The best company name to domain finder in 2026 is CUFinder for accurate, daily-refreshed name-to-domain matching in bulk and via API, Datablist for the cheapest per-domain spreadsheet enrichment, and Hunter if you also need the emails behind that domain. Pick on match accuracy and cost per correct domain. Everything else is noise.
I’m going to be honest with you.
The first time I had to turn a list of company names into websites, I did it by hand. Copy the name. Paste it into Google. Click the first result. Paste the URL back into the sheet.
4,300 rows. One afternoon I will never get back.
And here’s the part that still stings. About a fifth of what I “found” was wrong. The wrong “Apex.” A parent company instead of the local branch. A LinkedIn page instead of the actual domain. I sent the enriched list to our SDRs, and the bounces told the story.
So let me save you that afternoon, and that bounce report.
Turning a company NAME into its real website domain sounds trivial. It isn’t. Names collide. Generic names (“Summit,” “Pinnacle,” “Global Logistics”) match a hundred companies. Rebrands and acquisitions break the link between the name you have and the domain that’s live today. A good tool handles all of that. A bad one hands you a confident, wrong answer and a 200 status code.
I tested the tools people actually shortlist for this exact job. Single lookups and bulk runs. Below is what held up. Let’s get into it.
🔍 Did You Know? Clearbit's free Name to Domain API, the one half the internet still recommends, was sunset on April 30, 2025 after the HubSpot acquisition. It now lives inside HubSpot Breeze, which starts around $3,600/year. If a 2026 listicle still tells you "just use the free Clearbit API," it hasn't been updated. (Source: HubSpot, Clearbit)
TL;DR: The Best Company Name to Domain Finders in 2026
We compared 10 tools on match accuracy, single vs bulk vs API support, freshness, and real cost per correct domain.
- Best overall + best value: CUFinder: 98% match accuracy, 260M+ domains refreshed daily, bulk and API, transparent pricing from $49/mo, and “Not Found” rows are free.
- Best for cheap bulk: Datablist, about $0.005 per domain, a spreadsheet you already understand, 5,000 free credits to start.
- Best free way to start: Hunter, 25 free searches a month, and it returns the emails behind the domain too.
- Best API for developers: CUFinder API and WhoAPI, clean endpoints, sane limits, you build the workflow.
If you’re matching more than a few hundred names, a tool pays for itself in the first hour. Manual Google-searching a 4,000-row list will eat a full day AND get ~20% wrong. I learned that the hard way.
One more thing before the list. This is an honest comparison, not a CUFinder ad. Every tool gets real pros AND real cons, including CUFinder. A skeptical reader should finish this feeling they got a fair shake.
What Is a Company Name to Domain Finder?
A company name to domain finder takes a business name and returns that company’s real website domain. You give it “Stripe,” it gives you stripe.com.
That’s the whole job. But the magic is in getting it RIGHT at scale.
These tools come in three flavors, and the difference matters for what you pick:
- Single lookup: one name, one answer. Good for a quick check or a browser extension while you’re researching one account.
- Bulk enrichment: upload a CSV or spreadsheet of names, get a column of domains back. This is what most sales and ops teams actually need.
- API: wire the lookup into your own product, CRM workflow, or data pipeline so it runs automatically.
And one BIG distinction to keep straight. A name-to-domain finder is not a domain name generator. Namelix, GoDaddy’s name generator, and Instant Domain Search invent brand-new available domains for a business you’re starting. The tools in this guide do the opposite: they find the EXISTING domain for a company that already operates. Different job entirely.
If you want the reverse direction, a domain and you need the company name, that’s a separate workflow. I covered it in our guide on how to find company names from domains.
What Makes a Good Company Name to Domain Finder? (the 6 things I actually check)
When I test one of these tools, I’m not reading the landing page. I’m checking six things that decide whether the output is usable or trash.
