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JSONPath REPL Playground

· Last updated：2026-06-24

An interactive JSONPath REPL that runs multi-step query pipelines against any JSON. Write one JSONPath expression per line (e.g. $..book[?(@.price<10)] then $[0:5]) and see each step's matches with counts, paths, and values — plus a shareable URL that encodes your data and pipeline. Supports recursive descent ($..), wildcards ([*]), filters ([?(@.price<10)]), slices ([0:5:2]), and negative indices.

Details

What this tool helps you do

A read-eval-print loop for JSONPath queries, built for debugging API responses and exploring JSON datasets:

  1. Paste JSON into the data field (defaults to the classic "store/book" example).
  2. Write a pipeline — one JSONPath expression per line; each line runs against the previous line's output.
  3. See every step — each line renders its own card with the expression, match count, and matched nodes.
  4. Share it — generates a URL-safe token encoding your JSON + pipeline.
  5. Supported syntax — $ root, .key / ['key'], * wildcard, .. recursive descent, indices, [start:end:step] slices, [?(expr)] filters.

Runs fully offline.

Execution

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Fill in the form, run the tool, and review the result in one place.

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Written by the Elysia Tools team
JSON107
SQL43
API35
URL32
Query23
Slice10

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
Development
Input types
textarea, select, number, text
Output type
html
Sample coverage
4
API ready
Yes

Overview

The JSONPath REPL Playground is an interactive, offline-first tool designed for building and debugging multi-step JSONPath query pipelines. By writing one expression per line, you can instantly evaluate complex queries against any JSON payload, inspect match counts, paths, and values at every step, and generate shareable URLs containing your data and pipeline configuration.

When to use

  • When debugging complex API responses that require filtering, slicing, or recursive descent to extract specific nested values.
  • When building multi-step JSONPath pipelines where the output of one query serves as the input for the next.
  • When you need to share a specific JSON dataset and its corresponding query pipeline with team members via a shareable URL.

How it works

  1. 1Paste your raw JSON data into the input field.
  2. 2Write your query pipeline in the text area, using one JSONPath expression per line to process data sequentially.
  3. 3Select your preferred render mode (Values only, Paths + values, or Raw) and set the maximum results limit.
  4. 4Inspect the generated cards showing the match count, paths, and values for each step of your pipeline.

Use cases

  • Extracting and filtering specific fields from large nested API responses.
  • Testing and validating complex JSONPath expressions before implementing them in application code.
  • Documenting and sharing JSON data extraction steps with team members using encoded URLs.

Compare alternatives

  • Compare two JSON payloads and render a visual HTML diff with path-level additions, removals, changes, and statistics

  • Infer JSON Schema from sample JSON, optionally merge manual schema edits, and validate data against the active schema

  • Convert JSON data into C# classes with PascalCase properties, JsonPropertyName attributes, and nested type inference

Who it's for

Best for

  • Encode JSON text in the browser.
  • Workflows where Render mode matters, such as Values only (pretty JSON) or Paths + values.
  • The “Find cheap books, then list their titles” workflow, done in one pass.

Not ideal for

  • Fully automated batch jobs — this page is built for interactive use; use the API endpoint for scripts.
  • Content in other formats — this tool expects JSON text.

Edge cases & common failures

  • Trailing commas or single quotes

    Strict JSON parsers reject them — remove trailing commas and switch to double quotes before validating or formatting.

  • Very large files

    Large files take longer and can hit browser memory limits — try a smaller sample first.

  • Skipping the output check

    Compare the first rows or pages of the output with the input before using it in production.

Examples

1. Filtering and Projecting Book Titles

Backend Developer

Background

A developer needs to extract the titles of all books in a store catalog that cost less than 10 dollars.

Problem

The catalog is nested, and the developer needs to filter by price and then isolate only the title strings.

How to use

Paste the store JSON into the data field, then enter `$..book[?(@.price < 10)]` on the first line of the pipeline and `$[*].title` on the second line.

Pipeline:
$..book[?(@.price < 10)]
$[*].title

Outcome

The tool outputs a list of matching titles: ["Sayings of the Century", "Moby Dick"].

2. Slicing Specific Array Elements

QA Engineer

Background

A QA engineer is testing an API response and wants to verify the first two fiction books in a list.

Problem

The response contains mixed categories, and the engineer needs to filter for 'fiction' and slice the first two results.

How to use

Paste the JSON payload, set the render mode to 'Paths + values', and write a two-line pipeline: `$.store.book[?(@.category == "fiction")]` followed by `$[0:2]`.

FAQ

What is a multi-step query pipeline in this tool?

It allows you to chain queries sequentially. Each line in the pipeline text area runs its JSONPath expression against the output of the previous line.

Does this tool support filtering and slicing?

Yes, it supports standard JSONPath filter expressions like [?(expr)] and array slicing syntax like [start:end:step].

Is my JSON data sent to a server?

No, the playground runs entirely offline in your browser, ensuring your data remains private.

How does the sharing feature work?

It generates a URL-safe token containing your JSON data and pipeline configuration, which you can copy and share with others.

What render modes are available?

You can choose between 'Values only' (pretty JSON), 'Paths + values' (showing the exact JSONPath location for each match), and 'Raw'.

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