DatriseAI-first ETL

Import API to Spreadsheets Integration

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

How Datrise loads Import API into Spreadsheets

Datrise syncs Import API's records, payloads, batches, schemas, ingest timestamps, and source keys 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

Import API: Direct API push of custom records into a pipeline.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Import API entities map to Spreadsheets

Import API entitySpreadsheets objectNotes
recordsimport_api_recordsid PK · custom fields → JSON-stringified cells for nested fields
payloadsimport_api_payloadsid PK · linked to import_api_records
batchesimport_api_batchesid PK · linked to import_api_records
schemasimport_api_schemasid PK · linked to import_api_records

FAQ

How does Datrise handle Import API'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 Import API 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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