DatriseAI-first ETL

Contentful to Airtable Integration

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

How Datrise loads Contentful into Airtable

Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish 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

Contentful: Headless CMS for structured content delivery.

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

How Contentful entities map to Airtable

Contentful entityAirtable objectNotes
entriescontentful_entriesid PK · custom fields → long-text JSON or linked records for nested data
content typescontentful_content_typesid PK · linked to contentful_entries
assetscontentful_assetsid PK · linked to contentful_entries
spacescontentful_spacesid PK · linked to contentful_entries

FAQ

How does Datrise handle Contentful'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 Contentful 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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