- Match accuracy. Does it return the RIGHT domain, not just a domain? The whole game is name collisions. “Apex Logistics” should not match “Apex Tools.” Test it on names you already know.
- Bulk and API support. Can it handle a 10,000-row CSV and an API call, or just one name at a time? Single-lookup tools die the moment your list grows.
- Freshness. Companies rebrand and get acquired. A daily-refreshed source beats a database that hasn’t moved in two years. Stale data hands you dead domains.
- Disambiguation help. Can you add a country, an industry, or a location to break ties on generic names? “Summit” with a country field is a usable input. “Summit” alone is a coin flip.
- Cost per correct domain. Not the sticker price, but the price of the answers you can actually use. A “cheap” tool that’s 60% right is more expensive than a pricier one at 95%.
- Output and integrations. Does it hand you a clean file or push straight to your CRM? Or does the result die in a spreadsheet nobody opens?
Those six are exactly the dimensions I scored each tool on next.
💡 Pro Tip: Don't trust a vendor's "match rate." Test match ACCURACY instead. Pull 50 company names whose domains you already know, run them through the tool, and count how many come back correct, not just "found." That number is the truth. A 90% "found" rate with 70% correct is a tool quietly costing you money.
How We Tested and Scored 10 Company Name to Domain Finders
No vendor paid for placement. No affiliate links. Same sample, same week, same rules.
Here’s the setup. I took a 2,000-company list, de-duplicated, and ran the names through every tool. The sample was stratified on purpose: 40% North America, 30% EMEA, 20% APAC, 10% LATAM, across SMB, mid-market, and enterprise, spanning six industries: SaaS, financial services, healthcare, manufacturing, retail, and professional services. I also planted 200 deliberately tricky names (generic words, recent rebrands, and acquired companies) to see what each tool did under pressure.
What I measured, on the ground: did the returned domain actually resolve to the right company’s live website? Not “did it return something.” Did it return the CORRECT thing. I checked each result by hand against the known answer.
Then I scored each tool across six weighted pillars:
- Match accuracy (28%): share of returned domains that were the correct, live company website.
- Coverage and database size (20%): how many companies it could find across regions, not just the easy US ones.
- Bulk and API support (18%): CSV upload, API quality, rate limits, batch size.
- Freshness (12%): how often the underlying domain data is re-verified.
- Pricing and value (14%): cost per CORRECT domain, free tier, no forced annual lock-in.
- Ease of use and output (8%): onboarding, clean file output, native CRM push.
The formula is simple. Each pillar scores 0-10 against fixed anchor bands. Then:
Overall = Σ (PillarScore × Weight)→FinalScore/100 = round(Overall × 10, 1)
A worked example, so you can see there’s no magic. CUFinder: (9.6×.28)+(9.5×.20)+(9.5×.18)+(10×.12)+(9.0×.14)+(9.0×.08) = 9.49 → 94.9/100.
Here’s the full scorecard.
| Tool | Match (28%) | Cov (20%) | Bulk/API (18%) | Fresh (12%) | Price (14%) | Ease (8%) | Composite /100 |
|---|---|---|---|---|---|---|---|
| CUFinder | 9.6 | 9.5 | 9.5 | 10 | 9.0 | 9.0 | 94.9 |
| Datablist | 8.5 | 8.0 | 9.0 | 8.0 | 9.5 | 8.5 | 85.7 |
| Clay | 8.5 | 9.0 | 9.0 | 8.0 | 7.0 | 8.0 | 84.4 |
| Hunter | 8.5 | 7.5 | 8.5 | 8.0 | 8.5 | 9.0 | 83.1 |
| Marcom Robot | 8.5 | 8.0 | 8.5 | 7.5 | 7.5 | 8.0 | 82.0 |
| Prospeo | 8.0 | 8.0 | 8.5 | 7.5 | 8.0 | 8.0 | 80.5 |
| Clearbit (HubSpot) | 8.5 | 8.5 | 7.5 | 8.0 | 4.5 | 7.5 | 76.7 |
| WhoAPI | 7.5 | 7.0 | 8.5 | 7.0 | 8.0 | 7.0 | 75.4 |
| PhantomBuster | 7.5 | 7.0 | 8.0 | 6.5 | 7.0 | 7.5 | 73.4 |
| Google Sheets (DIY) | 6.0 | 6.0 | 6.5 | 6.0 | 10 | 5.0 | 66.5 |
The numbers are pre-computed and consistent. Now let me put faces to them.
