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Google Play Scraper

Pricing

from $0.01 / 1,000 results

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Google Play Scraper

Google Play Scraper

Extract data from thousands of Google Play Store apps and user reviews, including app metadata, descriptions, developer details, category rankings, install counts, and ratings. Capture detailed user feedback including reviewer names, scores, and helpfulness counts across any language or country.

Pricing

from $0.01 / 1,000 results

Rating

5.0

(1)

Developer

Apilab

Apilab

Maintained by Community

Actor stats

0

Bookmarked

6

Total users

3

Monthly active users

14 days ago

Last modified

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📱 Google Play Scraper: All-in-One App & Review Extractor

Get comprehensive data from the Google Play Store in seconds. This Actor allows you to extract detailed App Metadata (ratings, installs, developer info) and User Reviews with customizable sorting and limits.

✨ Key Features

  • Full Metadata Extraction: Get everything from descriptions and category rankings to install counts and version history.

  • Deep Review Scraping: Extract thousands of reviews per app to understand user sentiment.

  • Customizable Localization: Scrape data as seen in specific countries and languages.

  • Smart Sorting: Filter reviews by "Helpfulness" or "Newest" to find the most relevant feedback.

  • Visual Assets: Scrape icons, header images, and full-resolution screenshots.

🛠 How to Use

  1. App ID: Enter the unique Google Play ID (e.g., com.spotify.music or com.whatsapp).

  2. Localization: Select your target Language and Country to see localized pricing and descriptions.

  3. Review Settings: - Toggle Include Reviews to "On" if you need user feedback.

    • Set the Sort Order (e.g., Helpfulness) and the Number of Reviews you wish to collect.
  4. Run & Export: Click "Start." Once finished, download your data in JSON, CSV, or Excel.

📥 Input Parameters

{
"appId": "com.spotify.music",
"country": "in",
"includeReviews": true,
"lang": "en",
"reviewsNum": 1000,
"reviewsSort": "helpfulness"
}

📊 Output Data Structure

The Actor outputs a clean, structured dataset. You will receive two types of objects: app (metadata) and review (user feedback).

App Metadata Example:

JSON

{
"type": "app",
"appId": "com.spotify.music",
"title": "Spotify: Music and Podcasts",
"developer": "Spotify AB",
"genre": "Music & Audio",
"installs": "1,000,000,000+",
"score": 4.12,
"priceText": "Free",
"released": "Feb 26, 2019"
}

Review Example:

JSON

{
"type": "review",
"userName": "Priya Ghosh",
"date": "2025-08-29T17:08:00.483Z",
"score": 1,
"text": "Constant popups for premium, can’t skip without long ads...",
"thumbsUp": 35966,
"version": "9.0.74.1121"
}

💡 Why use this Actor?

  • ASO Research: Monitor how your competitors update their descriptions and what keywords they use.

  • Sentiment Analysis: Export hundreds of 1-star and 5-star reviews to analyze what users love or hate about an app.

  • Price Monitoring: Track app pricing and in-app purchase availability across different countries.

  • Lead Gen for Devs: Identify developers with high-traffic apps for partnership opportunities.