App Store & Google Play Reviews Scraper API

Turn thousands of app reviews into the three things your team should fix next

Every Google Play and App Store review in one clean dataset, plus the complaints, bugs and feature requests behind your rating, each backed by real quotes. $0.10 per 1,000 reviews. No login and no app ownership needed, so it works on competitors too.

Try it free: switch on Demo to see the exact output before you spend a cent.

What you get

• Every review, both stores, one format. Rating, text, app version, developer reply, date and country, ready for Google Sheets, your BI tool or your pipeline.
• The "why" behind your rating. Complaint and praise themes with counts and word-for-word quotes, and bugs tied to the release that introduced them.
• Your app against the competition. Ratings, share of 1-2 star reviews, reply speed and top complaints, side by side.
• An early warning. Schedule it weekly: you pay only for new reviews, and get a Slack or webhook alert when the rating drops or complaints spike.
• No surprises on the bill. Apps that fail to load are free, and every result shows how many reviews were read and why reading stopped.

Built for

• Product managers checking what broke after a release
• ASO specialists and app marketers taking apart a competitor's reviews
• Support leads finding the 1-star reviews nobody answered
• AI agents and developers, through the API or the MCP server

What data can App Reviews & Insights extract?

Field	Row type	Description
store	all	google_play or app_store
app_id	all	Play package name or App Store numeric id
name, developer	app	App and developer name
rating, ratings_count	app	Store rating and number of ratings
installs	app	Install range (Google Play only)
version, updated_at	app	Current version and its release date
coverage	app	Reviews requested, read, kept, and why reading stopped
rating	review	Stars, 1 to 5
title, text	review	Review title (App Store) and text
author	review	The display name the reviewer chose
app_version	review	App version the review was written on (Google Play)
thumbs_up	review	Helpful votes (Google Play)
reply, reply_at	review	The developer's reply and when it was posted
updated_at	review	When the review was written or last edited
stats, themes	insights	Rating spread, by version and country, reply rate; complaint, praise, bug and request themes

How to scrape app reviews from Google Play and the App Store

1. Click Try for free and open the Input tab.
2. In Apps, paste Google Play package names or URLs (com.spotify.music) and App Store URLs or ids (https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580). You can mix both stores.
3. Choose What to get: app details, reviews, insights, comparison or monitor.
4. Set the countries, the max reviews per app and country, and any filters (stars, keywords, dates, app versions, answered or unanswered).
5. Click Start, then open the Output tab or download the dataset.

Not sure about the format? Tick Demo and run it: you get sample output for free, with no requests made.

How much does it cost to scrape app reviews?

The actor uses pay-per-event pricing: you pay for what it delivers, and the platform usage is included. The prices of each event are on the Pricing tab.

Event	When it's charged
App details record	Once per app and country read
App reviews batch	Per started 100 reviews returned
App insights report	Once per insights report that analysed review text
Apps comparison	Once per comparison of an app set
Monitor check	Once per app checked in monitor mode (plus its new reviews)

Insights and comparisons run on your own Anthropic key (field Your Anthropic API key): Claude's cost, about $0.01 per app on Claude Haiku, goes to your Anthropic account, and the key is used for that run only. Reviews, details and monitoring need no key.

Failed apps, empty results and reviews dropped by your filters are not charged. You can set a maximum cost per run in the run options; the actor stops cleanly at that limit and keeps what it already read.

Cost examples

Job	Cost
1,000 reviews of one app	$0.10 + $0.002 for the app record
Insights report on 400 reviews	about $0.07 (+ about $0.01 of Claude on your key)
Your app vs 2 competitors, compared	about $0.31
10 apps monitored weekly	about $0.80 a month + new reviews
An app that fails to load	free

Input

See the Input tab for every option. The ones that need a word of explanation:

• What to get: details (app records only), reviews (app record + reviews), insights (one report per app), compare (two to five apps side by side), monitor (only new reviews since the last run, plus alerts).
• Countries: each app is read in each country. Reviews differ by country, especially on the App Store.
• Filters are applied after reading, so the app row's coverage shows both what was read and what was kept.
• Monitor remembers the last run in a named key-value store in your account. Schedule the same task daily or weekly. Alert webhook takes a Slack incoming-webhook URL or any HTTPS endpoint.

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Each row has a type: app, review, insights, comparison, alert, error or notice.

[
  {"type": "app", "store": "google_play", "app_id": "com.example.notes", "name": "Example Notes",
   "rating": 4.3, "ratings_count": 18240, "installs": "1,000,000+", "version": "5.2.0",
   "coverage": {"requested": 200, "read": 200, "kept_after_filters": 200, "stopped_because": "max_reviews"}},
  {"type": "review", "store": "google_play", "app_id": "com.example.notes", "rating": 2, "app_version": "5.2.0",
   "text": "Sync stopped working after the last update.", "reply": null, "updated_at": "2026-11-07T10:12:00Z"},
  {"type": "insights", "store": "google_play", "app_id": "com.example.notes", "name": "Example Notes",
   "stats": {"reviews": 400, "average_rating": 3.9, "low_share": 0.21, "reply_rate": 0.34, "median_reply_hours": 26.5},
   "themes": {"summary": "Users like the editor; the 5.2.0 sync bug drives the low ratings.",
              "complaints": [{"theme": "sync failures", "count": 61,
                              "quotes": ["Sync stopped working after the last update."]}],
              "bugs": [{"issue": "sync fails", "count": 54, "versions": ["5.2.0"]}],
              "feature_requests": [{"theme": "dark mode for widgets", "count": 17}]}}
]

Use it as an API or from an AI agent

• API: start runs and read results through the Apify API; see the API tab for ready-made code in Python, JavaScript and cURL.
• MCP: the actor also runs in Standby mode as an MCP server, with the tools app_details, app_reviews, app_insights, compare_apps, monitor_apps and usage. Each tool returns a compact result and states its cost, so an agent doesn't pull thousands of rows by accident.

Tips

• Start with Demo to see the format, then with a small Max reviews (for example 50) for one app.
• For a release check, use App versions or Only the last N days instead of reading the full history.
• Insights reads the newest reviews of each app (up to about 400 per report), which keeps reports fast and focused on what users say now.

FAQ

Which App Store reviews can it read?

Reviews come newest first, per country, from the same source the App Store website shows. App Store reviews carry no app version or helpful-vote count; those two fields are Google Play only.

Why did an app return fewer reviews than I asked for?

The app row's coverage.stopped_because says why: the store had no more (store_end), your dates ended the read (date_range), or the store slowed requests down (rate_limited). What was read up to that point is kept.

Is it legal to scrape app reviews?

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Something isn't working. Where do I report it?

Open the Issues tab and describe the app, the input and what you expected. We read every issue.

byteblisk actors

Built and supported by byteblisk. Same record conventions, API style and MCP design across all three, so an AI agent can use them together:

• 📄 SiteReader: any website to clean Markdown or JSON for AI, with AI fields, site maps and watches.
• ⭐ App Reviews & Insights: Google Play and App Store reviews in one format, with AI insights and alerts.
• 🔎 Google Play & Search Toolkit: Play apps, reviews and search, top-100 search rank, and exports to your warehouse, in one actor.

Something missing or broken? Open an issue in the Issues tab: we answer every one.