What is an entity extraction API?

An entity extraction API finds and labels names in text—people, organizations, locations, and more. APITube returns these for every article so your code can use them.

Are entities linked to a knowledge graph?

Yes. Every entity includes Wikipedia and Wikidata links, so you can tell which OpenAI, which city, or which product is mentioned.

Does each entity have its own sentiment?

Yes. Each entity includes a sentiment score from −1 to +1, so one article can be positive about one company and negative about another.

Can I search or filter news by entity?

Yes. You can search and filter articles by entity, and each entity includes its position in the text so you can highlight or extract mentions.

How do I find an entity to filter by?

Use the suggest tool to look up an entity by name and get its identifier, then filter articles by that entity. The suggest tool is also available on the hosted MCP server for AI agents.

Is entity extraction available on the free plan?

Yes. Entities, their knowledge-graph links, and per-entity sentiment are included on every plan, including the free tier.

Trusted by 6,000+ developers

Names and places for News

Last updated: October 30, 2026

Turn articles into structured entities. APITube tags people, organizations, brands, products, locations, and more on every article — each linked to a knowledge graph and scored for sentiment.

Realtime news articles from 177 countries

in 60 languages

Benefits

Articles as structured entities

An entity extraction API identifies the people, places, organizations, and things in text. APITube tags entities across 9 types on every article — person, location, organization, brand, product, event, disease, natural disaster, and sport — each linked to Wikipedia and Wikidata with its own sentiment score.

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Entities across 9 types on every article

Each entity linked to Wikipedia and Wikidata

Per-entity sentiment score from −1 to +1

Where each entity appears in the text

Look up entities by name with the suggest tool

Search and filter articles by entity

59 languages, 177+ countries

Use cases

What you can do

Use our news data whether you're a small business or a large corporation.

RAG

Disambiguation for RAG

Use knowledge-graph links so your retrieval system finds the right entity, not a namesake.

Monitoring

Company and people monitoring

Track every mention of a company, product, or person across 59 languages, resolved to one entity.

Graph

Knowledge-graph building

Build a graph from news with typed, linked entities and their relationships over time.

Entity-based search

Let users filter coverage by a specific organization, brand, or event instead of keywords.

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
and more

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
+ over 65 more filters

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: 27.231
Articles added yesterday: 125.964k
Total articles: 3.88b

Frequently asked questions

: An entity extraction API finds and labels names in text—people, organizations, locations, and more. APITube returns these for every article so your code can use them.
: The API identifies 9 types: person, location, organization, brand, product, event, disease, natural disaster, and sport. Each match includes its type, so you can filter for the types you need.
: Yes. Every entity includes Wikipedia and Wikidata links, so you can tell which OpenAI, which city, or which product is mentioned.
: Yes. Each entity includes a sentiment score from −1 to +1, so one article can be positive about one company and negative about another.
: Yes. You can search and filter articles by entity, and each entity includes its position in the text so you can highlight or extract mentions.
: Use the suggest tool to look up an entity by name and get its identifier, then filter articles by that entity. The suggest tool is also available on the hosted MCP server for AI agents.
: Yes. Entities, their knowledge-graph links, and per-entity sentiment are included on every plan, including the free tier.