RSS to Looker Studio Integration
AI-first ETL from RSS into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads RSS into Looker Studio
Datrise syncs RSS's feed items, titles, links, publication dates, authors, and categories 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
RSS: Syndicated feed items from publishers and blogs.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How RSS entities map to Looker Studio
| RSS entity | Looker Studio object | Notes |
|---|---|---|
| feed items | rss_feed_items | id PK · custom fields → flattened columns for chart fields |
| 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 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 RSS to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect RSS to Looker Studio the easy way
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