Trustpilot to Looker Studio Integration
AI-first ETL from Trustpilot into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Trustpilot into Looker Studio
Datrise syncs Trustpilot's reviews, business units, consumers, star ratings, replies, and invitations 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
Trustpilot: Consumer reviews and business reputation data.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Trustpilot entities map to Looker Studio
| Trustpilot entity | Looker Studio object | Notes |
|---|---|---|
| reviews | trustpilot_reviews | id PK · custom fields → flattened columns for chart fields |
| business units | trustpilot_business_units | id PK · linked to trustpilot_reviews |
| consumers | trustpilot_consumers | id PK · linked to trustpilot_reviews |
| star ratings | trustpilot_star_ratings | id PK · linked to trustpilot_reviews |
FAQ
How does Datrise handle Trustpilot'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 Trustpilot 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 Trustpilot to Looker Studio the easy way
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