Apple App Store Reviews Scraper

Turn public App Store reviews into structured feedback you can analyze. Enter an Apple App Store URL or numeric app ID to collect written reviews, star ratings, dates, and public reviewer names. Scrape one app or compare up to 100 apps in one run. No browser, Apple account, or API key is required.

Use the results to understand customer complaints, spot feature requests, compare competing iOS apps, and monitor feedback after a release. Every delivered review is one row in the Dataset, ready for spreadsheets, dashboards, and automation tools.

What does Apple App Store Reviews Scraper do?

The Actor collects public written reviews from the App Store storefront you choose. Each review can include:

• Star rating, review title and text, and review date
• Public reviewer name and whether Apple marks the review as edited
• App ID, App Store URL, storefront country, and scrape time

Filter the inspected reviews by an exact star rating or an inclusive date. Results are sorted newest first within the inspected sample. Apple supplies the source reviews in its own relevance order, so the Actor cannot guarantee the newest reviews across an app's entire history. How sampling works explains this in detail.

What can you use it for?

• Improve your app: Find recurring bugs, confusing flows, and requested features in real customer feedback.
• Research competitors: Compare what users praise and complain about across similar iOS apps.
• Watch a release: Filter reviews by date to inspect feedback found after an update or launch.
• Prioritize support: Focus on one-star or two-star reviews to identify common problems.
• Find an app idea: Look for unmet needs in competitors' reviews before building an MVP.
• Support AI-assisted development: Give a coding assistant review excerpts to draft user stories, feature briefs, or bug-fix plans grounded in user feedback.
• Automate feedback analysis: Send review rows to Make, n8n, Zapier, a spreadsheet, or your own pipeline.

How to use

1. Enter one App Store URL or numeric ID in App Store URL or app ID, or enter up to 100 under Apps.
2. Choose the Store country and Maximum reviews per app. The defaults are us and 100.
3. Optionally open Advanced options to filter by star rating or date, or inspect a wider review sample.
4. Click Run. Open Dataset for review rows and Output for the run summary and per-app counts.

For example, 866450515 and https://apps.apple.com/us/app/forest-focus-for-productivity/id866450515 identify the same app. Use either app or apps in JSON input, not both. Duplicate IDs or URLs for the same app are processed once.

Input examples

Collect reviews for one app

{
  "app": "866450515",
  "country": "us",
  "maxReviews": 100
}

This requests up to 100 written reviews for Forest from the US storefront. The Actor automatically inspects up to 200 source reviews, then saves the 100 newest found in that sample. It may return fewer if fewer reviews are available.

Compare several apps

{
  "apps": [
    "https://apps.apple.com/us/app/daylio-journal-mood-tracker/id1194023242",
    "1445651730"
  ],
  "country": "us",
  "maxReviews": 50
}

maxReviews applies per app. Two apps with maxReviews: 50 can produce up to 100 Dataset rows. Every row has an appId, so you can group or compare the results.

Investigate recent one-star reviews

{
  "app": "866450515",
  "country": "us",
  "maxReviews": 100,
  "starRating": 1,
  "sinceDate": "2026-10-01",
  "scanLimit": 500
}

This inspects up to 500 source reviews and saves up to 100 one-star reviews dated October 1, 2026 or later. The date is inclusive from midnight UTC. Apple does not provide a reliable global newest-first feed, so this filter applies only to the inspected sample and may return fewer reviews than requested.

Input fields

Field	Type	Default	Description
app	string	None	One numeric App Store ID or apps.apple.com URL. Required when apps is omitted.
apps	array of strings	None	1–100 IDs or App Store URLs. Required when app is omitted.
country	string	"us"	Two-letter storefront code, such as "us", "gb", "au", or "sg". It does not translate review text or verify reviewer location.
maxReviews	integer	100	Maximum saved reviews per app, from 1 to 500.
scanLimit	integer	Automatic	Optional advanced setting: inspect from maxReviews to 5,000 source reviews per app. When omitted, the limit is the greater of 200 and maxReviews.
starRating	integer	None	Optional advanced filter for exactly 1–5 stars.
sinceDate	string	None	Optional advanced inclusive UTC cutoff in YYYY-MM-DD format, applied within the inspected sample.

Which inputs should you use?

Goal	Input	Result
Explore feedback for an app	app, maxReviews	Reviews sorted by date within the inspected sample
Compare competing apps	apps: [...]	One Dataset with an appId on each review
Investigate low ratings	starRating: 1 or 2	Only reviews with that exact rating in the sample
Check feedback since a release	sinceDate: "YYYY-MM-DD"	Matching sampled reviews on or after that UTC date
Broaden coverage	Increase scanLimit	More source reviews inspected; the run may take longer

These are input combinations, not separate modes. Each run is independent; sinceDate does not remember previous runs.

How review sampling works

Apple returns reviews in a relevance-based source order. The Actor inspects a bounded number of them, removes duplicates, applies your filters, sorts the matching sample by date, and saves up to maxReviews per app. The default inspection limit is 200 reviews per app, or maxReviews if it is higher.

