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JSONJSON Query Tool

JSON Query Tool

Free online JSON query tool. Extract values from JSON using dot-notation paths with array index support. See extracted value type and detailed error messages for missing keys or out-of-bounds access. 100% browser-based with zero uploads.

100% browser-based — your data never leaves your device

Dot Notation PathsArray Index SupportType DisplayError Feedback
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Tool

Extract values from JSON using dot-notation and bracket-notation paths.

Dot Notation Paths

Query values using intuitive dot-notation paths like address.city or users.1.name.

Array Index Support

Access array elements with bracket notation like items[0] or nested like data.items[2].title.

Type Display

See the data type (string, number, boolean, object, array, null) of each extracted value.

Error Feedback

Clear error messages when paths don't exist or JSON is invalid, showing exactly where the path failed.

How to Use

1

Paste JSON data

Enter your JSON object or array in the JSON input area.

2

Enter a query path

Type a dot-notation path like users.0.name or data.items[0].id to target specific values.

3

View extracted result

Click Query to see the extracted value with its type (string, number, object, array, etc.).

Drop a file here or click to browse

0 chars0 words0 lines
Ln 1, Col 1

Ctrl+Enter to query

Frequently Asked Questions

Dot notation (user.name), bracket notation for arrays (items[0]), and mixed (data.users[1].email).

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How to Use the Free Client-Side JSON Query Tool

This tool extracts values from JSON using dot-notation and bracket-notation paths, executing the query entirely in your browser. It reports the value together with its data type, so you can confirm not just what a path returns but what kind of thing it is.

If the path fails, a clear error message shows exactly which part of the path broke.

  1. Enter your JSON object or array in the JSON input area.
  2. Type a query path such as users.0.name or data.items[0].id.
  3. Click Query to see the extracted value and its type (string, number, object, array, or null).

When to Use JSON Query Tool

Large API responses are impractical to read line by line, and this tool turns them into a targeted lookup mechanism. Instead of scanning thousands of lines to find one value, you write the path and get the answer instantly, which is the fastest way to confirm the shape of a nested object during debugging. It doubles as a structure tester: running a query against a path proves whether that path exists and what it holds, which is invaluable when you are writing code that will dereference the same structure.

Dot notation handles the common cases, and bracket notation reaches array elements with zero-based indices and keys containing spaces or special characters. The type display closes the loop, so you know immediately whether a value is a string, number, boolean, object, array, or null. Because the tool runs locally, you can query production responses that contain customer identifiers or internal tokens without sending them anywhere.

JSON Query Tool Tips and Best Practices

  1. Use bracket notation for keys with spaces or special characters, such as data['first name'] or data.items[0]['@id'].
  2. Remember that array indices start at zero, so items[0] is the first element and negative indices are not supported.
  3. Match key casing exactly; JSON keys are case-sensitive, and User.name differs from user.name.
  4. Skip JavaScript optional chaining syntax. This tool uses plain dot and bracket paths, not the question mark forms.

Why Client-Side Privacy Matters for Extracting Specific Values from Sensitive API Responses

The response bodies you query are often the very data you are trying to protect: authentication payloads, customer records, or internal service data. Sending a full response to a remote query service just to read one field is a disproportionate privacy cost.

This JSON Query Tool evaluates paths locally in your browser, so the entire document stays on your device. You can extract values from production data freely, without a single byte leaving your machine.

How to Use JSON Query Tool

1

Paste JSON data

Enter your JSON object or array in the JSON input area.

2

Enter a query path

Type a dot-notation path like users.0.name or data.items[0].id to target specific values.

3

View extracted result

Click Query to see the extracted value with its type (string, number, object, array, etc.).

Examples

Practical examples to help you get the most out of JSON Query Tool:

Query nested object path

// JSON: {"user": {"profile": {"name": "Alice", "age": 30}}}
// Path: user.profile.name
// Result: "Alice" (type: string)

Query array element

// JSON: {"users": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]}
// Path: users[0].name
// Result: "Alice" (type: string)

Common Mistakes and How to Avoid Them

Using JavaScript-style optional chaining

JSON Query uses dot notation and bracket index notation only. Don't use ?. or ?[] syntax — just use path like data.items[0].name.

Case mismatch in key names

JSON keys are case-sensitive. 'User.name' and 'user.name' are different paths. Verify the exact key casing in your JSON structure.

Frequently Asked Questions

What path syntax is supported?

Dot notation (user.name), bracket notation for arrays (items[0]), and mixed (data.users[1].email).

What happens if the path doesn't exist?

A clear error message is displayed showing which part of the path failed, making it easy to debug your query.

Can I query arrays with indices?

Yes. Use bracket notation with zero-based indices: items[0] for first element, items[1] for second, etc.

Are special characters in keys supported?

Yes. Use bracket notation for keys with spaces or special characters: data['my key'] or data['@id'].

Key Features

Dot Notation Paths

Query values using intuitive dot-notation paths like address.city or users.1.name.

Array Index Support

Access array elements with bracket notation like items[0] or nested like data.items[2].title.

Type Display

See the data type (string, number, boolean, object, array, null) of each extracted value.

Error Feedback

Clear error messages when paths don't exist or JSON is invalid, showing exactly where the path failed.

Common Use Cases

JSON Query Tool is useful in a variety of scenarios across different workflows:

Extracting specific values from large JSON API responses

Debugging JSON structures by querying nested paths

Validating JSON structure by testing path existence

Tips & Best Practices

Use bracket notation for special keys

If a key contains spaces or special characters (e.g., 'first name'), use bracket notation: data['first name'] or data.items[0]['@id'].

Array indices start at 0

Use items[0] for the first element, items[1] for the second, etc. Negative indices are not supported.

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