DatriseAI-first ETL

New York Times to Spreadsheets Integration

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

How Datrise loads New York Times into Spreadsheets

Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

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

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How New York Times entities map to Spreadsheets

New York Times entitySpreadsheets objectNotes
articlesnew_york_times_articlesid PK · custom fields → JSON-stringified cells for nested fields
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 Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

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

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

Connect New York Times to Spreadsheets the easy way

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