App Store Reviews Scraper | All Countries, Monitor | $0.06 / 1K
Pricing
from $0.04 / 1,000 review scrapeds
App Store Reviews Scraper | All Countries, Monitor | $0.06 / 1K
App Store reviews for any iOS app in all 177 countries: stars, title, text, author, app version, date, helpful votes. Paste URLs, ids or app names. Only-new-reviews monitoring for schedules, star, date and keyword filters, optional rating summary. No login. $0.06 per 1,000 reviews.
Pricing
from $0.04 / 1,000 review scrapeds
Rating
0.0
(0)
Developer
Hriday Rungta
Maintained by CommunityActor stats
0
Bookmarked
2
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1
Monthly active users
21 hours ago
Last modified
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Security
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Get App Store reviews (iOS app reviews) for any iPhone or iPad app in any of Apple's 177 country storefronts: star rating, review title and text, author, app version, date and helpful votes. Paste an App Store link, an app id or just the app's name, pick the countries and run. It works as an App Store reviews API and app reviews API alternative for app review monitoring, product feedback analysis and competitor research, with no login and no API key.
Try it in one click: the prefilled input reads the 50 newest Duolingo reviews in the US and UK in about 3 seconds.
- Every country, not just the US. Each App Store country has its own reviews. Pick countries one by one, or use a preset: Top 10 markets, English-speaking, Europe, Latin America, Asia, Middle East, or all 177 storefronts.
- Only new reviews (monitoring). Turn on Only new reviews since the last run, schedule the Actor daily or hourly, and every run returns just the reviews you have not received yet. You never pay twice for the same review.
- Filters that save money. Star range (for example 1-2 stars for complaints), "newer than" date (stops paging once reviews get older), and keywords in the review text (crash, refund, login...).
- Apps by URL, id, bundle id or name. Names are matched with Apple's own App Store search, and nonsense names are rejected instead of silently matching a random app.
- Optional app summary row per app and country: average rating, total rating count, current version and release date, price, genre, developer.
- Complete pages. Apple's CDN sometimes serves an empty copy of a review page that does have reviews (about 5-10% of pages in our tests). The Actor always reads page 1 fresh and re-checks every empty page, so you do not silently lose reviews.
- Platform extras: API access, scheduling, webhooks, integrations (Make, n8n, Zapier, Google Sheets), automatic fallback to Apify Proxy when Apple slows requests down, and exports to JSON, CSV, Excel or XML.
What data can you extract from the App Store?
| Field | Example | Notes |
|---|---|---|
rating | 5 | 1-5 stars |
title, text | "Learning the lazy way" | Full review text as written |
authorName, authorUrl | Vaqmao | Reviewer's public nickname and Apple reviews page |
appVersion | 7.146.1 | The app version the review was written for |
date, dateLocal | 2026-11-01T04:08:16.000Z | UTC ISO date plus Apple's original timestamp |
helpfulVotes, totalVotes | 294 / 430 | "Was this review helpful?" votes |
country | gb | App Store storefront |
appId, appName | 570060128, Duolingo | Same app id in every country |
reviewId | 14736243673 | Stable Apple id, used for de-duplication and monitoring |
feedPage, feedPosition | 1, 1 | Where the review sits in Apple's feed |
reviewsPageUrl, appUrl | apps.apple.com/... | Links to the app's reviews page and App Store page |
App summary rows (type: "app") add averageRating, ratingCount, averageRatingCurrentVersion, ratingCountCurrentVersion, version, currentVersionReleaseDate, releaseNotes, price, currency, primaryGenre, genres, developer, bundleId, contentRating, iconUrl and reviewsScraped (how many reviews this run collected for that app and country).
How to use the App Store Reviews Scraper
- Open the Actor and paste one or more apps into Apps: an App Store URL, an id like
284882215, a bundle id likecom.spotify.client, or a name likeduolingo. - Add Countries (two-letter codes such as
us,gb,de,jp) or pick a Country preset. - Choose Most recent or Most helpful, and set how many reviews you want per app per country (up to 500).
