A free tool to break down URLs into components and view domain, path, query, and more at a glance.
Simply paste any text or document, and this free online tool will automatically extract all URLs! It instantly breaks down and displays each URL component, including protocol, domain, FQDN, path, and query parameters.
Complex query parameters are neatly organized into easy-to-read "key-value" badges. You can analyze multiple URLs in bulk and download the results as a CSV file. Ideal for web development, analytics, and SEO parameter management.
Extract URLs from text and analyze their structure in just 3 simple steps.
Paste a URL or any text containing URLs into the input area. The tool will automatically detect and extract the URLs, analyzing them in real-time. You can also paste multiple URLs separated by newlines for bulk processing.
The extracted URLs are instantly displayed in a clean table format. Along with domains and paths, complex query parameters (?key=value) are split into intuitive "key-value" badge designs, making parameter verification a breeze.
The entire analysis table can be downloaded in CSV format. Keep the data extracted from large volumes of URLs locally for easy management and analysis using Excel or spreadsheets.
Paste raw text, and the system will automatically find, extract, and list all the URLs contained within it.
Long and complex query parameters are automatically split and displayed as intuitive key-value badges for quick readability.
Process huge lists of URLs instantly in your browser. Download the parsed data as a CSV file with a single click for efficient data management.
Extraction and analysis are completed the moment you paste your text. No reloading or waiting time required.
Use the tool instantly in your browser without installation or the hassle of creating an account.
Those who need to quickly verify URL structures like hostnames, FQDNs, or query parameters during development.
Those who need to check canonicalization of large URL lists, or extract and organize parameters before running access analytics.
Those aiming to grasp and organize the structure of a website where multiple domains and subdomains are mixed.