Transform Articles into
Structured JSON

Convert news articles, blog posts and web content into structured JSON format. Perfect for content aggregation, analysis, and data-driven applications.

Why Convert Articles to JSON?

Transform any article into structured data ready for your systems:

  • Automatic extraction of article content
  • Support for news sites and blogs
  • Ready for content aggregation

Supported Content Sources

Our article parser supports multiple content sources:

  • News websites and portals
  • Blog platforms and RSS feeds
  • Content management systems

See Article to JSON Conversion in Action

Sample Article Input
Sample news article showing headline, author, and content
Original Web Article HTML Format
JSON Output
Structured JSON Result
{
  "article": {
    "title": "Top Wall Street analysts suggest these stocks",
    "published": "2024-12-29T08:59:00-05:00",
    "author": "TipRanks.com Staff",
    "content": [
      {
        "stock": {
          "name": "Salesforce",
          "symbol": "CRM",
          "analyst": {
            "name": "Gregg Moskowitz",
            "firm": "Mizuho",
            "rating": "buy",
            "priceTarget": 425,
            "comment": "impressive innovation"
          }
        }
      }
    ],
    "metadata": {
      "category": "Finance",
      "tags": ["Stocks", "Analysis"],
      "readTime": "5 minutes"
    }
  }
}

API Integration Guide

1

Submit URLs for Processing

curl -X POST \
  -H "Authorization: Token YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "urls": [
      "https://example.com/news/article1",
      "https://example.com/news/article2"
    ]
  }' \
  https://monkt.com/api/transformations/

Response:

{
  "uuid": "278fe9a7-9007-4876-804d-2c294d19bda2",
  "status": "processing",
  "created": "2024-03-21T14:22:31Z"
}
2

Define Your JSON Schema

curl -X POST \
  -H "Authorization: Token YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "News Article Schema",
    "schema": {
      "type": "object",
      "properties": {
        "title": {"type": "string"},
        "author": {"type": "string"},
        "published_date": {"type": "string", "format": "date-time"},
        "content": {
          "type": "object",
          "properties": {
            "stocks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "name": {"type": "string"},
                  "symbol": {"type": "string"},
                  "analyst": {
                    "type": "object",
                    "properties": {
                      "name": {"type": "string"},
                      "rating": {"type": "string"},
                      "price_target": {"type": "number"}
                    }
                  }
                }
              }
            }
          }
        }
      }
    }
  }' \
  https://monkt.com/api/schemas/
3

Get Your JSON Results

curl \
  -H "Authorization: Token YOUR_API_TOKEN" \
  https://monkt.com/api/transformations/278fe9a7-9007-4876-804d-2c294d19bda2/json/309e3c16-166c-47c5-afbe-e341645994a5/

Response:

{
  "articles": [
    {
      "title": "Top Wall Street analysts suggest these stocks",
      "author": "TipRanks.com Staff",
      "published_date": "2024-03-21T08:59:00-05:00",
      "content": {
        "stocks": [
          {
            "name": "Salesforce",
            "symbol": "CRM",
            "analyst": {
              "name": "Gregg Moskowitz",
              "firm": "Mizuho",
              "rating": "buy",
              "price_target": 425
            }
          }
        ]
      }
    }
  ]
}

Frequently Asked Questions about Article to JSON Conversion

What types of articles can I convert to JSON?

We support various content sources including news websites, blog posts, RSS feeds, and content management systems. Our system can handle content in multiple languages and from different publishing platforms.

How accurate is the article extraction?

Our AI-powered system achieves over 95% accuracy in content extraction. We use advanced NLP techniques to identify key information like titles, authors, dates, and main content while filtering out ads and irrelevant elements.

Can I customize the JSON output format?

Yes! You can define custom schemas to extract only the fields you need. This allows you to match your existing system's requirements and integrate seamlessly with your content workflow.

How do I integrate with my content system?

Our API provides standardized JSON output that can be integrated with popular CMS platforms and content aggregators. We provide SDKs and detailed integration guides for major programming languages.

What about data security and privacy?

We take security seriously. All requests are encrypted using TLS 1.3, and we process data in isolated environments. We are GDPR compliant and automatically delete processed content after 24 hours.

What are the API rate limits?

API access is available starting with our Pro plan, which includes up to 1,000 transformations per month. Enterprise plans offer higher limits up to 5 million transformations monthly with custom integration support. Free accounts can test the service through our web interface with limited transformations.

Can I use both UI and API for article conversion?

Yes! You can choose what works best for you. Our user-friendly dashboard provides a simple interface for manual conversions and monitoring, while our API enables automated integration into your systems. Both methods support the same features and conversion quality.

Article Content Processing

Converting articles to JSON involves analyzing and structuring web content using advanced natural language processing and content extraction techniques. The system processes various article formats and sources to create standardized, machine-readable data structures.

Content Extraction

The system employs DOM analysis and content classification to identify main article content, distinguishing it from navigation elements, advertisements, and other non-article components. Advanced heuristics ensure accurate extraction of article text, images, and embedded media.

Metadata Processing

Article metadata including titles, authors, publication dates, and categories are extracted using specialized entity recognition models. The system handles various metadata formats and schemas, normalizing them into consistent JSON structures. This includes processing Open Graph tags, schema.org markup, and RSS feed metadata.

Content Structure Analysis

The converter analyzes article structure, identifying sections, headings, paragraphs, and lists. This hierarchical information is preserved in the JSON output, maintaining the logical organization of the content. Special handling is provided for quotes, citations, and embedded content.

Multi-format Support

The system processes articles from various sources including HTML pages, RSS feeds, and content management systems. Format-specific extractors handle different content structures while maintaining consistent output schemas. This includes support for paywalled content and dynamic loading patterns.

Schema Validation

Extracted content undergoes schema validation to ensure compliance with specified JSON formats. The system supports custom schema definitions, allowing flexible output structures while maintaining data integrity. Validation includes type checking, required field verification, and format consistency.

Content Cleaning

Extracted content is cleaned and normalized, removing HTML artifacts, standardizing whitespace, and handling special characters. The system preserves important formatting while ensuring clean, consistent JSON output. This includes proper escaping of special characters and handling of Unicode content.

Error Handling

The system implements robust error handling for various content issues including malformed HTML, missing metadata, and incomplete content. Extraction failures are gracefully handled with appropriate error reporting and fallback mechanisms to ensure reliable processing.

Article to JSON conversion provides structured data essential for content analysis, aggregation, and integration. The combination of advanced extraction techniques, flexible schema support, and robust processing ensures reliable conversion of web content into machine-readable formats.

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