AppLovin Max integration
AppLovin Max data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.user_ad_revenue_application_ids
type: ingestr
parameters:
source_connection: applovin_max
source_table: 'user_ad_revenue:<application_ids>'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/applovin_max.asset.yml
- extract · AppLovin Max user_ad_revenue:<application_ids>incremental
- load · snowflake raw.user_ad_revenue_application_ids_merged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
AppLovin's tool that helps app developers optimize ad revenue by selecting the highest-paying ads from various ad networks.
- 01
Add a AppLovin MAX connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- api_key
- Report key for authenticating the request
Tables
1 tables, ready to load.
user_ad_revenue:<application_ids>
Step-by-step
Pick a destination.
AppLovin Max → Snowflake
Read the guide
AppLovin Max → Google BigQuery
Read the guide
AppLovin Max → Databricks
Read the guide
AppLovin Max → Amazon Redshift
Read the guide
AppLovin Max → PostgreSQL
Read the guide
AppLovin Max → ClickHouse
Read the guide
AppLovin Max → DuckDB
Read the guide
AppLovin Max → MotherDuck
Read the guide
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about AppLovin Max.
Does Bruin have a built-in AppLovin Max integration?
Yes. Built-in ingestr source.
Which AppLovin Max tables can Bruin load?
user_ad_revenue:<application_ids>.
Where can AppLovin Max data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect AppLovin Max?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.