AppLovin to Amazon S3 integration
Connect AppLovin to Amazon S3 and automatically sync your advertising platform data. Weld extracts data from AppLovin, loads it into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceAppLovinConnected- advertiser_hourly_report84 cols
- advertiser_report83 cols
- advertiser_campaign_hourly_report79 cols
- advertiser_campaign_report78 cols
- probabilistic_report36 cols
- publisher_report21 cols
- Extract
- Load
- Keep in sync
DestinationAmazon S3Ready- applovin.advertiser_hourly_reportSynced
- applovin.advertiser_reportSyncing
- applovin.advertiser_campaign_hourly_reportSynced
- applovin.advertiser_campaign_reportSynced
- applovin.probabilistic_reportSynced
- applovin.publisher_reportSynced
- AppLovin tables
- 7
- fields, typed
- 398
- agent context included
- MCP
Trusted by data and AI teams
How to set up AppLovin to Amazon S3 in Weld.
In the app, with the API or an agent.
New connectionAppLovinAuthorisedWhy sync AppLovin to Amazon S3?
Ready for analysis.
Centralizing your AppLovin 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 AppLovin data directly in Amazon S3 using SQL or your preferred BI tool.
Cross-channel ad performance
Consolidate AppLovin campaign data in Amazon S3 alongside other ad platforms. Compare ROAS, CPA, and conversion rates in a single dashboard.
Centralized data warehouse
Bring AppLovin 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 AppLovin to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every AppLovin table, keys intact.
Weld syncs the objects the AppLovin connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.
- advertiser_hourly_report
- advertiser_report
- advertiser_campaign_hourly_report
- advertiser_campaign_report
- probabilistic_report
- publisher_report
- max_report
Ask your agent.
It queries Amazon S3 for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the AppLovin context, finds the tables it needs and runs the query in Amazon S3.
How many advertiser_hourly_report rows do we have in Amazon S3?
Reading the AppLovin 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 AppLovin API, loading only new and updated records to minimize data transfer and warehouse costs.
- Schema handling
- Weld automatically manages schema changes. If AppLovin 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.
Common questions.
About AppLovin to Amazon S3.
Start syncing AppLovin to Amazon S3.
Set up your AppLovin data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
