DatriseAI-first ETL

Yandex Metrica to Spreadsheets Integration

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

How Datrise loads Yandex Metrica into Spreadsheets

Datrise syncs Yandex Metrica's sessions, visitors, pageviews, traffic sources, goals, and user parameters 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

Yandex Metrica: Website traffic analytics and session recordings.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Yandex Metrica entities map to Spreadsheets

Yandex Metrica entitySpreadsheets objectNotes
sessionsyandex_metrica_sessionsid PK · custom fields → JSON-stringified cells for nested fields
visitorsyandex_metrica_visitorsid PK · linked to yandex_metrica_sessions
pageviewsyandex_metrica_pageviewsid PK · linked to yandex_metrica_sessions
traffic sourcesyandex_metrica_traffic_sourcesid PK · linked to yandex_metrica_sessions

FAQ

How does Datrise handle Yandex Metrica'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 Yandex Metrica to Spreadsheets sync stay up to date?

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

Related pipelines

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