Q01
Can I extract domains from URLs, emails, and logs in one pass?
Yes. Paste the mixed text and the tool will pull URL hostnames and email domains into one deduplicated list.
Domain Extractor
Extract domains from text and URLs
Extraction
🔒 100% client-side — your data never leaves this pageMaintained by ToolsKit Editorial Team•Updated: June 9, 2026•Reviewed: June 9, 2026
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Input Text
Quick CTA
Paste logs, text, or URLs first to extract domain names immediately; dedupe and scenario notes stay in Deep.
Domains
Extracted domains will appear here
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Next step workflow
Page reading mode
Deep expands pitfalls, recipes, snippets, FAQ, and related tools when you need troubleshooting or deeper follow-through.
About this tool
Extract domain names from mixed text, URLs, email addresses, logs, and pasted reports, then turn the noise into a clean deduplicated list. Use it when you need hostnames for migration QA, backlink cleanup, allowlist review, or security triage. Browser-side processing keeps private logs and draft notes on your device.
Direct Answers
Q02
When should I keep subdomains instead of only the registrable domain?
Keep subdomains when ownership, routing, CDN, or incident scope matters. Collapse later only for reporting.
Compare & Decision
Hostname list vs registrable-domain list
Hostname list
Use it for security triage, DNS ownership, allowlists, and migration QA.
Registrable-domain list
Use it for high-level reporting, vendor grouping, or backlink summary work.
Note: Start detailed when mistakes are expensive; collapse later when you only need the rollup.
Domain extraction vs full URL extraction
Domain extraction
Use it when ownership, allowlists, or DNS review are the priority.
Full URL extraction
Use it when path/query details are needed for forensic replay.
Note: Domains are ideal for ownership mapping; full URLs preserve behavioral context.
Raw hostname list vs cleaned domain review list
Raw hostnames
Use it while exploring copied logs and support notes.
Cleaned review list
Use it before DNS review, allowlist edits, or migration sign-off.
Note: A fast extraction is useful, but the handoff list should be deduped and checked for subdomain meaning.
Full hostname vs registrable domain
Full hostname
Use it when api, cdn, login, and m subdomains may belong to different services.
Registrable domain
Use it when the report only needs vendor or site-level grouping.
Note: Most real reviews should start with hostnames and collapse later, not the other way around.
Quick Decision Matrix
Support tickets, logs, and backlink exports are mixed together
Recommend: Extract full hostnames first, then group by registrable domain only for the summary.
Avoid: Avoid dropping subdomains before ownership or incident scope is clear.
Brand/reputation or campaign-level reporting
Recommend: Group by registrable domain for macro trends.
Avoid: Avoid overfitting reports to transient subdomain noise.
Security and operations incident response
Recommend: Preserve full hostnames for precise blast-radius analysis.
Avoid: Avoid collapsing hosts when service-level actions are needed.
Need actionable domain extraction from messy text sources
Recommend: Run normalization and deduping before blocklist or DNS checks.
Avoid: Avoid feeding raw extracted tokens directly into enforcement systems.
Security incident, DNS ownership, or partner allowlist review
Recommend: Keep full hostnames and only group after the owner is known.
Avoid: Avoid root-domain-only lists when action depends on a specific service.
Backlink, vendor, or executive summary reporting
Recommend: Group by registrable domain after dedupe.
Avoid: Avoid flooding summary reports with every transient subdomain.
Failure Input Library
Subdomain inventory collapsed to registrable domain only
Bad input: Extracting from logs but dropping `api.`, `cdn.`, `m.` layers.
Failure: Ops misses affected service boundaries during incident triage.
Fix: Retain both full host and registrable domain views for separate analyses.
Internationalized domain text not normalized
Bad input: Mixed Unicode and punycode hostnames in same dataset.
Failure: Duplicate counting and reputation checks become inconsistent.
Fix: Normalize domains to one canonical form before dedup and scoring.
Extractor output includes trailing punctuation
Bad input: Domains copied from prose with commas and parentheses attached.
Failure: Downstream lookups fail and produce misleading false negatives.
Fix: Trim punctuation and normalize domain tokens before export.
Trailing punctuation stays attached to domains
Bad input: Copied prose contains `example.com,` and `(cdn.example.net)`.
Failure: Downstream DNS or reputation checks return false negatives.
Fix: Trim punctuation and scan a small sample before exporting the final list.
Subdomains are removed before ownership is checked
Bad input: api.example.com and login.example.com are both collapsed to example.com.
Failure: A service owner or security reviewer loses the detail needed to act.
