App Store & Google Play Reviews Scraper

▶️ Run the App Reviews Scraper on Apify » No sign-up friction, no API key, no code required — click Try for free, hit Start, and get 1,000+ app reviews in minutes.

Scrape thousands of app reviews from Google Play and the Apple App Store in a single run. Pull star ratings, full review text, review titles, app version, reviewer names, up-votes, developer replies, review dates, and a ready-made sentiment label — all as clean, structured JSON / CSV / Excel data. No Google Play or App Store API key needed. Point it at any app by package name (com.spotify.music), Apple track ID (324684580), or just search by name ("Duolingo"), pick a country/storefront, and export.

Perfect for App Store Optimization (ASO), app review sentiment analysis, competitor review mining, feature-request tracking, and product research at scale.

▶️ Run it on Apify

This repository is documentation only. The scraper itself runs as a hosted Apify Actor — no infrastructure, no proxies to manage, no maintenance:

👉 apify.com/logiover/app-reviews-scraper

Click Try for free to run it in the Apify Console right now. An empty input returns 1,000+ reviews for a set of hugely-popular apps so you can see the output shape instantly.

What you get

Every review is returned as a flat, analysis-ready record. Output fields:

appId — Google Play package name or Apple track ID the review belongs to
appName — human-readable app name
store — source store: google_play or app_store
country — storefront / country code the review was pulled from
reviewId — unique identifier of the review within its store
userName — display name of the reviewer
rating — star rating from 1 to 5 (number)
title — review title / headline (App Store; usually empty on Google Play)
text — full body text of the review
thumbsUp — number of up-votes / helpful votes
helpfulCount — helpful-vote count for the review
reviewCreatedVersion — app version the review was written against, when available
appVersion — app version associated with the review
reviewDate — when the review was posted or last updated (ISO 8601)
developerReplyText — text of the developer's reply, when present (Google Play)
developerReplyDate — date of the developer's reply (ISO 8601), when present
sentiment — coarse sentiment derived from the rating: positive (4–5), neutral (3), negative (1–2)
url — link to the review or reviewer profile

Export it all as CSV, JSON, JSONL, Excel, or XML, or pull it straight from the dataset API.

Use cases

App Store Optimization (ASO) — mine the exact words users use so you can optimize titles, subtitles, keywords, and descriptions.
App review sentiment analysis — every record ships with a sentiment label plus a numeric rating, so you can chart positive/neutral/negative trends over time and across versions.
Competitor review mining — scrape any competitor's reviews on both stores to find their weaknesses, most-loved features, and churn drivers.
Feature-request tracking — surface the features users keep asking for and quantify demand by up-votes (thumbsUp / helpfulCount).
Product research & discovery — validate ideas, spot unmet needs, and benchmark satisfaction across a whole category of apps.
Release / QA monitoring — filter reviews by appVersion to catch regressions and complaints introduced by a specific build.
Support & reputation management — track developer replies and spot negative reviews that need a response.
Market & investment research — gauge user sentiment and satisfaction for apps you're evaluating.

Quick start (4 methods)

Pick whichever fits your workflow. All four hit the same Actor — logiover/app-reviews-scraper.

1. Apify Console — no code

Open apify.com/logiover/app-reviews-scraper.
Click Try for free / Start.
Leave the input empty to get 1,000+ reviews for a set of hugely-popular apps — or set App IDs / package names, Store, Country, and Max reviews.
When the run finishes, open the Dataset tab and Export to CSV / JSON / Excel, or grab the results via the API.

Every field is optional, so the empty-input run is the fastest way to see exactly what you get.

2. Apify CLI

Install the CLI, log in, and call the Actor from your terminal:

# Install the Apify CLI (once)
npm i -g apify-cli

# Log in with your Apify token (grab it from https://console.apify.com/account/integrations)
apify login

# Run with defaults (returns 1000+ reviews)
apify call logiover/app-reviews-scraper

# Run with custom input
apify call logiover/app-reviews-scraper --input '{
  "store": "both",
  "appIds": ["com.spotify.music", "324684580"],
  "country": "us",
  "sort": "newest",
  "maxReviews": 5000
}'

The CLI streams run logs and prints the dataset location when it finishes. See examples/cli.md for more.

