Marketing · Source connector
Apple App Store Rating ELT Connector
Extract brings Apple App Store Rating marketing data into data warehouses and databases for analysis with the rest of your business data. Teams use it to compare channel performance, audience engagement, and campaign trends. Flexible scheduling keeps reporting current for routine analysis and time-sensitive decisions.
View setup guide
Use cases
What teams use this connector for
Marketing performance analysis
Compare Apple App Store Rating channel, campaign, and engagement trends to identify opportunities for improvement.
Audience and content analysis
Use Apple App Store Rating data to understand which audiences, content, and activities contribute to engagement.
Cross-channel reporting
Combine Apple App Store Rating metrics with other marketing and business data for consistent performance reporting.
Flexible reporting cadence
Refresh Apple App Store Rating reporting every 15 minutes, hourly, daily, or on a custom schedule as business needs change.
Warehouse and database analysis
Use Extract to make Apple App Store Rating marketing data available in data warehouses and databases such as Snowflake, BigQuery, Redshift, and PostgreSQL for governed analysis.
Connector data
Available streams
| Stream | Description | Sync mode |
|---|---|---|
app_rating | Fields include _singular_extract_timestamp, advisories, app_id, appletv_screenshot_urls. | Full refresh |
Schema
Data model at a glance
app_rating
_singular_extract_timestampstringadvisoriesarrayapp_idstringappletv_screenshot_urlsarrayartist_idintegerartist_namestringartist_view_urlstringartwork_url_100string
No verified relationships are available in this schema preview.
Connector pairings
Popular destinations
Commonly paired with Apple App Store Rating in Extract workflows.
Why Extract
Why Extract for Apple App Store Rating
- Rust-native performanceUse Rust-native data movement to refresh Apple App Store Rating reporting every 15 minutes, hourly, daily, or on a custom schedule as volume grows.
- Full run transparencyInspect Apple App Store Rating API activity, execution steps, and timing in Extract's run-level logs when data needs review.
- ELT + Reverse ETL in oneCombine Apple App Store Rating data with customer and finance models, then send approved outputs through a separately configured Reverse ETL destination.
FAQ
Frequently asked questions
How does Extract handle incremental and full Apple App Store Rating syncs?
An incremental sync processes only new or changed data since a stored checkpoint or new date partition, while a full sync processes the complete selected dataset or date range again. By avoiding repeated processing and writes for the full dataset, incremental syncs can reduce destination database updates and warehouse compute costs. Stream schemas define full refresh. Behavior varies by stream and configuration. Extract records run details so teams can verify each sync.
Can I backfill historical Apple App Store Rating data with Extract?
Historical coverage for Apple App Store Rating: No connector-specific backfill parameter is exposed. Initial historical coverage depends on the stream and provider. Use the setup guide and run details to confirm the available source records and selected settings.
How can teams monitor Apple App Store Rating data quality and freshness?
Compare expected reporting periods and record totals in your models, then use Extract's run-level logs to inspect Apple App Store Rating API activity, execution steps, and timing. This helps teams distinguish a source-data delay from a failed or incomplete run.
How often can Extract sync data from Apple App Store Rating?
Extract supports schedules every 15 minutes, hourly, daily, or on a custom cadence. Teams can choose a frequency that matches routine reporting, time-sensitive monitoring, or operational activation needs.
What does the Apple App Store Rating data model look like in the destination?
The Available streams table describes the datasets Extract can read from Apple App Store Rating. The inline schema previews entities and fields. Only relationships verified from the exported schema are shown. Use the full schema link for more details.