Apollo → Airtable
AI-first ETL from Apollo into Airtable. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Airtable
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity 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
Apollo: Sales intelligence and engagement platform with account-level activity.
Airtable: Relational spreadsheet destination for ops and go-to-market teams.
How Apollo entities map to Airtable
| Apollo entity | Airtable object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → long-text JSON or linked records for nested data |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | date/dateTime fields events |
FAQ
How does Datrise handle Apollo'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 Apollo to Airtable sync stay up to date?
It runs incrementally — Datrise uses upserts records matched on a stable id field.
Related pipelines
More destinations for Apollo
Early access
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