Google Play App Reviews & Ratings Scraper

Here is one real result, with every field the actor returns:

{
  "userImage": "https://play-lh.googleusercontent.com/a-/ALV-UjUp1ULx5a-VcWxpTlyBOrjfuQx3OR5Ey88Z5JgSxeNadMGh3rc",
  "userName": "Marjorie Nimfa Manto Cordova",
  "rating": 5,
  "text": "I love this app because I relax my mind to using",
  "thumbsUp": 0,
  "reviewCreatedAt": "2026-08-13T08:14:51.000Z",
  "appVersion": "6.92.4",
  "replyText": null,
  "replyAt": null,
  "appId": "com.duolingo",
  "reviewId": "a8270e8c-1079-4dba-be10-92ceac12e297",
  "url": "https://play.google.com/store/apps/details?id=com.duolingo&hl=en&gl=US",
  "observedAt": "2026-08-14T08:15:48.664Z",
  "error": null,
  "aiSentiment": "positive",
  "aiSentimentScore": 0.9,
  "aiTopics": ["relaxation", "user experience", "mindfulness"]
}

The most complete Google Play reviews scraper available. It returns every field a review exposes (reviewer, star rating, full text, thumbs-up count, app version and developer reply), lets you filter by star rating and date and sort by newest, rating or helpfulness, and adds optional AI sentiment and topic tags, so you can analyze app feedback without extra parsing.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor collects reviews for each Android app you list (by package name or Google Play URL) in the store region and language you set, applies your star-rating and date filters, sorts by newest, rating or helpfulness, and writes one normalized record per review to the run's dataset. Each record carries the reviewer, rating, full text, thumbs-up count, the app version reviewed, and the developer's reply when present. Missing source values are returned as null, never invented.

Two optional AI add-ons run only on paid Apify plans and only charge when they produce output: aiSentiment classifies each review with a score, and aiTopics extracts the concrete aspects the review is about (crashes, pricing, ads, UI, support).

Quickstart

Open the actor, paste this into the input, and press Run. It returns the 5 newest Duolingo reviews with AI sentiment and topics.

{
  "appIds": ["com.duolingo"],
  "maxReviews": 5,
  "sort": "newest",
  "country": "US",
  "language": "en",
  "withAiSentiment": true,
  "withAiTopics": true
}

Pass several package names in appIds, or paste full Google Play URLs into appUrls. Add ratings (for example ["1","2"]) to keep only certain star levels.

Input reference

Field	Type	Required	Default	Description
appIds	string[]	no	["com.whatsapp","com.spotify.music"]	Android package names to scrape, for example com.duolingo. Reviews are collected for each app up to maxReviews.
appUrls	string[]	no	(empty)	Full Google Play app URLs. The package name is extracted automatically and merged with appIds.
maxReviews	integer	no	10	Maximum reviews to collect per app.
ratings	string[]	no	(all)	Keep only reviews with these star ratings, 1 to 5. Leave empty for all.
reviewsFromDate	string	no	(empty)	Only reviews on or after this date (YYYY-MM-DD). With Newest sort, pagination stops early once older reviews are reached.
reviewsToDate	string	no	(empty)	Only reviews on or before this date (YYYY-MM-DD).
sort	enum	no	newest	Order of reviews. One of newest, rating (highest first), helpfulness (most upvoted first).
country	string	no	US	Two-letter store region code (gl). Affects which reviews are returned.
language	string	no	en	Two-letter language code (hl) for the store region and review interface.
withAiSentiment	boolean	no	false	Paid add-on. Classify each review positive, neutral or negative with a score. Requires a paid plan.
withAiTopics	boolean	no	false	Paid add-on. Extract the concrete topics or aspects each review is about. Requires a paid plan.

Output reference

One dataset item per review. Types: string, number, string[], or null when the source value is absent.

