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
Extract values from JSON using dot-notation and bracket-notation paths.
Enter your JSON object or array in the JSON input area.
Type a dot-notation path like users.0.name or data.items[0].id to target specific values.
Click Query to see the extracted value with its type (string, number, object, array, etc.).
Drop a file here or click to browse
Ctrl+Enter to query
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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.
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.
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.
Enter your JSON object or array in the JSON input area.
Type a dot-notation path like users.0.name or data.items[0].id to target specific values.
Click Query to see the extracted value with its type (string, number, object, array, etc.).
Practical examples to help you get the most out of JSON Query Tool:
// JSON: {"user": {"profile": {"name": "Alice", "age": 30}}}
// Path: user.profile.name
// Result: "Alice" (type: string)// JSON: {"users": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]}
// Path: users[0].name
// Result: "Alice" (type: string)JSON Query uses dot notation and bracket index notation only. Don't use ?. or ?[] syntax — just use path like data.items[0].name.
JSON keys are case-sensitive. 'User.name' and 'user.name' are different paths. Verify the exact key casing in your JSON structure.
Dot notation (user.name), bracket notation for arrays (items[0]), and mixed (data.users[1].email).
A clear error message is displayed showing which part of the path failed, making it easy to debug your query.
Yes. Use bracket notation with zero-based indices: items[0] for first element, items[1] for second, etc.
Yes. Use bracket notation for keys with spaces or special characters: data['my key'] or data['@id'].
Query values using intuitive dot-notation paths like address.city or users.1.name.
Access array elements with bracket notation like items[0] or nested like data.items[2].title.
See the data type (string, number, boolean, object, array, null) of each extracted value.
Clear error messages when paths don't exist or JSON is invalid, showing exactly where the path failed.
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
If a key contains spaces or special characters (e.g., 'first name'), use bracket notation: data['first name'] or data.items[0]['@id'].
Use items[0] for the first element, items[1] for the second, etc. Negative indices are not supported.
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