Google Pagespeed Insights → Spreadsheets

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

How Datrise loads Google Pagespeed Insights into Spreadsheets

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

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

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Google Pagespeed Insights entities map to Spreadsheets

Google Pagespeed Insights entity	Spreadsheets object	Notes
records	`google_pagespeed_insights_records`	id PK · custom fields → JSON-stringified cells for nested fields
events	`google_pagespeed_insights_events`	ISO-8601 text or serial date cells 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 Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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Early access

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