Stream data from Google Analytics V4 Data API to Apache Kafka
Sync your Google Analytics V4 Data API data with Apache Kafka in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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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.

Apache Kafka connector details
The Apache Kafka materialization connector publishes data from Estuary Flow collections to Kafka topics, enabling downstream systems to consume real-time streams of structured, reliable data.
- Continuous streaming: Streams collection updates to Kafka topics in real-time for event-driven architectures and analytics pipelines.
- Flexible message encoding: Supports both Avro (with schema registry) and JSON formats, giving teams flexibility in serialization strategy.
- Secure authentication: Compatible with SASL/PLAIN, SCRAM-SHA-256, and SCRAM-SHA-512 authentication methods, along with TLS encryption.
- Scalable configuration: Allows you to define topic partitions and replication factors for performance and redundancy.
- Schema registry support: Seamlessly integrates with Confluent Cloud or self-hosted schema registries for Avro schema management.
- At-least-once delivery: Ensures reliable message delivery with future support planned for exactly-once semantics.
💡 Tip: When connecting to Confluent Cloud, use the PLAIN SASL mechanism and provide your schema registry key and secret for authentication.
How to integrate Google Analytics V4 Data API with Apache Kafka in 3 simple steps using Estuary Flow
Connect Google Analytics V4 Data API as Your Real-Time Data Source
Set up a real-time source connector for Google Analytics V4 Data API in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Apache Kafka as Your Target
Choose Apache Kafka as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Google Analytics V4 Data API connector.
- Enter Details: Add your Google Analytics V4 Data API connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Google Analytics V4 Data API capture, and publish.
What is Google Analytics V4 Data API?
How do I Transfer Data from Google Analytics V4 Data API?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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