News API to DuckDB Integration
AI-first ETL from News API into DuckDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads News API into DuckDB
Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.
Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.
Ideal for local and notebook analytics without standing up a server.
Endpoints
News API: Aggregated news headlines across publishers.
DuckDB: In-process analytics database for fast local OLAP.
How News API entities map to DuckDB
| News API entity | DuckDB object | Notes |
|---|---|---|
| articles | news_api_articles | id PK · custom fields → JSON or STRUCT columns |
| sources | news_api_sources | id PK · linked to news_api_articles |
| headlines | news_api_headlines | id PK · linked to news_api_articles |
| publication dates | news_api_publication_dates | id PK · linked to news_api_articles |
FAQ
How does Datrise handle News API's custom fields in DuckDB?
Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.
How does the News API to DuckDB sync stay up to date?
It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.
Related pipelines
More destinations for News API
Early access
Connect News API to DuckDB the easy way
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