DatriseAI-first ETL

Google PageSpeed Insights to Looker Studio Integration

AI-first ETL from Google PageSpeed Insights into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google PageSpeed Insights into Looker Studio

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores 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

Google PageSpeed Insights: Page performance and Core Web Vitals audits.

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

How Google PageSpeed Insights entities map to Looker Studio

Google PageSpeed Insights entityLooker Studio objectNotes
auditsgoogle_pagespeed_insights_auditsid PK · custom fields → flattened columns for chart fields
lab metricsgoogle_pagespeed_insights_lab_metricsid PK · linked to google_pagespeed_insights_audits
field metricsgoogle_pagespeed_insights_field_metricsid PK · linked to google_pagespeed_insights_audits
opportunitiesgoogle_pagespeed_insights_opportunitiesid PK · linked to google_pagespeed_insights_audits

FAQ

How does Datrise handle Google PageSpeed Insights'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 Google PageSpeed Insights 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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