JSON value extractor online

A json value extractor collects scalar values from nested objects based on depth rules you set. Where a key extractor inventories property names, this tool outputs the actual strings, numbers, and booleans sitting at each level — a practical json key value extractor when you need samples, not just labels.

The json value extractor online updates live as you paste. Choose whether nested objects appear as placeholders, whether strings get wrapped in quotes, and how lines separate in the output list.

This is not JSONPath selection by key name — it gathers values by tree depth, which suits homogeneous API trees where you want every leaf at level three, for example. For path-based lookup, use JSON Path Finder on the same site.

Processing stays in the browser, so you can run the json key value extractor on customer exports and staging payloads without cloud upload policies blocking the job.

Paste valid JSON into the input panel. Values list automatically in the result column — no manual run step. Set depth to asterisk for all levels, a single integer for one layer, or a range like 1-3 for selective extraction.

Toggle Wrap in quotes when your next destination expects JSON string literals. Toggle Show complex types when you want arrays and objects flagged as [array] or <object> instead of being skipped silently.

Pick a separator — new line, tab, or comma — that matches Excel paste, SQL IN lists, or test assertion arrays. Copy or download extracted-values.txt when the list is long.

Import a file when the payload is large. Clear the editor after working with regulated data on a shared workstation.

Root depth is 1. Values directly inside the top-level object appear when depth 1 is targeted. Deeper scalars require broader depth settings or an asterisk wildcard.

Booleans and numbers stringify without quotes unless you enable wrapping. Null becomes the text null in the output list.

Nested objects and arrays can print as compact markers when Show complex types is on — helpful when you want to see structure boundaries without dumping full serialized subtrees.

Mixed-type trees produce mixed output lines. Review a short sample before piping thousands of values into production scripts.

Analysts export catalog JSON and need every price field copied into a column — depth filtering keeps parent metadata out of the list.

QA verifies all status strings equal success across a fixture array before release by scanning extracted values for unexpected tokens.

Developers prototype data transforms before coding recursive walkers in Python or TypeScript — the json key value extractor online shows what a depth-first pass would emit.

Support engineers pull id values from verbose log JSON to build bulk lookup requests without hand-clicking through nested viewers.

Run JSON Key Extractor first on the same paste to see which property names exist, then use this json value extractor to sample scalars under those branches.

Schema design benefits from both views — names suggest fields, values suggest types and enums before you commit to OpenAPI or JSON Schema.

When values look wrong, format the source with JSON Formatter and re-run extraction on the readable tree.

Copy values into CSV columns, SQL IN clauses, or test arrays. Dedupe in a spreadsheet when collecting unique ids from repetitive logs.

Redact sensitive extracted values before sharing lists in tickets — extraction makes PII easy to read.

The json value extractor online never uploads documents. Megabyte logs may produce huge lists that stress the clipboard — save to file instead.

Invalid JSON blocks extraction until syntax is fixed. Object-valued fields may appear as markers rather than expanded JSON unless you parse further manually.