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Collect iOS App Reviews for Feature Request Research

Collect written iOS App Store reviews as source material for feature-request research. This Daylio example saves review titles, text, ratings, and dates. Export the dataset, then identify and group requests in your own analysis. The Actor does not label feature requests automatically.

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App Store Reviews Scraper [FAST] | iOS Ratings & Reviews
App Store Reviews Scraper [FAST] | iOS Ratings & Reviewsapizy/apple-app-store-reviews-scraper
Review id
App id
Rating
Title
+7 fields
Text
Number
Boolean
List
Object

Input

App Store URL or app ID:1194023242
Store country:us
Maximum reviews per app:200
Reviews to inspect per app:500

Output fields

Review id
App id
Rating
Title
Text
Date
Reviewer name
Is edited
Country
Source
App

How it works

Sign up on Apify or log in

The App Store Reviews Scraper [FAST] | iOS Ratings & Reviews Actor is ready to run with the inputs already set for "Collect iOS App Reviews for Feature Request Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect iOS App Reviews for Feature Request Research" task

The App Store Reviews Scraper [FAST] | iOS Ratings & Reviews Actor will start running based on the input automatically. You can also change all the input fields, like app store url or app id, store country, and more, to match your specific use case.

Receive the "Collect iOS App Reviews for Feature Request Research" 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 review id, app id, rating, 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 "Collect iOS App Reviews for Feature Request Research" task via API.

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