Google Play Reviews Scraper
Pricing
from $0.10 / 1,000 results
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Google Play Reviews Scraper
Extract user reviews from any Android app on Google Play Store. Get review text, ratings, timestamps, user info, and developer replies. Supports filtering by star rating, sorting, and multiple languages.
Pricing
from $0.10 / 1,000 results
Rating
0.0
(0)
Developer
Alam
Maintained by Community
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Scrape user reviews from any app on Google Play Store. Extract review text, ratings, user info, developer replies, and more — at scale.
Features
- Batch processing — scrape reviews for multiple apps in a single run
- Sort options — by newest, rating, or helpfulness
- Score filtering — only get reviews within a rating range (e.g., 1-3 stars)
- Multi-language — supports all Google Play languages and countries
- Developer replies — captures official developer responses when present
- Fast & cheap — pure HTTP, no browser overhead
Input
| Field | Type | Default | Description |
|---|---|---|---|
appIds | array | (required) | Google Play app IDs (e.g., com.whatsapp) |
maxReviews | integer | 100 | Maximum reviews per app |
sort | string | "newest" | Sort order: newest, rating, helpfulness |
minScore | integer | 1 | Minimum rating filter (1-5) |
maxScore | integer | 5 | Maximum rating filter (1-5) |
language | string | "en" | Language code (e.g., en, es, de) |
country | string | "us" | Country code (e.g., us, de, br) |
Output
Each review contains:
| Field | Description |
|---|---|
reviewId | Unique review identifier |
appId | App package name |
userName | Reviewer's display name |
userAvatar | Reviewer's avatar URL |
score | Rating (1-5) |
text | Review text |
timestamp | ISO 8601 date |
thumbsUpCount | Number of helpful votes |
replyText | Developer reply (if any) |
replyDate | Developer reply date |
appVersion | App version reviewed |
url | Direct link to review |
Use Cases
- App monitoring — track what users are saying about your apps
- Competitor analysis — analyze review trends for competing apps
- Sentiment analysis — feed review data into NLP pipelines
- Market research — discover feature requests and pain points
- Customer support — identify negative reviews needing responses
Tips
- Use
helpfulnesssort to get the most impactful reviews first - Filter by
minScore: 1, maxScore: 3to focus on negative feedback - Set
maxReviews: 500+for thorough analysis of popular apps - Combine with language/country filters for localized insights