App Store Reviews Scraper: iOS & Google Play

Scrape Apple App Store (iOS) and Google Play (Android) reviews in a single run — any number of apps, any number of countries, one clean dataset. No login, no API keys, no browser.

Built for review monitoring: turn on Only new reviews and schedule it. Each run returns just the reviews posted since the last run, so you pay only for what's new.

How to use

1. Sign up for Apify — the free plan's monthly credit is enough to try this Actor.
2. Open App Store & Google Play Reviews Scraper, fill in the input (the form is pre-filled with a working example) and click Start.
3. Watch results stream into the dataset table while the run is going.
4. Export as JSON, CSV, Excel, XML, HTML or RSS — or pull the results from your own code with the Apify API.

Why use this App Store and Google Play reviews scraper?

• Both stores, one schema. Mix App Store and Google Play URLs in the same input. Every review comes out with the same fields: rating, text, date, developerReply…
• Multi-country. List ["us", "gb", "de", "jp"] and each app is scraped in every storefront.
• Deep history. Goes far beyond the 500-review limit of Apple's RSS feed. Tested at thousands of reviews per app.
• Pay only for what you want.
  • Rating filters (e.g. only 1–2★ complaints) and a Reviews newer than date are applied before saving.
  • With newest-first sorting the run stops as soon as it reaches older reviews.
• Monitoring mode. Remembers the newest review per app and country between runs. Pair it with a schedule and Slack, email or Google Sheets integrations.
• Developer replies included. Useful to measure support responsiveness.

How to scrape App Store and Google Play reviews

{
  "apps": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
    "https://play.google.com/store/apps/details?id=com.whatsapp",
    "284882215",
    "com.spotify.music"
  ],
  "countries": ["us", "gb"],
  "language": "en",
  "sort": "newest",
  "maxReviewsPerApp": 500,
  "maxRating": 2,
  "since": "2026-09-01",
  "onlyNewReviews": false,
  "includeAppDetails": true
}

Field	What it does
apps	App Store / Google Play URLs, numeric App Store IDs, or Play package names
countries	Store country codes. Empty = country from the URL, else us. App Store reviews differ per country; Google Play returns the same reviews for every country, so duplicates are removed automatically and charged only once
language	Review language (Google Play filters by it)
sort	newest, mostHelpful, lowestRating, highestRating
maxReviewsPerApp	Limit per app per country
minRating / maxRating	Star range to keep
since	Only reviews posted after this date
onlyNewReviews	Monitoring mode — only reviews newer than the previous run
includeAppDetails	Adds app name, developer, average rating, rating count, current version
maxResults	Hard cap for the whole run

Input reference

Every option at a glance. A minimal input that works as-is:

{
  "apps": [
    "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
    "https://play.google.com/store/apps/details?id=com.whatsapp"
  ],
  "countries": [
    "us"
  ],
  "language": "en",
  "sort": "newest",
  "maxReviewsPerApp": 500,
  "includeAppDetails": true
}

All fields:

• apps (Apps) — App Store or Google Play app URLs, numeric App Store IDs (e.g. 284882215) or Google Play package names (e.g. com.whatsapp). You can mix both stores.
• countries (Countries) — Two-letter store country codes (us, gb, de, jp, kr…). Each app is scraped in every country listed. Empty = country from the URL, or us.
• language (Language) — Review language code, e.g. en, de, ja, ko. Google Play filters by it; the App Store mostly returns reviews for the country. Default "en".
• sort (Sort by) — Order in which reviews are collected. “Newest first” is required for monitoring and lets the date filter stop early. Options: newest (Newest first), mostHelpful (Most helpful), lowestRating (Lowest rating first), highestRating (Highest rating first); default "newest".
• maxReviewsPerApp (Max reviews per app & country) — Upper limit for each app in each country. Default 500.
• minRating (Minimum rating) — Keep only reviews with at least this many stars.
• maxRating (Maximum rating) — Keep only reviews with at most this many stars. Set 2 to collect only negative reviews.
• since (Reviews newer than) — Only return reviews posted after this date. With “Newest first” the scraper stops as soon as it reaches older reviews, so you never pay for them.
• onlyNewReviews (Only new reviews since last run (monitoring)) — Remembers the newest review seen for each app and country, and on the next run returns only reviews posted after it. Ideal for scheduled runs feeding Slack, email or a spreadsheet. Default false.
• includeAppDetails (Add app details) — Add app name, developer, average rating, rating count and current version to every review. Default true.
• maxResults (Max results (total)) — Stop the whole run after this many reviews. You are charged per review.

What the App Store and Google Play reviews output looks like

{
  "store": "googleplay",
  "appId": "com.whatsapp",
  "country": "us",
  "language": "en",
  "appName": "WhatsApp Messenger",
  "appDeveloper": "WhatsApp LLC",
  "appRating": 4.62,
  "appRatingCount": 243730164,
  "appCurrentVersion": "VARY",
  "reviewId": "592a7093-0202-4938-a7f2-19bb793d714e",
  "userName": "…",
  "rating": 1,
  "title": null,
  "text": "…",
  "date": "2026-09-16T06:08:02.928Z",
  "appVersion": "2.26.35.75",
  "thumbsUp": 0,
  "isEdited": null,
  "developerReply": null,
  "developerReplyDate": null,
  "reviewUrl": "https://play.google.com/store/apps/details?id=com.whatsapp&reviewId=…",
  "scrapedAt": "2026-09-17T01:02:03.000Z"
}

Store differences: App Store reviews have a title and isEdited but no appVersion or thumbsUp. Google Play reviews have appVersion and thumbsUp but no title. Missing values are null, so the columns always line up.

