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Transcribe the latest episode of a podcast RSS feed

Content teams can turn the newest episode of any public podcast RSS feed into text. This example transcribes the first 10 minutes of the latest NPR episode and returns the transcript with language, word count and episode details.

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Podcast Transcript Scraper, Audio Transcriber, RSS and Apple
Podcast Transcript Scraper, Audio Transcriber, RSS and Applegeorge.the.developer/podcast-transcript-scraper
Source
Podcast
Episode
Published
+6 fields
Text
Number
Boolean
List
Object

Input

RSS or Apple Podcasts URLs:https://feeds.npr.org/500005/podcast.xml
Episodes per podcast:1
Minutes per episode:10
Whisper model:base

Output fields

Source
Podcast
Episode
Published
Audio seconds
Truncated
Language
Words
Transcript
Paid event

How it works

Sign up on Apify or log in

The Podcast Transcript Scraper, Audio Transcriber, RSS and Apple Actor is ready to run with the inputs already set for "Transcribe the latest episode of a podcast RSS feed". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Transcribe the latest episode of a podcast RSS feed" task

The Podcast Transcript Scraper, Audio Transcriber, RSS and Apple Actor will start running based on the input automatically. You can also change all the input fields, like RSS or Apple Podcasts URLs, episodes per podcast, and more, to match your specific use case.

Receive the "Transcribe the latest episode of a podcast RSS feed" 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, podcast, episode, 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 the latest episode of a podcast RSS feed" task via API.

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