About JSON Data Query
JSON Data Query is a powerful tool for extracting specific values from complex JSON structures using simple path notation. Whether you're debugging JSON data, testing APIs, or validating data structures, this tool makes it easy to navigate and query nested JSON objects and arrays.
Key Features
- Dot Notation: Access nested properties using familiar dot syntax (e.g., user.profile.name)
- Array Indexing: Access specific array elements using bracket notation (e.g., items[0])
- Wildcard Queries: Collect all array elements using [i] notation (e.g., items[i].name)
- Combined Access: Mix dot notation and array indexing for complex navigation (e.g., users[0].posts[2].title)
- Real-time Results: See query results instantly as you type
- Error Handling: Clear error messages when paths don't exist or data is invalid
- Type Detection: Automatically identifies the data type of your query result
- Easy Copy: One-click copying of results for quick integration
How to Use
- Paste your JSON data in the left panel
- Enter a query path using dot notation and/or array indexing
- View the result instantly in the result panel
- Use the copy button to copy the result to your clipboard
Query Path Syntax
| Syntax | Example | Description |
|---|---|---|
property | name | Access a direct property |
prop.nested | user.email | Access nested properties |
array[index] | items[0] | Access array element by index |
array[i] | items[i] | Wildcard: Collect all array elements |
arr[idx].prop | users[0].name | Access property of array element |
arr[i].prop | items[i].value | Wildcard: Collect properties from all array elements |
a[0].b[1].c | data[0].items[2].value | Deep nested access |
Error Messages
- Cannot read property of null or undefined: You tried to access a property on a null/undefined value
- Property does not exist: The requested property is not present in the object
- is not an array: You used array syntax on a non-array value
- Array index out of bounds: The array index is too large or negative
- Invalid JSON: Your JSON data has syntax errors
Tips & Tricks
- Use the sample button to load example data and experiment with queries
- Array indices are zero-based (first element is at index 0)
- Leave the path empty to view the entire JSON structure
- The tool shows the data type of your result (string, number, object, array, etc.)
- Perfect for validating API responses and testing data transformation logic
Common Use Cases
- API Testing: Extract specific fields from API responses to verify correctness
- Data Validation: Navigate complex data structures to validate nested values
- JSON Debugging: Quickly inspect deeply nested values without writing code
- Configuration Management: Query application configuration objects
- Data Transformation: Understand JSON structure before writing transformation logic