DatriseAI-first ETL

Public API to Spreadsheets Integration

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

How Datrise loads Public API into Spreadsheets

Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps 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

Public API: Generic REST endpoint pulled on a schedule.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Public API entities map to Spreadsheets

Public API entitySpreadsheets objectNotes
recordspublic_api_recordsid PK · custom fields → JSON-stringified cells for nested fields
response payloadspublic_api_response_payloadsid PK · linked to public_api_records
pagination cursorspublic_api_pagination_cursorsid PK · linked to public_api_records
request parameterspublic_api_request_parametersid PK · linked to public_api_records

FAQ

How does Datrise handle Public 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 Public 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

Early access

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