RSS to Looker Integration
AI-first ETL from RSS into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into Looker
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
RSS: Syndicated feed items from publishers and blogs.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How RSS entities map to Looker
| RSS entity | Looker object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| titles | rss_titles | id PK · linked to rss_feed_items |
| links | rss_links | id PK · linked to rss_feed_items |
| publication dates | rss_publication_dates | id PK · linked to rss_feed_items |
FAQ
How does Datrise handle RSS's custom fields in Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the RSS to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for RSS
Early access
Connect RSS to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.