What data fields are included in the JSON export?

Each JSON article object includes: title, description, full content, publication date, source details (name, URL, country, OPR rank), author information, image URLs, category/topic classifications, sentiment analysis (polarity and score), extracted entities (people, organizations, locations), language code, and unique article ID.

Can I customize which fields appear in the JSON response?

Yes, use field selection parameters to include only the data you need, reducing payload size and parsing overhead. Request minimal fields for high-volume feeds or full data for detailed analysis. This flexibility optimizes bandwidth usage and improves application performance.

How do I parse the JSON response in my application?

Our JSON structure follows standard conventions, making parsing straightforward in any language. JavaScript/Node.js: JSON.parse() or native fetch. Python: json.loads() or requests.json(). We provide SDK examples for popular languages. The consistent schema means you can define typed interfaces for reliable parsing.

Is the JSON format suitable for database storage?

Absolutely. Our JSON structure maps well to both relational and NoSQL databases. Store directly in MongoDB, PostgreSQL JSONB columns, or normalize into relational tables. The consistent field naming and data types simplify ETL pipelines and ensure reliable data ingestion.

Can I stream JSON data in real-time?

Yes, our API supports efficient polling for near-real-time updates. Query with timestamp filters to fetch only new articles since your last request. For high-frequency applications, we recommend polling intervals of 1-5 minutes. Each response includes pagination tokens for handling large result sets.

How do I handle pagination in JSON responses?

Large result sets are paginated with cursor-based navigation. Each response includes a pagination object with total count, current page, and next page cursor. Simply pass the cursor to subsequent requests to retrieve the next batch. This approach ensures consistent results even as new articles are published.

Is the JSON export compatible with data analysis tools?

Yes, our JSON exports work seamlessly with pandas (Python), jq (command line), JavaScript data processing libraries, and data visualization tools. Convert to DataFrames, process with array methods, or pipe directly into analysis pipelines. The structured format enables immediate data exploration and transformation.

Trusted by 6,000+ developers

Export News API Articles to JSON

Last updated: May 30, 2026

Export news articles to JSON format. The JSON format is easy to read and parse. The JSON format is widely used in web development.

Realtime news articles from 177 countries

in 60 languages

Benefits

Export News API Articles to JSON Format

Simply make an API request with your desired filters and the response is automatically returned in JSON format. Our well-structured JSON includes article metadata, full content, sentiment scores, entity extractions, and source information. JSON is the default format, making it easy to integrate with any programming language or framework.

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Learn more about API

Export News Articles to JSON Format

Easy to Read and Parse

Widely Used in Web Development

Customizable Search Parameters

Real-Time News Updates

Use cases

Discover the possibilities

Our solutions are designed to help you achieve your goals. Whether you are a small business or a large corporation, we have the right solution for you.

Engineering

Native JSON ingest

Consume articles in JSON via REST or batch endpoints with full metadata, sentiment, entities, and categorization.

Data warehouse

BigQuery / Snowflake loading

Bulk-load JSON exports into BigQuery, Snowflake, or Redshift using their native JSON loaders.

Analytics

Self-service BI feeds

Feed Tableau, Power BI, or Looker dashboards from a JSON-to-table transformation layer.

Automation

Webhook + JSON triggers

Trigger Zapier, Make, or n8n flows on filtered articles using compact JSON payloads.

Research

Notebook-friendly format

Load JSON into Python notebooks (Pandas, DuckDB) for ad-hoc research and modeling.

Apps

Direct frontend consumption

Pass JSON straight to JavaScript apps without server-side parsing overhead.

Features

Don’t waste time on complex features

Complex features made simple. Our API provides a simple way to access news articles from around the world. We provide a simple, consistent, and easy-to-use API to access news articles from thousands of sources.

