Keap → Airtable
AI-first ETL from Keap into Airtable. Governed entities, incremental sync, typed landing tables.
How Datrise loads Keap into Airtable
Datrise syncs Keap's SMB contacts, opportunities, automations, and appointment workflows 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
Keap: SMB CRM with pipeline automation, email, and appointment flows.
Airtable: Relational spreadsheet destination for ops and go-to-market teams.
How Keap entities map to Airtable
| Keap entity | Airtable object | Notes |
|---|---|---|
| SMB contacts | keap_smb_contacts | id PK · custom fields → long-text JSON or linked records for nested data |
| opportunities | keap_opportunities | id PK · linked to keap_smb_contacts |
| automations | keap_automations | id PK · linked to keap_smb_contacts |
| appointment workflows | keap_appointment_workflows | id PK · linked to keap_smb_contacts |
FAQ
How does Datrise handle Keap'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 Keap to Airtable sync stay up to date?
It runs incrementally — Datrise uses upserts records matched on a stable id field.
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