DatriseAI-first ETL

Sellsy to Spreadsheets Integration

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

How Datrise loads Sellsy into Spreadsheets

Datrise syncs Sellsy's prospects, opportunities, estimates, invoices, tickets, and timeline events 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

Sellsy: French CRM with quoting, invoicing, and support tickets.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Sellsy entities map to Spreadsheets

Sellsy entitySpreadsheets objectNotes
prospectssellsy_prospectsid PK · custom fields → JSON-stringified cells for nested fields
opportunitiessellsy_opportunitiesid PK · linked to sellsy_prospects
estimatessellsy_estimatesid PK · linked to sellsy_prospects
invoicessellsy_invoicesid PK · linked to sellsy_prospects

FAQ

How does Datrise handle Sellsy'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 Sellsy 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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