3. API / cURL

Run the Actor synchronously and get the review items back in one HTTP call. Replace YOUR_TOKEN with your Apify API token:

curl -X POST \
  "https://api.apify.com/v2/acts/logiover~app-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "store": "both",
    "appIds": ["com.spotify.music", "324684580"],
    "country": "us",
    "sort": "newest",
    "maxReviews": 1000
  }'

The response body is a JSON array of review items. Want CSV instead? Add &format=csv to the URL. Full walkthrough (async runs, polling, dataset pagination) in examples/api-curl.md.

4. apify-client (JavaScript & Python)

JavaScript / Node.js — npm i apify-client:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });

const input = {
  store: 'both',
  appIds: ['com.spotify.music', '324684580'],
  country: 'us',
  sort: 'newest',
  maxReviews: 1000,
};

// Run the Actor and wait for it to finish
const run = await client.actor('logiover/app-reviews-scraper').call(input);

// Fetch the review items from the run's dataset
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} reviews`);
console.log(items[0]);

Python — pip install apify-client:

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")

run_input = {
    "store": "both",
    "appIds": ["com.spotify.music", "324684580"],
    "country": "us",
    "sort": "newest",
    "maxReviews": 1000,
}

# Run the Actor and wait for it to finish
run = client.actor("logiover/app-reviews-scraper").call(run_input=run_input)

# Fetch the review items from the run's dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["rating"], item["appName"], "-", item["text"][:80])

More detailed client recipes: examples/javascript.md · examples/python.md.

Input

Every field is optional — run with empty input to pull reviews for a set of hugely-popular apps. Configure as much or as little as you like:

Field	Key	Type	Default	Description
Store	`store`	string (enum)	`both`	Which store(s) to scrape: `both`, `google_play`, or `app_store`.
App IDs / package names	`appIds`	array of strings	(popular apps)	Google Play package names (e.g. `com.spotify.music`) and/or numeric Apple track IDs (e.g. `324684580`). You can mix both — package names route to Google Play, numeric IDs to the App Store. Leave empty to scrape a set of hugely-popular apps.
App search query	`appQuery`	string	—	Resolve an app by name instead of an ID (e.g. `Duolingo`). The top match on each selected store is scraped. Combined with any App IDs.
Country / storefront	`country`	string (enum)	`us`	Primary storefront and language region (e.g. `us`, `gb`, `de`, `jp`). Controls the Google Play country and the main App Store storefront.
Language	`language`	string (enum)	`en`	Language for Google Play reviews (ISO 639-1).
Sort reviews by	`sort`	string (enum)	`newest`	`newest` (most recent), `helpfulness` (most helpful / most up-voted), or `rating` (highest rating — Google Play).
Max reviews	`maxReviews`	integer	`1000`	Maximum total reviews to collect across all apps and stores (`1`–`200000`).
App Store storefronts (advanced)	`appleCountries`	array of strings	—	Explicit list of App Store storefront codes to sweep (e.g. `["us","gb","ca","au","de"]`). Each storefront exposes up to ~500 reviews per app, so more storefronts multiply App Store volume.
Proxy configuration	`proxy`	object	`{ "useApifyProxy": true }`	Apify Proxy configuration. Automatic proxy works well out of the box.

Minimal example input:

{}

Typical example input:

{
  "store": "both",
  "appIds": ["com.spotify.music", "324684580"],
  "appQuery": "Duolingo",
  "country": "us",
  "language": "en",
  "sort": "newest",
  "maxReviews": 5000
}

Output

Each item in the dataset is one review with the following fields:

