Google PageSpeed Insights to Spreadsheets Integration
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 audits, lab metrics, field metrics, opportunities, page URLs, and performance scores 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: Page performance and Core Web Vitals audits.
Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.
How Google PageSpeed Insights entities map to Spreadsheets
| Google PageSpeed Insights entity | Spreadsheets object | Notes |
|---|---|---|
| audits | google_pagespeed_insights_audits | id PK · custom fields → JSON-stringified cells for nested fields |
| lab metrics | google_pagespeed_insights_lab_metrics | id PK · linked to google_pagespeed_insights_audits |
| field metrics | google_pagespeed_insights_field_metrics | id PK · linked to google_pagespeed_insights_audits |
| opportunities | google_pagespeed_insights_opportunities | id PK · linked to google_pagespeed_insights_audits |
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
More destinations for Google PageSpeed Insights
- Google PageSpeed Insights → Airtable
- Google PageSpeed Insights → CSV Files
- Google PageSpeed Insights → MongoDB
- Google PageSpeed Insights → Supabase
- Google PageSpeed Insights → Neon
- Google PageSpeed Insights → PlanetScale
- Google PageSpeed Insights → Amazon DynamoDB
- Google PageSpeed Insights → Looker
- Google PageSpeed Insights → Looker Studio
- Google PageSpeed Insights → Microsoft Power BI
- Google PageSpeed Insights → Tableau
- Google PageSpeed Insights → Apache Superset
More sources for Spreadsheets
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