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Apple Podcast Reviews Extractor

Gain insights from the latest reviews of 'The Daily' podcast on Apple Podcasts. This task extracts 200 of the most recent customer reviews, including ratings, titles, dates, reviewer names, and feedback, giving you a comprehensive overview of audience sentiment. Ideal for tracking reputation and analyzing listener perspectives.

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Apple Podcast Reviews Scraper
Apple Podcast Reviews Scrapershahidirfan/apple-podcast-reviews-scraper
Record type
Source
Podcast ID
Country
+9 fields
Text
Number
Boolean
List
Object

Input

Podcast URL or ID(required):https://podcasts.apple.com/us/podcast/the-daily/id1200361736
Country:us
Review sorting:mostRecent
Results wanted:200
Proxy configuration:{1 field}

Output fields

Record type
Source
Podcast ID
Country
Review ID
Author
Review title
Review content
Rating
Updated
Helpful votes
Vote count
Review URL

How it works

Sign up on Apify or log in

The Apple Podcast Reviews Scraper Actor is ready to run with the inputs already set for "Apple Podcast Reviews Extractor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Apple Podcast Reviews Extractor" task

The Apple Podcast Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like podcast url or id, country, and more, to match your specific use case.

Receive the "Apple Podcast Reviews Extractor" 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 record type, source, podcast 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 "Apple Podcast Reviews Extractor" task via API.

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