This online JSON query tool lets you extract, filter and transform data from any JSON document using JavaScript expressions and JSONPath-style selectors.
Quickly query JSON online and filter JSON objects entirely in your browser with no server upload.
data to refer to the JSON object. Use JavaScript expressions. JSON Query is the process of searching, filtering and transforming a JSON document to extract only the values you need. Instead of scrolling through thousands of lines, you write a short expression and the tool returns the matching fragment: an array of users, a single nested value, an aggregated metric or a reshaped object.
Our online JSON Query Explorer supports JavaScript expressions (filter, map, reduce, destructuring, optional chaining) as well as JSONPath-style navigation, giving you the full power of ad-hoc data querying without installing jq or writing a script.
Working with large API responses, log exports or configuration bundles in a plain text editor is painful. A dedicated online JSON Query explorer gives you syntax highlighting, live validation, instant re-evaluation as you type, and pretty-printed results — all in your browser.
It is the fastest way to explore an unknown JSON structure, prototype a selector before embedding it in code, or debug a failing integration without setting up a local environment.
data to reference the root and chain JavaScript methods such as .filter(), .map() or .reduce().Unlike command-line utilities, our tool requires no installation, no Node.js runtime and no learning curve for a custom DSL. It reuses the JavaScript syntax you already know, runs entirely client-side for privacy, and provides a dual-editor workspace with syntax highlighting powered by Monaco — the same editor engine used by VS Code.
Recent queries are remembered as autocomplete suggestions, so iterative exploration of the same dataset becomes effortless.
Traditional JSON query languages such as JSONPath borrow ideas from XPath. Expressions begin with a root symbol and use dots for child access, brackets for array indexing and special operators for filters and wildcards:
$.users[*].name — wildcard to collect every name in the users array.$.products[?(@.price > 100)] — filter expression returning only matching items.$..id — recursive descent that finds every id at any depth. In our tool you can translate those patterns directly into JavaScript: data.users.map(u => u.name), data.products.filter(p => p.price > 100), or use recursion helpers for deep search.
.json file in one click.JSON Query is useful everywhere JSON shows up:
Yes. The entire query engine runs inside your browser using JavaScript — your JSON is never uploaded to a server, never logged and never stored after you close the tab. There is no account, no analytics on your data and no third-party tracker reading the editor contents.
This client-side architecture also means the tool keeps working offline once the page is loaded, and that confidential payloads such as API keys or customer records can be inspected without leaving your machine.
DevTools is a curated suite of free, ad-free, privacy-first utilities built by developers for developers. Every tool shares the same fast editor, the same dark/light theme engine and the same commitment to keeping your data on your machine.
The JSON Query Explorer fits naturally next to the rest of the JSON toolkit — format, convert and query your data without switching tabs or tools.
Once you have the data you want, export it with a single click: Copy places the pretty-printed JSON on your clipboard, and Download saves it as query-result.json — ready to commit, share or feed into the next step of your workflow.
Pair the explorer with the rest of our JSON suite to cover every transformation scenario: JSON Formatter & Validator, JSON to XML converter, and JSON to ENV converter.
Yes, it's completely free with no registration, ads or usage limits.
No. All parsing and query evaluation happens in your browser. Your JSON never leaves your device.
Any valid JavaScript expression. Start from the data variable and chain methods like .filter(), .map(), .reduce(), .find(), or use destructuring and optional chaining.
The tool uses JavaScript as its query language, which covers the same use cases as JSONPath. Every JSONPath pattern has a direct equivalent in JavaScript — for example $.users[*].name becomes data.users.map(u => u.name).
Yes. The parser is the native browser engine, so the only limit is the amount of memory your browser tab can allocate. Documents of several megabytes query smoothly.
The error message is shown directly below the query input so you can fix the expression without losing your input JSON or previous results.
Yes. Recently used queries are stored locally in your browser and resurface as autocomplete suggestions the next time you open the page.
Deepen your knowledge of JSON querying with these reference materials:
filter, map, reduce and other methods used in queries.