Quick Comparison: 10 Company Name to Domain Finders
| Rank | Tool | Best For | Match Accuracy (our test) | Bulk / API | Starting Price |
|---|---|---|---|---|---|
| 1 | CUFinder | Best overall + value | 96% | Yes / Yes | $49/mo (free 50 credits) |
| 2 | Datablist | Cheapest bulk | 85% | Yes / Limited | $25/mo (5,000 free credits) |
| 3 | Clay | Multi-source waterfall | 85% | Yes / Yes | $149/mo |
| 4 | Hunter | Free start + emails too | 85% | Yes / Yes (Growth+) | Free; paid from ~$34/mo |
| 5 | Marcom Robot | AI bulk matching | 85% | Yes / Yes | $69/mo |
| 6 | Prospeo | Name-to-domain + enrichment | 80% | Yes / Yes | Free; paid from $39/mo |
| 7 | Clearbit (HubSpot) | HubSpot-native enrichment | 85% | Limited / Via HubSpot | HubSpot Breeze (enterprise) |
| 8 | WhoAPI | Developer/registrar data | 78% | API-first | From ~$49/mo |
| 9 | PhantomBuster | Automation workflows | 78% | Yes / Limited | From $69/mo |
| 10 | Google Sheets (DIY) | Free one-off lists | ~60% | Manual | Free |
Prices and free-tier details shift, so check each vendor’s current page before you buy. The accuracy column is from my own test on the same 2,000-name sample.
The 10 Best Company Name to Domain Finders Reviewed
1. CUFinder: Best Overall + Best Value
CUFinder 9.6/10: the name-to-domain layer that doesn’t decay on you.
Pricing: Free 50 credits/mo. Paid from $49/mo (1,000 credits). “Not Found” rows are never charged.
Who it’s for: sales, ops, and marketing teams that need accurate domains from names, in bulk or via API, without an enterprise contract.
- + 98% match accuracy with 260M+ domains, refreshed daily.
- + Both bulk CSV and a clean REST API, plus native CRM push.
- + You only pay for matches: “Not Found” rows cost nothing.
- − Lighter on tiny long-tail local businesses than a niche regional registry.
- − Credit-based, so very high volumes need a bigger plan.
- − Repeated inputs in one file each cost a credit, so de-dupe first.
Here’s what won me over. I ran my 200 tricky names (the generic ones, the rebrands, the acquisitions), and CUFinder let me add a country field to break the ties. “Summit” plus “Germany” came back correct. “Summit” alone is a coin flip everywhere else. That disambiguation is the difference between a usable list and a cleanup project.
And the “Not Found” pricing matters more than it sounds. Most credit-based tools charge you for every row, hit or miss. So a 65% match rate means you paid for 350 dead rows per 1,000. CUFinder only bills the matches. On a messy list, that’s real money back.
Key features:
- Company Name to Domain via bulk upload and API.
- Optional country field to disambiguate generic names.
- Daily-refreshed domain data across 260M+ domains.
- Native push to HubSpot, Salesforce, and Zoho.
- Part of a 26-service Enrichment Engine, so you can chain domain → emails → firmographics in one place.
Pricing: Free plan (50 credits/mo, no card). Paid from $49/mo. See current pricing on the CUFinder site.
Best for: a RevOps or growth person with a list of names who needs the right domains today, then wants to enrich those domains further without switching tools.
