Apple App Store to Amazon S3 integration
Connect Apple App Store to Amazon S3 and automatically sync your marketing platform data. Weld extracts data from Apple App Store, loads it into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceApple App StoreConnected- sales_report28 cols
- app_installs_deletions19 cols
- app_sessions18 cols
- app_store_engagement17 cols
- web_preview_engagement17 cols
- app_crashes16 cols
- Extract
- Load
- Keep in sync
DestinationAmazon S3Ready- app_store_connect.sales_reportSynced
- app_store_connect.app_installs_deletionsSyncing
- app_store_connect.app_sessionsSynced
- app_store_connect.app_store_engagementSynced
- app_store_connect.web_preview_engagementSynced
- app_store_connect.app_crashesSynced
- Apple App Store tables
- 6
- fields, typed
- 115
- agent context included
- MCP
Trusted by data and AI teams
How to set up Apple App Store to Amazon S3 in Weld.
In the app, with the API or an agent.
New connectionApple App StoreAuthorisedWhy sync Apple App Store to Amazon S3?
Ready for analysis.
Centralizing your Apple App Store data in Amazon S3 lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Apple App Store data directly in Amazon S3 using SQL or your preferred BI tool.
Centralized data warehouse
Bring Apple App Store data into Amazon S3 alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Apple App Store to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Apple App Store table, keys intact.
Weld syncs the objects the Apple App Store connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.
- sales_report
- app_installs_deletions
- app_sessions
- app_store_engagement
- web_preview_engagement
- app_crashes
Ask your agent.
It queries Amazon S3 for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Apple App Store context, finds the tables it needs and runs the query in Amazon S3.
How many sales_report rows do we have in Amazon S3?
Reading the Apple App Store context first, so the query uses the right tables and keys.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Apple App Store API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If Apple App Store adds new fields, they're detected and added to the corresponding Amazon S3 tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Keep reading.
Guides, docs and schema.
Apple App Store setup guide
How to connect Apple App Store to Weld, step by step.
DocumentationAmazon S3 setup guide
How to connect Amazon S3 to Weld, step by step.
SchemaApple App Store schema explorer
Browse all 6 tables and 115 fields.
ConnectorApple App Store connector
Everything Weld does with Apple App Store.
Common questions.
About Apple App Store to Amazon S3.
Start syncing Apple App Store to Amazon S3.
Set up your Apple App Store data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
