Google Playstore Review Scraper
Pricing
from $0.00005 / actor start
Google Playstore Review Scraper
Extracts Google Play store app reviews with ratings, reviewer details, text, dates, helpful votes, app versions, filters, and pagination.
Pricing
from $0.00005 / actor start
Rating
0.0
(0)
Developer
Girma Wakeyo
Maintained by CommunityActor stats
0
Bookmarked
28
Total users
4
Monthly active users
4 months ago
Last modified
Categories
Features
Share
Fast, no-browser Google Play Store review extractor. Scrapes reviews directly from Google Play's internal API β no browser overhead, no Selenium, no Playwright.
Features
- β‘ Blazing fast β HTTP-based extraction, no browser needed
- π Pagination β scrape from any start page, control pages and reviews per page
- π’ Sorting β most relevant, newest, or by rating
- β Rating filters β filter by individual rating or multiple ratings
- π Keyword search β only keep reviews containing specific keywords
- π Language & country β filter by review language and Google Play country
- π Date range β filter by end date or recent N days
- π± App version β filter by specific app versions
- π Duplicate removal β auto-deduplicates by review ID
- π Auto-retry β retries on network failures with exponential backoff
- π° Free-user quota β built-in limits for non-paying Apify users (5 runs / 500 reviews)
Input
Required
| Field | Type | Description |
|---|---|---|
appIdOrUrl | string | App package name (e.g. com.supercell.brawlstars) or full Google Play URL |
Optional
| Field | Type | Default | Description |
|---|---|---|---|
deviceType | enum | mobile | mobile, tablet, or chromebook |
sortBy | enum | mostRelevant | mostRelevant, newest, or rating |
rating | int | β | Fetch reviews with a specific rating (1β5) |
startPage | int | 1 | Page to start scraping from |
pagesToScrape | int | 5 | Max pages (-1 for all available) |
reviewsPerPage | int | 100 | Reviews per request (10β200) |
maxReviews | int | 10000 | Max reviews to save (-1 for unlimited) |
ratingFilter | array | [1,2,3,4,5] | Only keep reviews with these ratings |
language | array | β | Language code filter e.g. ["en", "fr"] |
keywords | array | β | Only keep reviews containing these keywords |
endDate | string | β | Only reviews up to this date (YYYY-MM-DD) |
recentDays | int | 0 | Only reviews from last N days (0 = no limit) |
uniqueOnly | bool | true | Remove duplicate reviews by ID |
appVersion | array | β | Only reviews from these app versions |
country | string | us | Two-letter Google Play country code |
Example Inputs
Basic β scrape 10 newest reviews:
{"appIdOrUrl": "com.zhiliaoapp.musically.go","maxReviews": 10,"sortBy": "newest"}
Targeted β 4-5 star reviews with keywords, last 30 days:
{"appIdOrUrl": "com.supercell.brawlstars","ratingFilter": [4, 5],"keywords": ["great", "amazing", "fun"],"recentDays": 30,"maxReviews": 100,"sortBy": "newest"}
Output
Each dataset item contains the following fields:
| Field | Type | Description |
|---|---|---|
reviewId | string | Unique review identifier |
rating | int | Star rating (1β5) |
reviewer | string | Reviewer's display name |
date | string | Review date in YYYY-MM-DD format |
reviewedIn | string | Language context of the review |
body | string | Full review text |
userImage | string | Reviewer's profile image URL |
position | int | Order in the scraped result stream |
helpfulCounts | int | Number of helpful votes |
appId | string | Google Play package name |
appVersion | string | App version at time of review |
timestamp | int | Unix timestamp of the review |
language | string | Language code |
Sample Output
{"reviewId": "c7d3429c-e617-40a7-8ca6-77ce3b1b3c8b","rating": 5,"reviewer": "MarQOSH Hadeboh","date": "2026-06-23","reviewedIn": "en","body": "Markos Hadeboh","userImage": "https://play-lh.googleusercontent.com/a/ACg8ocKZTR6dtvDXiNUjvhou3xLYabf7R_WRzYcKZInlur1PSLIL=mo","position": 1,"helpfulCounts": 0,"appId": "com.zhiliaoapp.musically.go","appVersion": "44.3.2","timestamp": 1782240282,"language": "en"}
Local Development
# Create and activate virtual environmentpython -m venv .venvsource .venv/bin/activate# Install dependenciespip install -r requirements.txt# Run the Actor locallyapify run
Syntax check
$python -m compileall -q my_actor/
Deploy to Apify
apify loginapify push
Pricing
This Actor uses pay-per-event pricing:
- Actor start: $0.00005 per run
- Result: $0.01 per 1,000 reviews scraped
Platform usage (compute, memory) is free.