Looker to Spreadsheets Integration

How Datrise loads Looker into Spreadsheets

Datrise syncs Looker's looks, dashboards, explores, queries, users, and scheduled plans into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Looker: BI platform with a modeled semantic layer.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Looker entities map to Spreadsheets

Looker entity	Spreadsheets object	Notes
looks	`looker_looks`	id PK · custom fields → JSON-stringified cells for nested fields
dashboards	`looker_dashboards`	id PK · linked to looker_looks
explores	`looker_explores`	id PK · linked to looker_looks
queries	`looker_queries`	id PK · linked to looker_looks

FAQ

How does Datrise handle Looker's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Looker to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

Connect Looker to Spreadsheets the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.