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Send Google Play Store data to AI, reports, spreadsheets and ETL

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Google Play Store

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Access comprehensive Google Play Store data to analyze app performance, user sentiment, and revenue metrics outside the Google Play Console. Kondado connects to the Google Play Store API to extract detailed information from reviews, sales transactions, install statistics, and crash reports directly into your preferred analytics environment. Whether you need to track daily user installs, monitor subscription churn, or analyze star ratings over time, you can replicate this valuable data on a configurable schedule.

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Kondado offers a direct integration with Google Play Store featuring 7 pipelines and 88 fields, including Reviews with star ratings and review text, Estimated Sales Reports with transaction details, Earnings Reports with merchant currency amounts, Installs data with daily user metrics, Crashes analytics with ANR tracking, Ratings summaries with average scores, and Subscriptions data with active and cancelled counts.

Marketing teams can analyze review sentiment and rating trends to optimize app store optimization strategies and improve user acquisition campaigns. Data analysts benefit from consolidated earnings and sales data to build financial forecasts and track revenue per product. Operations teams monitor crash rates and install statistics to ensure app stability and measure growth KPIs, enabling data-driven decisions that improve user experience and monetization performance.

The Kondado platform takes care of refreshing Google Play Store data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Google Play Store data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

Try out all the features for free for 14 days

Available Google Play Store Pipelines

The following pipelines deliver specific Google Play Store metrics directly to your data warehouse or BI tool. The Reviews pipeline captures user feedback including star ratings and review text to analyze sentiment trends, while the Installs pipeline tracks daily user installs and uninstall events to measure growth velocity. The Estimated Sales Report and Earnings Report pipelines provide transaction-level financial data including item prices and merchant currency amounts for revenue analysis. The Subscriptions pipeline monitors new subscriptions, cancellations, and active counts to calculate churn rates and lifetime value. By cross-referencing Crashes data with Ratings trends, you can identify how technical issues impact user satisfaction, or correlate install spikes with review sentiment changes to measure marketing campaign effectiveness. With automated updates running on a configurable schedule from every 5 minutes to daily, you can monitor these KPIs continuously without manual exports from the Google Play Console.

FAQ

Connector schema

Available Google Play Store data

available pipelines

extractable fields

Available integrations

Reviews

Contains information about reviews, including package_name, star_rating, and review_text, along with dates like review_submit_date_utc.

Estimated Sales Report

Presents data on sales, such as product_title, item_price, and order_charged_date_utc, along with buyer state information.

Earnings Report

Includes information on transactions, such as product_title, amount_merchant_currency, and transaction_date, along with transaction type details.

Installs

Provides data on installs, including daily_user_installs, total_user_installs, and uninstall_events, along with date information.

Crashes

Presents data on crashes, such as daily_crashes and daily_anrs, along with date information and package_name.

Ratings

Contains information about ratings, including daily_average_rating, total_average_rating, and package_name, along with date data.

Subscriptions

Provides data on subscriptions, including new_subscriptions, cancelled_subscriptions, and active_subscriptions, along with date information and product_id.

See all available data → Use this connector in chat (AI + MCP) →

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How to visualize Google Play Store data in 3 steps

Connect Google Play Store to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, or databases — no code required.

Add Google Play Store data source

Connect your Google Play Store account to Kondado by authenticating with your Google credentials and selecting this data source from our catalog.

Select pipelines and destination

Choose which of the 7 pipelines to replicate, such as Reviews, Installs, or Earnings Reports, and send your data to Power BI, Looker Studio, Google Sheets, BigQuery, PostgreSQL, or other supported destinations.

Visualize and analyze your data

Build custom dashboards in Looker Studio or Power BI, analyze metrics in Google Sheets or Excel, or query structured tables in BigQuery, PostgreSQL, MySQL, Redshift, or SQL Server to gain insights into app performance.

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Pick an AI, Spreadsheet, Database, Data Warehouse or Data Lake to use Google Play Store data

Google Play Store > AI (Claude, ChatGPT, MCP)

Google Play Store > Looker Studio

Google Play Store > Power BI

Other visualizations

Google Play Store > Amazon S3

Google Play Store > BigQuery

Google Play Store > Excel

Google Play Store > Google Sheets

Google Play Store > MySQL

Google Play Store > PostgreSQL

Google Play Store > Redshift

Google Play Store > SQL Server

Choose a tool to visualize your Google Play Store data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Google Play Store > Airtable

Google Play Store > Alteryx

Google Play Store > Amazon Quicksight

Google Play Store > BIMachine

Google Play Store > Cortex

Google Play Store > Data Studio

Google Play Store > Geckoboard

Google Play Store > Grafana

Google Play Store > IBM Cognos Analytics

Google Play Store > Klipfolio

Google Play Store > Looker Studio

Google Play Store > Looker

Google Play Store > Looqbox

Google Play Store > Metabase

Google Play Store > Microstrategy

Google Play Store > Pentaho

Google Play Store > Power BI

Google Play Store > Qlik Cloud Analytics

Google Play Store > Qlik Sense

Google Play Store > Qlik

Google Play Store > QlikView

Google Play Store > Redash

Google Play Store > Superset

Google Play Store > Tableau

Google Play Store > BI TOTVS

Google Play Store > Zoho Analytics

Frequently Asked Questions (FAQ)

Find answers to common questions about connecting Google Play Store to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, and databases

What specific data can I extract from Google Play Store using Kondado? ▼

You can extract data from 7 pipelines including Reviews with star ratings and review text, Estimated Sales Reports with product titles and order dates, and Earnings Reports with transaction amounts. The Installs pipeline provides daily user metrics while Crashes tracks daily ANR counts. Additionally, Ratings offers average scores and Subscriptions includes active and cancelled counts across 88 total fields.

How do I connect Google Play Store to Power BI or Looker Studio? ▼

After adding Google Play Store as a data source, select your desired pipelines and choose your destination. You can send data directly to Power BI, Looker Studio, BigQuery, or PostgreSQL to create custom dashboards and reports.

What Google Play Store analytics can I build with this data? ▼

You can build comprehensive Google Play Store analytics including cohort analysis of subscription retention and correlation studies between crash rates and rating declines. Create revenue forecasting models based on earnings trends and perform sentiment analysis of user reviews to identify feature requests and pain points.

How often does Kondado update Google Play Store data? ▼

Kondado updates Google Play Store data on a configurable schedule that you control, ranging from every 5 minutes for near-real-time monitoring to daily updates for standard reporting needs. This ensures your dashboards reflect current performance without requiring manual exports from the Google Play Console.

Can I analyze Google Play Store reviews and ratings together? ▼

Yes, by combining the Reviews pipeline containing review text and star ratings with the Ratings pipeline showing daily average scores, you can analyze how individual reviews impact overall app ratings over time. This cross-analysis helps identify specific feedback themes that drive rating changes and user satisfaction trends.

Which databases support Google Play Store data replication? ▼

You can replicate Google Play Store data to BigQuery, PostgreSQL, MySQL, Redshift, SQL Server, Amazon S3, and other supported destinations. This enables analysis in your existing data infrastructure without migrating to new systems.

Do I need coding skills to replicate Google Play Store data? ▼

No coding is required to set up the connection. Kondado provides a no-code interface where you authenticate with your Google Play Store credentials, select from the 7 available pipelines, and choose your destination, with data flowing automatically on your chosen schedule. ### How to Connect Google Play Store

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