URL Toolkit

A suite of tools designed for handling and opening of URLs. Whether you’re dealing with a single link or navigating through a jungle of URLs embedded in text, these tools should be of assistance. 

Bulk URL Opener

This handy tool allows you to open multiple URLs with ease. Simply paste your list of URLs into the textbox, and our tool will launch each link in a new tab or window. It’s an ideal solution for quickly accessing a batch of web pages without the hassle of manually entering each address.

Open URLS from a Text Blob

Dealing with a large block of text containing URLs?Paste your text, and this tool will identify and extract every URL, opening each in a separate tab or window. It’s perfect for researching or sorting through large documents filled with web links.

Save URLS from a Text Blob in a TXT File

For those who need to organize and save URLs, this tool extracts all URLs from your pasted text and compiles them into a neat txt file, one URL per line. Download the file for easy access and reference.

A note about REGEX

Regular Expressions, commonly known as REGEX, are a fundamental part of these URL tools. REGEX is a sequence of characters that forms a search pattern, primarily used for string matching within texts. In the context of our tools, REGEX is employed to identify and extract URLs from various formats of text. This method is key for its precision and efficiency, allowing our tools to perform complex operations like extraction and organization effectively.

Examples of REGEX for URL Extraction:

REGEX Pattern for Simple URL Extraction


This pattern identifies most URLs that start with http:// or https://. It’s a general-purpose REGEX that captures the vast majority of web addresses. For example from this: 

“Visit our site at http://www.example.com for more info”

the pattern will extract:


REGEX Pattern for Complex URL Extraction


This is a more complex REGEX pattern that identifies URLs starting with http or https, and includes various characters often found in URLs, such as parameters and anchors. For example from this: 

“Check this: https://www.example.com/page?ref=123#section2”

the pattern will extract:


By incorporating these REGEX patterns, you can build tools can efficiently sift through text, accurately identifying and extracting URLs, emails or any other information that follows a pattern (phone numbers, etc.). REGEX is a little hard for us humans to understand, but very fast for computers to process.