News API

Export data in many formats
Industry Monitoring
Brand Monitoring
Market Intelligence
Risk Management
Competitive Intelligence
Media Monitoring
Sentiment Analysis
Trend Analysis
Story Grouping
Forecasting social trends
Multi-language Support
Audience Engagement
Geographical Analysis
Real-time Breaking News
Historical Data Access
Custom News Feeds
News Aggregation
Content Filtering
Over 50 integrations

Extract Additional Data

Industries
Locations
Persons
Organizations
Brands
Events
Disasters
Diseases
Links
Media
Images & Videos
Hashtags
Authors
Source
Duplicate Detection
Publisher Rank
Article Sentiment
Readability Score
Language Detection
and more

Analysis

Sentiment Analysis
Analysis of public opinion
Categorization
Financial Analysis
Trend Analysis
Story Grouping
Content Summarization
Entity Recognition
Keyword Extraction
Topic Modeling
Event Detection
Named Entity Recognition
Text Classification
Controversy Detection
Trust Score Analysis
Engagement Metrics
Source Bias Detection
Quality Ranking
Spam Detection
Emotion Detection

Advanced Searching

Search by Location
Search by Date Range
Search by Source
Search by Category
Search by Industry
Search by Sentiment
Search by Story
Search by Publisher Rank
Search by Language
Search by Entity
Search by Keywords
Boolean Search
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

Interactive Demo

Pick a scenario and see real API responses — filtered, structured, and ready to use. No credentials needed.

News API Scenarios

Ready to build with News API?

Discover recipes and code examples for common news data workflows.

Workflow examples

Full data models

API Response

✓ Tesla Stock Sentiment

Status: ok

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Key Features Demonstrated:

Sentiment AnalysisCompany ExtractionRich MetadataImage URLsSource Attribution

More than 500,000+ sources

APITube is trusted by teams around the world to help them build and deliver amazing digital experiences faster than ever before.

Last updated: 3s ago
Total sources: 512.645k
Requests yesterday: 27.515
Articles added yesterday: 105.773k
Total articles: 3.83b

Frequently asked questions

: Simply make an API request with your desired filters and the response is automatically returned in JSON format. Our well-structured JSON includes article metadata, full content, sentiment scores, entity extractions, and source information. JSON is the default format, making it easy to integrate with any programming language or framework.
: Each JSON article object includes: title, description, full content, publication date, source details (name, URL, country, OPR rank), author information, image URLs, category/topic classifications, sentiment analysis (polarity and score), extracted entities (people, organizations, locations), language code, and unique article ID.
: Yes, use field selection parameters to include only the data you need, reducing payload size and parsing overhead. Request minimal fields for high-volume feeds or full data for detailed analysis. This flexibility optimizes bandwidth usage and improves application performance.
: Our JSON structure follows standard conventions, making parsing straightforward in any language. JavaScript/Node.js: JSON.parse() or native fetch. Python: json.loads() or requests.json(). We provide SDK examples for popular languages. The consistent schema means you can define typed interfaces for reliable parsing.
: Absolutely. Our JSON structure maps well to both relational and NoSQL databases. Store directly in MongoDB, PostgreSQL JSONB columns, or normalize into relational tables. The consistent field naming and data types simplify ETL pipelines and ensure reliable data ingestion.
: Yes, our API supports efficient polling for near-real-time updates. Query with timestamp filters to fetch only new articles since your last request. For high-frequency applications, we recommend polling intervals of 1-5 minutes. Each response includes pagination tokens for handling large result sets.
: Large result sets are paginated with cursor-based navigation. Each response includes a pagination object with total count, current page, and next page cursor. Simply pass the cursor to subsequent requests to retrieve the next batch. This approach ensures consistent results even as new articles are published.
: Yes, our JSON exports work seamlessly with pandas (Python), jq (command line), JavaScript data processing libraries, and data visualization tools. Convert to DataFrames, process with array methods, or pipe directly into analysis pipelines. The structured format enables immediate data exploration and transformation.

Help Center

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Check out more articles from our blog

Chrome Export News Data to JSON Format.

APITube supports a structured delivery of news data as default in JSON. Uniform end-point clearance. Each response incorporates the metadata, content of the article, NLP enrichment and source information.

JSON export has all 65+ query filters. Get the precise information that you require with foreseeable return patterns. Sentiment score, entity, and source detail nested objects alleviate full context relatively to make extra API calls.

Very much, to developers, JSON responses can be easily integrated with web applications, mobile applications and backend services. Interoperate with native language characteristics in Python, Javascript, PHP as well as Java, and any other modern language.

Response schemas, pagination patterns and error handling have been well documented. SDKs have typed interfaces to the languages that support SDKs.

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