App Store Reviews Scraper: iOS Reviews and App Details

Download customer reviews and app details for any iPhone and iPad app, in any App Store country, from Apple's public iTunes feeds: the iTunes Search and Lookup API and the App Store customer-reviews RSS feed. Get star rating, title, text, app version and date for every review, plus price, rating count, version and release notes for each app. $0.20 per 1,000 records.

What can this App Store reviews scraper do?

• Scrape reviews for many apps, by App Store ID (324684580) or URL.
• Find apps by keyword and include the top results for each term.
• Cover many countries in one run (us, gb, de, jp...). Reviews are country-specific.
• Sort by most recent or most helpful, and filter by stars (for example 1 and 2 for complaints).
• Add an app details record per app and country, with optional full description.
• Combine with Android data: field names match our Google Play Reviews Scraper.

What data do you get?

Review records (recordType: "review"): appId, appName, country, reviewId, title, text, rating, appVersion, authorName, authorUrl, date, voteSum, voteCount, sort.

App records (recordType: "app"): appName, bundleId, developer, seller, price, currency, averageRating, ratingCount, currentVersionRating, currentVersionRatingCount, version, currentVersionReleaseDate, releaseDate, releaseNotes, description, primaryGenre, genres, contentRating, sizeBytes, minimumOsVersion, languages, appUrl, developerUrl, sellerUrl, iconUrl.

Who uses it?

• Product and app teams reading what users say after each release.
• Competitive and market researchers comparing ratings, prices and release cadence across apps and countries.
• Agencies and ASO consultants building review reports.
• Data and AI teams feeding review text into sentiment, topic analysis or LLM summaries.

How to use it

1. Click Try for free (or Start).
2. Add Apps (IDs or URLs) and/or Search terms.
3. Choose Countries, Max reviews per app and country (up to 500) and Sort.
4. Run it and export to Excel, CSV or JSON.
5. Schedule it weekly to follow ratings by app version.

Input example

{
  "apps": [
    "324684580",
    "570060128"
  ],
  "countries": [
    "us",
    "gb"
  ],
  "maxReviewsPerApp": 100,
  "sort": "mostRecent",
  "ratings": [
    "1",
    "2"
  ],
  "includeAppDetails": true
}

Output example

{
  "recordType": "review",
  "appId": "324684580",
  "appName": "Spotify: Music and Podcasts",
  "country": "us",
  "reviewId": "14716921760",
  "title": "Prince",
  "text": "Hearing",
  "rating": 5,
  "appVersion": "9.1.94",
  "authorName": "Sam T.",
  "authorUrl": "https://itunes.apple.com/us/reviews/id...",
  "date": "2026-10-27T02:09:05-07:00",
  "voteSum": 0,
  "voteCount": 0,
  "sort": "mostRecent"
}

How much does it cost?

$0.20 per 1,000 records ($0.0002 per review or app record), plus a $0.00005 start fee per run.

You download	You pay
500 reviews of one app	$0.10
4 apps x 3 countries x 500 reviews (6,000)	$1.20
50,000 reviews	$10.00

You are only charged for records actually returned.

Volume discounts on higher Apify plans. The prices above are for the Apify Free plan. On paid plans the per-result price drops automatically: about 15% lower on Bronze, 25% lower on Silver and 38% lower on Gold and above.

Use it via API, Make, Zapier, n8n or an AI agent

Apify API. Start a run and get the results back in one HTTP request (replace YOUR_API_TOKEN with the token from Apify Console > Settings > Integrations):

curl -X POST "https://api.apify.com/v2/acts/plotpointtech~apple-app-store-reviews/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"apps": ["324684580", "570060128"], "countries": ["us", "gb"], "maxReviewsPerApp": 100, "sort": "mostRecent", "ratings": ["1", "2"], "includeAppDetails": true}'

For longer jobs, start the run asynchronously and read the dataset when it finishes. Official apify-client libraries exist for Python and JavaScript; the API tab on this page has ready-made code.

No-code automation. Connect the tool to Make, Zapier, n8n, Google Sheets, Slack, Airtable or any webhook with Apify integrations, and use Schedules in Apify Console to run it hourly, daily or weekly.

AI agents (MCP). Give Claude, ChatGPT, Cursor, VS Code or any MCP-compatible agent direct access to this tool through the hosted Apify MCP server. Add this server URL to your client:

https://mcp.apify.com?tools=plotpointtech/apple-app-store-reviews

The agent can then call the tool with the same input fields shown above and read the results.

FAQ

Is it legal to scrape App Store reviews? The tool uses Apple's public iTunes Search/Lookup API and the public customer-reviews RSS feed, without logging in. Reviews include public nicknames: handle them in line with privacy laws such as GDPR, and follow Apple's terms when you publish review content.

How many reviews can I get? Apple's public feed gives at most the latest 500 reviews per app, country and sort order (10 pages of 50). Older reviews are not available from this feed. Use several countries and both sort orders for more coverage.

Why did a run return fewer reviews than expected? Apple's feed is intermittent and sometimes answers with empty pages. Each page is retried up to 6 times; if pages are still missing, the log says which, and a later run usually fills them.

Are star-only ratings included? No. Apple's feed only includes ratings that come with written reviews. Totals are in the app record's ratingCount.

Does it cover Google Play? Use our Google Play Reviews Scraper; the fields match.

Related tools from Plot Point Technologies

• Google Play Reviews Scraper - $0.08 per 1,000 Reviews: Android app reviews with rating, version and developer reply.
• Google Trends Scraper - Interest, Regions & Queries, $1/1K: interest over time, by region and rising queries in bulk.
• News Scraper - Worldwide News Search by Keyword, 65+ Languages: news articles worldwide by keyword, country and language.
• App Store & Google Play Scraper - App Details, Search & Charts: App Store and Google Play app details, search and top charts.

Plot Point Technologies is not affiliated with Apple Inc. App Store is a trademark of Apple Inc.

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If this tool saved you time, we would be grateful for a short review on this page; it helps other people find it. If something did not work as expected, please open an issue on the Issues tab and we will look into it quickly.