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Extract values from nested objects and arrays
Paste JSON and enter a path expression to pull nested fields without writing ad-hoc scripts. Explore structure when debugging API responses or config trees.
Path evaluation runs in your browser. Documents stay on your device.
JSON path expression
Quick examples
Deeply nested API responses bury important fields under layers of metadata. Path expressions select a subtree or scalar without manually expanding every object in an editor.
Support and QA teams use paths to confirm a flag or error code exists at the expected location across environments.
Developers prototype JMESPath-like or JSONPath-like selectors before embedding them in production code or test assertions.
Dot notation traverses object keys: root.user.email selects nested properties when each segment exists.
Array indexes appear as numeric segments: items.0.id reads the first element id field. Out-of-range indexes yield no match or errors depending on engine rules.
Bracket notation helps when keys contain dots or special characters that dot syntax cannot express cleanly.
Some path dialects support wildcards to collect matching fields across siblings or array elements. Use them to gather all id fields without naming each index.
Optional chaining semantics vary by implementation—verify behavior on missing intermediate keys with sample data.
When paths return multiple matches, the UI may list each result separately for comparison.
Empty results often mean a typo in a key name, wrong array index, or type mismatch—accessing an array as an object fails silently or with errors.
Format JSON first so key names and nesting depth are visible. Compare against OpenAPI examples when field names differ between staging and production.
Log the intermediate object at each path segment in code when browser results disagree with server-side extraction.
Copy working path expressions into contract tests that assert critical fields exist after deploy.
Monitoring tools sometimes evaluate paths on metric JSON; validate expressions here on sample payloads before alerting.
Document canonical paths in runbooks so on-call engineers query logs consistently.
Large documents evaluate quickly for single paths in the browser. Paths that scan entire trees with wildcards cost more on megabyte payloads.
Split huge telemetry batches and query one record at a time when exploration feels sluggish.
Path syntax is not standardized universally—confirm dialect matches your backend library before production use.
Format the response, identify the errors array or object, then build a path like errors.0.code step by step.
Test the path after each segment to catch renamed fields early.
When every element shares shape, wildcards collect fields such as all prices without indexing manually.
Verify result count matches array length to ensure nothing was skipped.
Common questions
The UI documents the supported dialect—often dot notation with optional bracket and wildcard forms.
Missing keys typically yield no result or an error message explaining the break point.
Yes. An empty or root path returns the entire document depending on tool conventions.
No. Path evaluation is read-only.
Wildcard or recursive selectors may return multiple matches when supported.
No. Evaluation happens locally in the browser.
Yes. Everything runs in your browser. Your input is not uploaded, logged, or stored on our servers.
No account or sign-up is required. Open the page and start using the tool immediately.