DatriseAI-first ETL

Google PageSpeed Insights to CSV Files Integration

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

How Datrise loads Google PageSpeed Insights into CSV Files

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

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

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Google PageSpeed Insights entities map to CSV Files

Google PageSpeed Insights entityCSV Files objectNotes
auditsgoogle_pagespeed_insights_auditsid PK · custom fields → JSON-encoded strings for nested 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 CSV Files?

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

How does the Google PageSpeed Insights to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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