Google Pagespeed Insights → Looker
AI-first ETL from Google Pagespeed Insights into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Pagespeed Insights into Looker
Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Google Pagespeed Insights: SaaS or API data source for analytics and warehouse sync.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Google Pagespeed Insights entities map to Looker
| Google Pagespeed Insights entity | Looker object | Notes |
|---|---|---|
| records | google_pagespeed_insights_records | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| events | google_pagespeed_insights_events | date/time dimension columns events |
| configuration objects | google_pagespeed_insights_configuration_objects | id PK · linked to google_pagespeed_insights_records |
FAQ
How does Datrise handle Google Pagespeed Insights's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Google Pagespeed Insights to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Google Pagespeed Insights
- Google Pagespeed Insights → Looker Studio
- Google Pagespeed Insights → Microsoft Power BI
- Google Pagespeed Insights → Tableau
- Google Pagespeed Insights → Apache Superset
- Google Pagespeed Insights → Metabase
- Google Pagespeed Insights → Amazon QuickSight
- Google Pagespeed Insights → Domo
- Google Pagespeed Insights → Sisense
- Google Pagespeed Insights → ThoughtSpot
- Google Pagespeed Insights → Qlik
- Google Pagespeed Insights → Mode
- Google Pagespeed Insights → Redash
Early access
Connect Google Pagespeed Insights to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.