Aircall to Looker Studio Integration

How Datrise loads Aircall into Looker Studio

Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings 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

Aircall: Cloud phone system for sales and support teams.

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

How Aircall entities map to Looker Studio

Aircall entity	Looker Studio object	Notes
calls	`aircall_calls`	id PK · custom fields → flattened columns for chart fields
users	`aircall_users`	id PK · linked to aircall_calls
teams	`aircall_teams`	id PK · linked to aircall_calls
phone numbers	`aircall_phone_numbers`	id PK · linked to aircall_calls

FAQ

How does Datrise handle Aircall'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 Aircall 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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