Google Analytics 4 to CSV Files Integration

How Datrise loads Google Analytics 4 into CSV Files

Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences 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 4: Event-based web and app analytics from Google.

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

How Google Analytics 4 entities map to CSV Files

Google Analytics 4 entity	CSV Files object	Notes
events	`ga4_events`	ISO-8601 timestamp columns events
users	`ga4_users`	id PK · linked to ga4_events
sessions	`ga4_sessions`	id PK · linked to ga4_events
traffic sources	`ga4_traffic_sources`	id PK · linked to ga4_events

FAQ

How does Datrise handle Google Analytics 4'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 4 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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