JSON Query Tool
Query and extract data from JSON using JQ-like expressions with real-time results and syntax highlighting.
JSON Data
Query Expression
Query Result
Execute a query to see results here
Query Examples
Get all values
Returns the entire JSON object
Get specific field
Returns the value of the "name" field
Get nested field
Returns a nested field value
Get array element
Returns the first element of an array
Get all array elements
Returns all elements in an array
Filter array
Filters array elements based on condition
Map array
Extracts specific field from each array element
Get object keys
Returns all keys of the root object
Related JSON Tools
JSON Minifier
JSON Beautifier
JSON Converter
JSON Schema Validator
What is JSON Query Tool?
JSON Query Tool is a powerful data extraction and transformation tool that uses JQ-like expression syntax to query JSON documents. It allows you to extract specific data from complex JSON structures, filter arrays, transform data formats, making it an essential tool for API testing, data analysis, and JSON processing.
Unlike traditional JSONPath, JQ expressions provide more powerful data processing capabilities, including conditional filtering, data mapping, aggregation operations, and other advanced features, enabling you to easily handle various complex JSON data query requirements.
Core Features
JQ Expression Support
Full support for JQ expression syntax, including filters, mapping, conditional queries, array operations, and other advanced features.
Real-time Query Results
Display results immediately after entering query expressions, with syntax highlighting and error prompts.
Syntax Validation
Intelligent syntax checking with detailed error messages and fix suggestions.
Multi-format Export
Support exporting query results to multiple formats including JSON, CSV, text, and more.
Example Templates
Built-in rich query examples and templates to help you get started and learn quickly.
File Upload
Support direct JSON file upload for querying and processing large data files.
Use Cases
API Response Analysis
Extract specific fields from complex API responses for data analysis and processing.
Data Filtering & Transformation
Filter JSON arrays based on conditions and transform data structures and formats.
Configuration File Parsing
Parse and extract specific settings and parameters from JSON configuration files.
Testing & Debugging
Test JQ expressions during development and debug JSON data structures.
Data Mining
Mine specific data points and patterns from large JSON datasets.
Report Generation
Extract key information from JSON data sources for reports and analysis.
JQ Expression Examples
Basic Selector
Return the entire JSON object
Field Access
Access nested fields
Array Element
Get the first element of array
Array Iteration
Iterate through all array elements
Conditional Filtering
Filter items with price greater than 100
Field Mapping
Extract the name of each item
Object Keys
Get all keys of the object
Array Length
Get the length of array
Sample JSON Data
{
"user": {
"name": "John Doe",
"age": 30,
"profile": {
"email": "john.doe@example.com",
"location": "New York",
"preferences": {
"theme": "dark",
"language": "en-US"
}
}
},
"items": [
{
"id": 1,
"name": "Laptop Computer",
"price": 5999,
"category": "Electronics",
"tags": ["computer", "office", "portable"]
},
{
"id": 2,
"name": "Programming Book",
"price": 89,
"category": "Books",
"tags": ["programming", "technology", "learning"]
},
{
"id": 3,
"name": "Smartphone",
"price": 3999,
"category": "Electronics",
"tags": ["phone", "communication", "entertainment"]
}
],
"settings": {
"notifications": true,
"autoSave": false,
"maxItems": 100
},
"metadata": {
"version": "1.0.0",
"lastUpdated": "2024-01-15T10:30:00Z",
"totalItems": 3
}
}Frequently Asked Questions
What are JQ expressions?
JQ is a lightweight and flexible command-line JSON processor. JQ expressions are a language specifically designed for querying and transforming JSON data, providing more powerful features than JSONPath, including conditional filtering, data mapping, aggregation operations, and more.
How to filter elements in an array?
Use the select() function with conditional expressions. For example: .items[] | select(.price > 1000)can filter items with price greater than 1000. Supports various comparison operators: >, <, >=, <=, ==, !=.
How to handle nested JSON structures?
Use dot notation (.) to connect field names for accessing nested structures. For example: .user.profile.emailcan access deeply nested email fields. You can also use the recursive descent operator (..) to search all levels.
What is the purpose of the pipe operator (|)?
The pipe operator is used to pass the output of the previous expression as input to the next expression, enabling chained operations. For example: .items[] | select(.category == \"Electronics\") | .namefirst filters electronics, then extracts names.
How to handle fields that may not exist?
Use the optional operator (?) to safely access fields that may not exist. For example: .user.profile?.phonewill return null instead of an error if the phone field doesn't exist.
What data type operations are supported?
JQ supports all JSON data types: strings, numbers, booleans, arrays, objects, and null. It provides rich built-in functions to handle different types of data, such as length, keys, values, type, etc.
Tips and Best Practices
Performance Optimization
- • Filter data early to reduce the amount of data for subsequent processing
- • Avoid unnecessary recursive operations (..), prefer using precise paths
- • For large arrays, consider using limit() to restrict result count
Error Handling
- • Use try-catch structures to handle potential errors
- • Utilize optional operator (?) to avoid accessing non-existent fields
- • Use empty to filter out null or empty values
Code Readability
- • Break down complex queries into multiple simple steps
- • Use meaningful variable names and comments
- • Keep expressions concise and avoid excessive nesting
Debugging Tips
- • Build queries step by step, adding one operation at a time
- • Use debug function to output intermediate results
- • Utilize type function to check data types