News API to Google BigQuery Integration
AI-first ETL from News API into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads News API into Google BigQuery
Datrise syncs News API's articles, sources, headlines, publication dates, categories, and search queries into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
News API: Aggregated news headlines across publishers.
Google BigQuery: Serverless analytics warehouse on GCP.
How News API entities map to Google BigQuery
| News API entity | Google BigQuery object | Notes |
|---|---|---|
| articles | news_api_articles | id PK · custom fields → JSON or nested/repeated (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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the News API to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
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Early access
Connect News API to Google BigQuery the easy way
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