Applovin
AppLovin Corporation is an American mobile technology company headquartered in Palo Alto, California. AppLovin enables developers of all sizes to market, monetize, analyze and publish their apps through its mobile advertising, marketing, and analytics platforms MAX, AppDiscovery, and SparkLabs.
ingestr
allows ingesting data from AppDiscovery reporting API
URI Format
The URI format for Applovin is as follows:
applovin://?api_key=<your_api_key>
URI Parameters:
api_key
. report key generated from your applovin account.
Setting up Applovin Integration
Generate a Report Key
You can generate a report key from your analytics dashboard.
Example: Loading Publisher Report
For this example, we'll assume that:
api_key
isapi_key_0
We will run ingestr
to save this data to a duckdb database called report.db
under the table name public.publisher_report
.
ingestr ingest \
--source-uri "applovin://?api_key=api_key_0
--source-table "publisher-report" \
--dest-uri "duckdb:///report.db" \
--dest-table "public.publisher_report"
Example: Incremental loading
We will extend the Loading Publisher Report example to demonstrate incremental loading.
First, we run the example with a start date of 2025-01-01
and an end date of 2025-01-05
ingestr ingest \
--source-uri "applovin://?api_key=api_key_0
--source-table "publisher-report" \
--dest-uri "duckdb:///report.db" \
--dest-table "public.publisher_report" \
--interval-start "2025-01-01" \
--interval-end "2025-01-05"
We can query the database to see which dates the data was ingested for:
$ duckdb report.db 'select day from public.publisher_report group by 1'
┌────────────┐
│ day │
│ date │
├────────────┤
│ 2025-01-01 │
│ 2025-01-02 │
│ 2025-01-03 │
│ 2025-01-04 │
│ 2025-01-05 │
└────────────┘
Now, we will run ingestr
again, but we will omit start and end date to demonstrate an incremental load.
ingestr ingest \
--source-uri "applovin://?api_key=api_key_0
--source-table "publisher-report" \
--dest-uri "duckdb:///report.db" \
--dest-table "public.publisher_report"
Now we can check the database again, and we will see that the data was loaded for the rest of the days automatically.
$ duckdb report.db 'select day from public.publisher_report group by 1'
┌────────────┐
│ day │
│ date │
├────────────┤
│ 2025-01-01 │
│ 2025-01-02 │
│ 2025-01-03 │
│ 2025-01-04 │
│ 2025-01-05 │
│ 2025-01-06 │
│ . │
│ . │
│ . │
│ 2025-01-28 │
│ 2025-01-29 │
│ 2025-01-30 │
│ 2025-01-31 │
├────────────┤
│ 35 rows │
└────────────┘
Tables
Name | Description |
---|---|
publisher-report | Provides daily metrics from the report end point using the report_type publisher |
advertiser-report | Provides daily metrics from the report end point using the report_type advertiser |
advertiser-probabilistic-report | Provides daily metrics from the probabilisticReport end point using the report_type advertiser |
advertiser-ska-report | Provides daily metrics from the skaReport end point using the report_type advertiser |
Custom Reports
applovin
source supports custom reports. You can pass a custom report definition to --source-table
and it will dynamically create a report for you.
The format of a custom report looks like the following:
custom:{endpoint}:{report_type}:{columns}
Where:
{endpoint}
is the API endpoint for applovin reports (one ofreport
,probabilisticReport
orskaReport
){report_type}
is the report type (one ofpublisher
oradvertiser
){columns}
are the columns of the given report type.
Custom Report Example
For this example, we will ingest data from report
end point with the report type publisher
.
We want to obtain the following columns:
- ad_type
- clicks
- country
To achieve this, we can pass the custom report defintion in --source-table
ingestr ingest \
--source-uri "applovin://?api_key=api_key_0
--source-table "custom:report:publisher:ad_type,clicks,country" \
--dest-uri "duckdb:///report.db" \
--dest-table "public.custom_report"
NOTE
The day
column is automatically added to any custom report if it is not specified in the custom report definition.