DatriseAI-first ETL

Aircall to Airtable Integration

AI-first ETL from Aircall into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Aircall into Airtable

Datrise syncs Aircall's calls, users, teams, phone numbers, tags, and call recordings 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

Aircall: Cloud phone system for sales and support teams.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Aircall entities map to Airtable

Aircall entityAirtable objectNotes
callsaircall_callsid PK · custom fields → long-text JSON or linked records for nested data
usersaircall_usersid PK · linked to aircall_calls
teamsaircall_teamsid PK · linked to aircall_calls
phone numbersaircall_phone_numbersid PK · linked to aircall_calls

FAQ

How does Datrise handle Aircall'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 Aircall to Airtable sync stay up to date?

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

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