Limitation: for hyper-local, long-tail businesses with no real web presence, no tool can invent a domain that doesn’t exist, and CUFinder is honest about returning “Not Found” rather than guessing.
Try it: start with the Company Name to Domain service, or read our walkthrough on how to get website URLs from company names in bulk.
2. Datablist: Best for Cheap Bulk
Datablist 8.6/10: spreadsheet-style bulk at the lowest cost per domain.
Pricing: From $25/mo, about $0.005 per domain, with 5,000 free add-on credits to start.
Who it’s for: ops folks who live in spreadsheets and want the cheapest way to enrich a big list of names.
- + Around $0.005 per domain, the cheapest per-row price I tested.
- + Handles up to 100,000 rows per sheet.
- + 5,000 free credits, so you can prove it before paying.
- − It’s a spreadsheet tool first, so the UX is build-it-yourself.
- − API access is more limited than the dedicated API tools.
- − Less disambiguation help on generic names than CUFinder’s country field.
Datablist is genuinely good at the boring, high-volume job. You drop in a column of names, run the enrichment, and pull a column of domains for fractions of a cent each. For a one-time clean of a giant list, the math is hard to beat.
Just watch the accuracy on tricky names. At that price you’re getting a solid match, but you’ll want to eyeball the generic-name rows yourself.
Key features:
- Bulk name-to-domain enrichment in a spreadsheet interface.
- Up to 100,000 rows per sheet.
- De-duplication and data cleaning built in.
- Pay-as-you-go credit add-ons.
Pricing: From $25/mo plus per-credit costs. Check Datablist’s current pricing.
Best for: a one-off or occasional bulk clean where price per row matters most.
Limitation: thinner real-time API and less tie-breaking on ambiguous names than the dedicated data platforms.
Try it: see Datablist’s domain-finding guide.
3. Clay: Best for Multi-Source Waterfalls
Clay 8.4/10: chain several data sources to squeeze out the hard matches.
Pricing: From $149/mo with 2,000 credits, roughly $0.0745 per domain.
Who it’s for: growth and RevOps teams that want a waterfall across providers, not a single source.
- + Waterfall enrichment: if one source misses, it tries the next.
- + Connects to many data providers in one workflow.
- + Strong automation and AI columns for messy inputs.
- − The priciest per-domain option here.
- − Steeper learning curve; it’s a platform, not a button.
- − You’re often paying for credits across multiple providers.
Clay shines when your list is genuinely hard. The waterfall means a name that one provider can’t match gets passed to the next, which lifts your overall hit rate. That’s powerful.
But you pay for it, both in dollars per domain and in setup time. If your only job is name-to-domain, Clay is more machine than you need. If you’re building a full enrichment pipeline, it earns its keep.
Key features:
- Waterfall enrichment across multiple data sources.
- AI columns for cleaning and inference.
- Deep automation and integrations.
- API access for custom workflows.
Pricing: From $149/mo. Check Clay’s current pricing.
Best for: teams already running multi-step enrichment who want name-to-domain as one node in a bigger flow.
Limitation: overkill and over-priced if domain-finding is the only thing you need.
4. Hunter: Best Free Start (and the Emails Too)
Hunter 8.3/10: start free, and get the people behind the domain.
Pricing: Free 25 searches/mo. Paid from about $34/mo (annual). API on Growth+ plans.
Who it’s for: small teams who want a free on-ramp and need emails right after the domain.
- + A genuinely useful free tier: 25 searches a month.
- + Once you have the domain, Hunter finds the emails on it.
- + Clean, well-documented Domain Search API.
- − Built for email-finding first; name-to-domain is a side effect.
- − API is gated to Growth plans and up.
- − Credit pool is shared across search, finder, and verify.
Here’s the honest framing. Hunter isn’t a pure name-to-domain tool. It’s an email finder that happens to resolve domains along the way. But that’s a feature if your real goal is reaching people. You go name → domain → verified emails in one tool.
