App Store Review Monitor — New iOS Reviews & Ratings Feed

Get new App Store reviews since your last run for any iOS app — yours or a competitor's. Rating, title, text, author and app version, straight from Apple's official RSS review feeds. Schedule it daily and the bad ones reach you the same day.

What does this Actor do?

You give it App Store IDs (or just paste App Store URLs) and the countries you care about. It reads Apple's official public review feed for each app-and-country pair and emits one row per review.

The part that matters is the watermark. Apple's feed always shows the most recent reviews, so a naive run re-sends the same reviews every time. This Actor remembers the highest review ID it has already emitted, separately for every app-and-country pair, and stops walking pages the moment it reaches familiar ground. Watching one app in five countries gives you five independent cursors, so a busy market never buries a quiet one.

It also handles the truncation case honestly: if more new reviews arrive than your maxResults, the watermark advances only as far as the last review actually emitted — the backlog is picked up on the next run rather than skipped.

It does not support Google Play, because Google does not publish an official public review feed and this Actor only reads official sources.

Who is it for?

• Indie developers and small app teams who need to know about a one-star review today, not at the end of the month.
• Product managers tracking sentiment across releases, using the appVersion on each review.
• Support teams who want new complaints routed into their queue automatically.
• Competitive analysts watching what users say about rival apps.
• AI agent builders who want a review-feed tool with a stable output schema.

Use cases

• Get notified when someone leaves a bad review on my app.
• Track new App Store reviews automatically and export them to a spreadsheet.
• Monitor a competitor's app ratings and complaints.
• Alert on one- and two-star reviews only, and post them to Slack.
• Watch how reviews change after a release by grouping on appVersion.
• Download App Store reviews as CSV.

What you get

One row per review. Any value Apple does not publish is null — the field is always present.

Field	Type	Description
appId	string	Numeric App Store ID of the app
country	string	Two-letter country code of the storefront this review came from
reviewId	string	Apple's review ID — unique, and what the watermark tracks
rating	integer	Star rating, 1–5
title	string	Review title
text	string	Review body
author	string	Reviewer's display nickname as Apple publishes it
appVersion	string	App version the review was left against
reviewDate	string	ISO 8601 timestamp Apple records for the review
newSinceLastRun	boolean	Whether this review is newer than the saved watermark
retrievedAt	string	ISO 8601 timestamp of when this row was fetched

Sample output record

{
  "appId": "284882215",
  "country": "us",
  "reviewId": "14453582535",
  "rating": 1,
  "title": "Help",
  "text": "I'm really starting to hate this app since the last update…",
  "author": "Kkgas",
  "appVersion": "575.0.0",
  "reviewDate": "2026-08-21T05:42:40.000Z",
  "newSinceLastRun": true,
  "retrievedAt": "2026-08-21T05:45:12.882Z"
}

How to use it

Watch only the bad reviews

{
  "appIds": ["284882215"],
  "countries": ["us"],
  "minRating": 1,
  "maxRating": 2,
  "maxResults": 20
}

Several apps, several countries

Every combination of app and country gets its own independent watermark.

{
  "appIds": ["284882215", "https://apps.apple.com/us/app/id310633997"],
  "countries": ["us", "gb", "de"],
  "maxResults": 100
}

appIds accepts numeric App Store IDs or full App Store URLs — paste whichever you have.

Input parameters

Input	Type	Description
appIds	array	Numeric App Store IDs or full App Store URLs
countries	array	Two-letter ISO country codes for the Apple RSS storefronts. Default: ["us"]
minRating	integer	Only emit reviews at or above this rating (1–5)
maxRating	integer	Only emit reviews at or below this rating (1–5)
maxResults	integer	Maximum matching reviews per app and country (1–200). Default: 20

How monitoring works (first run and scheduling)

The first run establishes a baseline and returns reviews from the current Apple RSS window. To get only-new records on every subsequent run, schedule this Actor as a saved Task so runs share the same storage — the watermark lives in the task's key-value store. A fresh unsaved run starts a fresh baseline.

The watermark is saved only when every app-and-country pair succeeded, so a transient failure on one storefront does not advance the cursor and lose reviews.

Honest limitations

• Apple's RSS feed is capped at roughly the latest 500 reviews, across up to 10 pages per storefront. Reviews older than that window are not available from this source, so this is a monitoring tool rather than a historical review exporter.
• No Google Play. Google publishes no official public review feed, and this Actor only reads official sources.
• No aggregate rating or rating count. You get the individual reviews Apple publishes in the feed; the app's overall star average and total rating count are not in that feed and are not returned. "Alert when my rating drops" has to be computed from the reviews you collect.
• No developer responses. Apple's public review feed does not include them.
• Rating filters apply after fetching, so a run with a narrow minRating/maxRating may read several pages to fill maxResults.
• Apple's storefronts are per-country. A review left in the UK store appears only under gb.

Reliability

Per-app diagnostics are written to the RUN_SUMMARY key-value record — never into your dataset. Failures carry structured reason codes and prevent the watermark from advancing.

Every record carries retrievedAt and Apple's own reviewId, so you can check any row against the source yourself.

Maintained against Apple's public feed. If the feed format changes, report it through the Issues tab and it gets fixed.

Integrations

Connect this Actor to Make, Zapier, n8n, Slack, Google Sheets, Airtable or any HTTP endpoint through Apify integrations. A daily Task can post every new one-star review into a support channel, or fire a webhook so a downstream triage job starts the moment a review lands. Datasets export as JSON, CSV, Excel, XML, RSS or HTML.

API usage

curl -X POST "https://api.apify.com/v2/acts/oneshotventure~app-review-watch/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"appIds": ["284882215"], "countries": ["us"], "minRating": 1, "maxRating": 2, "maxResults": 20}'

Python, JavaScript, PHP and CLI clients are documented under Apify API clients.

Use with AI agents (MCP)

This Actor is callable from any MCP-compatible client — Claude, Cursor, VS Code or your own agent — through the Apify MCP server. The input schema is fully described and every record uses one stable, flat JSON shape, so an agent can call it and read the result without a parsing step. Because it reads Apple's official public feed rather than a rendered page, the answer an agent gets is the same one the source publishes — which makes it a natural input for a summarize-and-triage workflow.

Frequently asked questions

How do I get alerts for new App Store reviews?

Set your appIds, save the Actor as a Task, schedule it daily, and connect the Task to Slack, email or a webhook through Apify integrations. Each run returns only the reviews that arrived since the last one.

Can I monitor a competitor's app?

Yes. Any public App Store ID works — you do not need to own the app. Paste the App Store URL if you do not know the numeric ID.

Does this work for Google Play?

No. Google does not publish an official public review feed, and this Actor only reads official sources. It is iOS App Store only.

How far back can I get reviews?

Roughly the latest 500 per storefront, which is the limit of Apple's RSS feed. This is a monitoring tool, not a full historical export.

Can I get only one- and two-star reviews?

Yes — set minRating: 1 and maxRating: 2. The filter is applied to each review before it is emitted.

Does it return the app's overall star rating?

No. Apple's review feed carries individual reviews, not the aggregate score, so the overall rating and total rating count are not returned.

Why did my first run return a batch of older reviews?

The first run has no watermark, so it establishes a baseline from the current feed window. Save it as a Task and schedule it; from the second run on you get only what is new.

Can I watch several countries at once?

Yes, and each app-and-country pair keeps its own watermark, so a high-volume storefront never suppresses a quiet one.

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Disclaimer

Unofficial independent tool. Not affiliated with or endorsed by Apple Inc. Data is retrieved from Apple's public RSS feeds.