What can you do with App Store and Google Play reviews data?

• Product & UX teams — collect 1–2★ reviews after every release to spot bugs and churn reasons.
• Competitor research — compare what users love or hate across competing apps and markets.
• Customer support — track unanswered reviews and developer reply times.
• AI analysis — feed clean review text into an LLM for sentiment, topics or feature requests.

How much does it cost?

Pay per review saved, plus a negligible start fee per run ($0.05 per 1,000 runs). Filtered-out reviews are never charged. Use Max results or the run's spending limit to cap cost.

Limits you should know about

• Only publicly visible reviews are collected. No login is used.
• Google Play's language setting controls which reviews are returned. The App Store returns reviews for the chosen country regardless of language.
• If a store changes something and a run breaks, please open an issue — it will be fixed quickly.

Pricing — what you pay per review

This Actor uses pay-per-event pricing: no monthly rental, you pay for the results you get. Prices per 1,000 results by Apify plan:

Event	Free plan	Bronze	Silver	Gold+
review — One app review saved to the dataset	$0.10	$0.09	$0.085	$0.08

There is also a small start fee of $0.00005 per GB of memory ($0.00005 per run at the default 1 GB). Platform compute is included in the price — you are not billed separately for run time. Set a maximum total charge on the run if you want a hard cap, and use the input limits to control how much is fetched. The current prices are always on the Pricing tab.

Tips

• Start with a small maxResults (say 20) to check the output, then raise it — you only pay per result.
• For ongoing tracking, schedule the Actor and turn on onlyNewReviews so each run returns only what is new.
• Rows the Actor cannot read are logged and skipped, never charged — check the run log if a count looks low.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it on a cron to keep your data fresh.
• Webhooks — trigger downstream actions the moment a run finishes.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('tindacloud/app-store-reviews-scraper').call({
    "apps": [
        "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
        "https://play.google.com/store/apps/details?id=com.whatsapp"
    ],
    "countries": [
        "us"
    ],
    "language": "en",
    "sort": "newest",
    "maxReviewsPerApp": 500,
    "includeAppDetails": true
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Python

from apify_client import ApifyClient

client = ApifyClient("MY_APIFY_TOKEN")
run = client.actor("tindacloud/app-store-reviews-scraper").call(run_input={
    "apps": [
        "https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
        "https://play.google.com/store/apps/details?id=com.whatsapp"
    ],
    "countries": [
        "us"
    ],
    "language": "en",
    "sort": "newest",
    "maxReviewsPerApp": 500,
    "includeAppDetails": True
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL — run and get the results in one request:

curl -X POST "https://api.apify.com/v2/acts/tindacloud~app-store-reviews-scraper/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"apps": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997", "https://play.google.com/store/apps/details?id=com.whatsapp"], "countries": ["us"], "language": "en", "sort": "newest", "maxReviewsPerApp": 500, "includeAppDetails": true}'

Integrate with any app

Connect the dataset to thousands of apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new records straight into your CRM or sheet.
• n8n — self-hosted workflows.
• Slack — get notified when a run finishes or finds something new.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.
• Webhooks — call your own endpoint when a run succeeds or fails.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this Actor from Claude, ChatGPT, Cursor or any agent framework through the Apify MCP server — ask your assistant to "pull this month's 1-star reviews of our app from the App Store and Google Play in the US and UK and group the complaints" and let it run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This Actor is agent-ready — AI agents can discover it, run it and pay for it on their own. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic payments:

• x402 — an open, HTTP-native payment protocol. Agents pay in USDC through the Apify MCP server — no Apify account needed.
• Skyfire — agent-to-service payments with pre-funded Skyfire tokens.

Building an AI agent, MCP tool or data pipeline? This Actor is ready to plug in and pay as it goes.

Ready-made examples

Open one, change the fields, press Start — nothing to configure:

• Scrape App Store and Google Play reviews
• Monitor new app reviews every day
• Scrape 1-star app reviews to find complaints

Frequently asked questions about scraping App Store and Google Play reviews

Do I need an API key or a login?

No. Paste your input, press Start. There is nothing to connect and no account on the target site to create.

How do I export the results?

Every run produces a dataset you can download as JSON, CSV, Excel, XML or HTML, or read through the Apify API from your own code. You can also connect it to Make, Zapier or n8n.

Can I run this on a schedule?

Yes. Apify schedules run it every hour, day or week without you being there. With the monitoring option on, you only get reviews posted since the last run.

Can I call it from Python or JavaScript?

Yes — the Apify API runs any Actor and returns the dataset, and the official Python and JavaScript clients wrap it in a few lines. AI agents can call it too, through Apify's MCP server.

What does it cost?

You pay per result, not per hour. Filters are applied before anything is charged, so narrowing the input directly lowers the bill. Pages that cannot be read are reported in the log and never charged.

Is this data public?

Everything collected here is what the App Store and Google Play shows to anyone without logging in. Check the target site's terms and the rules that apply to you before using the data commercially.

Related scrapers

Other scrapers from the same maker, built the same way — no browser where it isn't needed, one flat price per result:

• Shopify Store Products Scraper
• AliExpress Product Search
• Website Contact & Email Scraper

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Apple Inc. and Google LLC. All trademarks mentioned are the property of their respective owners. "App Store and Google Play" is named here only in a descriptive sense — to identify the publicly available website this Actor reads. It collects only publicly available information that anyone can see without logging in; you are responsible for making sure your use of the data complies with applicable laws, regulations and the terms of the source website.