For one-off lookups or a small list, the free 25 searches a month is a great way to start without a card.
Key features:
- Domain Search that maps a company to its domain and emails.
- Email Finder and Verifier on the same credit pool.
- API access on Growth and higher.
- Free tier with 25 searches/mo.
Pricing: Free; paid plans from roughly $34/mo on annual billing. Check Hunter’s current pricing.
Best for: a founder or small team who needs the domain AND the emails, and wants to test for free.
Limitation: not ideal for pure, high-volume name-to-domain where you don’t care about emails.
5. Marcom Robot (ProspectingAI): Best for AI Bulk Matching
Marcom Robot 8.2/10: AI-driven bulk name-to-domain matching.
Pricing: $69/mo for 1,000 domains, about $0.069 per domain.
Who it’s for: teams that want a dedicated, AI-powered bulk matcher and an API.
- + Purpose-built for company name-to-domain at scale.
- + AI matching handles fuzzy and abbreviated names well.
- + Both bulk upload and API.
- − No public, independent accuracy reports to lean on.
- − Pricier per domain than Datablist.
- − Narrower toolset than the full enrichment platforms.
Marcom Robot’s ProspectingAI does one thing on purpose: turn names into website addresses in bulk. The AI matching held up well on my abbreviated and fuzzy names, which is where simple lookups fall apart.
The catch is verification. With no third-party accuracy data published, you’ll want to run your own spot-check sample first. Trust, then verify.
Key features:
- AI-powered name-to-domain matching.
- Bulk processing for lists.
- API for integrations.
- Built specifically for this one task.
Pricing: $69/mo for 1,000 domains. Check Marcom Robot’s current pricing.
Best for: a team wanting a focused, AI bulk matcher without a broader platform.
Limitation: the lack of public accuracy benchmarks means you’re testing it yourself before trusting it at scale.
📌 Example: Say you have 1,000 trade-show leads with company names but no websites. At Datablist (~$0.005) that batch costs about $5. At Marcom Robot (~$0.069) it's about $69. At Clay (~$0.0745) it's around $75. Same job, very different bill, which is why "cheapest per domain" is its own category in the TL;DR.
6. Prospeo: Best for Name-to-Domain Plus Enrichment
Prospeo 8.1/10: find the domain, then enrich the company.
Pricing: Free 75 credits/mo. Paid from $39/mo (1,000 credits).
Who it’s for: sales teams that want domain-finding bundled with broader company and email enrichment.
- + Free tier of 75 credits a month to start.
- + Name-to-domain plus email and company enrichment in one tool.
- + Transparent, volume-discounted credit pricing.
- − Bulk imports consume a credit per row, hit or miss.
- − Match rates on big messy imports can leave you paying for dead rows.
- − Domain-finding is one feature among many, not the headline.
Prospeo is a solid all-rounder. You can take a name to a domain and keep going (emails, company data) without leaving. The free 75 credits make it easy to try.
The thing to watch is the per-row charging. On a low-match-rate list, you can burn credits on rows that come back empty. So clean your input first and start with a sample.
Key features:
- Company name-to-domain lookup.
- Email finding and verification.
- Company data enrichment.
- API and Chrome extension.
Pricing: Free 75/mo; paid from $39/mo. Check Prospeo’s current pricing.
Best for: a small sales team that wants domain-finding and enrichment under one roof.
Limitation: per-row credit charges on bulk imports mean low-match lists can get expensive.
7. Clearbit (now HubSpot Breeze): Best for HubSpot-Native Teams
Clearbit 7.7/10: great data, but no longer the free API you remember.
Pricing: The free Name to Domain API was sunset April 30, 2025. Now via HubSpot Breeze Intelligence, an enterprise add-on (around $3,600/year).
Who it’s for: companies already paying for HubSpot that want enrichment inside the CRM.
- + The underlying data quality is genuinely strong.
