Key Facts
- Category
- Data & Tables
- Input Types
- textarea, select, checkbox, number
- Output Type
- html
- Sample Coverage
- 4
- API Ready
- Yes
Overview
The JSON Path Extractor allows developers and data analysts to query complex JSON documents using JSONPath or JMESPath expressions. It instantly evaluates your queries, extracts matching nodes, and highlights the results directly within the original JSON structure for easy visual inspection and debugging.
When to Use
- •When you need to extract specific fields or objects from deeply nested API responses.
- •When filtering large JSON arrays based on conditional logic, such as finding items over a certain value.
- •When testing and debugging JSONPath or JMESPath expressions before implementing them in your application code.
How It Works
- •Paste your raw JSON payload into the input area.
- •Enter one or more JSONPath or JMESPath expressions, placing each on a new line.
- •Select your preferred query engine and adjust settings like array flattening or null value inclusion.
- •Review the extracted data either as a list of matches or highlighted directly within the original JSON.
Use Cases
Examples
1. Extracting Admin Users from API Response
Backend Developer- Background
- A developer is inspecting a user list API response containing dozens of user objects with various roles.
- Problem
- Needs to quickly verify which users have the 'admin' role without manually reading the entire JSON payload.
- How to Use
- Paste the JSON response, select the JSONPath engine, and enter `$.users[?(@.role == "admin")]` in the query expressions field.
- Example Config
-
Query Engine: JSONPath, Display Mode: Highlighted JSON - Outcome
- The tool highlights only the user objects where the role is 'admin' directly in the JSON view, making them easy to spot.
2. Finding High-Value Order Items
Data Analyst- Background
- An analyst has a nested JSON export of customer orders and their individual line items.
- Problem
- Needs to extract the SKUs of all items priced at $19 or higher across all orders.
- How to Use
- Input the order JSON, switch to the JMESPath engine, and query `orders[*].items[?price >= 19][*].sku`.
- Example Config
-
Query Engine: JMESPath, Display Mode: Match List, Flatten Arrays: True - Outcome
- Outputs a clean, flat list of SKUs for all items meeting the price condition, ignoring the rest of the order data.
Try with Samples
jsonRelated Hubs
FAQ
What is the difference between JSONPath and JMESPath?
JSONPath is a standard query language for JSON, often using `$.` syntax. JMESPath is another query language optimized for complex filtering and transformations, commonly used in tools like the AWS CLI.
Can I run multiple queries at once?
Yes, you can enter multiple expressions by placing each one on a new line in the query input field.
What does the 'Flatten Array Results' option do?
It merges nested arrays returned by your queries into a single, flat list, making it easier to read and copy the extracted values.
How are the results displayed?
You can choose 'Highlighted JSON' to see matches colored within your original input, or 'Match List' to see only the extracted values and their exact paths.
Is there a limit to the number of matches?
Yes, to ensure performance, the tool limits the output to a maximum number of matches, which you can adjust up to 200 using the settings.