Field	Type	Description
userImage	string	Reviewer avatar image URL.
userName	string	Reviewer display name.
rating	number	Star rating this reviewer gave, 1 to 5.
text	string	Full review text, or null if none.
thumbsUp	number	Number of thumbs-up (helpful) votes on the review.
reviewCreatedAt	string	ISO 8601 timestamp when the review was posted.
appVersion	string	App version the review was written against, or null.
replyText	string	Developer reply text, or null if none.
replyAt	string	ISO 8601 timestamp of the developer reply, or null.
appId	string	Android package name of the app.
reviewId	string	Stable unique ID of the review.
url	string	Google Play URL of the app for this store region.
aiSentiment	string	AI sentiment positive, neutral or negative (add-on), else absent.
aiSentimentScore	number	AI sentiment score (add-on), else absent.
aiTopics	string[]	AI-extracted topics or aspects (add-on), else absent.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed run, a single item with a populated error field is written instead.

Example output record

Real record from a live run (input {"appIds":["com.duolingo"],"maxReviews":5,"sort":"newest","withAiSentiment":true,"withAiTopics":true}):

{
  "userImage": "https://play-lh.googleusercontent.com/a-/ALV-UjUp1ULx5a-VcWxpTlyBOrjfuQx3OR5Ey88Z5JgSxeNadMGh3rc",
  "userName": "Marjorie Nimfa Manto Cordova",
  "rating": 5,
  "text": "I love this app because I relax my mind to using",
  "thumbsUp": 0,
  "reviewCreatedAt": "2026-08-13T08:14:51.000Z",
  "appVersion": "6.92.4",
  "replyText": null,
  "replyAt": null,
  "appId": "com.duolingo",
  "reviewId": "a8270e8c-1079-4dba-be10-92ceac12e297",
  "url": "https://play.google.com/store/apps/details?id=com.duolingo&hl=en&gl=US",
  "aiSentiment": "positive",
  "aiSentimentScore": 0.9,
  "aiTopics": ["relaxation", "user experience", "mindfulness"],
  "observedAt": "2026-08-14T08:15:48.664Z",
  "error": null
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~google-play-reviews-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"appIds":["com.duolingo"],"maxReviews":25,"sort":"newest"}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~google-play-reviews-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"appIds":["com.whatsapp","com.spotify.music"],"maxReviews":200,"ratings":["1","2"]}'

Apify CLI:

apify call scrapers_lat/google-play-reviews-scraper \
  --input '{"appUrls":["https://play.google.com/store/apps/details?id=com.duolingo"],"maxReviews":50}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per review returned (result event). See the pricing tab for the current per-result price.
• Add-ons. The AI sentiment and AI topics add-ons are priced separately and charge only when they produce output on a review that has text.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 reviews per app per run. Upgrade for higher maxReviews.

FAQ and troubleshooting

A run returned 0 reviews. Why? The package name or URL was wrong, or filters matched nothing in that store region. Check appIds, loosen ratings and the date range, or change country and language. Zero-result runs are not charged.

How do I collect only negative reviews? Set ratings to ["1","2"]. Combine with sort: "newest" to track recent complaints.

Why is replyText null? The developer has not replied to that review. Replies are included when present; missing values stay null.

Can I limit to reviews since a date? Yes. Set reviewsFromDate (and optionally reviewsToDate). With Newest sort, pagination stops early once older reviews are reached.

Why did the AI fields not appear? The AI add-ons require a paid Apify plan and are off by default. Enable withAiSentiment or withAiTopics on a paid plan. They charge only when output is produced.

Is this an official Google tool? No. This actor is independent and not affiliated with Google or Google Play. It reads only publicly available app reviews.

Related scrapers

• Google Play Apps Scraper: App listings and metadata from Google Play.
• App Store Reviews Scraper: Reviews from the Apple App Store.
• Google Maps Reviews Scraper: Reviews for any Google Maps place.
• Amazon Reviews Scraper: Product reviews from Amazon.
• Huawei AppGallery Scraper: App listings from Huawei AppGallery.

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Independent tool, not affiliated with Google or Google Play. Accesses only publicly available app reviews.