DatriseAI-first ETL

New York Times to Airtable Integration

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

How Datrise loads New York Times into Airtable

Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.

Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.

Ideal for operational workflows and light CRM views in Airtable.

Endpoints

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

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How New York Times entities map to Airtable

New York Times entityAirtable objectNotes
articlesnew_york_times_articlesid PK · custom fields → long-text JSON or linked records for nested data
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 Airtable?

Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.

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

It runs incrementally — Datrise uses upserts records matched on a stable id field.

Related pipelines

Early access

Connect New York Times to Airtable the easy way

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