
One-click extraction of core data from Google Play apps, including app name, developer, rating, downloads and reviews. Supports CSV/JSON export. Anti-blocking technology ensures stable scraping with no coding required for one-click structured data export.
Google Play Scraper is an automated data extraction tool specifically designed to batch collect app name, developer, rating, download count, review content and other data from public Google Play Store via app URLs. Using CoreClaw, you can obtain structured data without code, helping market research, competitor analysis and product optimization.
| 📱 App Name and Developer | ⭐ User Rating and Review Count |
| 📥 Download Count Range | 🏷️ App Category and Tags |
| 📝 Complete Review Content | 🌟 Five-Star Review List |
| 🔢 Star Rating Distribution | 💰 Monetization Features and Business Model |
| 🖼️ App Icon and Screenshots | 🔒 Data Security Statement |
| 📋 Update Log and Version | 💻 Minimum System Requirements |
CoreClaw Google Play Scraper handles proxy rotation, task scheduling, data standardization and final delivery in the background for you. In just a few minutes, you can get data through the following steps:
Input the Google Play app detail page links you want to scrape. You can add single app links or batch add multiple links.
Example: https://play.google.com/store/apps/details?id=com.linkedin.android
Country/Region: Optional, select the target market's corresponding country/region.

For easy viewing, output results are displayed in table and tab formats. You can choose to download results in CSV/JSON format. Below is an example of app information data scraped using URLs:

This tool can comprehensively crawl publicly available information for apps in the Google Play Store, including basic app details such as app name, developer, icon, category tags, content rating, download count, etc.
We are committed to providing a user-friendly interface so that non-technical users can also easily achieve data crawling. At the same time, we are also considering providing API interfaces for developers to facilitate integration into their own data analysis workflows.
This tool is built with intelligent request management functionality, controlling request frequency and simulating real user behavior to crawl data as compliantly as possible, reducing the risk of IP being blocked. However, users are still responsible for compliant use.
This tool will support multiple mainstream data formats, such as CSV and JSON.