No-code pipeline · Apple App Store → MySQL

Send data from Apple App Store to MySQL

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From Apple App Store to MySQL: managed, scheduled, no code.

Kondado provides a direct integration between Apple App Store and MySQL, replicating four distinct pipelines containing 115 fields including subscriber details, subscription events, and download metrics on a user-configurable schedule ranging from 5 minutes to daily intervals.

Connect Apple App Store now →

Send Apple App Store Data to MySQL

To send Apple App Store data to MySQL, connect your App Store Connect account to Kondado and select the specific pipelines you need. Our platform handles the extraction and loading process automatically, replicating your iOS app metrics into your MySQL database on a configurable schedule. Whether you need updates every 5 minutes or daily aggregations, Kondado ensures your subscription and sales data flows continuously into MySQL without manual intervention.

Once your Apple App Store data lands in MySQL, you can combine it with other business data sources to create comprehensive analytics workflows. This enables you to analyze subscription trends alongside marketing spend or customer support data, building custom dashboards that track your app’s commercial performance from acquisition to retention.

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The Daily Detailed Subscriber Report and Daily Subscription Events Report pipelines deliver granular insights into your subscription business, allowing you to track individual subscriber journeys and event triggers directly within MySQL. By replicating the Daily Downloads and Sales Report, you gain access to revenue and download metrics that enable cohort analysis and lifetime value calculations using standard SQL queries. These pipelines transform raw App Store metrics into structured tables within your MySQL environment, ready for connection to visualization tools like Power BI, Looker Studio, or Google Sheets for custom reporting.

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Replicated to MySQL

Apple App Store data available for MySQL

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

available pipelines

115

extractable fields

MySQL

Destination

Available integrations

Daily Detailed Subscriber Report

Includes metrics such as subscriber ID, purchase date, and standard subscription duration, allowing detailed analysis of subscription performance.

Daily Summary Subscription Report

Presents information such as report date, promotional offer name, and subscriber ID, facilitating an overview of subscriptions in summary.

Daily Downloads and Sales Report

Provides data on downloads, sales, and revenue generated, allowing analysis of the commercial performance of apps.

Daily Subscription Events Report

Includes metrics such as event date, subscription ID, and proceeds reason, helping to understand user interactions with subscriptions.

See all available data → Send Apple App Store to MySQL →

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How to send Apple App Store data to MySQL

Sync data automatically — no code, no manual exports.

Connect Apple App Store Account

Authenticate your App Store Connect credentials in Kondado to establish access to your subscription and sales pipelines, selecting this Apple App Store data source from our catalog of 80+ sources.

Configure MySQL Destination

Enter your MySQL connection details including host, port, and database credentials to establish the target location where your App Store metrics will be stored and organized into queryable tables.

Select Pipelines and Schedule

Choose from the four available pipelines such as Daily Detailed Subscriber Report or Daily Downloads and Sales Report, then set your preferred update frequency from 5-minute intervals to daily batches for automated replication.

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Send data from Apple App Store to other destinations

Apple App Store > Looker Studio

Apple App Store > Power BI

Other visualizations

Apple App Store > Amazon S3

Apple App Store > BigQuery

Apple App Store > Excel

Apple App Store > Google Sheets

Apple App Store > MySQL

Apple App Store > PostgreSQL

Apple App Store > Redshift

Apple App Store > SQL Server

Choose a tool to visualize your Apple App Store data

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

Apple App Store > Airtable

Apple App Store > Alteryx

Apple App Store > Amazon Quicksight

Apple App Store > BIMachine

Apple App Store > Cortex

Apple App Store > Data Studio

Apple App Store > Geckoboard

Apple App Store > Grafana

Apple App Store > IBM Cognos Analytics

Apple App Store > Klipfolio

Apple App Store > Looker Studio

Apple App Store > Looker

Apple App Store > Looqbox

Apple App Store > Metabase

Apple App Store > Microstrategy

Apple App Store > Pentaho

Apple App Store > Power BI

Apple App Store > Qlik Cloud Analytics

Apple App Store > Qlik Sense

Apple App Store > Qlik

Apple App Store > QlikView

Apple App Store > Redash

Apple App Store > Superset

Apple App Store > Tableau

Apple App Store > BI TOTVS

Apple App Store > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Apple App Store data to MySQL automatically

How do I connect my Apple App Store account to Kondado? ▼

You authenticate using your App Store Connect credentials through Kondado's interface, granting access to your subscription and sales metrics without writing any code. The platform automatically discovers available pipelines from your account, allowing you to select specific reports like subscriber details or download statistics for replication.

What specific App Store metrics can I replicate to MySQL? ▼

You can replicate 115 fields across four pipelines, including subscriber IDs, purchase dates, promotional offer names, and proceeds reasons from the various subscription and sales reports. This data covers subscription events, detailed subscriber activity, daily summaries, and commercial performance metrics from your iOS applications.

How often does Kondado update my App Store data in MySQL? ▼

Kondado replicates data on a configurable schedule that you control, with options ranging from every 5 minutes to daily updates depending on your analysis needs. You can adjust these intervals anytime to balance data freshness with API rate limits and storage considerations.

What format does Apple App Store data take in MySQL? ▼

Each pipeline creates structured relational tables in your MySQL database, with normalized fields for dates, IDs, and monetary values that support standard SQL querying and joins. The schema preserves the original metric relationships from App Store Connect, making it easy to build custom analytics queries.

Can I combine App Store data with other marketing sources in MySQL? ▼

Yes, MySQL serves as a central repository where you can join App Store subscription data with sources like advertising platforms or CRM systems also replicated through Kondado. This consolidation enables cross-channel analysis, such as correlating subscriber acquisition costs from ad platforms with actual subscription revenue stored in your database.

Which visualization tools work with App Store data in MySQL? ▼

Once your data resides in MySQL, you can connect it to Looker Studio, Power BI, or Google Sheets to build custom dashboards tracking app performance. These connections allow you to blend App Store metrics with data from BigQuery or PostgreSQL for comprehensive business intelligence.

Do I need technical skills to set up the Apple App Store pipeline? ▼

The setup requires no coding knowledge, as Kondado provides a point-and-click interface for authenticating your App Store Connect account and selecting your desired pipelines. You simply choose your update schedule and destination database, then the platform manages the ongoing data replication automatically.

Try out all the features for free for 14 days

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