Text & SRT Actor is ready to run with the inputs already set for "Monitor a podcast for new episode transcripts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Monitor a podcast for new episode transcripts" task

The Podcast Transcript Scraper: Any Podcast to Text & SRT Actor will start running based on the input automatically. You can also change all the input fields, like podcasts, episodes per feed, and more, to match your specific use case.

Receive the "Monitor a podcast for new episode transcripts" 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 podcast, episode, published, 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 "Monitor a podcast for new episode transcripts" task via API.

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Integrate "Monitor a podcast for new episode transcripts" into your workflow

Connect "Monitor a podcast for new episode transcripts" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

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