DatriseAI-first ETL

Real Geeks to Looker Studio Integration

AI-first ETL from Real Geeks into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Real Geeks into Looker Studio

Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups 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

Real Geeks: Real estate lead generation sites with an integrated CRM.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Real Geeks entities map to Looker Studio

Real Geeks entityLooker Studio objectNotes
leadsreal_geeks_leadsid PK · custom fields → flattened columns for chart fields
contactsreal_geeks_contactsid PK · linked to real_geeks_leads
listingsreal_geeks_listingsid PK · linked to real_geeks_leads
saved searchesreal_geeks_saved_searchesid PK · linked to real_geeks_leads

FAQ

How does Datrise handle Real Geeks'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 Real Geeks to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Real Geeks to Looker Studio the easy way

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