Google Analytics → CSV Files
AI-first ETL from Google Analytics into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into CSV Files
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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 Analytics: Web and product analytics for behavior and traffic insights.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How Google Analytics entities map to CSV Files
| Google Analytics entity | CSV Files object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → JSON-encoded strings for nested fields |
| events | google_analytics_events | ISO-8601 timestamp columns events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 Analytics 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
More destinations for Google Analytics
- Google Analytics → MongoDB
- Google Analytics → Supabase
- Google Analytics → Neon
- Google Analytics → PlanetScale
- Google Analytics → Amazon DynamoDB
- Google Analytics → Looker
- Google Analytics → Looker Studio
- Google Analytics → Microsoft Power BI
- Google Analytics → Tableau
- Google Analytics → Apache Superset
- Google Analytics → Metabase
- Google Analytics → Amazon QuickSight
Early access
Connect Google Analytics to CSV Files 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.