Webflow to Mode Integration
AI-first ETL from Webflow into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Webflow into Mode
Datrise syncs Webflow's collections, collection items, sites, fields, form submissions, and publish events into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Webflow: Visual website builder with a structured CMS.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Webflow entities map to Mode
| Webflow entity | Mode object | Notes |
|---|---|---|
| collections | webflow_collections | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Webflow to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Webflow
Early access
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