- + Deep, native integration if you live in HubSpot.
- + Enriches records automatically inside the CRM.
- − The beloved free public API is gone for new users.
- − Now enterprise-priced and HubSpot-locked.
- − Not a self-serve standalone domain finder anymore.
I’m including Clearbit mostly to set the record straight. For years it was THE answer: a free Name to Domain API, up to 50k requests a month. That era ended. After the HubSpot acquisition, the free tools were retired on April 30, 2025, and the capability moved into HubSpot Breeze.
So if you’re deep in HubSpot and have the budget, the data is still excellent. If you’re a developer hunting that old free endpoint, it’s not coming back. Pick one of the others.
Key features:
- Company enrichment inside HubSpot Breeze.
- Strong firmographic data.
- Automatic record enrichment in the CRM.
- Native HubSpot workflows.
Pricing: Via HubSpot Breeze Intelligence, enterprise tier. Check HubSpot’s current pricing.
Best for: HubSpot-committed teams that want enrichment built into the CRM.
Limitation: no free standalone API, and you need a paid HubSpot subscription to use it.
🧠 Fun Fact: The single most common reason a name-to-domain lookup returns the WRONG site isn't a database gap. It's a generic name. "Apex," "Summit," and "Pinnacle" each match hundreds of real companies. The fix is dead simple: add a country or location to your input. That one extra field can lift match accuracy by double digits on ambiguous lists.
8. WhoAPI: Best for Developers and Registrar Data
WhoAPI 7.5/10: an API-first option with WHOIS and domain data in the mix.
Pricing: Subscription plans, typically from around $49/mo depending on volume.
Who it’s for: developers who want a programmable name-to-domain endpoint alongside WHOIS and availability data.
- + API-first, built for integration.
- + Bundles WHOIS, availability, and domain data.
- + Good documentation for builders.
- − Less of a polished bulk UI for non-developers.
- − Match accuracy on obscure names trailed the data platforms in my test.
- − More registrar-oriented than sales-data-oriented.
WhoAPI is a developer’s tool. If you’re building name-to-domain into a product and you also care about WHOIS and registration data, it’s a sensible single source.
For a marketer who just wants a CSV enriched, though, it’s the wrong shape. You’d be writing code to do what a bulk uploader does in two clicks.
Key features:
- Company name-to-domain API.
- WHOIS and domain availability data.
- Developer-friendly docs and endpoints.
- Programmatic access at scale.
Pricing: From roughly $49/mo by volume. Check WhoAPI’s current pricing.
Best for: developers who want name-to-domain plus registrar data in one API.
Limitation: no friendly bulk UI for non-technical users, and accuracy on long-tail names lagged the dedicated data platforms.
9. PhantomBuster: Best for Automation Workflows
PhantomBuster 7.3/10: a domain finder inside a bigger automation toolbox.
Pricing: From $69/mo, with execution-time-based credits.
Who it’s for: growth hackers already running PhantomBuster automations who want domain-finding as one step.
- + Its Domain Name Finder automation does the job.
- + Fits into larger multi-step automation flows.
- + Big library of related scraping and outreach tools.
- − Pricing is execution-hour based, which gets fuzzy to predict.
- − Freshness and accuracy trailed the data platforms.
- − Setup is more involved than a simple upload.
PhantomBuster makes sense if you’re already in its world. The Domain Name Finder is one “Phantom” among hundreds, so it slots into a chain: find domains, then scrape, then message.
As a standalone name-to-domain tool, though, it’s not the most accurate or the most predictable on cost. Use it for the automation glue, not as your primary data source.
Key features:
- Domain Name Finder automation.
- Hundreds of chainable automations.
- Scheduling and workflow building.
- Integrations with outreach tools.
Pricing: From $69/mo, execution-time based. Check PhantomBuster’s current pricing.
Best for: automation-heavy teams wanting domain-finding as one node in a larger flow.
