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Public opinion analysis with News API
Benefits
Public opinion analysis with News API
Measure how people feel about specific topics, policies, brands, or events based on news coverage. See whether coverage is positive, negative, or neutral across thousands of sources to reveal public perception trends.
Learn more about API Use cases
What you can do
Use our news data whether you're a small business or a large corporation.
PollingPolling proxy
Use aggregated news sentiment as a lower-cost, higher-frequency proxy for traditional polling on issues and personalities.
BrandBrand perception over time
Plot brand sentiment over months to detect shifts triggered by campaigns, controversies, or competitor actions.
PolicyIssue-salience tracking
Measure how often and how positively or negatively specific policy issues appear across mainstream and partisan press.
MarketProduct-launch reception
Score the first 30 days of news after a product launch by sentiment, by geography, and by publisher tier.
RiskReputation alerts
Trigger an alert when sentiment for an entity moves more than 2 standard deviations from a 30-day baseline.
AcademicEvent-study research
Build event-study datasets pairing dated news sentiment with market or behavior data for quantitative analysis.
More than 300,000+ sources
Teams around the world use APITube to build digital products.
- Last updated
- 8s ago
- Total sources
- 300.000k
- Requests yesterday
- 27.524
- Articles added yesterday
- 94.645
- Total articles
- 3.88b
Interactive Demo
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News API Scenarios
Ready to build with News API?
See recipes and code examples for common tasks.
API response
Loading...Frequently asked questions
- Measure how people feel about specific topics, policies, brands, or events based on news coverage. See whether coverage is positive, negative, or neutral across thousands of sources to reveal public perception trends.
- Businesses use public opinion analysis for market research, product launches, policy advocacy, crisis management, and strategic planning. Understanding how the public perceives your industry, products, or initiatives helps you decide what to say, when to launch, and where to spend.
- You can analyze political issues, social causes, technology trends, healthcare policies, environmental concerns, economic conditions, and cultural movements. The API covers news from 60+ languages across global, national, and local sources.
- The API achieves 85%+ accuracy across most categories, including politics, business, technology, and healthcare, even when context changes the meaning.
- Yes. The API provides historical data and time-series analysis. You can see how sentiment changes over days, weeks, months, or years in response to events, campaigns, or policy changes.
- Each article includes source bias indicators and publisher authority rankings. You can filter by political leaning, focus on neutral sources, or analyze the full spectrum to see how different audiences perceive topics.
- Yes. Geographic filtering lets you compare sentiment by country, region, or language—useful for multinational companies, political organizations, and researchers studying regional differences.
- Export data in JSON for API integration, CSV/Excel for analysis tools, or use time-series endpoints for visualization platforms. Real-time webhooks update dashboards, and scheduled reports deliver regular monitoring.
Features
Get what you need without complexity
Access news articles from thousands of sources.
News API
- Export data in many formats
- Industry Monitoring
- Brand Monitoring
- Market news and trends
- Risk Management
- Competitor news
- Media Monitoring
- Article tone
- Trend Analysis
- Group related articles
- Forecasting social trends
- Multiple languages
- Audience Engagement
- Geographical Analysis
- Real-time Breaking News
- Past articles
- Custom News Feeds
- News Aggregation
- Content Filtering
- Over 50 integrations
Details about each article
- Industries
- Locations
- Persons
- Organizations
- Brands
- Events
- Disasters
- Diseases
- Links
- Media
- Images & Videos
- Hashtags
- Authors
- Source
- Find duplicate articles
- Source rank
- Article Sentiment
- Readability Score
- Detect language
Analysis
- Article tone
- Analysis of public opinion
- Categorization
- Financial Analysis
- Trend Analysis
- Group related articles
- Content Summarization
- Names and places
- Keyword Extraction
- Article topics
- Event Detection
- Names and places
- Text Classification
- Controversy Detection
- Source trust scores
- Engagement Metrics
- Source viewpoints
- Quality Ranking
- Spam Detection
- Emotion Detection
Search filters
- Search by Location
- Search by Date Range
- Search by Source
- Search by Category
- Search by Industry
- Search by article tone
- Search by Story
- Search by source rank
- Search by Language
- Search by name or place
- Search by Keywords
- Combine terms with AND, OR, NOT
- Proximity Search
- Faceted Search
- Range Queries
- Search by Author
- Search by Media Type
- Search by Breaking News
- Search by Read Time
Real-time news alerts with WebSockets (Socket.IO 2026)
Build real-time news alerts with WebSockets in Node.js using Socket.IO 4.8 and APITube SSE. Room filters, reconnect, Redis adapter, full code.
News Sentiment Trading Signals: An Honest Quant Guide
Build a news sentiment trading signal that survives an honest backtest: entity-level sentiment, dedup, decay, z-score. Real API JSON, code, and caveats.
Slack News Bot Integration Tutorial: 2026 Python Guide
Build a Python Slack news bot. Format with Block Kit, schedule on cron / GitHub Actions / Lambda. Working code, ~80 lines.
News API Migration Guide 2026: Switch Without a Rewrite
News API migration without a rewrite: build an adapter, map fields across providers, shadow-test for parity, and cut over in hours, not days.
Build a Breaking News Detection System in Python (2026)
Build a breaking news detection system in Python: entity-velocity z-score, source-diversity filter, Slack alerts, latency benchmark methodology.
sentiment sentiment Analysis API Public Opinion.
APITube offers sentimentality analysis of news content on 300,000 plus news sources. Monitor the media representation of topics, companies, and other public figures. Each of the articles suggests sentimental scores, positive, negative, or neutral.
Our sentiment analysis allows us to track the discussion of the masses quantitatively with time. Track changes in sentiments with regard to the events, change of policy, or campaigns. Compare pattern of coverages in these regions, languages, and types of publications.
To researchers and analysts, historic sentiment data is over a span of 10 years. Construct time series of social attitudes of any subject. Export data in a form that can be statistically analyzed in the python, R, or other systems.
REST API having detailed documentation. Python, JavaScript and other languages SDKs. Integration normally takes less than an hour.
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