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    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
    • 200+ connectors
    • Managed data pipelines
    Try it freeWatch Demo
    01. Move from YouTube Analytics02. Transform in-flight03. Select a destination
    YouTube Analytics logo
    take a tour
    YouTube Analytics logo

    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. 1

      Connect YouTube Analytics as your data source

      Securely connect YouTube Analytics and choose the objects, tables, or collections you need to sync.

    2. 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. 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.

    Get Started Free

    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.

    4.8/5

    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:

    Details

    or choose from these popular destinations:

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    Don't see a connector?Request and our team will get back to you in 24 hours

    Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

    Feature Comparison

    EstuaryBatch ELT/ETLDIY PythonKafka
    Price$$$-$$$$$-$$$$$-$$$$
    Latency<100ms to scheduled5min+Varies<100ms
    EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
    Scale
    Maintenance EffortLowMediumHighHigh

    One platform for real-time and batch data pipelines

    Detailed Comparison

    Deliver real-time and batch data from DBs, SaaS, APIs, and more

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    Connection-1

    Popular sources/destinations you can sync your data with

    Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.