No-code pipeline · Google Play Store → Amazon S3

Send data from Google Play Store to Amazon S3

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From Google Play Store to Amazon S3: managed, scheduled, no code.

Kondado replicates Google Play Store data to Amazon S3 on a configurable schedule, offering seven pipelines including Reviews, Estimated Sales Report, Earnings Report, Installs, Crashes, Ratings, and Subscriptions, with 88 total fields available for analysis.

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Replicate Google Play Store Data to Amazon S3

Kondado provides a direct integration between Google Play Store and Amazon S3, enabling you to replicate app performance metrics and financial data automatically. Configure your data source with your Google Play Console credentials and set your preferred replication schedule, from every five minutes to daily intervals. The platform handles the extraction and loading process without requiring any coding or manual file downloads.

Once your data arrives in Amazon S3, you can query it directly using Amazon Athena, Presto, or Dremio for advanced analytics. This setup supports building custom dashboards in Power BI, Looker Studio, or BigQuery, enabling comprehensive visualization of your app store performance alongside other business data sources.

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The Reviews pipeline captures user feedback including star ratings and review text with submission timestamps, allowing you to analyze sentiment trends and identify feature requests directly from your S3 data lake. Combined with the Estimated Sales Report, which delivers transaction details like product titles and pricing information, you can correlate revenue patterns with user satisfaction metrics. The Installs pipeline provides daily installation and uninstallation events, enabling cohort analysis and churn prediction when joined with subscription data in your Amazon S3 environment.

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Replicated to Amazon S3

Google Play Store data available for Amazon S3

Tables Kondado writes into your Amazon S3, on a schedule you control.

available pipelines

extractable fields

Amazon S3

Destination

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 → Send Google Play Store to Amazon S3 →

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How to send Google Play Store data to Amazon S3

Sync data automatically — no code, no manual exports.

Connect Google Play Store Data Source

Authenticate your Google Play Store account by providing your Google Play Console credentials to establish the initial connection. Select the specific pipelines you want to replicate, such as Reviews, Sales Reports, or Installs.

Configure Amazon S3 Destination

Set up your Amazon S3 bucket as the destination, specifying the file format and folder structure for your replicated data. This configuration enables seamless querying with Athena, Presto, or Dremio once the data arrives.

Select Pipelines and Schedule Updates

Choose from the seven available pipelines including Estimated Sales Report, Earnings Report, and Subscriptions, then set your preferred update frequency. Options range from every five minutes for near-real-time analytics to daily batches for historical trend analysis.

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Send data from Google Play Store to other destinations

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)

Answers about sending Google Play Store data to Amazon S3 automatically

How often can I update Google Play Store data in Amazon S3? ▼

You can configure updates to run every five minutes, fifteen minutes, hourly, or daily depending on your analytics needs. This flexible scheduling ensures your Amazon S3 bucket contains current information without overwhelming your storage with unnecessary API calls.

What file format does the Google Play Store data use in Amazon S3? ▼

Data arrives in structured formats optimized for analytical querying, typically Parquet or CSV, ready for immediate use with Amazon Athena or Presto. This format choice supports efficient storage and fast query performance when analyzing your app metrics.

Can I combine Google Play Store data with other marketing sources in Amazon S3? ▼

Yes, you can replicate data from multiple sources into the same Amazon S3 bucket or data lake, creating unified datasets for comprehensive analysis. Combine your app store metrics with advertising data alongside other sources to build complete customer journey reports in Power BI or Looker Studio.

Which app performance metrics are available through the Google Play Store pipelines? ▼

The available pipelines include Reviews with star ratings and text, Estimated Sales Report with transaction details, Earnings Report with merchant currency amounts, Installs with daily user statistics, Crashes with daily ANR data, Ratings with average scores, and Subscriptions with active and cancelled counts.

Do I need coding skills to connect Google Play Store to Amazon S3? ▼

No coding is required, you simply authenticate with your Google Play Console credentials and select the pipelines you want to replicate. The platform manages the data extraction and loading process automatically after you configure your connection settings.

How can I visualize the data once it is stored in Amazon S3? ▼

Query your S3 data directly using Amazon Athena, then connect the results to Power BI, Looker Studio, or BigQuery for custom dashboard creation. You can also use the data with PostgreSQL or other analytics tools that connect to Amazon S3 storage.

Is it possible to send Google Play Store data to multiple destinations simultaneously? ▼

Yes, you can configure additional destinations beyond Amazon S3, such as sending the same data to Google Sheets for quick sharing or BigQuery for data warehousing. This multi-destination approach ensures different teams can access the metrics in their preferred tools without creating separate extraction processes.

Try out all the features for free for 14 days

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Try out all the features for free for 14 days