DatriseAI-first ETL

Webflow to Looker Studio Integration

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

How Datrise loads Webflow into Looker Studio

Datrise syncs Webflow's collections, collection items, sites, fields, form submissions, and publish events 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

Webflow: Visual website builder with a structured CMS.

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

How Webflow entities map to Looker Studio

Webflow entityLooker Studio objectNotes
collectionswebflow_collectionsid PK · custom fields → flattened columns for chart fields
collection itemswebflow_collection_itemsid PK · linked to webflow_collections
siteswebflow_sitesid PK · linked to webflow_collections
fieldswebflow_fieldsid PK · linked to webflow_collections

FAQ

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

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

Related pipelines

Early access

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