App Store Reviews Scraper

Extract Apple App Store reviews at scale using an app list and storefront filters. Collect structured review data including ratings, titles, review text, author info, app version, and timestamps. Built for product research, sentiment analysis, and review monitoring workflows.

Features

• Flexible app targeting — Use one apps string list with IDs or App Store URLs, including messy formats.
• Country-aware collection — Pull reviews from one country, custom country lists, or worldwide.
• Language fallback — Tries your language list first, then safe fallbacks per country.
• Pagination control — Limit crawl depth with maxPages and cap output with resultsWanted.
• Clean dataset output — Records are stored without null or empty fields.
• Review + app context — Includes both review-level and app-level metadata.

Use Cases

Product Feedback Analysis

Track what users like or dislike to guide roadmap decisions and prioritize fixes.

Competitor Monitoring

Collect reviews for competitor apps to benchmark quality, positioning, and user sentiment.

Version Quality Tracking

Measure rating and review patterns across app versions to detect regressions quickly.

Market Research

Compare user feedback by country to understand regional demand and adoption signals.

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Input Parameters

Parameter	Type	Required	Default	Description
apps	String	No	—	Comma-separated app identifiers or URLs.
countries	String	No	—	Comma-separated country list like us,gb,in.
languages	String	No	—	Comma-separated language list like en,es-MX,pt-BR.
sortBy	String	No	mostrecent	Review ordering (mostrecent or mosthelpful).
resultsWanted	Integer	No	20	Maximum reviews to collect.
maxPages	Integer	No	10	Maximum pages to check.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional proxy settings.

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Output Data

Each dataset item contains:

Field	Type	Description
appId	String	Apple app ID.
appName	String	App name.
appUrl	String	App page URL.
country	String	Storefront country code used in collection.
page	Integer	Source page number.
sortBy	String	Sorting mode used.
reviewId	String	Unique review identifier.
reviewTitle	String	Review title.
reviewText	String	Review body text.
rating	Integer	Star rating value.
reviewVersion	String	App version reviewed by user.
voteCount	Integer	Number of votes on review.
voteSum	Integer	Vote score sum.
authorName	String	Reviewer name.
authorProfileUrl	String	Reviewer profile URL.
reviewUrl	String	Review page URL.
reviewUpdatedAt	String	Review update timestamp.
appDeveloper	String	App developer/publisher name.
appGenre	String	Primary app genre.
appVersion	String	Current app version.
appAverageRating	Number	Overall app average rating.
appRatingCount	Integer	Overall app ratings count.
appCurrentVersionAverageRating	Number	Current version average rating.
appRatingCountCurrentVersion	Integer	Current version ratings count.
scrapedAt	String	UTC timestamp when row was stored.

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Usage Examples

URL-Based Collection

{
  "apps": "https://apps.apple.com/us/app/chatgpt/id6448311069#productRatings",
  "resultsWanted": 50,
  "maxPages": 5
}

Multi App Collection

{
  "apps": "id6448311069, apps.apple.com/us/app/claude-by-anthropic/id6473753684",
  "countries": "us",
  "resultsWanted": 100,
  "maxPages": 10
}

Worldwide Collection

{
  "apps": "apps.apple.com/us/app/chatgpt/id6448311069#productRatings",
  "countries": "worldwide",
  "languages": "en",
  "resultsWanted": 800,
  "maxPages": 10
}

Sample Output

{
  "appId": "6448311069",
  "appName": "ChatGPT",
  "appUrl": "https://apps.apple.com/us/app/chatgpt/id6448311069?uo=4",
  "country": "us",
  "page": 1,
  "sortBy": "mostrecent",
  "reviewId": "14002671847",
  "reviewTitle": "Sucks, it’s too dumb",
  "reviewText": "It gets nothing right and just says “Ahh! Good catch!” and still gives the wrong answer.",
  "rating": 1,
  "reviewVersion": "1.2026.104",
  "voteCount": 0,
  "voteSum": 0,
  "authorName": "I love Jesus!124",
  "authorProfileUrl": "https://itunes.apple.com/us/reviews/id1702566737",
  "reviewUrl": "https://itunes.apple.com/us/review?id=6448311069&type=Purple%20Software",
  "reviewUpdatedAt": "2026-04-27T07:55:16-07:00",
  "appDeveloper": "OpenAI",
  "appGenre": "Productivity",
  "appVersion": "1.2026.104",
  "appAverageRating": 4.9,
  "appRatingCount": 2418591,
  "appCurrentVersionAverageRating": 4.9,
  "appRatingCountCurrentVersion": 2418591,
  "scrapedAt": "2026-04-29T10:00:00.000Z"
}

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Tips for Best Results

Start with Working App Identifiers

• Prefer the apps list for deterministic and scalable runs.
• Messy values like id6448311069 and apps.apple.com/.../id... are accepted.

Keep Runs Fast During Testing

• Set resultsWanted to 20 or 30 for quick validation.
• Increase gradually for larger production datasets.

Configure Country Intentionally

• Use the storefront that matches your target audience.
• Compare multiple countries in separate runs for better insights.
• Use worldwide plus countries for large multi-country datasets.

Use Proxy on High Volume

• Keep proxy enabled for stability on repeated or large-volume runs.

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Integrations

Connect extracted data with:

• Google Sheets — Review analysis and reporting dashboards.
• Airtable — Centralized app feedback database.
• Make — Automated review processing workflows.
• Zapier — Trigger notifications and downstream actions.
• Webhooks — Deliver fresh records to internal systems.

Export Formats

• JSON — Application pipelines and APIs.
• CSV — Spreadsheet analysis.
• Excel — Business reporting.
• XML — Legacy integrations.

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Frequently Asked Questions

Can I scrape reviews from multiple countries?

Yes. Use the countries input to run across one or many storefronts.

Why might some runs return fewer reviews than requested?

Available review volume differs by app, country, and review ordering.

Can I control the amount of data collected?

Yes. Use resultsWanted and maxPages together.

Does the actor return empty or null fields?

No. Output records are cleaned before being stored.

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Support

For issues or feature requests, use the actor issue tracker in Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Apify Scheduling

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Legal Notice

This actor is intended for lawful data collection and analysis. You are responsible for complying with Apple terms, local regulations, and your own data governance requirements.