No-code pipeline · Google Play Store → MySQL

Send data from Google Play Store to MySQL

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

Kondado connects to the Google Play Store API and replicates data to MySQL on a configurable schedule, supporting seven distinct pipelines including Reviews, Installs, Crashes, and Subscriptions with 88 total fields available for analysis.

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Replicate Google Play Store Data to MySQL

Replicating your Google Play Store data to MySQL requires no coding or complex configuration. Kondado provides a direct integration that automatically extracts your app metrics, user reviews, and financial reports from Google’s platform and loads them into your MySQL database. You configure the connection once, select which data pipelines you need, and set your preferred update frequency from every five minutes to daily intervals.

Once your data arrives in MySQL, you can combine it with information from other sources to build comprehensive analytics workflows. Join your app performance metrics with advertising data from Google Play Store alongside marketing channels or financial systems to create unified dashboards in Power BI, Looker Studio, or your preferred visualization tool. The automated replication ensures your MySQL tables always contain current information for accurate reporting and business intelligence.

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The Reviews pipeline captures user feedback including star ratings, review text, and submission dates, enabling you to analyze sentiment trends and identify feature requests directly within MySQL queries. Combine this with the Installs pipeline, which tracks daily user installations and uninstall events, to calculate retention rates and correlate user acquisition with satisfaction scores. The Subscriptions pipeline provides data on new, cancelled, and active subscriptions, allowing you to monitor recurring revenue and churn patterns.

You can join these datasets with external marketing data to create comprehensive performance views. For example, merge subscription metrics with campaign data to measure lifetime value by acquisition channel, or combine crash reports with release dates to track app stability across versions. MySQL serves as the central hub where these insights converge for flexible, custom analysis.

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Replicated to MySQL

Google Play Store data available for MySQL

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

available pipelines

extractable fields

MySQL

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 MySQL →

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How to send Google Play Store data to MySQL

Sync data automatically — no code, no manual exports.

Connect Google Play Store

Authenticate your Google Play Console account in Kondado to grant access to your app metrics and financial data. The platform establishes a direct connection to the Google Play Store API without requiring custom scripts or developer resources.

Configure MySQL Destination

Enter your MySQL database credentials including host, port, and authentication details to establish the target connection. Kondado validates the connection and prepares the schema to receive your app data, whether you are using a local instance, cloud-hosted MySQL, or managed database service.

Select Pipelines and Schedule

Choose from the seven available pipelines such as Reviews, Installs, or Subscriptions, then set your preferred update frequency from five minutes to daily. The system begins replicating your selected Google Play Store data to MySQL automatically according to your configured parameters.

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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 MySQL automatically

How do I connect Google Play Store to MySQL without writing code? ▼

Kondado provides a no-code interface where you authenticate your Google Play Console account and enter your MySQL connection details. The platform handles the API authentication, data extraction, and schema creation automatically. You simply select your desired pipelines and configure the replication schedule through the visual dashboard.

Which app performance indicators from Google Play Console can I analyze in MySQL? ▼

You can track user acquisition through daily install counts, monitor app stability via crash and ANR statistics, and measure satisfaction using star ratings and review text. Financial metrics include subscription state changes, earnings by transaction date, and sales reports with buyer information, all structured for SQL analysis.

How do I control how often my Google Play Store data updates in MySQL? ▼

You configure the synchronization frequency during pipeline setup, selecting intervals that match your business requirements from near-real-time five-minute updates to daily batches. The system monitors the Google Play Store API for new data according to your selected schedule and appends or updates records in MySQL without requiring manual refreshes.

Can I blend Google Play Store metrics with my existing business data in MySQL? ▼

Absolutely. MySQL allows you to write SQL joins that connect app install counts from the Installs pipeline with your internal user database or CRM records. You can also union subscription revenue data with financial information from accounting systems to generate consolidated profit and loss statements that include mobile app performance.

What data structure does Google Play Store information use when stored in MySQL? ▼

Kondado replicates data into structured relational schemas with appropriate data types for dates, currencies, text fields, and numerical metrics. Each pipeline becomes a separate dataset, preserving the relationships between metrics like package names and their associated reviews or crash reports. This structure supports standard SQL querying and joins with your existing business data.

How do I analyze subscription trends alongside user feedback in MySQL? ▼

Join the Subscriptions pipeline containing new, cancelled, and active subscription counts with the Reviews pipeline to correlate churn events with user sentiment. Write SQL queries that aggregate subscription metrics by time period alongside average star ratings or specific keywords in review text. This analysis helps identify whether app updates or feature changes impact both user satisfaction and retention rates.

Can I send Google Play Store data to destinations other than MySQL? ▼

While MySQL provides a cost-effective open-source solution for data analysis, Kondado also supports sending your Google Play Store data to BigQuery, PostgreSQL, Amazon S3, or visualization tools like Power BI and Looker Studio. This flexibility allows you to choose the storage and analytics environment that best fits your technical infrastructure.

Do I need technical expertise to maintain the Google Play Store to MySQL connection? ▼

No ongoing maintenance is required once you configure the initial connection and schedule. Kondado manages API changes, data schema updates, and error handling automatically. You receive notifications about replication status, and the platform retries failed extractions according to your configured parameters without requiring manual intervention.

Try out all the features for free for 14 days

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