Field	Type	Description
`appId`	string	Google Play package name or Apple track ID the review belongs to.
`appName`	string	Human-readable app name.
`store`	string	Source store: `google_play` or `app_store`.
`country`	string	Storefront / country code the review was pulled from.
`reviewId`	string	Unique identifier of the review within its store.
`userName`	string	Display name of the reviewer.
`rating`	number	Star rating from 1 to 5.
`title`	string	Review title / headline (App Store; usually empty on Google Play).
`text`	string	Full body text of the review.
`thumbsUp`	integer	Number of up-votes / helpful votes.
`helpfulCount`	integer	Helpful-vote count for the review.
`reviewCreatedVersion`	string	App version the review was written against, when available.
`appVersion`	string	App version associated with the review.
`reviewDate`	string	When the review was posted or last updated (ISO 8601).
`developerReplyText`	string	Text of the developer's reply, when present (Google Play).
`developerReplyDate`	string	Date of the developer's reply (ISO 8601), when present.
`sentiment`	string	Coarse sentiment from the rating: `positive` (4–5), `neutral` (3), `negative` (1–2).
`url`	string	Link to the review or reviewer profile.

Sample review item (JSON)

{
  "appId": "com.spotify.music",
  "appName": "Spotify: Music and Podcasts",
  "store": "google_play",
  "country": "us",
  "reviewId": "gp:AOqpTOFakeReviewId1234567890",
  "userName": "Alex Johnson",
  "rating": 2,
  "title": null,
  "text": "Loved this app for years but the latest update keeps crashing when I open my Liked Songs playlist. Please fix — I can't skip tracks either.",
  "thumbsUp": 143,
  "helpfulCount": 143,
  "reviewCreatedVersion": "8.9.44.575",
  "appVersion": "8.9.44.575",
  "reviewDate": "2026-07-09T14:22:05.000Z",
  "developerReplyText": "Hi Alex, thanks for the report! Please try updating to the latest version — we've shipped a fix for the crash.",
  "developerReplyDate": "2026-07-10T09:15:00.000Z",
  "sentiment": "negative",
  "url": "https://play.google.com/store/apps/details?id=com.spotify.music&reviewId=gp:AOqpTOFakeReviewId1234567890"
}

Values above are illustrative and formatted to show field shapes.

Integrations & automation

Because it runs on Apify, this Actor plugs into everything Apify supports — no glue code required:

Schedules — run the scraper on a recurring cron (hourly, daily, weekly) to keep a fresh feed of reviews for your apps and competitors.
Webhooks — trigger an HTTP callback when a run succeeds/fails so downstream systems react automatically.
Export to Google Sheets, Amazon S3, Google Drive, or a database — push new reviews to a spreadsheet or bucket after every run.
Zapier / Make / Pipedream — use the official Apify integrations to wire reviews into 6,000+ apps: append rows to a sheet, post to Slack, create tickets, enrich CRMs, and more.
apify-client (JS / Python) — embed review collection directly in your own app or data pipeline.
Dataset & API access — every run stores results in a dataset you can query, paginate, and re-export at any time.

See the Apify integrations docs for setup.

Export formats

Results can be downloaded or fetched via API in any of these formats:

CSV — open directly in Excel, Google Sheets, or Numbers.
JSON — for pipelines and apps.
JSONL — newline-delimited JSON for streaming / big-data tools.
Excel (XLSX) — spreadsheet-ready.
XML — for legacy systems and feeds.

Add &format=csv (or json, xlsx, xml) to any dataset API URL, or use the Export button in the Apify Console.

FAQ

How do I scrape App Store reviews?

Open the App Store & Google Play Reviews Scraper on Apify, set Store to app_store (or both), add the app's numeric Apple track ID to App IDs (or type a name in App search query), pick a country, and click Start. Export the results as CSV, JSON, or Excel. No Apple API key or account needed.

How do I scrape Google Play reviews?

Set Store to google_play (or both) and add the app's package name (e.g. com.spotify.music) to App IDs. Choose a country and language, set Max reviews, and run. You'll get ratings, review text, versions, developer replies, and sentiment.

Do I need an API key for the App Store or Google Play?

No. The Actor does not require any Google Play or Apple App Store API key. You only need a free Apify account to run it; from there it's point-and-click or one API call.

How do I export Google Play reviews to Excel?