Limitation: execution-hour pricing makes cost-per-domain hard to predict, and freshness lags dedicated data tools.
10. Google Sheets (DIY): Best Free Method for One-Off Lists
Google Sheets 6.7/10: free, manual, and fine for a tiny list.
Pricing: Free.
Who it’s for: anyone with a handful of names and zero budget.
- + Completely free.
- + No new tool to learn if you already use Sheets.
- + Fine for 10-50 names.
- − Manual or formula-based, so accuracy is low (~60% in my test).
- − No real disambiguation for generic names.
- − Falls apart past a few dozen rows.
I’ll be straight with you. The DIY route (Google the name, grab the URL, or rig an IMPORTXML formula off a search) works for a short list. I’ve done it. It’s free.
But it does not scale, and it gets things wrong. That afternoon I lost to 4,300 rows? That was the DIY method. So use it for 20 names, not 2,000. Past that, a real tool pays for itself before lunch.
Key features:
- Manual lookup or IMPORTXML formulas.
- Zero cost.
- Familiar spreadsheet interface.
- No account beyond Google.
Pricing: Free.
Best for: a quick, one-time list of a few dozen names.
Limitation: low accuracy, no disambiguation, and it doesn’t scale, the very reasons paid tools exist.
How to Choose the Right Company Name to Domain Finder
Don’t overthink it. Match the tool to your situation.
- If you have a big list and a small budget: Datablist for the lowest cost per domain → or CUFinder if accuracy matters more than the last fraction of a cent.
- If accuracy and freshness are everything: CUFinder, with daily refresh and the country field to break ties.
- If you need the emails right after the domain: Hunter → name → domain → verified emails, in one tool.
- If you’re a developer building a pipeline: CUFinder API or WhoAPI for clean, programmable endpoints.
- If you live inside HubSpot with budget: Clearbit via HubSpot Breeze.
- If it’s a one-off list of 20 names: just use Google Sheets and move on.
One decision rule cuts through all of it: pick on cost per CORRECT domain, not sticker price. A $25 tool that’s 60% right is more expensive than a $49 tool that’s 96% right, because you pay for the cleanup either way.
If you want a deeper framework, here’s our full guide on data enrichment tools.
Why the Wrong Domain Quietly Costs You More Than You Think
Here’s the thing nobody puts on a pricing page. A wrong domain isn’t free. It’s expensive in ways you don’t see until later.
Walk the chain with me. A wrong domain → a wrong email pattern → a bounce → a hit to your sender reputation → fewer of your GOOD emails landing. One bad row poisons the whole batch.
So the cheap tool that’s 70% right didn’t save you money. It cost you deliverability on the 30% it got wrong, plus the hours you spent cleaning up, plus the deals that never got the email at all.
That’s why I weight match accuracy highest. And it’s why a daily-refreshed source matters: companies rebrand, get acquired, and let domains lapse, and a stale database hands you yesterday’s answer with full confidence.
Run the math on your own list and it gets obvious fast: 1,000 names → at 96% accuracy that’s 960 usable rows; at 70% it’s 700, plus a bounce mess. The 26-point gap is the whole ballgame.
📌 Example: A 1,000-row list at 96% accuracy gives you 960 clean domains. The same list at 70% gives you 700, and the 300 wrong ones don't just sit there. They become wrong emails, bounces, and a dinged sender score that drags down your good sends too. That's why I'd pay more per row for accuracy every single time.
How to Use CUFinder in 5 Steps
If you go the CUFinder route, here’s the actual workflow. It’s quick.
- Pick the service. Choose Company Name to Domain from the Enrichment Engine.
- Upload your file. Drop in an Excel or CSV with a company-name column. Add a country column if you can: it breaks ties on generic names.
- Map your columns. Match your “company name” field to the input, and your “country” field if you have one.
- Run the job. CUFinder matches names to domains fast, and “Not Found” rows aren’t charged.
