New York Times to MySQL Integration
AI-first ETL from New York Times into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads New York Times into MySQL
Datrise syncs New York Times's articles, sections, headlines, bylines, publication dates, and keywords into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
New York Times: Article archive and top-stories metadata.
MySQL: Widely used OSS relational engine (InnoDB).
How New York Times entities map to MySQL
| New York Times entity | MySQL object | Notes |
|---|---|---|
| articles | new_york_times_articles | id PK · custom fields → JSON columns |
| 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 MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the New York Times to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for New York Times
- New York Times → Microsoft SQL Server
- New York Times → Oracle Database
- New York Times → Snowflake
- New York Times → Google BigQuery
- New York Times → Amazon Redshift
- New York Times → Databricks SQL Warehouse
- New York Times → ClickHouse
- New York Times → DuckDB
- New York Times → Amazon Athena
- New York Times → Amazon S3 Data Lake
- New York Times → Azure Data Lake Storage
- New York Times → Azure Synapse
Early access
Connect New York Times to MySQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.