DatriseAI-first ETL

Recruitee to Airtable Integration

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

How Datrise loads Recruitee into Airtable

Datrise syncs Recruitee's candidates, offers, jobs, interviews, pipeline stages, and evaluations 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

Recruitee: Collaborative hiring and candidate pipelines.

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

How Recruitee entities map to Airtable

Recruitee entityAirtable objectNotes
candidatesrecruitee_candidatesid PK · custom fields → long-text JSON or linked records for nested data
offersrecruitee_offersid PK · linked to recruitee_candidates
jobsrecruitee_jobsid PK · linked to recruitee_candidates
interviewsrecruitee_interviewsid PK · linked to recruitee_candidates

FAQ

How does Datrise handle Recruitee'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 Recruitee 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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