Data Mining API with News API

News data mining finds patterns and insights in large amounts of news content. The API returns names, companies, places, positive/negative/neutral tone, topics, and article details you can use for analysis and forecasting.

Names, companies, and locations; topics and categories; positive/negative/neutral tone; keywords; when articles are published; source details; where stories come from geographically; how coverage changes over time; and how entities relate to each other across articles.

Data scientists use the API for natural language research, tone analysis, predicting trends, detecting events, grouping topics, building knowledge graphs, and training machine learning models. The structured data saves preprocessing time.

Export data in JSON for programmatic processing, CSV for statistical analysis, or use bulk download endpoints for large datasets. All formats include full article metadata.

Yes, access historical news archives for long-term studies, backtesting models, and analyzing past events. Historical data depth varies by plan—enterprise customers can access extended archives.

Use topic and entity extraction to identify which subjects appear together. Analyze time sequences to find leading indicators, compare tone across related topics, and identify coverage patterns that precede events.

Request limits increase with your plan. Enterprise customers receive dedicated capacity for intensive data analysis.

Yes, the structured tone, entity, and topic data works well for predictive models. Clients build models for stock prediction, risk forecasting, trend detection, and event anticipation using the data feeds.