Google Pagespeed Insights → Supabase

AI-first ETL from Google Pagespeed Insights into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Pagespeed Insights into Supabase

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Google Pagespeed Insights: SaaS or API data source for analytics and warehouse sync.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Google Pagespeed Insights entities map to Supabase

Google Pagespeed Insights entity	Supabase object	Notes
records	`google_pagespeed_insights_records`	id PK · custom fields → jsonb columns
events	`google_pagespeed_insights_events`	timestamptz 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 Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the Google Pagespeed Insights to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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