For example, maxReviews: 50 with no scanLimit inspects up to 200 source reviews and saves up to 50 of the newest reviews among those 200. A larger scanLimit can find additional or newer matching reviews, but it cannot guarantee complete coverage of an app's review history. When Apple has fewer reviews available, the Actor saves only what it finds.

The effective scanLimit, scannedCount, matchedCount, and successCount appear in OUTPUT. A date filter scans the full selected sample; the Actor does not stop at an old review because newer reviews may appear later in Apple's relevance order. There is no sortBy input because Apple does not provide a reliable global newest or most-helpful ordering through this source.

Output

Every saved review is one item in the default Dataset. The run summary is stored separately as OUTPUT in the default Key-Value Store; it does not contain the review rows.

Example Dataset item (illustrative values):

{
  "reviewId": "14612345678",
  "appId": "866450515",
  "appUrl": "https://apps.apple.com/us/app/id866450515",
  "rating": 4,
  "title": "Helps me focus",
  "text": "The timer keeps me on track. I would like more reminder options.",
  "date": "2026-10-12T14:30:00.000Z",
  "reviewerName": "App user",
  "isEdited": false,
  "country": "us",
  "source": "apple-web-reviews",
  "scrapedAt": "2026-10-27T07:00:00.000Z"
}

Dataset field	Description
reviewId	Apple's review ID, useful for deduplication across runs
appId, appUrl	Numeric app ID and link to its App Store page
rating, title, text	Star rating and written feedback; title or text can be null when unavailable
date	Review date returned by Apple, as a UTC timestamp
reviewerName, isEdited	Public reviewer name and edited flag, when available
country	Storefront requested in the input, not verified reviewer location
source, scrapedAt	Data source label and time the row was collected

Example OUTPUT summary (shortened):

{
  "summary": {
    "appIds": ["866450515"],
    "country": "us",
    "maxReviews": 100,
    "scanLimit": 200,
    "order": "newest_within_scanned_sample",
    "successCount": 100,
    "chargedCount": 100,
    "scannedCount": 200,
    "matchedCount": 200,
    "failedCount": 0,
    "stopReason": "max_reviews",
    "apps": [
      {
        "appId": "866450515",
        "status": "succeeded",
        "successCount": 100,
        "scannedCount": 200,
        "matchedCount": 200,
        "stopReason": "max_reviews"
      }
    ]
  }
}

successCount is the number of review rows saved. chargedCount is the number of review-scraped events charged for those rows. failedCount counts apps, not reviews. If one app in a batch fails, other apps can still return results; check summary.apps for each app's status and error.

Stop reason	Meaning
max_reviews	The requested row limit was reached within the sample; the app may have more reviews.
scan_limit	The inspection limit was reached.
source_exhausted	Apple returned no further review page.
no_reviews	No written reviews were returned.
no_matching_reviews	Reviews were found, but none matched the selected filters.
completed	All apps in a multi-app run finished.
partial_failure	At least one app failed; successful rows from other apps were kept.
spending_limit	The run reached its event-charge limit; later apps may be skipped.

Pricing

Pay $0.0001 per review saved to the Dataset ($0.10 per 1,000 reviews). Review events are charged only for delivered rows. If an app fails or matches no reviews, it has no review-result charge; if a run ends after saving some rows, those delivered rows are still charged.

Saved reviews	Review charges
0	$0
100	$0.01
1,000	$0.10
10,000	$1.00

Apify also charges an Actor Start event at $0.00005 and platform usage. Start and usage costs still apply when no reviews are saved. At more than 1 GB of allocated memory, Apify may charge more than one Start event. The table shows review charges only; see the Pricing tab for the complete current price.

Notes

• Apple controls which public written reviews are available for each storefront. A star-rating total can be much larger than the number of written reviews the Actor can retrieve.
• country selects a storefront; it does not prove where the reviewer lives. Review text is not translated.
• The saved rows are sorted newest first within the inspected sample. They are not guaranteed to be the newest reviews across the entire App Store.
• Apple's review source does not provide developer replies, helpful-vote counts, or the reviewed app version, so these fields are not invented in the Dataset.
• Apps in a batch are processed sequentially. If one app is unavailable, other apps can still succeed; inspect OUTPUT.summary.apps for errors.
• For a large batch or a high scanLimit, choose a run timeout long enough to inspect all requested apps and pages.

More Actors You Might Like

Built by the same Apizy team and backed by our transparent pricing philosophy: you can see which review rows were delivered, and failed or empty results have no review-result charge. Actor Start and platform usage are shown separately.

Actor	What it helps you collect
Google Play Reviews Scraper	Android app reviews, ratings, helpful votes, and developer replies
Google Play Store Scraper	Android app search results, charts, and app details
YouTube Channel Scraper V2	Channel stats, engagement, email, and social links
YouTube Comment Scraper	Comments, authors, likes, and replies from YouTube videos

Get in Touch

Have a question or need a custom scraping workflow? Email apizy.studio@gmail.com.