- Optional: filter by stars, date or keywords, and add app summary rows.
- For review monitoring, switch on Only new reviews since the last run and create a schedule.
- Click Start, then download the dataset or read it through the API.
Input
| Field | What it does | Default |
|---|---|---|
apps | App Store URLs, app ids, bundle ids or app names, one per line | required |
countries | Storefront codes, e.g. us, gb, de | us |
countryPreset | top10, english, europe, latam, asia, mena or all (177) | none |
sort | mostrecent or mosthelpful | mostrecent |
maxReviewsPerCountry | Reviews per app per country, 1-500 | 500 |
maxReviews | Cap for the whole run | 100,000 |
minRating, maxRating | Star range | 1-5 |
reviewsNewerThan | 2026-10-01, an ISO date, or 7 days, 24 hours, 3 months | off |
keywords | Keep reviews whose title or text contains any of these | off |
includeAppDetails | One app summary row per app per country | off |
onlyNewReviews | Monitoring mode: only reviews not delivered before | off |
monitorName | Separate memory per schedule | default |
Example input (complaints about two apps in the top 10 markets, last 30 days):
{"apps": ["https://apps.apple.com/us/app/duolingo-learn-languages/id570060128", "spotify"],"countryPreset": "top10","minRating": 1,"maxRating": 2,"reviewsNewerThan": "30 days"}
Output example
A real review row from a test run (Duolingo, UK storefront):
{"type": "review","reviewId": "14736243673","appId": "570060128","appName": "Duolingo: Learn Languages","country": "gb","rating": 5,"title": "Learning the lazy way","text": "Thanks to Falstaff, I no longer need to do lessons to properly gain a streak, when I can just cheat by ‘practicing’, and then not opening the app for the entire day.\n\nMwahahaha! 😆","authorName": "Vaqmao","authorUrl": "https://itunes.apple.com/gb/reviews/id1898825047","appVersion": "7.146.1","date": "2026-11-01T04:08:16.000Z","dateLocal": "2026-10-31T21:08:16-07:00","helpfulVotes": 0,"totalVotes": 0,"sortedBy": "mostrecent","feedPage": 1,"feedPosition": 1,"reviewsPageUrl": "https://apps.apple.com/gb/app/id570060128?see-all=reviews","appUrl": "https://apps.apple.com/gb/app/id570060128","input": "https://apps.apple.com/us/app/duolingo-learn-languages/id570060128","scrapedAt": "2026-11-02T15:08:40.416Z"}
A real app summary row (ChatGPT, UK storefront):
{"type": "app","appId": "6448311069","appName": "ChatGPT","country": "gb","developer": "OpenAI OpCo, LLC","bundleId": "com.openai.chat","averageRating": 4.801,"ratingCount": 1463146,"version": "1.2026.293","currentVersionReleaseDate": "2026-10-27T16:49:11Z","price": 0,"currency": "GBP","primaryGenre": "Productivity","reviewsScraped": 20,"newestReviewDate": "2026-11-01T06:41:02.000Z","appUrl": "https://apps.apple.com/gb/app/chatgpt/id6448311069"}
Rows for inputs that could not be used (type: "status": not-found, invalid-input, no-reviews, error) explain what happened and are never charged. A RUN_SUMMARY record in the run's key-value store lists the review count per app and country.
How much does it cost to scrape App Store reviews?
Pay per result. Prices per Apify plan:
| Event | Free | Starter (Bronze) | Scale (Silver) | Business (Gold) and up |
|---|---|---|---|---|
| Review | $0.06 / 1,000 | $0.054 / 1,000 | $0.048 / 1,000 | $0.042 / 1,000 |
| App summary row (optional) | $0.50 / 1,000 | $0.45 / 1,000 | $0.40 / 1,000 | $0.35 / 1,000 |
| Run start | $0.0005 | $0.0005 | $0.0005 | $0.0005 |
Worked examples on the Free plan prices:
- All ~500 recent reviews of one app in one country: $0.0005 + 500 x $0.00006 = about $0.03.
