DatriseAI-first ETL

New York Times to Klipfolio Integration

AI-first ETL from New York Times into Klipfolio. Governed entities, incremental sync, typed landing tables.

How Datrise loads New York Times into Klipfolio

Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

New York Times: Article archive and top-stories metadata.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How New York Times entities map to Klipfolio

New York Times entityKlipfolio objectNotes
articlesnew_york_times_articlesid PK · custom fields → flattened columns for Klips
sectionsnew_york_times_sectionsid PK · linked to new_york_times_articles
headlinesnew_york_times_headlinesid PK · linked to new_york_times_articles
bylinesnew_york_times_bylinesid PK · linked to new_york_times_articles

FAQ

How does Datrise handle New York Times's custom fields in Klipfolio?

Flexible values are stored as flattened columns for Klips, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Klipfolio types.

How does the New York Times to Klipfolio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.

Related pipelines

Early access

Connect New York Times to Klipfolio the easy way

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