App Store & Google Play Reviews Scraper & Analyzer: bugs, requests and stars by version

Get an app's reviews from the App Store and Google Play in any country, without login: stars, title, text, date, app version, helpful votes and the developer's reply, plus each store's rating, ratings count and installs. Search by app name or paste store links.

Turn on the insights report and each app gets a review report: the bugs users hit, the features they ask for, their complaints and praise, the themes with counts, the stars split, average stars by app version and reviews per month. Built for product managers, ASO and app marketing teams, agencies and competitor research.

What you get

Field	What it holds
Review rows	rating, title, text, date, appVersion, helpful, reply, replyDate, author, store, appName, country, id
App rows	per store: name, developer, rating, ratings, installs (Google Play), price, version, category, released, updated, url
Insights row (optional)	summary, bugs, requests, complaints, praise, questions (each with example reviews), themes with counts, sentiment, kinds, averageStars, starsSplit, starsByVersion, reviewsPerMonth
SUMMARY	what each app returned, notes and what was charged

What people use it for

• Product roadmap: the features users ask for most
• Bug triage: what breaks, in which version
• Release checks: stars by version after each update
• Competitor research: what users love and hate in rival apps
• ASO: the words users use about your app
• Agency reporting: a review report per client app

How to use it

1. Add apps: names or App Store / Google Play links.
2. Pick the store, the country and how many reviews per store.
3. Keep Insights report on, click Start, then open the Reviews or Insights table.

Input

Field	Example	Notes
Apps	an app name, or a store link	One per line; a link picks its own store
Store	both	Or only the App Store or Google Play
Country	US	Any two-letter store country
Reviews per store	200	Up to 5,000 (Google Play)
Insights report	on	One report per app

Output

Each result is one row in the run's dataset (download it as JSON, CSV, Excel, XML or HTML, or read it through the API). An example row (values shortened):

{
  "kind": "review",
  "store": "apple",
  "appName": "Example app",
  "rating": 5,
  "title": "Experience so far",
  "text": "So most importantly if you have a child who doesn't want to study or has disabilities, obviously it's not guaranteed to work but my kid does it and i haven't ha…",
  "date": "2026-06-08T14:19:22.000Z",
  "author": "example.user"
}

With insights on, each app also gets one insights row. From a run on 17 October 2026 (150 Google Play reviews of a language-learning app, names removed): average 4.39 stars (105 five-star, 11 one-star); 20 complaints, 3 bugs, 2 requests, 120 praise; bugs "Completing event lessons causes app restarts and lost rewards" and "Correct answers graded as wrong"; complaints "aggressive streak notifications" and "intrusive ads and energy limits"; version 6.101.2 averaged 4.52 stars over 103 reviews. A record named SUMMARY in the run's key-value store says what each app returned and what was charged.

Pricing

• $0.0006 per review ($0.60 per 1,000)
• $0.05 per insights report (one per app, only when asked for; failed reports are free)
• App rows are free; apps that are not found cost nothing
• The AI model that writes the report (Google's Gemini Flash) is billed by Apify at its exact cost: about $0.01 a report on 60 to 150 reviews (measured 17 October 2026), more for more reviews; Apify charges free-plan accounts 10 times that

What typical jobs cost at the list price:

Job	Cost
200 reviews from one store	$0.12
200 reviews per store from both stores, with the report	$0.29
10 competitor apps, 200 reviews each, with reports	$1.70
1,000 Google Play reviews	$0.60

On Apify's Scale and Business plans the per-event prices are lower (Store discounts). Set Maximum cost per run and the Actor stops cleanly when it is reached: you never pay more than that.

Tips

• Run it after every release and compare starsByVersion.
• Put your app and three competitors in one run: four reports side by side.
• Sort Google Play by rating to read the 1-star reviews first.

Use it through the API

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("zaiq/app-reviews-analyzer").call(run_input={"apps": ["https://play.google.com/store/apps/details?id=org.wikipedia"], "maxReviewsPerStore": 300})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('zaiq/app-reviews-analyzer').call({"apps": ["https://play.google.com/store/apps/details?id=org.wikipedia"], "maxReviewsPerStore": 300});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

HTTP (one call, results back)

curl -X POST 'https://api.apify.com/v2/acts/zaiq~app-reviews-analyzer/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>' \
  -H 'Content-Type: application/json' \
  -d '{"apps": ["https://play.google.com/store/apps/details?id=org.wikipedia"], "maxReviewsPerStore": 300}'

Integrations and schedules

• Schedules: run it every hour, day or week from the Apify Console (Schedules) and keep a history of results.
• Make, Zapier, n8n, Google Sheets, Slack, Airtable: connect it through Apify's integrations, or send each finished run to a webhook.
• Datasets: results stay in the run's dataset; export them or read them by API whenever you need them.

Use it with AI agents (MCP)

Add Apify's MCP server (https://mcp.apify.com) to Claude, ChatGPT, Cursor, VS Code or any MCP client. The agent can find this Actor and run it for you: ask it for "what bugs do users report in the latest version of this app, from its App Store and Google Play reviews". AI agents can also pay for runs directly through Apify's agentic payments.

Limits

• Apple's public review feed came back empty for some apps and countries on 17 October 2026; the Actor then reads the reviews the App Store page itself shows (about 10 to 20, most helpful first, without app versions) and says so in the run's notes.
• Google Play: up to 5,000 reviews per app, in the language you pick.
• The report's counts come from the AI's label for each review: close, not perfect.
• Public data only: you are responsible for how you use it under the stores' terms and the privacy laws that apply to you.

FAQ

Do I need an Apple or Google account?

No. Everything comes from what the stores show a signed-out visitor.

Which countries?

Any App Store or Google Play country, one per run (run again for another).

How are bugs found?

Every review is labelled as a bug, complaint, request, praise or question, and the report lists the main points of each with example reviews.

Can I skip the report?

Yes: turn Insights report off and pay only per review.

Related Actors from Zaiq

• trustpilot-reviews-scraper: Trustpilot reviews with the same kind of report
• youtube-comments-scraper: YouTube comments with insights
• tiktok-comments-scraper: TikTok comments with insights
• keyword-research: Google search volume and keyword ideas

Support

Questions, a site that changed, or a field you need? Open an issue on this Actor's Issues tab: we answer there, usually within a day.

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Also found as: app store reviews scraper, google play reviews scraper, app review analysis, app reviews api, ios app reviews, android app reviews, app store review export, aso review analysis.