App Store & Google Play Review Scraper — Both Stores in One Run + Alerts

This app review scraper extracts customer reviews from the Apple App Store and Google Play in a single run — no login, no proxies, no browser. Point it at any app (URL, Apple app ID or Android package name) and get clean, structured app review data: rating, title, text, author, app version and date. Turn on monitor mode and it becomes an app review monitor with alerts: scheduled runs return only the reviews posted since the last run — perfect for reputation monitoring, 1-star review alerts and competitor analysis.

Most review scrapers cover one store only, forcing you to run and reconcile two separate tools. This one reads both the App Store and Google Play in the same run, auto-detecting each app's platform — so your reputation dashboard is complete, not half the picture.

Why this app review scraper beats single-store tools

	This scraper (both stores)	Single-store App Store scraper	Single-store Google Play scraper
Apple App Store reviews	✅	✅	❌
Google Play reviews	✅	❌	✅
One run, one dataset	✅ Mixed apps + platforms	❌ Two tools to reconcile	❌
Monitor mode (only NEW reviews)	✅ Built in	Sometimes	Sometimes
1-star webhook alerts	✅ maxRating + webhook	Rare	Rare
Per-country storefronts	✅ us, gb, de, es…	Varies	Varies
Pay-per-result	✅	Varies	Varies

• Both stores in one run — mix Apple app IDs and Android package names freely; the platform is auto-detected.
• Fresh and reliable — reads Apple's public reviews feed and Google Play's public review data. No fragile HTML scraping, no login walls.
• Reviews = the voice of your users. A spike in 1-star reviews after a release is an incident. A competitor's complaints are your roadmap.
• AI-agent ready — flat input, clean JSON output. Works out of the box via MCP for AI agents and LLM pipelines.

What you get for each review

{
  "app": "com.whatsapp",
  "platform": "googleplay",
  "country": "us",
  "reviewId": "b2b7c9a1-4f3e-4d2a-9c8e-1a2b3c4d5e6f",
  "rating": 1,
  "title": null,
  "content": "The latest update keeps crashing on startup...",
  "author": "Jane D",
  "appVersion": "2.26.11.75",
  "reviewedAt": "2026-07-01T14:23:05.000Z",
  "isNew": true,
  "url": "https://play.google.com/store/apps/details?id=com.whatsapp&gl=us"
}

How to use it

1. Add apps — App Store URLs (https://apps.apple.com/us/app/whatsapp-messenger/id310633997), numeric Apple IDs (310633997), Google Play URLs, or package names (com.whatsapp).
2. (Optional) Pick countries — reviews are fetched per storefront (us, gb, de, es, ...).
3. (Optional) Filter by rating — set maxRating: 2 to get only 1-2 star reviews for alerting.
4. (Optional) Enable monitor mode — and schedule the actor (e.g. hourly or daily). Each run returns only NEW reviews. Combine with a webhook to push negative reviews to Slack, email or your ticketing system.

Use cases

Each of these maps to a real search buyers make:

• "Monitor app reviews for reputation management" — track every new review across both stores and all your markets in one place, so nothing about your app's public perception slips by.
• "Get a Slack alert for 1-star app reviews" — schedule + maxRating: 2 + webhook = a 1-star review lands in Slack minutes after it's posted, tagged with the app version that caused it.
• "Scrape competitor app reviews for feature ideas" — mine rivals' 1-2 star reviews for the pain points, missing features and churn triggers your product can win on.
• "Track reviews after an app release" — watch the rating distribution shift the moment a new build ships, and catch a regression before the store rating drops.
• "Feed app reviews to an AI sentiment pipeline" — stream structured reviews to an LLM workflow (sentiment, clustering, auto-triage) via the Apify MCP server.

Reputation monitoring & 1-star review alerts

The flagship workflow: set maxRating: 2, enable monitorMode, schedule hourly, and wire a webhook. Every new 1-2 star review across the App Store and Google Play is pushed to Slack (or your helpdesk) in near real time, with the offending app version attached — so support and product respond while the review is still fresh and the reviewer might still update their rating.

Pricing

Pay per review delivered — no subscription, no minimum. You only pay for results. Apps that can't be found are not charged.

FAQ

Which platforms are supported?

The Apple App Store (via Apple's public customer-reviews feed) and Google Play. You can mix both in a single run — the actor auto-detects the platform from each app entry.

Can I scrape both the App Store and Google Play in one run?

Yes — that's the core differentiator. Add Apple IDs and Android package names to the same input list; each is routed to the right store automatically and all reviews land in one dataset.

How do I get Slack alerts for 1-star reviews?

Set maxRating: 2 and monitorMode: true, schedule the actor (e.g. every hour), and attach an Apify webhook or integration (Slack, email, Zapier, Make) to the run. Each new 1-2 star review triggers your alert with full review data, including the app version.

How does monitor mode work?

The actor keeps a per-app, per-country record of previously seen review IDs in a persistent named store. On each run it compares current reviews against that record and outputs only new ones (isNew: true). The first run outputs everything and initializes the state.

How many reviews can I get per app?

Up to 500 of the most recent reviews per app per country per run (the App Store feed exposes at most 10 pages of 50). For continuous coverage beyond that, use monitor mode on a schedule — you'll capture every review over time.

Is scraping app reviews legal?

The actor only reads publicly available review data — the same content anyone sees on the app's store page. No login, no personal data beyond the public reviewer display name, no rate-limit abuse. Review each store's terms and your local regulations for your specific use case. Apple documents its public feed via the RSS Feed Generator.

Can AI agents use this actor?

Yes — the input schema is flat and agent-friendly, and every Apify actor is consumable via the Apify MCP server, so agents can call it as a tool.

What happens if an app isn't found?

You get an APP_NOT_FOUND item for that app (not charged), and the rest of the list continues processing.