- One app in the top 10 markets (5,000 reviews): about $0.30.
- Daily monitoring of one app in 4 countries with about 20 new reviews a day: about $0.0017 a day, roughly $0.05 a month.
- Apify's free $5 monthly credit covers about 80,000 reviews.
Duplicates, filtered-out reviews, reviews you already received in monitoring mode, and status rows are free. You can also set a maximum charge per run in the run options; the Actor stops exactly at that limit.
Integrations and scheduling
- Apify Schedules: run it hourly or daily with Only new reviews on to get a clean feed of new reviews. Recurring runs are what this Actor is built for.
- Make, n8n, Zapier: send new 1-star reviews to Slack, email, a support desk, Notion or a spreadsheet.
- Google Sheets: export the dataset or connect it through the Google Sheets integration.
- Webhooks: call your endpoint when a run finishes and fetch the new reviews.
- API: start runs and read results with the Apify API or the JavaScript and Python clients.
- MCP for AI agents: connect the Actor to Claude, ChatGPT or Cursor through Apify's MCP server so an agent can pull and summarise reviews on demand.
FAQ
Why not use Apple's official API?
Apple's App Store Connect API only returns reviews of apps you own, and only after signing in with your developer account. It cannot read competitors' reviews. This Actor reads Apple's public customer-reviews feed, which works for any app and needs no account.
How many reviews can I get per app?
Apple's public feed shows up to 500 reviews per app per country (10 pages of 50), either the most recent or the most helpful. Older reviews are not available through it. To build a long history, run the Actor on a schedule with Only new reviews: each run adds the new reviews, so your archive keeps growing.
Are developer replies included?
No. Apple's public reviews feed does not contain developer responses (we checked every field the feed returns), so the Actor does not invent them.
How fresh is the data?
As fresh as Apple's feed, which in our tests lagged the App Store by up to about a day and a half. A daily or hourly schedule catches every review that reaches the feed.
Can I get reviews in all languages?
Yes. Reviews are returned in whatever language the reviewer wrote them. Pick the countries whose customers you care about, or use the All storefronts preset.
What are the alternatives?
Other App Store review scrapers on Apify charge about $0.10 per 1,000 reviews or more, and most read one country per run. Paid review-management SaaS tools cost a monthly subscription. This Actor is cheaper per review on every Apify plan, reads many countries in one run, and has built-in only-new monitoring.
Can ChatGPT or Perplexity get App Store reviews for me?
Chat assistants cannot download hundreds of reviews per country. Run this Actor (or call it from an AI agent through Apify's MCP server), then give the dataset to the assistant to summarise complaints, feature requests or sentiment.
Is it legal to scrape App Store reviews?
The Actor only reads public data that Apple publishes without a login, through Apple's own public feeds. Reviews contain reviewers' public nicknames: if you store or process them, follow the privacy rules that apply to you (for example GDPR) and Apple's terms. This is not legal advice.
Why did my run return a status row instead of reviews?
not-found means no App Store app matched the name (try the App Store URL instead), invalid-input means the line was not a usable link, id or name, and no-reviews means the app has no reviews matching your filters in the chosen countries (often because it is not sold there).
Can it scrape Google Play reviews too?
Not this Actor. See the related Actors below for Android.
Limits
- At most 500 reviews per app per country (Apple's feed limit), newest or most helpful only.
- No developer replies and no review edit history (Apple's feed has neither).
- Apple's feed has no per-review link, so
reviewsPageUrlpoints to the app's reviews page in that country. - App name search uses the first three countries of your run; use an App Store URL or id for apps that are only sold elsewhere.
- Built and tested for iPhone and iPad apps; Mac App Store apps are not tested.
Related Actors
- Apple App Store Scraper: app details, prices per country and Top Free / Top Paid charts.
- Google Play Scraper: Android apps from Google Play (our sibling Actor; the link works once it is published).
- Google Play Reviews Scraper by theagents: Android app reviews (third-party).
- Reddit Scraper: what users say about your app on Reddit.
- Google Trends Scraper: search interest for your app or category over time.