Recruitee to Looker Studio Integration
AI-first ETL from Recruitee into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Recruitee into Looker Studio
Datrise syncs Recruitee's candidates, offers, jobs, interviews, pipeline stages, and evaluations into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Recruitee: Collaborative hiring and candidate pipelines.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Recruitee entities map to Looker Studio
| Recruitee entity | Looker Studio object | Notes |
|---|---|---|
| candidates | recruitee_candidates | id PK · custom fields → flattened columns for chart fields |
| offers | recruitee_offers | id PK · linked to recruitee_candidates |
| jobs | recruitee_jobs | id PK · linked to recruitee_candidates |
| interviews | recruitee_interviews | id PK · linked to recruitee_candidates |
FAQ
How does Datrise handle Recruitee's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Recruitee to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
Connect Recruitee to Looker Studio the easy way
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