Debug REST APIs: How to Use JSON Formatters to View Response Data Visually

7 min read

Why JSON Formatting Makes Debugging REST APIs Easier Wh […]

Why JSON Formatting Makes Debugging REST APIs Easier

When you work with REST APIs, you often get back data that looks like a big mess. JSON formatters help make sense of this chaos. These tools organize your data so you can understand it quickly. Think of them like a librarian who sorts all your books perfectly.

What Unformatted API Data Looks Like

Without proper formatting, API responses can be very hard to read. Here’s what you might see:

{"users":[{"id":1,"name":"Alex","email":"[email protected]","age":28,"city":"New York"},{"id":2,"name":"Sam","email":"[email protected]","age":32,"city":"Los Angeles"},{"id":3,"name":"Jordan","email":"[email protected]","age":26,"city":"Chicago"}]}

This string of text is difficult to scan quickly. You might miss important details or make mistakes when analyzing the data.

How Formatted Data Improves Readability

After using a JSON formatter, the same data becomes much clearer:

{
  "users": [
    {
      "id": 1,
      "name": "Alex",
      "email": "[email protected]",
      "age": 28,
      "city": "New York"
    },
    {
      "id": 2,
      "name": "Sam",
      "email": "[email protected]",
      "age": 32,
      "city": "Los Angeles"
    },
    {
      "id": 3,
      "name": "Jordan",
      "email": "[email protected]",
      "age": 26,
      "city": "Chicago"
    }
  ]
}

Now you can easily see the structure of the data. Each user is clearly separated, and their attributes are organized neatly. This makes debugging much faster and more accurate.

Step-by-Step Guide to Using JSON Formatters for REST API Debugging

Follow these simple steps to format your API responses and make debugging easier:

Step 1: Capture Your API Response

First, get the data from your REST API. This usually means making a request and copying the response. Look for the telltale signs of JSON: curly braces {} and square brackets [].

  • Use tools like Postman, curl, or your browser’s developer console
  • Make sure you capture the complete response
  • If you’re working with a live API, test different endpoints to see various response formats
  • Consider the status code along with the response data – it can provide important context

Step 2: Choose the Right JSON Formatter Tool

There are many great options available for free. Pick one that works well for your needs:

  • JSONFormatter.org: Simple and fast, with options to minify, validate, and format JSON
  • CodeBeautify JSON Viewer: Offers additional features like JSON to XML conversion
  • Online JSON Viewer: Provides tree view and code editor options
  • Chrome/Firefox Developer Tools: Built-in JSON formatting capabilities
  • VS Code Extensions: If you work in code editors, there are extensions for JSON formatting

When choosing a tool, consider:

  • How large your typical API responses are
  • Whether you need additional features like validation or conversion
  • If the tool works offline or requires internet connection
  • Whether it supports your specific use case (like debugging nested JSON)

Step 3: Paste Your Data and Apply Formatting

Most JSON formatters work similarly. The process is straightforward:

  1. Copy your JSON response from the API
  2. Go to your chosen JSON formatter website
  3. Paste the data into the input area
  4. Click the “Format” or “Beautify” button
  5. Watch as your messy text transforms into organized, readable JSON

Some tools might have additional options:

  • Adjust indentation levels (2 spaces, 4 spaces, or tabs)
  • Choose between different color schemes
  • Enable or disable line numbers
  • Set whether to sort object keys

Experiment with these options to find what works best for your debugging process.

Step 4: Analyze Your Formatted Data

Once your data is formatted, it’s time to examine it carefully:

  • Look for error messages, which are often highlighted in red
  • Check for missing brackets or quotes that could indicate syntax issues
  • Verify that data types are correct (numbers should be numbers, not text)
  • Identify patterns in the data structure
  • Spot inconsistencies between different API responses

Take notes about what you find. This will help you fix issues in your code or understand the API’s behavior better.

Advanced Features of JSON Formatters for Effective API Debugging

Modern JSON formatters come with many helpful features that make debugging REST APIs more efficient:

Color Coding for Better Data Visualization

Colors help your eyes quickly distinguish between different parts of the JSON:

  • Keys are typically one color (often blue or purple)
  • String values use another color (usually green)
  • Numbers might be a different color (like dark red)
  • Boolean values (true/false) often have their own color
  • Null values are frequently highlighted in gray

This color coding makes it much easier to scan through large JSON responses and quickly identify the type of data you’re looking at.

Collapse and Expand Sections

When working with deeply nested JSON, you can easily get overwhelmed. Most formatters allow you to:

  • Click arrows to expand or collapse sections
  • Focus on specific parts of the data without distraction
  • Navigate complex structures more efficiently
  • Get a better overview of the data’s architecture

This feature is particularly helpful when debugging APIs that return hierarchical data.

Line Numbers and Error Highlighting

When you’re trying to fix issues in your code, knowing exactly where problems occur is crucial:

  • Line numbers help you reference specific parts of the response
  • Error highlighting draws attention to syntax problems
  • Some tools provide error messages explaining what’s wrong
  • You can quickly locate mismatched brackets or quotes

This feature saves time when you need to report bugs or fix issues in your integration with the API.

Search Functionality

Large API responses can be difficult to navigate. Search features help you:

  • Quickly find specific data points in complex responses
  • Filter results to see only relevant information
  • Navigate between multiple matches
  • Use regular expressions for advanced searching

This is especially useful when debugging APIs that return large datasets or when you’re looking for specific values across multiple responses.

FAQ

Do I Need to Install Software to Format JSON?

No installation is required for most JSON formatters. Many free tools work directly in your web browser. Simply visit the website, paste your data, and format it. However, if you prefer working offline, there are desktop applications and code editor extensions available for download.

How Can I Protect Sensitive Data When Using Online Formatters?

When formatting API responses that contain sensitive information, take precautions:

  • Use tools that offer secure sessions or private processing
  • Avoid entering sensitive data on public websites
  • Consider using local JSON formatters installed on your computer
  • Remove or mask personal information before formatting
  • Check the tool’s privacy policy to understand how they handle your data

Can JSON Formatters Help Identify API Errors?

Yes, JSON formatters are excellent for spotting common API errors:

  • Missing or extra commas between elements
  • Unclosed brackets or quotes
  • Incorrect data types (like numbers in quotes)
  • Unexpected null values where data should be
  • Structure mismatches between different API responses

Most formatters highlight these issues, making them easier to fix.

Are There Mobile Options for JSON Formatting?

JSON formatting isn’t limited to desktop computers. Several mobile options are available:

  • Search your app store for “JSON formatter” or “JSON viewer”
  • Many mobile apps offer similar features to web-based tools
  • Some apps work offline, which is useful when traveling
  • Mobile formatters are great for quick checks on the go

Can These Tools Handle Different Data Types Beyond JSON?

While primarily designed for JSON, many formatting tools support other data types:

  • XML files can often be formatted and compared
  • CSV data can be viewed and sometimes converted
  • YAML files are supported by many advanced formatters
  • Some tools offer conversion between different formats

This makes them versatile for working with various API response types.

Related Articles