Toggl to Looker Studio Integration

How Datrise loads Toggl into Looker Studio

Datrise syncs Toggl's time entries, projects, clients, workspaces, tags, and users 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

Toggl: Time tracking with projects, clients, and reports.

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

How Toggl entities map to Looker Studio

Toggl entity	Looker Studio object	Notes
time entries	`toggl_time_entries`	id PK · custom fields → flattened columns for chart fields
projects	`toggl_projects`	id PK · linked to toggl_time_entries
clients	`toggl_clients`	id PK · linked to toggl_time_entries
workspaces	`toggl_workspaces`	id PK · linked to toggl_time_entries

FAQ

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

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

Related pipelines

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