Query String Parser takes chaotic, mile-long URL tracking queries (like `?utm_source=google&q=shoes%20sale&filter=true`) and parses them into a perfectly structured, human-readable JSON object. Dealing with deeply nested marketing links, messy OAuth redirect URIs, or complex API GET requests natively in your browser address bar is a nightmare. This tool breaks them out into clearly readable key/value mapping.
Query strings append data to HTTP requests using a strict syntax: `?` starts the chain, `=` assigns values to keys, and `&` separates the pairs. Because URLs cannot natively contain spaces or most symbols, data must be URL-encoded (percent-encoded). This parsing tool algorithmically rips apart the string delimited by `&`, cleanly applies a Javascript `decodeURIComponent()` to both sides of the `=n`, and organizes the output structurally into JSON.
You can paste the entire URL! The parser is intelligent enough to automatically search for the first `?` iteration, strip away the base domain and pathway, and exclusively parse the parameters.
The parser is natively built to perform a full `decodeURIComponent()` pass. A messy string like `%3Cscript%3E` will instantly be deciphered back into its readable state `<script>`.
If the string contains duplicate keys (e.g., `?color=red&color=blue`), modern standards dictate they should be grouped. Our parser intelligently converts duplicate keys into a standard JSON Array format (e.g., `[red, blue]`).
Absolutely. The parsing logic executes locally within your web browser memory. No data is sent to external servers.
Yes, if you switch your workflow, you can pop that JSON right into our "Query String Builder" to recreate the raw URL string.
Yes, always 100% free with unlimited parsing.
Tool workspace
Free Query String Parser online — instantly parse massive URL query parameters into a clean, readable JSON object. Automatically URL-decodes all keys and values. No login.
Output
Input
https://example.com/shop?category=shoes&sort=price_asc&q=red%20sneakers
Output
{ "category": "shoes", "sort": "price_asc", "q": "red sneakers" }