Webflow to DuckDB Integration

How Datrise loads Webflow into DuckDB

Datrise syncs Webflow's collections, collection items, sites, fields, form submissions, and publish events into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

Webflow: Visual website builder with a structured CMS.

DuckDB: In-process analytics database for fast local OLAP.

How Webflow entities map to DuckDB

Webflow entity	DuckDB object	Notes
collections	`webflow_collections`	id PK · custom fields → JSON or STRUCT columns
collection items	`webflow_collection_items`	id PK · linked to webflow_collections
sites	`webflow_sites`	id PK · linked to webflow_collections
fields	`webflow_fields`	id PK · linked to webflow_collections

FAQ

How does Datrise handle Webflow's custom fields in DuckDB?

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

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

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

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