Apple App Store Review Intelligence

Analyze public Apple App Store customer reviews for one app and receive normalized review records plus an aggregate intelligence report.

What it returns

The default dataset contains one record per public review with the app ID, storefront, rating, title, text, author display name, app version, timestamps, and Apple review URL. The OUTPUT and SUMMARY key-value records contain:

• rating distribution and average collected rating;
• lightweight positive/neutral/negative sentiment signals;
• ranked themes such as performance, login, pricing, notifications, usability, and features;
• representative positive and negative review excerpts;
• app metadata returned by Apple's lookup endpoint.

Example input:

{"appIdOrUrl":"310633997","country":"us","sortBy":"mostrecent","maxReviews":50}

Use appIdOrUrl for a precise match. appName can be used for an Apple search when the numeric ID is unknown. country is a two-letter storefront code such as us, gb, or ca.

Pricing

Event	Price	Value
Actor start	$0.00005	One run start
Review intelligence report	$0.02	One delivered aggregate report

Review rows are delivered in the dataset and are not charged as separate report events. Actual platform billing is governed by the live private Actor configuration.

Reliability and limitations

The Actor uses Apple's publicly accessible App Store review page and a bounded RSS fallback. It does not log in, bypass a challenge, or fabricate reviews. Apple exposes a bounded public feed, so the result may contain fewer reviews than requested. If the storefront has no public reviews, the Actor returns an empty report with zero dataset records. Sentiment and themes are transparent lexical signals rather than human- or model-validated classifications.

Review text and public author display names may be personal data. Use the output only for a lawful product-research purpose, respect Apple's terms and applicable privacy rules, and avoid republishing review text without the necessary rights.