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URL: https://apify.com/sync-network/google-play-reviews-scraper

โ‡ฑ Google Play Reviews Scraper ยท Apify


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

๐Ÿ‘ Alam

Alam

Maintained by Community

Actor stats

0

Bookmarked

5

Total users

1

Monthly active users

a month 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 โ€” at scale.

Features

  • Batch processing โ€” scrape reviews for multiple apps in a single run
  • Sort options โ€” by newest, rating, or helpfulness
  • Score filtering โ€” only get reviews within a rating range (e.g., 1-3 stars)
  • Multi-language โ€” supports all Google Play languages and countries
  • Developer replies โ€” captures official developer responses when present
  • Fast & cheap โ€” pure HTTP, no browser overhead

Input

FieldTypeDefaultDescription
appIdsarray(required)Google Play app IDs (e.g., com.whatsapp)
maxReviewsinteger100Maximum reviews per app
sortstring"newest"Sort order: newest, rating, helpfulness
minScoreinteger1Minimum rating filter (1-5)
maxScoreinteger5Maximum rating filter (1-5)
languagestring"en"Language code (e.g., en, es, de)
countrystring"us"Country code (e.g., us, de, br)

Output

Each review contains:

FieldDescription
reviewIdUnique review identifier
appIdApp package name
userNameReviewer's display name
userAvatarReviewer's avatar URL
scoreRating (1-5)
textReview text
timestampISO 8601 date
thumbsUpCountNumber of helpful votes
replyTextDeveloper reply (if any)
replyDateDeveloper reply date
appVersionApp version reviewed
urlDirect link to review

Use Cases

  • App monitoring โ€” track what users are saying about your apps
  • Competitor analysis โ€” analyze review trends for competing apps
  • Sentiment analysis โ€” feed review data into NLP pipelines
  • Market research โ€” discover feature requests and pain points
  • Customer support โ€” identify negative reviews needing responses

Tips

  • Use helpfulness sort to get the most impactful reviews first
  • Filter by minScore: 1, maxScore: 3 to focus on negative feedback
  • Set maxReviews: 500+ for thorough analysis of popular apps
  • Combine with language/country filters for localized insights

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