Move your data from YouTube Analytics with your free account

Capture data from YouTube Analytics 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
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01. Move from YouTube Analytics02. Transform in-flight03. Select a destination

YouTube Analytics connector details

The YouTube Analytics capture connector in Estuary captures channel and playlist performance data through the YouTube Analytics APIs and loads each selected resource into a separate Estuary collection. It supports a range of analytics reports covering audience, engagement, traffic sources, devices, playback locations, and other YouTube performance metrics.

API-based data capture from YouTube Analytics
Channel analytics, including basic performance, demographics, annotations, cards, and end screens
Device and operating system analytics
Traffic source and sharing-service analytics
Playback location and geographic analytics, including province-level reporting
Subtitle analytics
Playlist analytics, including basic, combined, device/OS, playback-location, province, and traffic-source reports
Separate Estuary collections for each selected YouTube Analytics resource
OAuth authentication using a Client ID, Client Secret, and Refresh Token

Each enabled analytics resource is configured as its own binding and mapped to a separate Estuary collection. The connector configuration also supports a sync mode for each selected stream; the Estuary documentation example uses incremental synchronization.

For more details about the YouTube Analytics connector, check out the documentation page.

How to connect YouTube Analytics to your destination in 3 easy steps

1
Connect YouTube Analytics as your data source
Securely connect YouTube Analytics 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.

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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 YouTube Analytics using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

Connect YouTube Analytics to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
Capture once and reuse YouTube Analytics data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send YouTube Analytics 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