Run the Actor, open the Dataset tab in the Apify Console, and click Export → Excel (XLSX). Via the API, append &format=xlsx to the dataset items URL. The file opens directly in Excel or Google Sheets.

How do I scrape iOS app reviews at scale?

Use store: "app_store" and add multiple App Store storefronts via the advanced appleCountries field (e.g. ["us","gb","ca","au","de"]). Each storefront exposes up to ~500 reviews per app, so sweeping several storefronts multiplies the total iOS reviews you collect. Raise maxReviews to pull more.

Is there a free app review scraper with no API key?

Yes — this Actor is free to try on Apify and needs no API key. Click Try for free; an empty input returns 1,000+ reviews so you can evaluate it before committing.

Can I scrape reviews for a specific app version?

Every review includes appVersion and reviewCreatedVersion. Scrape the reviews, then filter your exported CSV/JSON by version to isolate feedback for a particular release — great for QA and regression tracking.

How do I do sentiment analysis on app reviews?

Each review ships with a sentiment field (positive / neutral / negative) derived from the star rating, plus the full text. Use the built-in labels for quick charts, or feed the text into your own NLP model for deeper analysis.

How many reviews can I collect in one run?

Set Max reviews anywhere from 1 up to 200,000. Very large jobs are bounded by a time budget, and App Store volume scales with the number of storefronts you sweep. For maximum coverage, combine multiple apps, both stores, and several appleCountries.

How do I scrape competitor app reviews?

Add your competitors' package names and/or Apple track IDs to App IDs (you can mix stores and apps in one run), or search them by name with App search query. Run on a schedule to keep an always-fresh feed of competitor feedback.

Can I automate this on a schedule?

Yes. Use Apify Schedules to run the scraper on a cron, and Webhooks or Zapier / Make / Pipedream integrations to push new reviews into Google Sheets, Slack, a database, or your CRM automatically.

Related actors

Building an app-data pipeline? Pair this reviews scraper with:

Google Play Data API — app metadata, details, and listings from Google Play.
App Store Data API — app metadata, details, and listings from the Apple App Store.

📄 Documentation only — the Actor runs on Apify. ▶️ Run it: apify.com/logiover/app-reviews-scraper

Name		Name	Last commit message	Last commit date
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LICENSE		LICENSE
README.md		README.md

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Repository files navigation

App Store & Google Play Reviews Scraper

▶️ Run it on Apify

👉 apify.com/logiover/app-reviews-scraper

Table of contents

What you get

Use cases

Quick start (4 methods)

1. Apify Console — no code

2. Apify CLI

3. API / cURL

4. apify-client (JavaScript & Python)

Input

Output

Sample review item (JSON)

Integrations & automation

Export formats

FAQ

How do I scrape App Store reviews?

How do I scrape Google Play reviews?

Do I need an API key for the App Store or Google Play?

How do I export Google Play reviews to Excel?

How do I scrape iOS app reviews at scale?

Is there a free app review scraper with no API key?

Can I scrape reviews for a specific app version?

How do I do sentiment analysis on app reviews?

How many reviews can I collect in one run?

How do I scrape competitor app reviews?

Can I automate this on a schedule?

Related actors

About

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Contributors

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Repository files navigation

App Store & Google Play Reviews Scraper

▶️ Run it on Apify

👉 apify.com/logiover/app-reviews-scraper

Table of contents

What you get

Use cases

Quick start (4 methods)

1. Apify Console — no code

2. Apify CLI

3. API / cURL

4. apify-client (JavaScript & Python)

Input

Output

Sample review item (JSON)

Integrations & automation

Export formats

FAQ

How do I scrape App Store reviews?

How do I scrape Google Play reviews?

Do I need an API key for the App Store or Google Play?

How do I export Google Play reviews to Excel?

How do I scrape iOS app reviews at scale?

Is there a free app review scraper with no API key?

Can I scrape reviews for a specific app version?

How do I do sentiment analysis on app reviews?

How many reviews can I collect in one run?

How do I scrape competitor app reviews?

Can I automate this on a schedule?

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