Fix: Preserve hostnames for operational review, then add a separate rollup column if needed.
Scenario Recipes
01
Turn messy logs into a domain review list
Goal: Build a clean hostname inventory from copied logs, tickets, emails, or backlink exports.
- Paste the raw text exactly as you received it.
- Extract domains and scan the unique list for unexpected hosts.
- Send the cleaned list into DNS, allowlist, or migration QA review.
Result: You get a domain-level checklist without manually opening every URL or email address.
02
Summarize target domains from incident chat logs
Goal: Extract domain names from long copied chat threads before ownership triage and blocklist review.
- Paste the raw conversation or ticket transcript.
- Extract domains and quickly remove duplicates.
- Send the cleaned domain list to DNS/security owners for validation.
Result: You can turn noisy investigation text into an actionable domain inventory in minutes.
03
Security triage of suspicious domain lists
Goal: Extract candidate domains quickly from mixed incident text dumps.
- Paste combined chat, email, and log evidence into one extraction pass.
- Normalize domains to lowercase and deduplicate by registrable domain.
- Send output to blocklist review with source-reference tagging.
Result: Threat intel triage starts from cleaner and traceable domain sets.
04
Clean a backlink export before domain-level review
Goal: Turn a noisy backlink or referral export into domains you can actually audit.
- Paste the raw export, even if it still contains paths, tracking parameters, and notes.
- Extract the hostnames and remove exact duplicates.
- Flag unexpected domains before deciding whether they belong in outreach, disavow, or migration notes.
Result: The review starts from a short domain list instead of a spreadsheet full of noisy URLs.
05
Review a partner allowlist copied from tickets
Goal: Separate real partner hosts from comments, email addresses, and pasted URLs.
- Paste the ticket thread or spreadsheet notes as-is.
- Keep the full hostname list while checking ownership.
- Collapse to registrable domains only after the service-level review is done.
Result: Allowlist edits are easier to explain because each host keeps its service context.
Use It In Practice
Domain Extractor is most reliable with real inputs and scenario-driven decisions, especially around "Support tickets, logs, and backlink exports are mixed together".
Use Cases
- When Support tickets, logs, and backlink exports are mixed together, prioritize Extract full hostnames first, then group by registrable domain only for the summary..
- When Brand/reputation or campaign-level reporting, prioritize Group by registrable domain for macro trends..
- Compare Hostname list vs Registrable-domain list for Hostname list vs registrable-domain list before implementation.
Quick Steps
- Paste the raw text exactly as you received it.
- Extract domains and scan the unique list for unexpected hosts.
- Send the cleaned list into DNS, allowlist, or migration QA review.
Avoid Common Mistakes
- Common failure: Ops misses affected service boundaries during incident triage.
- Common failure: Duplicate counting and reputation checks become inconsistent.
Practical Notes
Domain Extractor works best when you apply it with clear input assumptions and a repeatable workflow.
Text workflow
Process text in stable steps: normalize input, transform once, then verify output structure.
For large text blocks, use representative samples to avoid edge-case surprises in production.
Collaboration tips
Document your transformation rules so editors and developers follow the same standard.
When quality matters, combine automated transformation with a quick human review pass.
Production Snippets
Mixed text sample
txt
GET https://api.example.com/v1
Contact ops@example.com
Referer: https://cdn.example.net/assets/app.jsFailure Clinic (Common Pitfalls)
Collapsing every subdomain into the root too early
Cause: api.example.com, cdn.example.com, and login.example.com can have different owners and risk profiles.
Fix: Keep the full hostname during triage, then group to registrable domain only when the report needs a summary.
Collapsing subdomains too early
Cause: Security ownership and routing often differ between `api.example.com` and `www.example.com`.
Fix: Keep full hostnames during triage, then aggregate to root domain only when reporting requires it.
Frequently Asked Questions
Can it extract domains from emails and URLs together?
Yes. The extractor handles both URL hosts and email domains from the same input text.
What is the difference between hostname and registrable domain?
A hostname can include subdomains such as api.example.com. A registrable domain is the owned domain such as example.com.
Can I deduplicate domains for a migration or backlink audit?
Yes. Paste the raw export, extract domains, and use the unique list as the review checklist.
Does it include protocol, path, or query string?
No. It outputs domain names only, without https://, paths, fragments, or query parameters.
Can I use it with logs and copied support tickets?
Yes. It is designed for noisy mixed text where domains are embedded inside messages, URLs, and email addresses.
Is my input uploaded?
No. Extraction runs in your browser, so private logs and draft notes stay on your device.
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