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JSON keys extractor

List all the keys of a JSON object as dot-notation paths. Works on a pasted block or on a file you drop in.

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Open JSON keys extractor and you get an answer straight away, with no account to create. Its place is under JSON, XML & formats; Markdown link extractor and CSV to JSON converter answer the questions closest to this one.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What is JSON keys extractor?

List all the keys of a JSON object as dot-notation paths. Works on a pasted block or on a file you drop in.

When would I actually use this?

Making a machine-generated blob readable, finding the character where a parse fails, and shrinking a file before it ships.

What is the most common mistake?

Assuming valid means correct. A document can parse cleanly and still have the wrong shape for whatever will read it — validation checks the syntax, not the schema.

How is JSON keys extractor different from Markdown link extractor?

They sit next to each other but answer different questions: Markdown link extractor is the one to open when you need it to pull all the links out of Markdown text. Paste the text or drop the file; nothing leaves the page either way. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

CSV to JSON converter is the closest one after this: Parse CSV text (with header row) into a JSON array of objects, handling quoted fields. Drop a file in rather than pasting it — it is read in your browser and never uploaded.

What else is worth having open alongside it?

JSON comment remover and JSON flattener — they come up in the same task often enough to be worth a second tab.

Where do the figures come from?

Parsing and serialisation follow each format's specification. Key order and whitespace are not semantically meaningful in JSON or YAML, so a reformatted document is equivalent even when the bytes differ.

Further reading

All guides →
ExplainerCSV to JSON: The Five Cases That Break Every ConverterQuoted delimiters, embedded newlines, ambiguous types, duplicate headers and encoding. Each one was run through the converter and the exact output is printed here — including the two cases it does not rescue.ExplainerJSON Is Simpler Than You Think, and That Is the ProblemJSON has no integer type, no date type, no comments and no schema. Every one of those absences produces a specific bug: a 19-digit ID comes back off by 21, a timestamp becomes a string nobody agreed on, NaN cannot be written down, and duplicate keys are legal. All of it run, in two languages.How-toHow to Convert JSON to CSV: Flattening Arrays of Objects into Rows and ColumnsA practical guide to turning a JSON array of objects into a clean CSV file, including how to flatten nested fields and handle the tricky edge cases.ExplainerJSON to CSV When the Structure Is Nested: Why There Is No Right AnswerThe same two orders come out as five columns from one converter and ten from another, and neither is wrong. Dotted paths, arrays of scalars, arrays of objects and records with different keys — four decisions, made for you, usually silently.ExplainerXML to JSON: Attributes, Repetition, and the Single-Element Array TrapTwo documents that differ only in how many children exist produce two different JSON shapes, and no converter can tell them apart without a schema. Plus what this one really does with attributes, mixed content and whitespace — and the one thing it still cannot record.ComparisonJSON vs XML: What's the Difference?JSON and XML both store structured data as text, but they trade off differently. Here's how each looks, where each wins, and how to choose.