App Store Reviews Scraper — Apple App Reviews & Ratings

Pull user reviews and star ratings straight from the Apple App Store. Give the Actor any set of app IDs or App Store URLs and it returns every review Apple exposes — title, full text, rating, author, app version, helpful-votes, date and a direct link — for any country storefront. Public Apple feeds, so no login and no API key.

Perfect for product feedback analysis, review monitoring, competitor research, sentiment datasets, and release-quality tracking.

What you get

Field	Notes
rating	1–5 stars.
title, text	Review headline and full body.
userName	Reviewer's nickname.
appVersion	App version the review was left on — track quality across releases.
voteCount, voteSum	How many found the review helpful.
updated	Review date (ISO 8601).
reviewUrl	Direct link to the review.
appName, developer, appAverageRating	App context (when Include app metadata is on).
appId, country	Which app and storefront the review came from.

Output schema

Field	Type	Description
appId	string	Numeric App Store ID of the app the review belongs to.
appName	string	Name of the app.
country	string	Storefront country code the review was collected from.
reviewId	string	Unique identifier of the review.
userName	string	Reviewer's public nickname.
userUrl	string (URL)	Link to the reviewer's public App Store profile.
title	string	Review headline.
text	string	Full review body text.
rating	integer	Star rating from 1 to 5.
appVersion	string	App version the review was left on.
voteSum	integer	Net helpful-vote score for the review.
voteCount	integer	Number of users who voted on the review's helpfulness.
updated	string (ISO date)	Date and time the review was posted or last updated.
reviewUrl	string (URL)	Direct link to the review.
developer	string	App developer name.
appAverageRating	number	Overall average star rating of the app.

Input

{
  "appIds": ["324684580", "https://apps.apple.com/us/app/id310633997"],
  "country": "us",
  "sortBy": "mostRecent",
  "maxReviewsPerApp": 0
}

• appIds — numeric app IDs or full App Store URLs, one per line.
• country — storefront code (us, gb, de, fr, jp, br, …). Reviews are per-country.
• sortBy — mostRecent or mostHelpful.
• maxReviewsPerApp — cap per app (0 = all Apple exposes, ~500 per country).
• includeAppMeta — attach app name / developer / overall rating to each review.
• maxConcurrency — apps processed in parallel.
• proxyConfiguration — optional; only needed if you hit rate limits.

Output (one row per review)

{
  "appId": "324684580",
  "appName": "Spotify: Music and Podcasts",
  "country": "us",
  "reviewId": "14283108814",
  "userName": "musiclover42",
  "title": "Great app",
  "text": "Been using it for years…",
  "rating": 5,
  "appVersion": "9.1.62",
  "voteCount": 3,
  "updated": "2026-07-09T11:40:19-07:00",
  "reviewUrl": "https://itunes.apple.com/us/review?id=324684580"
}

FAQ

Do I need an API key or Apple account? No. The Actor reads Apple's public review feeds, so there's no login, no API key and no Apple Developer account required — just add app IDs or App Store URLs and run.

How many reviews can I get per app? Apple's public feed exposes up to ~500 recent reviews per app per country. Set maxReviewsPerApp (0 = all Apple exposes), and run across several country storefronts to go deeper on a popular app.

Is scraping the Apple App Store legal? The Actor collects only publicly available review data from the Apple App Store public feeds — the same content any visitor sees. Public data is generally collectible; use it in line with Apple's terms and applicable law.

Does it collect emails or reviewer contact info? No. It captures the reviewer's nickname, rating, title, text, app version and helpful-votes, but no private contact details such as emails.

What's the output format? One structured JSON row per review, optionally enriched with app metadata (name, developer, overall rating). Export as JSON, CSV or Excel for feedback analysis.

Can I connect this to other apps and services? The App Store Reviews Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Related Actors

Track product and brand sentiment across platforms with these companions:

• Trustpilot Reviews Scraper — collect ratings, text and company replies from Trustpilot.
• Google Maps Reviews Scraper — pull reviewer names, ratings and text from Google Maps places.
• Google Maps Scraper — find local businesses by keyword and location for market research.
• Website Content Crawler — extract clean page text for building review or NLP datasets.

Notes

Apple's public review feed exposes up to ~500 recent reviews per app per country — to go deeper on a popular app, run it across several country storefronts. Only publicly available review data is collected.