DatriseAI-first ETL

Webflow to PostgreSQL Integration

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

How Datrise loads Webflow into PostgreSQL

Datrise syncs Webflow's collections, collection items, sites, fields, form submissions, and publish events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Webflow: Visual website builder with a structured CMS.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Webflow entities map to PostgreSQL

Webflow entityPostgreSQL objectNotes
collectionswebflow_collectionsid PK · custom fields → jsonb columns
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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Webflow to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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