Sellsy to Airtable Integration
AI-first ETL from Sellsy into Airtable. Governed entities, incremental sync, typed landing tables.
How Datrise loads Sellsy into Airtable
Datrise syncs Sellsy's prospects, opportunities, estimates, invoices, tickets, and timeline events into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.
Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.
Ideal for operational workflows and light CRM views in Airtable.
Endpoints
Sellsy: French CRM with quoting, invoicing, and support tickets.
Airtable: Relational spreadsheet destination for ops and go-to-market teams.
How Sellsy entities map to Airtable
| Sellsy entity | Airtable object | Notes |
|---|---|---|
| prospects | sellsy_prospects | id PK · custom fields → long-text JSON or linked records for nested data |
| opportunities | sellsy_opportunities | id PK · linked to sellsy_prospects |
| estimates | sellsy_estimates | id PK · linked to sellsy_prospects |
| invoices | sellsy_invoices | id PK · linked to sellsy_prospects |
FAQ
How does Datrise handle Sellsy's custom fields in Airtable?
Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.
How does the Sellsy to Airtable sync stay up to date?
It runs incrementally — Datrise uses upserts records matched on a stable id field.
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