Apple App Store Reviews Scraper — Extract iOS Reviews, Ratings & App Feedback Without API Limits

Collect every customer review for any Apple App Store app — review title, full text, star rating, reviewer name, date, app version, and helpful votes — for app review sentiment analysis, App Store Optimization (ASO), competitor app monitoring, and product feedback research. This actor uses Apple's own same-origin relay to the App Store media API to pull unlimited-offset review history per app (plus an RSS fallback), bypassing the usual Apple API limits.

Main Use Cases

• App review sentiment analysis — analyze review text, star ratings, and reviewer tone for your iOS app or competitors
• App Store Optimization (ASO) research — study what users praise and complain about to guide listing and feature decisions
• Competitor app monitoring — track competitor reviews and rating trends to spot gaps and feature requests
• App feedback & product research — collect structured customer voice before roadmap decisions and investor/PM research
• Release-impact tracking — see how sentiment shifts after each app update by version and rating
• Building labeled review datasets — feed review text, star ratings, and helpful votes into NLP or LLM pipelines

How It Works

You give the actor an App Store URL or app ID (or several). It fetches Apple's public review sources — the internal App Store media API by default (for unlimited review history) or the public RSS feed (for up to 500 reviews with extra metadata like app version and helpful votes). It handles pagination, retry/backoff, request pacing, proxy handling, and de-duplication, then writes one clean record per review to the Apify dataset.

Get Complete App Review Histories Without App Store Connect Access

Apple does not offer a public reviews API, and App Store Connect only exposes reviews for apps you own. The standard public RSS feed is capped at ~500 reviews with limited metadata. This actor gets around those limits by using Apple's same-origin relay to the internal App Store media API, which supports paging far deeper into each app's review history, alongside the RSS path when you want app-version and helpful-vote data.

Input

Configure which apps and how many reviews to scrape. All values come from the actor's input schema.

Parameter	Type	Description
appUrls	array	Apple App Store URLs or numeric app IDs, one per line. Example: https://apps.apple.com/us/app/instagram/id389801252 or 389801252. Required.
maxReviews	integer	Max reviews to scrape per app. Unlimited (any number) via the internal API; capped at 500 with the RSS source. Default 1000.
reviewSource	enum	internal = unlimited via Apple's App Store media API (default); rss = public RSS feed, max 500 per app but includes app version and helpful votes.
sortBy	enum	mostrecent, mosthelpful, mostfavorable, or mostcritical.
country	string	ISO-3166-1 alpha-2 storefront code (e.g. us, gb, de). Overrides the country in the URL; leave empty to auto-detect.
requestDelayMs	integer	Milliseconds between paginated requests to avoid Apple rate limiting. Default 800.
useApifyProxy	boolean	Route through the Apify proxy. Defaults OFF for the internal source (Apple rate-limits proxy IPs there) and ON for RSS.
apifyProxyGroups	array	Apify proxy groups, e.g. BUYPROXIES94952 for residential.

Output

Each review is returned as a structured record with the following fields (verified from actual runs):

Field	Type	Description
appId	string	Numeric Apple App Store ID of the app
appTitle	string	App name on the store
url	string	Canonical App Store URL for the app
storefront	string	Two-letter country store code the review came from
reviewId	string	Apple's unique review identifier (use for de-duplication)
title	string	Review headline
text	string	Full review body
rating	integer	Star rating 1–5
reviewerName	string	Reviewer display name
reviewerUrl	string	Link to reviewer profile (when available)
date	string	ISO timestamp of the review
appVersion	string	App version reviewed (RSS source / when available)
helpfulVotes	integer	"Found this helpful" vote count (RSS source / when available)
scrapedAt	string	ISO timestamp when the record was collected

Example Input

{
  "appUrls": [
    "https://apps.apple.com/us/app/instagram/id389801252"
  ],
  "maxReviews": 1000,
  "reviewSource": "internal",
  "sortBy": "mostrecent",
  "requestDelayMs": 800
}

Example Output

[
  {
    "appId": "389801252",
    "appTitle": "Instagram App",
    "url": "https://apps.apple.com/us/app/instagram/id389801252",
    "storefront": "us",
    "reviewId": "13539617732",
    "title": "Great app but needs improvements",
    "text": "Love using it daily, but the latest update crashes...",
    "rating": 4,
    "reviewerName": "JJLin283",
    "reviewerUrl": null,
    "date": "2025-12-21T18:38:52Z",
    "appVersion": null,
    "helpfulVotes": null,
    "scrapedAt": "2026-08-27T21:19:45.226Z"
  }
]

Automate & Integrate App Review Monitoring

Every run writes a structured dataset you can download as JSON, CSV, or Excel or deliver via the Apify API, webhooks, n8n, Zapier, Make, or Slack. Sort by mostrecent to catch new feedback or mostcritical for a clean negative-review triage queue.

For continuous app review monitoring, schedule a nightly run. Re-running daily against your app (and competitors) lets you catch rating drops, new one-star reviews, and version-specific complaints before they hurt your store ranking. De-duplicate on the unique reviewId field to keep only new reviews between runs.

Related Actors

• Google Play Reviews Scraper — Android review data for cross-platform iOS + Android sentiment mapping
• Apple App Store Reviews API (topic anchor) — a comparable high-traffic actor in the same cluster
• App Store Reviews Scraper & AI insights — performant App Store review scraping for the topic cluster
• Product Hunt Scraper — adjacent tech-product launch and feedback data

FAQ

Why use this actor instead of Apple's official API?

Apple does not provide a public reviews API. App Store Connect exposes reviews only for apps you own, and it's a developer-account-only surface. The public RSS feed is capped at ~500 reviews per app and can silently return zero entries. This actor instead uses the internal App Store media API (via Apple's same-origin relay) to read the full review history with pagination and de-duplication, with the RSS feed as a fallback for app-version and helpful-vote metadata — no App Store Connect account, no API key, no login.

Can I get app reviews for an app I don't own (competitors)?

Yes. This actor reads public App Store reviews by app URL or ID, so you can monitor any app — including competitors — for sentiment, feature requests, and rating trends.

How do I do app review sentiment analysis?

Run the actor over your app (or a competitor set), export the reviews, and analyze the text, title, rating, date, and appVersion fields. Star ratings provide a labeled baseline, while the full text gives your LLM or NLP model the actual user voice. Sort by mostrecent to tie sentiment to specific releases or mosthelpful for the most impactful feedback.

What are the alternatives to this actor for App Store reviews?

Other App Store review scrapers on Apify include the Apple App Store Reviews API (johnvc), the skootle App Store Reviews Monitor, and the Agents Fast App Store Reviews Scraper. This actor's differentiator is unlimited-offset review history via the internal media API and the flexible internal/RSS source choice.

How do I monitor competitor app reviews on a schedule?

Save a task with the competitor app URL, set sortBy to mostrecent, and schedule a daily run. De-duplicate across runs by reviewId to get only new reviews, then track rating and sentiment movement week over week.