Features Overview

Discover the powerful features that make NextRows API the best choice for web data extraction

NextRows provides a comprehensive suite of features designed to handle any web data extraction challenge. From simple text parsing to complex JavaScript-heavy websites, NextRows has you covered.

Core Features

AI-Powered Extraction

NextRows uses advanced language models to understand both your requirements and the structure of web content.

Key Benefits:

  • Natural language prompts: Describe what you want in natural language
  • Semantic understanding: AI recognizes data patterns and relationships
  • Adaptive extraction: Handles varying website structures automatically
  • Context awareness: Understands implicit data relationships
{
  "prompt": "Extract all product information including specifications and customer reviews"
}

The AI automatically identifies relevant data fields, even when they're not explicitly structured.

Smart Content Processing

Handle modern websites with intelligent content extraction.

Capabilities:

  • Advanced HTML parsing: Extracts content from complex DOM structures
  • Dynamic content detection: Handles modern web frameworks and SPAs
  • Content prioritization: Focuses on relevant data while filtering noise
  • Structure recognition: Automatically identifies tables, lists, and data patterns

Perfect for:

  • Modern web applications with dynamic content
  • Sites with complex HTML structures
  • Content-heavy pages with nested data
  • Non-standard markup and layouts

Schema Validation

Ensure data quality and consistency with JSON Schema validation.

Benefits:

  • Type safety: Guarantee data types and formats
  • Required fields: Ensure critical data is always present
  • Data transformation: Automatic type coercion and formatting
  • Error detection: Catch extraction issues early
{
  "schema": {
    "type": "array",
    "items": {
      "type": "object", 
      "properties": {
        "price": {"type": "number"},
        "title": {"type": "string", "minLength": 1},
        "rating": {"type": "number", "minimum": 0, "maximum": 5}
      },
      "required": ["title", "price"]
    }
  }
}

Advanced Features

Multiple Data Formats

Extract data in various formats to match your needs:

  • Structured objects: Complex nested data
  • Flat tables: Simple CSV-like data
  • Key-value pairs: Configuration or metadata
  • Arrays: Lists and collections

Batch Processing

Process multiple URLs efficiently in a single request:

{
  "type": "url",
  "data": [
    "https://site.com/page1",
    "https://site.com/page2", 
    "https://site.com/page3"
  ]
}
  • Automatic concurrency management
  • Partial failure handling
  • Progress tracking
  • Result aggregation

Intelligent Field Detection

NextRows automatically detects common data patterns:

  • Pricing information: Handles various currency formats
  • Dates and times: Recognizes multiple date formats
  • Contact information: Emails, phones, addresses
  • Social media handles: Twitter, LinkedIn, etc.
  • URLs and links: Absolute and relative links

Performance Optimization

Built-in optimizations for speed and reliability:

  • Batch processing: Efficient extraction for multiple URLs
  • Timeout protection: Automatic handling of slow websites
  • Resource optimization: Skip unnecessary content like images

Language Support

NextRows works with any programming language that can make HTTP requests:

Python

Full support with requests library and async capabilities.

JavaScript/Node.js

Native promise support and modern async/await syntax.

cURL

Simple command-line testing and shell scripting.

Any HTTP Client

Standard REST API works with any HTTP client library.

Quality Assurance Features

Error Handling

Comprehensive error handling and reporting:

  • Detailed error messages: Clear descriptions of what went wrong
  • Error codes: Programmatic error handling
  • Partial success handling: Get results even when some URLs fail
  • Retry recommendations: Guidance on how to fix issues

Data Validation

Multiple layers of data validation:

  • Schema validation: Ensure data matches expected structure
  • Type checking: Automatic type conversion and validation
  • Completeness checks: Identify missing or incomplete data
  • Quality scoring: Confidence metrics for extracted data

Monitoring and Analytics

Track your extraction performance:

  • Success rates: Monitor extraction reliability
  • Credit usage: Track API consumption
  • Performance metrics: Response times and throughput
  • Error analysis: Identify common failure patterns

Security and Privacy

Data Protection

  • Secure transmission: All requests use HTTPS encryption
  • API key authentication: Secure access control
  • Rate limiting: Prevent abuse and ensure fair usage

Compliance

  • Respectful scraping: Built-in rate limiting and delays
  • Respectful delays: Built-in delays between requests to avoid overwhelming servers

Next Steps

Ready to explore specific features? Check out these detailed guides: