🔍 JSONPath Evaluator - JSON Query Tester
Professional JSONPath testing tool for developers to query JSON data using JSONPath expressions. Features real-time evaluation, multiple result formats (values/paths/both), syntax validation, and comprehensive JSONPath reference guide for API testing, data extraction, and JSON processing.
JSONPath Results:
$.users[*].name → 3 matches found
Query executed successfully
📝 Query Details
$.users[*].name
✨ Query Results
📚 JSONPath Quick Reference
⚡ Processing Summary
How to Use This JSONPath Evaluator - JSON Query Tester
The JSONPath Evaluator is a powerful tool for testing and debugging JSONPath queries on JSON data. Simply paste your JSON data, enter a JSONPath expression, and instantly see the matched results.
How to Use:
- Paste JSON Data: Copy your JSON into the input area - it will be validated automatically
- Enter JSONPath Query: Write your JSONPath expression starting with $ (root)
- Choose Result Format: Select values only, paths only, or both
- Execute Query: Click "Evaluate JSONPath" to see results instantly
- Copy or Download: Use the buttons to copy results or download as JSON
JSONPath Syntax Examples:
$.users[*].name- Get all user names$.products[0].price- Get first product price$..category- Find all category fields recursively$.items[?(@.price > 100)]- Filter items over $100$.data[0:3]- Get first 3 array elements
How It Works
The JSONPath Evaluator uses a JavaScript-based JSONPath engine to parse and execute queries against your JSON data in real-time.
Processing Steps:
- JSON Validation: Input JSON is parsed and validated for syntax errors
- Query Parsing: JSONPath expression is analyzed for syntax and structure
- Path Evaluation: The query is executed against the JSON data structure
- Result Collection: Matched nodes are collected with their values and paths
- Format Output: Results are formatted according to your preferences
Supported JSONPath Features:
- Root Selector: $ represents the root element
- Property Access: .property or ['property']
- Array Operations: [0], [-1], [start:end], [*]
- Recursive Descent: .. searches all descendant nodes
- Filter Expressions: [?(@.property operator value)]
- Multiple Selectors: [0,2,5] selects multiple indices
When You Might Need This
- • API Response Processing - Developers extract specific fields from complex REST API JSON responses, filtering user data, product information, and nested configuration settings for frontend applications and mobile apps
- • Configuration Management - DevOps engineers query nested configuration files, extracting environment variables, database connection strings, and service endpoints from JSON config files across multiple deployment environments
- • Data Analysis & Reporting - Data analysts filter and extract metrics from large JSON datasets, pulling specific KPIs, user analytics, and business intelligence data for dashboards and automated reporting systems
- • Testing & Quality Assurance - QA engineers validate API responses by extracting test data, verifying expected values in JSON payloads, and creating automated test assertions for continuous integration pipelines
- • Log Analysis & Monitoring - System administrators parse structured JSON log files to extract error messages, performance metrics, and security events from application logs, server monitoring, and audit trails
- • Database Query Results - Backend developers process JSON query results from NoSQL databases like MongoDB, extracting specific document fields and transforming nested data structures for application consumption
- • Frontend State Management - Frontend developers navigate complex application state objects, extracting user preferences, component data, and application settings from Redux stores and Vue.js state management
- • ETL Data Processing - Data engineers transform and extract data during ETL operations, filtering JSON records, mapping data fields, and preparing datasets for data warehousing and analytics platforms
- • Monitoring & Alert Systems - Operations teams extract metrics and thresholds from monitoring system JSON outputs, creating custom alerts based on specific performance indicators and system health metrics
- • Documentation & Training - Technical writers create JSONPath examples and tutorials, demonstrating query syntax for API documentation, developer onboarding materials, and educational content for JSON data manipulation
Frequently Asked Questions
What is JSONPath and how does it work?
JSONPath is a query language for JSON, similar to XPath for XML. It uses a string syntax to select and extract values from JSON documents. JSONPath expressions start with '$' (root) and use dots, brackets, and special operators to navigate JSON structures. For example, '$.users[*].name' selects all name fields from a users array.
How do I query arrays and nested objects effectively?
Use [*] for all array elements, [0] for specific indices, [start:end] for slicing, and dot notation for nested objects. Examples: '$.products[*].price' gets all prices, '$.data.users[0].profile.email' navigates nested structures, and '$..category' recursively finds all category fields anywhere in the JSON.
What's the difference between values, paths, and both result formats?
Values format shows only the matched data (e.g., ['John', 'Jane']). Paths format shows the JSONPath locations (e.g., ['$.users[0].name', '$.users[1].name']). Both format displays matched values alongside their corresponding paths, which is helpful for understanding exactly where data was found in the JSON structure.
How do I use filter expressions to find specific items?
Filter expressions use [?(@.property operator value)] syntax. The @ symbol represents the current item being evaluated. Examples: '$.products[?(@.price > 50)]' finds expensive products, '$.users[?(@.age >= 18)]' filters adult users, and '$.items[?(@.category == "electronics")]' matches specific categories. Operators include ==, !=, <, >, <=, >=.
Can I test multiple JSONPath queries on the same JSON data?
Currently, the tool evaluates one JSONPath query at a time for focused testing and clear results. To test multiple queries, simply change the JSONPath expression field and click "Evaluate JSONPath" again. This approach helps you understand each query's behavior individually and compare results effectively. For complex data extraction, consider using recursive descent (..) or multiple array selectors.