New York Times to Looker Studio Integration
AI-first ETL from New York Times into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads New York Times into Looker Studio
Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords 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
New York Times: Article archive and top-stories metadata.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How New York Times entities map to Looker Studio
| New York Times entity | Looker Studio object | Notes |
|---|---|---|
| articles | new_york_times_articles | id PK · custom fields → flattened columns for chart fields |
| sections | new_york_times_sections | id PK · linked to new_york_times_articles |
| headlines | new_york_times_headlines | id PK · linked to new_york_times_articles |
| bylines | new_york_times_bylines | id PK · linked to new_york_times_articles |
FAQ
How does Datrise handle New York Times'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 New York Times to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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- New York Times → Chartio
More sources for Looker Studio
Early access
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