App Store & Google Play Reviews Scraper

$0.20 per 1,000 reviews. Pay only for reviews delivered: apps not found, errors and empty results are free.

Scrape app reviews from the Apple App Store (iPhone, iPad, Mac) and Google Play (Android) in one actor. Paste app IDs or store URLs and get every review as clean JSON: star rating, title, text, app version, date, author, helpful votes and the developer's reply, plus the app's name and average rating. Works in 150+ countries, keeps only new reviews on scheduled runs, and gives every review in Markdown so you can pass it straight to an LLM.

• Both stores in one run, with the same output fields
• No API key, no login, no browser, no proxy needed
• Filters: star ratings (e.g. only 1★ and 2★), date ("since"), sort by newest or most relevant
• onlyNew mode for daily and weekly monitoring
• Export to JSON, CSV, Excel, or use it from the API, Make, Zapier, n8n, Google Sheets or MCP clients (Claude, Cursor, ChatGPT)

How much does it cost?

You pay $0.0002 per review ($0.20 per 1,000), with no monthly rental.

You scrape	You pay
100 reviews of 1 app	$0.02
1,000 reviews (e.g. 10 apps × 100)	$0.20
10,000 reviews	$2.00
500 new reviews a day for a month (scheduled onlyNew run)	about $3.00

You are not charged for apps that don't exist, store errors, duplicates, reviews outside your filters, or reviews already delivered in onlyNew mode. When your maximum cost per run is reached, the actor stops cleanly and doesn't deliver anything past it.

Input

Field	What it does
apps	App Store IDs/URLs and Google Play package names/URLs, mixed freely
countries	2-letter codes (us, gb, fr, de, jp…). Each app is scraped in each country
maxReviewsPerApp	Maximum reviews per app and country (default 100)
sort	newest (default) or mostRelevant
ratings	Keep only these ratings, e.g. [1, 2]
sinceDate	Only reviews posted on or after this date (YYYY-MM-DD)
language	Google Play review language (default: main language of the country)
onlyNew	Skip reviews delivered by previous runs
store	appStore to treat com.company.app IDs as iOS bundle IDs

Accepted app formats:

{
  "apps": [
    "389801252",
    "id389801252",
    "https://apps.apple.com/us/app/instagram/id389801252",
    "com.instagram.android",
    "https://play.google.com/store/apps/details?id=com.instagram.android"
  ],
  "countries": ["us"],
  "maxReviewsPerApp": 100,
  "sort": "newest"
}

Output

One dataset item per review. Here is an App Store review:

{
  "store": "appStore",
  "appId": "389801252",
  "appName": "Instagram",
  "appUrl": "https://apps.apple.com/us/app/instagram/id389801252",
  "bundleId": "com.burbn.instagram",
  "country": "us",
  "language": null,
  "reviewId": "14664979832",
  "rating": 5,
  "title": "A good app",
  "text": "I use it every day to keep up with friends…",
  "version": "451.0.0",
  "date": "2026-10-15T17:42:10Z",
  "userName": "Happy slayer 101",
  "userUrl": "https://itunes.apple.com/us/reviews/id1234567890",
  "userImageUrl": null,
  "thumbsUpCount": null,
  "voteSum": 0,
  "voteCount": 0,
  "developerReply": null,
  "developerReplyDate": null,
  "sortBy": "newest",
  "appRating": 4.691,
  "appRatingCount": 29598865,
  "developer": "Instagram, Inc.",
  "currentAppVersion": "451.0.0",
  "input": "389801252",
  "markdown": "### ★★★★★ A good app\n\nInstagram · App Store · US · 2026-10-15T17:42:10Z · v451.0.0 · Happy slayer 101\n\nI use it every day…",
  "scrapedAt": "2026-10-16T08:00:03Z"
}

And a Google Play review, which also has helpful votes and the developer's reply:

{
  "store": "googlePlay",
  "appId": "com.duolingo",
  "appName": "Duolingo: Language Lessons",
  "appUrl": "https://play.google.com/store/apps/details?id=com.duolingo",
  "country": "us",
  "language": "en",
  "reviewId": "a1b2c3d4-…",
  "rating": 2,
  "title": null,
  "text": "Since the last update I lose my streak when…",
  "version": "6.42.3",
  "date": "2026-10-14T21:05:44Z",
  "userName": "Jane D.",
  "userImageUrl": "https://play-lh.googleusercontent.com/…",
  "thumbsUpCount": 37,
  "developerReply": "Hi Jane, sorry about that! Please contact us at…",
  "developerReplyDate": "2026-10-15T09:12:00Z",
  "sortBy": "newest"
}

The SUMMARY record in the key-value store lists, for each app and country, how many reviews were delivered and whether the app was not found or failed.

Use cases

1. Daily 1★ and 2★ alerts for a mobile product team

Who: product manager or mobile QA lead. Every morning a scheduled run collects the new negative reviews of the team's app on both stores and sends them to Slack, so a broken release gets spotted within hours instead of in the next sprint review.

