No-code pipeline · Google Play Store → BigQuery

Send data from Google Play Store to BigQuery

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

Kondado replicates Google Play Store metrics including reviews, installs, crashes, ratings, subscriptions, and financial reports to BigQuery automatically on a user-configured schedule, enabling analysts to query app performance data using standard SQL without writing API code.

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Send Google Play Store Data to BigQuery

To send Google Play Store data to BigQuery, you need a direct connection that links your developer console to your data warehouse without manual exports. Kondado provides a no-code solution that replicates your app metrics, reviews, and financial data directly into BigQuery on a configurable schedule. You simply authenticate your Google Play Console account, select the specific pipelines you need, and define how often the data should refresh, from every five minutes to daily intervals.

Once your data lands in BigQuery, you can combine it with other marketing or product analytics to build comprehensive dashboards. Whether you are tracking user acquisition costs against subscription revenue or monitoring crash rates alongside user ratings, having structured Play Store data in your warehouse enables deeper analysis. You can also send this data to Power BI, Looker Studio, or Google Sheets for visualization.

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With the Reviews and Ratings pipelines, you can analyze user sentiment trends alongside app version releases to identify which updates drive satisfaction or frustration among your Android user base. The Estimated Sales Report and Earnings Report pipelines deliver granular transaction data that finance teams can reconcile with internal accounting systems, while the Installs and Crashes pipelines help product managers correlate acquisition campaigns with stability metrics. By querying this unified data in BigQuery, you create custom dashboards that track conversion from install to subscription, monitor daily crash rates against user growth, or segment revenue by product title without relying on the Play Console web interface.

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Replicated to BigQuery

Google Play Store data available for BigQuery

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

available pipelines

extractable fields

BigQuery

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 BigQuery →

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How to send Google Play Store data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Google Play Store Account

Authenticate your Google Play Store developer console through Kondado's interface by providing the necessary API credentials, which establishes the data source for replication.

Set Up BigQuery Destination

Configure your BigQuery project and dataset details in Kondado, specifying where the Play Store pipelines should write their data tables.

Choose Pipelines and Schedule

Select the specific pipelines you need, such as Reviews or Earnings Report, then define your update frequency to begin automated replication to BigQuery.

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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 BigQuery automatically

How do I connect Google Play Store to BigQuery using Kondado? ▼

You authenticate your Google Play Console account through Kondado's interface, then select BigQuery as your destination. After choosing which pipelines to enable, such as Reviews or Estimated Sales Report, you set your preferred update schedule and Kondado begins replicating data automatically.

What specific Google Play Store data can I replicate to BigQuery? ▼

Kondado offers seven pipelines covering Reviews with star ratings and text, Installs with daily user counts, Crashes with ANR data, Ratings averages, Subscriptions metrics, plus Estimated Sales and Earnings Reports with transaction details. This gives you 88 distinct fields covering user feedback, app stability, and revenue information.

How often does Kondado update Google Play Store data in BigQuery? ▼

You configure the replication frequency based on your business needs, choosing intervals from every five minutes to daily updates. This near-real-time approach ensures your BigQuery datasets reflect recent user activity without overwhelming your warehouse with unnecessary API calls.

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

Yes, once your Play Store data resides in BigQuery, you can join it with data from advertising platforms, CRM systems, or other mobile analytics tools. This enables you to calculate true customer acquisition costs by matching install data with ad spend, or correlate subscription revenue with user onboarding flows.

What format does Google Play Store data take when replicated to BigQuery? ▼

Each pipeline creates structured tables in your BigQuery dataset with standardized schemas, including proper date fields like review_submit_date_utc and order_charged_date_utc. The data arrives ready for SQL querying, allowing you to build custom reports or connect to visualization tools like Power BI and Looker Studio.

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

No coding is required to establish the connection or maintain the data flow, as Kondado handles the API authentication and schema management automatically. You simply select your pipelines and schedule through the visual interface, then access your data in BigQuery using standard SQL queries or your preferred analytics tool.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days