📱 Google Play Reviews Scraper & App Intelligence Tool

A powerful Apify Actor for scraping Google Play Store apps and user reviews at scale.

Extract structured app data, reviews, ratings, and metadata for:

• 📊 sentiment analysis
• 🤖 AI / LLM training datasets
• 🧠 market & competitor research
• 🐞 user feedback mining

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🚀 Features

• 🔍 Search apps by keyword (e.g. vpn, chatgpt, finance)
• ⭐ Extract user reviews with full metadata
• 🎯 Filter by rating (1–5 stars)
• 🌍 Language & country targeting
• 🔁 Deduplicate reviews (optional)
• 📅 Filter by recency (last N days)
• 🧠 AI-ready structured output
• ⚡ Scalable multi-app scraping

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📦 Input Parameters

Field	Type	Description
term	string	Search keyword for Google Play apps
maxItems	integer	Maximum number of reviews to collect
appsLimit	integer	Number of apps to scan from search results
reviewsPerApp	integer	Max reviews per app
sort	string	Sorting: newest, rating, helpfulness
country	string	Country code (e.g. us, gb, de)
language	string	Language code (e.g. en, hr)
uniqueOnly	boolean	Remove duplicate reviews
ratingFilter	integer	Exact rating filter (1–5, 0 = all)
keywords	array	Only include reviews containing keywords
recentDays	integer	Only reviews from last N days (0 = off)

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🧪 Example Inputs

🔹 Basic scraping

{
  "term": "vpn",
  "maxItems": 50,
  "appsLimit": 5,
  "reviewsPerApp": 100,
  "sort": "newest",
  "country": "us",
  "language": "en",
  "uniqueOnly": true,
  "ratingFilter": 0,
  "keywords": [],
  "recentDays": 0
}

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🔹 1-star complaint mining (bug & negative feedback)

{
  "term": "vpn",
  "maxItems": 100,
  "appsLimit": 10,
  "reviewsPerApp": 200,
  "sort": "newest",
  "country": "us",
  "language": "en",
  "uniqueOnly": true,
  "ratingFilter": 1,
  "keywords": [],
  "recentDays": 0
}

---

🔹 Keyword-based sentiment dataset

{
  "term": "chatgpt",
  "maxItems": 200,
  "appsLimit": 10,
  "reviewsPerApp": 200,
  "sort": "helpfulness",
  "country": "us",
  "language": "en",
  "uniqueOnly": true,
  "ratingFilter": 0,
  "keywords": ["bug", "crash", "slow", "amazing"],
  "recentDays": 30
}

---

📤 Output Format

Each dataset item returns structured app + review intelligence data:

{
  "type": "review",
  "appTitle": "VPN - Super Unlimited Proxy",
  "appId": "com.free.vpn.super.hotspot.open",
  "appUrl": "https://play.google.com/store/apps/details?id=com.free.vpn.super.hotspot.open",
  "developer": "VPN Super Inc",
  "summary": "Fast secure VPN service",
  "appScore": 4.7,
  "installs": "100,000,000+",

  "reviewId": "abc123",
  "user": "John Doe",
  "rating": 1,
  "text": "App keeps crashing",
  "date": "2026-05-01T00:00:00Z",
  "thumbsUp": 3,
  "version": "2.1.0",

  "language": "en",
  "country": "us",
  "source": "google-play-scraper"
}

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🎯 Use Cases

• 📊 Sentiment analysis datasets
• 🤖 AI training (LLM fine-tuning)
• 🧠 App market intelligence
• 🏆 Competitor analysis
• 🐞 Bug & complaint mining
• 📈 Product research

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⚙️ How it works

1. Search Google Play apps by keyword (term)

2. Select top apps (appsLimit)

3. Extract reviews per app (reviewsPerApp)

4. Apply filters:

   • rating
   • keywords
   • date range
   • duplicates

5. Return structured dataset

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🧠 Optimization Tips

For best results:

• Use reviewsPerApp >= 100
• Combine multiple appsLimit
• Use recentDays = 30 for fresh data
• Use keywords for niche insights
• Use ratingFilter = 1 for complaint mining

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⚠️ Notes

• Google Play does not expose full review history
• Pagination improves coverage but is still limited
• Some reviews vary by region/language