n8n to Looker Studio Integration

How Datrise loads n8n into Looker Studio

Datrise syncs n8n's workflows, executions, nodes, credentials, execution logs, and triggers 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

n8n: Workflow automation across apps and APIs.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How n8n entities map to Looker Studio

n8n entity	Looker Studio object	Notes
workflows	`n8n_workflows`	id PK · custom fields → flattened columns for chart fields
executions	`n8n_executions`	id PK · linked to n8n_workflows
nodes	`n8n_nodes`	id PK · linked to n8n_workflows
credentials	`n8n_credentials`	id PK · linked to n8n_workflows

FAQ

How does Datrise handle n8n'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 n8n to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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