Personalized Domain Extractor

Extract domain names from any text, articles, or logs with advanced filtering options.

Input Text & Options

Extraction Options

Extracted Domains

0 unique domains, 0 total domains

When to Use Personalized Domain Extractor

Data Analysis

Quickly extract domains from large datasets, research papers, or unstructured text for further analysis and categorization.

SEO Audits & Link Building

Identify potential linking opportunities or analyze competitor backlinks by extracting domains from content and reports.

Cybersecurity & Threat Intelligence

Scan logs, incident reports, or threat feeds to quickly identify and list suspicious or relevant domain indicators.

Content Curation & Research

Gather a list of source domains from articles, blog posts, or web pages for research, resource lists, or content aggregation.

Email List Management

Extract unique domains from email lists to segment contacts, identify common providers, or clean up data.

Web Scraping Post-Processing

After scraping web content, use this tool to quickly filter and extract relevant domains from the raw text output.

Frequently Asked Questions

What is a domain extractor?

A domain extractor is an online tool that scans text input and identifies all valid domain names within it. It offers options to filter, include/exclude subdomains, extract domains from email addresses, remove duplicates, and sort the results, providing a customized list of domains for various use cases like SEO analysis, security audits, and data research.

How do I use this domain extraction tool?

Simply paste your text into the input area, then select your desired options such as including subdomains, extracting email domains, removing duplicates, or sorting alphabetically. You can also add a keyword to filter the results. Click "Extract Domains" to see the list of extracted domains in the output section. You can then copy or download the results.

Is this domain extractor free to use?

Yes! Our domain extractor is completely free to use. You can extract unlimited domains from any text without any subscription, registration fees, or hidden costs. Process as much text as you need to extract and organize domain names for your projects.

What types of text can I use as input?

You can use any text content including articles, blog posts, research papers, log files, code snippets, email lists, or raw data. The tool is designed to identify domain patterns within various text formats and can handle URLs, email addresses, and plain domain names.

Can it extract subdomains and domains from email addresses?

Yes! The tool provides checkboxes for both options. If "Include Subdomains" is checked, it will keep domains like blog.example.com. If "Extract Domains from Email Addresses" is checked, it will find email addresses like [email protected] and extract domain.com. You have full control over what gets extracted.

Is my data stored or shared?

No, we respect your privacy. All domain extraction is performed in your browser using JavaScript. Your text input is not sent to any server, stored, or shared. Each session is independent and your data remains completely private and secure on your device.

Can I export the extracted domains?

Yes! You can easily copy all extracted domains to your clipboard with one click using the "Copy" button, or download them as a text file (.txt) using the "Download" button. The exported file contains one domain per line, making it easy to import into other tools or spreadsheets.

Is there a limit to the amount of text I can process?

While there isn't a strict character limit, processing extremely large texts (several megabytes) might take a moment. The tool is optimized for performance, but for the best experience, consider breaking down very large files into smaller chunks if you encounter delays. Most typical use cases process instantly.

Version History

NEW v1.1.0 Nov 22, 2025

Fixed domain extraction regex to properly filter out IP addresses, file paths, and invalid patterns. Now correctly extracts domains from URLs, emails, and plain text.

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