DatriseAI-first ETL

News API to MongoDB Integration

AI-first ETL from News API into MongoDB. Governed entities, incremental sync, typed landing tables.

How Datrise loads News API into MongoDB

Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries into MongoDB as a collection per source entity. Flexible or custom fields land in native nested documents, and timestamps such as created, updated, and status changes are typed as BSON Date.

Sync is incremental: Datrise uses upserts by stable id with updateOne(upsert) on the source primary key, so re-runs update only what changed. Optional sharding on the entity id for large collections. Mongo has no fixed schema, so Datrise keeps field types consistent across documents to avoid mixed-type query surprises.

Ideal for document-oriented apps that want CRM data in their existing Mongo store.

Endpoints

News API: Aggregated news headlines across publishers.

MongoDB: Document database for flexible schemas.

How News API entities map to MongoDB

News API entityMongoDB objectNotes
articlesnews_api_articlesid PK · custom fields → native nested documents
sourcesnews_api_sourcesid PK · linked to news_api_articles
headlinesnews_api_headlinesid PK · linked to news_api_articles
publication datesnews_api_publication_datesid PK · linked to news_api_articles

FAQ

How does Datrise handle News API's custom fields in MongoDB?

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

How does the News API to MongoDB sync stay up to date?

It runs incrementally — Datrise uses upserts by stable id with updateOne(upsert) on the source primary key.

Related pipelines

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