Public API to Looker Studio Integration
AI-first ETL from Public API into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Public API into Looker Studio
Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Public API: Generic REST endpoint pulled on a schedule.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Public API entities map to Looker Studio
| Public API entity | Looker Studio object | Notes |
|---|---|---|
| records | public_api_records | id PK · custom fields → flattened columns for chart fields |
| response payloads | public_api_response_payloads | id PK · linked to public_api_records |
| pagination cursors | public_api_pagination_cursors | id PK · linked to public_api_records |
| request parameters | public_api_request_parameters | id PK · linked to public_api_records |
FAQ
How does Datrise handle Public API's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Public API to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect Public API to Looker Studio the easy way
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