Domain Extractor

Pull clean domain names out of any URL list, right in your browser.

Paste your URLs (one per line)

Total Input: 0 URLs

Filter by TLD

Upload File (.txt / .csv)

CSV FILE DETECTED

Total Rows: 0 | Cleaned: 0 | Invalid/Empty: 0

Domain Column

Scroll inside the table to see every row — all rows are included in the download, nothing is removed or reordered.

EXTRACTED DOMAINS

Total Extracted: 0 Domains

Free Online Domain Extractor for Bulk URL Lists

Anyone who has tried to clean a spreadsheet of links knows the problem: you don't actually need the full URL, just the domain sitting behind it. A quick VLOOKUP or a chain of Excel text formulas can sort of get you there, but it usually falls apart the moment a row has no www, a mixed http and https, or a subdomain the formula wasn't built to handle. The HB Tools Domain Extractor skips all of that — paste or upload your list, and it hands back clean hostnames in a couple of seconds, right inside your browser.

Who Ends Up Needing to Strip URLs Down to Domains?

It's a small, specific task, but it shows up constantly across a few different jobs:

SEOs reading a backlink report: Ahrefs, Semrush, and Search Console all export referring pages as full URLs. To find out how many unique domains actually link to you, those URLs need to be reduced to hostnames first.

Outreach and PR teams: Before firing off pitch emails, it helps to group prospect links by domain so the same publication doesn't get contacted twice under two different article URLs.

Lead-gen and data cleanup work: Company websites pulled from directories or scraped pages usually come with tracking parameters and deep landing-page paths attached, which need to be trimmed down to a bare domain before the list is actually usable.

Ad and media buyers: Programmatic placement reports list the exact page an ad ran on. Rolling that up to the domain level makes it possible to see which sites are actually worth paying for.

Developers writing allow-lists or block-lists: Firewall rules, CORS settings, and email filters are usually written against domains, not full paths, so a raw access log has to be reduced first.

Extracting Domains in Three Steps

Add your URLs. Paste them one per line, or click Upload File to load a .txt list or a .csv export directly — no need to reformat anything first.

Set a TLD filter if you need one. Leave it on All TLDs to keep everything, or narrow the output to a single extension like .gov, .edu, or .co.uk when you only care about one segment of the list.

Click Extract Domains, then copy or download. Grab the result as plain text or as a CSV, whichever fits the next step in your workflow.

What the Tool Actually Does to Each Line

Every line is treated as a URL, even if the protocol was left off. If a row just says example.com/pricing, the tool quietly adds https:// before parsing it, so you don't have to normalize protocols by hand. Once it's parsed, the leading www. is removed, since it's almost always just an alias for the same site, while other subdomains such as shop.example.com or blog.example.com are left untouched — they can point to meaningfully different pages depending on what you're analyzing.

Anything that isn't a valid link — blank rows, half-typed text, stray notes copied in by accident — is silently skipped instead of stopping the whole run. That means you can paste a genuinely messy export without spending ten minutes tidying it up first.

Filtering by TLD for a Targeted List

Sometimes you don't want every domain, just one slice of the list — maybe you're auditing government backlinks and only care about .gov, or checking which .com competitors show up most often in a scraped SERP export. The TLD dropdown handles that in one click, including two-part extensions like .co.uk, .com.au, and .co.in, which trip up most simple regex-based approaches.

Why Duplicate Domains Are Left In on Purpose

Unlike tools that quietly deduplicate for you, this one keeps every occurrence by default. That's deliberate — if you're reviewing a backlink export, the number of times a domain shows up is frequently the exact thing you're trying to measure. When you do want a unique list, paste the output into a spreadsheet column and run a standard remove-duplicates pass, or sort the list and scan through it manually.

Nothing You Paste Ever Leaves Your Browser

Prospect lists, client link inventories, and internal ad reports are usually not something you want sitting on a random server somewhere. This extractor never uploads your data anywhere — it runs on the browser's own URL parser, entirely client-side. Nothing is logged, nothing is cached remotely, and the moment you close the tab, the data is gone.

Frequently Asked Questions

Paste your links into the box (or upload a .txt or .csv file) and click Extract Domains. The tool strips the protocol, path, and query string from each line and keeps only the hostname, so a link such as https://www.example.com/blog/post-1 becomes example.com.

Yes. Pick a specific extension from the TLD dropdown above the input box before extracting, and every other extension is skipped automatically. Set it back to All TLDs whenever you want the full, unfiltered list again.

Yes. Nothing you paste or upload is sent to a server. The cleanup happens with JavaScript running locally in your own browser tab, so the list never travels over the network and disappears the moment you close or refresh the page.

Excel formulas for stripping protocols and paths tend to break on mixed http/https links, missing www, or unusual subdomains. This tool uses the browser's built-in URL parser instead, so it handles those edge cases correctly without you writing or debugging a single formula.

Yes. Upload the CSV and the tool scans the headers and sample rows to guess which column holds the URLs or domains, shows a live preview, and lets you switch columns manually if the guess is wrong before you download the cleaned file.

Yes, that's intentional. A leading www. is stripped since it's typically just an alias for the root domain, but subdomains such as shop.example.com or blog.example.com are kept as-is because they often point to genuinely different sections of a site.

No. Blank lines, stray text, and malformed entries are simply skipped, and the tool continues processing the rest of the list. You don't need to pre-clean anything before pasting it in.

Because the repeat count itself is often useful data, for example when reviewing a backlink export to see how often one site links back to you. If you only want unique values, drop the output into a spreadsheet column and run a remove-duplicates step.