DatriseAI-first ETL

Harvest Spreadsheets

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

How Datrise loads Harvest into Spreadsheets

Datrise syncs Harvest's time entries, projects, clients, invoices, and utilization 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

Harvest: Time tracking and project profitability for services teams.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Harvest entities map to Spreadsheets

Harvest entitySpreadsheets objectNotes
time entriesharvest_time_entriesid PK · custom fields → JSON-stringified cells for nested fields
projectsharvest_projectsid PK · linked to harvest_time_entries
clientsharvest_clientsid PK · linked to harvest_time_entries
invoicesharvest_invoicesid PK · linked to harvest_time_entries

FAQ

How does Datrise handle Harvest'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 Harvest 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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