Input:

{
  "apps": ["https://apps.apple.com/us/app/duolingo-language-lessons/id570060128", "com.duolingo"],
  "countries": ["us", "gb"],
  "ratings": [1, 2],
  "sort": "newest",
  "maxReviewsPerApp": 200,
  "onlyNew": true
}

Output (excerpt):

[{"store": "googlePlay", "rating": 1, "version": "6.42.3", "text": "App crashes on launch since the update", "date": "2026-10-15T22:10:03Z"}]

Next: a Make or n8n scenario posts each item to #app-reviews, grouped by version. A typical consumer app produces 20–80 negative reviews a day, which costs under $0.50 a month.

2. Competitor benchmark for an app marketing agency

Who: ASO consultant or app marketing agency. Pull the last 500 reviews of 4 music apps in 3 markets (6,000 reviews, $1.20), then have an LLM label the complaints (pricing, bugs, ads, missing features) from the markdown field.

{
  "apps": ["324684580", "com.spotify.music", "deezer.android.app", "com.soundcloud.android"],
  "countries": ["us", "fr", "de"],
  "maxReviewsPerApp": 500,
  "sort": "newest"
}

Output (excerpt):

[{"appName": "Spotify: Music and Podcasts", "country": "fr", "rating": 2, "title": "Trop de pubs", "text": "Depuis la mise à jour…"}]

Next: export to CSV and build a pivot (complaint theme × app × country) for the client deck.

3. Release follow-up in Google Sheets for a support team

Who: customer support manager. After each release, collect every review mentioning the new version since release day and track which ones got a developer reply.

{
  "apps": ["com.whatsapp", "310633997"],
  "countries": ["us"],
  "sinceDate": "2026-10-01",
  "maxReviewsPerApp": 1000
}

Output (excerpt):

[{"store": "googlePlay", "version": "2.26.21.7", "rating": 3, "developerReply": null, "thumbsUpCount": 112}]

Next: Google Sheets integration → filter developerReply = empty and sort by thumbsUpCount to answer the most-upvoted reviews first.

Use with the API

Python

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("<username>/app-store-reviews").call(run_input={
    "apps": ["389801252", "com.instagram.android"],
    "countries": ["us"],
    "maxReviewsPerApp": 200,
    "ratings": [1, 2],
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["store"], review["rating"], review["text"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<APIFY_TOKEN>' });
const run = await client.actor('<username>/app-store-reviews').call({
    apps: ['389801252', 'com.instagram.android'],
    countries: ['us'],
    maxReviewsPerApp: 200,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'reviews');

One HTTP call (run and get the reviews in a single request):

POST https://api.apify.com/v2/acts/<username>~app-store-reviews/run-sync-get-dataset-items?token=<APIFY_TOKEN>
{"apps": ["com.duolingo"], "maxReviewsPerApp": 50}

Automation (Make, n8n, Zapier, Google Sheets)

Example n8n workflow: Schedule Trigger (every day at 7:00) → Apify node "Run actor and get dataset" with {"apps": ["com.yourapp"], "ratings": [1,2], "onlyNew": true} → IF rating <= 2 → Slack message {{$json.rating}}★ v{{$json.version}}: {{$json.text}}. In Make or Zapier, use the Apify "Run an Actor" and "Get dataset items" modules the same way. For Google Sheets, add the Google Sheets integration on the actor's task: every run appends the new reviews as rows.

Use with AI agents (MCP)

The actor works as a tool in the Apify MCP server, so Claude, Cursor, ChatGPT or any MCP client can call it, e.g. "Get the 100 latest 1-star reviews of com.duolingo and summarize the top 5 complaints". Add it with https://mcp.apify.com?tools=<username>/app-store-reviews. Each review has a markdown field (stars, app, country, date, version, text, developer reply) that you can pass straight to an LLM or a RAG index.

FAQ

Do I need an Apple or Google account, or an API key? No. The actor only reads public review data, the same reviews anyone can see in the stores.

How many reviews can I get? On Google Play, as many as the store shows (thousands for popular apps). On the App Store, Apple's public feed gives up to 500 reviews per country and sort order. If you ask for more than 500, the actor combines both sort orders and gets up to about 1,000 per country. To go further, add more countries.

Why are App Store reviews different from one country to another? Apple keeps a separate set of reviews for each country's store. Add every market you care about in countries.

Why do I get few Google Play reviews in some countries? Google Play returns reviews written in one language at a time. Set language (e.g. "es") or leave it empty to use the main language of each country.

Is the developer reply included? Yes for Google Play (developerReply, developerReplyDate). Apple's public feed doesn't include developer replies, so these fields are null for the App Store.

What happens with a wrong ID? The app is skipped with a clear message in the log and in the SUMMARY record, and you aren't charged. Other apps carry on as normal.

How does onlyNew work? The IDs of the reviews already delivered are kept for each app and country in a key-value store named app-store-reviews-state on your account. On the next run they are skipped and not charged.

Limits

• App Store: 500 reviews per country and sort order (about 1,000 with both orders). This is a limit of Apple's public feed.
• App Store reviews have no developer reply, avatar or "helpful" count. Google Play reviews have no title.
• Google Play returns one review language per run (set with language).
• Ratings without text (star-only ratings) aren't published by either store, so they are not included. appRating and appRatingCount give the overall score for App Store apps.
• The stores can change their public endpoints. If one does, the affected apps fail with a clear error and nothing is charged.