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Podcasts: new episodes of three shows, last 7 days

Monitoring example: every episode three podcasts released in the last 7 days with audio URLs, duration and show notes — feed it into a transcription or summary pipeline. Replace the shows with yours.

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Podcast Episodes Scraper — Apple Podcasts, RSS, Audio URLs
Podcast Episodes Scraper — Apple Podcasts, RSS, Audio URLschorelet/podcast-episodes-scraper
Podcast
Published
Episode title
Duration
+2 fields
Text
Number
Boolean
List
Object

Input

Podcasts(required):https://podcasts.apple.com/us/podcast/the-daily/id1200361736+2
Only episodes newer than:7 days

Output fields

Podcast
Published
Episode title
Duration
Audio URL
Episode page

How it works

Sign up on Apify or log in

The Podcast Episodes Scraper — Apple Podcasts, RSS, Audio URLs Actor is ready to run with the inputs already set for "Podcasts: new episodes of three shows, last 7 days". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Podcasts: new episodes of three shows, last 7 days" task

The Podcast Episodes Scraper — Apple Podcasts, RSS, Audio URLs Actor will start running based on the input automatically. You can also change all the input fields, like podcasts and only episodes newer than, to match your specific use case.

Receive the "Podcasts: new episodes of three shows, last 7 days" 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, published, episode title, 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 "Podcasts: new episodes of three shows, last 7 days" task via API.

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Integrate "Podcasts: new episodes of three shows, last 7 days" into your workflow

Connect "Podcasts: new episodes of three shows, last 7 days" with 100+ integrations, or run it via API or MCP.

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