DatriseAI-first ETL

YouTube Analytics to Spreadsheets Integration

AI-first ETL from YouTube Analytics into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads YouTube Analytics into Spreadsheets

Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

YouTube Analytics: Channel and video performance reporting.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How YouTube Analytics entities map to Spreadsheets

YouTube Analytics entitySpreadsheets objectNotes
videosyoutube_analytics_videosid PK · custom fields → JSON-stringified cells for nested fields
channelsyoutube_analytics_channelsid PK · linked to youtube_analytics_videos
viewsyoutube_analytics_viewsid PK · linked to youtube_analytics_videos
watch timeyoutube_analytics_watch_timeid PK · linked to youtube_analytics_videos

FAQ

How does Datrise handle YouTube Analytics's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the YouTube Analytics to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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