Move your data from Google Analytics V4 Data API with your free account
Capture data from Google Analytics V4 Data API and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Google Analytics V4 Data API connector details
The Google Analytics Data API connector syncs data from Google Analytics 4 (GA4) properties into Estuary collections using the GA4 Data API. It delivers dependable, right-time visibility into website and app engagement metrics.
- Comprehensive coverage: Capture data on active users, devices, pages, traffic sources, and locations, or define custom GAQL-style reports.
- Right-time sync cadence: Incremental updates (default: every 12 hours) keep dashboards current without exceeding API limits.
- Custom reporting: Build tailored collections with flexible dimensions, metrics, and filters, including total and max aggregations.
- Secure setup: Connect via OAuth or service credentials for automated access.
- Smart lookback window: Configure up to 30 days to capture delayed or revised GA4 data.
💡 Data freshness: Right-time polling (periodic incremental sync) — reliable GA4 reporting with flexible interval control.
How to connect Google Analytics V4 Data API to your destination in 3 easy steps
- 1
Connect Google Analytics V4 Data API as your data source
Securely connect Google Analytics V4 Data API and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Google Analytics V4 Data API using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Google Analytics V4 Data API to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Google Analytics V4 Data API data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Google Analytics V4 Data API data:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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