The Query Parameter Extractor reads a list of URLs and breaks every query string into individual key and value pairs, decoding percent-encoding and plus signs along the way. Each parameter becomes its own row in a table, complete with the source URL it came from, so you can inspect the parameters across an entire batch of links in one place instead of one URL at a time.
It is built for developers, QA engineers, marketers, and analysts who work with tracking links, campaign URLs, API requests, and logged addresses. Rather than manually decoding a wall of ampersands and percent codes, you paste all your URLs and instantly see a clean breakdown of which parameters each link carries and what values they hold.
Parsing runs entirely in your browser with JavaScript, so none of your URLs are uploaded. Repeated keys are preserved as separate rows, values are fully decoded for readability, and the source URL column lets you trace every parameter back to the exact link it belongs to.
Features
- Processes many URLs at once, extracting the query parameters from each and combining them into one table.
- Isolates the query string after the question mark and ignores any fragment following a hash symbol.
- Decodes percent-encoded characters and converts plus signs to spaces so values are human readable.
- Lists every occurrence of a repeated key on its own row so multi-value parameters are never merged away.
- Includes a source URL column so each parameter row can be traced back to the exact link it came from.
- Handles keys without a value gracefully, showing them with a blank value rather than skipping them.
- Exports the parameter table to CSV or XLSX, or copies it to the clipboard for analysis and reporting.
How to use Query Parameter Extractor
- Paste your URLs into the input box, one per line or separated by spaces.
- Let the extractor run automatically and read the resulting table of key, value, and source rows.
- Scan the decoded values to confirm tracking tags, tokens, or filters contain what you expected.
- Look for repeated keys, which appear as separate rows, to understand multi-value parameters.
- Use the source URL column to trace any parameter back to the specific link it originated from.
- Export the table to CSV or XLSX, or copy it, to attach to a ticket or import into a spreadsheet.
Benefits
- Developers debug API calls and redirects by seeing every parameter each URL carries at once.
- QA engineers verify that generated links across a batch include the correct encoded parameters.
- Marketers audit many campaign URLs together to confirm UTM tags are present and spelled correctly.
- Analysts pull apart logged URLs in bulk to understand user filters, search terms, and pagination.
- Support teams paste several customer links to quickly spot a malformed or missing parameter.
- Local processing keeps URLs with session tokens and signed parameters private on your device.
A query string begins after the question mark in a URL and consists of key=value pairs joined by ampersands, with reserved characters percent-encoded and spaces often written as plus signs. This tool reverses that encoding for every parameter it finds, so a value like %40 becomes an at sign and a plus becomes a space, letting you read the genuine content rather than its transport form.
Handling many URLs at once is what sets this apart from a single-URL parser. When you are auditing an export of tracked links or comparing campaign variants, seeing all parameters side by side with their source URLs makes inconsistencies jump out, such as a missing UTM term on one link or an extra tracking tag on another. The source column keeps every row traceable no matter how many links you paste.
Because parsing is performed locally in your browser, nothing you paste is uploaded or stored, which matters because URLs frequently embed session tokens, signed parameters, and internal identifiers. Repeated keys are kept as distinct rows rather than collapsed, so multi-value parameters are represented faithfully. If you only need to inspect a single URL in depth, the Query String Parser is a focused companion.