Kommo → Airtable
AI-first ETL from Kommo into Airtable. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Airtable
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers 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
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Airtable: Relational spreadsheet destination for ops and go-to-market teams.
How Kommo entities map to Airtable
| Kommo entity | Airtable object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | date/dateTime fields events |
| chats | kommo_chats | id PK · linked to kommo_conversational_crm_events |
| leads | kommo_leads | id PK · linked to kommo_conversational_crm_events |
| sales automation triggers | kommo_sales_automation_triggers | id PK · linked to kommo_conversational_crm_events |
FAQ
How does Datrise handle Kommo'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 Kommo to Airtable sync stay up to date?
It runs incrementally — Datrise uses upserts records matched on a stable id field.
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