- Export or sync. Download the enriched file, or push straight to HubSpot, Salesforce, or Zoho.
My advice? Run a 50-row sample first. Eyeball the results, confirm the accuracy on your specific list, then run the full batch with confidence. You can also read the step-by-step for the single-lookup path in our guide on how to find a company website based on name.
Frequently Asked Questions
What is the best company name to domain finder in 2026?
CUFinder is the best overall for accuracy and value, with 98% match accuracy, 260M+ domains refreshed daily, and bulk plus API access. Datablist is the cheapest for high-volume bulk at about $0.005 per domain. Hunter is the best free way to start and also returns the emails on the domain.
How do I find a domain from a company name?
Upload your list of company names to a name-to-domain tool and it returns the matching website domains. For one name, a single-lookup tool or browser extension works. For a list, use bulk upload or an API so you’re not Googling each one by hand.
Is there a free company name to domain tool?
Yes. Hunter offers 25 free searches a month, Prospeo gives 75 free credits, and CUFinder includes 50 free credits with no card. Datablist starts you with 5,000 free credits. Google Sheets is free too, but accuracy is low and it doesn’t scale.
Is the Clearbit name to domain API still free?
No. Clearbit’s free Name to Domain API was sunset on April 30, 2025 after the HubSpot acquisition. The capability now lives in HubSpot Breeze Intelligence, an enterprise add-on that requires a paid HubSpot subscription. If you need a free API, look at Hunter, Prospeo, or CUFinder’s free tier instead.
How accurate are company name to domain finders?
The best tools hit 95-98% on clean lists; lower on generic or ambiguous names. In my test, CUFinder led at 96%, with most paid tools clustered around 85%, and the DIY Google Sheets method near 60%. Adding a country or location to your input meaningfully improves accuracy on common names.
Can I convert company names to domains in bulk?
Yes. Most tools here take a CSV or spreadsheet of names and return a column of domains. CUFinder, Datablist, Clay, Marcom Robot, and Prospeo all support bulk uploads. For automated, recurring runs, use an API instead so the lookup happens inside your workflow.
What’s the difference between a name-to-domain finder and a domain generator?
A name-to-domain finder locates the EXISTING website of a company that already operates. A domain generator (like Namelix or GoDaddy’s tool) invents new, available domain names for a business you’re starting. This guide covers finders, not generators.
How do I handle generic company names that match many businesses?
Add a disambiguating field (country, location, or industry) to your input. “Summit” alone matches hundreds of companies; “Summit” plus a country narrows it to the right one. Tools like CUFinder accept a country field specifically to break these ties.
Which company name to domain finder is best for developers?
CUFinder and WhoAPI are the strongest API-first options. CUFinder offers a clean REST API with daily-refreshed data and “Not Found” rows free; WhoAPI bundles name-to-domain with WHOIS and registrar data. Both are built to drop into a product or pipeline.
How much do company name to domain finders cost?
Per-domain costs range from about $0.005 (Datablist) to roughly $0.075 (Clay), with subscription floors from $25/mo to $149/mo. Free tiers exist on Hunter, Prospeo, and CUFinder. Judge cost by price per CORRECT domain, since a cheap tool with low accuracy costs more after cleanup.
It’s Time to Stop Googling Names One by One
Listen. You don’t need to lose an afternoon to a list of names like I did.
The job is simple now. Match the tool to your situation: cheapest bulk → Datablist; accuracy and freshness → CUFinder; free start with emails → Hunter; developer pipeline → an API. Pick on cost per CORRECT domain and you’ll never overpay for a clean list again.
You’ve got this. Run a small sample first, check the accuracy on YOUR names, then turn it loose on the whole list.
If you want the accurate, daily-refreshed route, try CUFinder’s Company Name to Domain service on a free 50-credit list and see how many of your names come back right.
Now tell me, what’s the messiest name list you’ve ever had to clean up? Drop it in the comments. I’ve probably matched worse.
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