Company Name to Domain

Turn a list of company names into the domains behind them. Curated databases first, live Google search for the names they miss.

Find 500 domains free
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Accurate Domains
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38,000+ Users
Alibaba.com UNESCO Amazon Stoik Airbus
beehiiv
Synthflow
Overview

At a Glance

The domain is the first field every other enrichment needs. Datablist matches your company names against curated company databases, then falls back to a live Google search for the ones they miss.

What you give
  • Company Name: e.g. Datablist, one per row
  • Optional: Target Country: Narrows the match, set per list or per row
  • Nothing else: No domain, no URL, no LinkedIn page
How it's billed
  • 1 Credit per Database Match: The fast path, and the one most names take
  • 2.5 Credits per Google Lookup: Charged whether or not a domain comes back
  • Google Results Cached 48h: Re-runs after a settings change cost 1 credit
Calculator

How much will it cost you?

Tell us how many company names you need to resolve and we'll show you the cheapest way to get them.

= 1,750 credits
Which workflow?
%
Do you also need to:
Recommended planStarter: $25/mo
Credit top-up-
Credits you'll have5,000
Total this month $25
No credit card needed • View pricing
How credits work
1,000 credits = $1, so each credit costs a tenth of a cent. A database match costs 1 credit and is only charged when a domain comes back. A Google fallback lookup costs 2.5 credits and is charged either way, which is why the split between the two drives your bill. The match rate above is your estimate, not a Datablist figure: run a sample of a few hundred names first and set it from what you actually see. Google results are cached for 48 hours, so changing a setting and re-running inside that window costs 1 credit per row instead of 2.5. Plan credits renew monthly and reset if unused. Top-up credits never expire.
The Process

How it Works

Datablist works down from the cheapest, most reliable source to the broadest one, and scores what it finds.

Step 1
Upload your company names
Import a CSV or Excel file with one company name per row. Messy names are fine. If your list spans countries, add a country column and Datablist will use it to narrow each match.
Step 2
Databases first, then Google
Datablist matches your names against curated company datasets, which is fast and costs 1 credit per hit. Names the datasets miss fall through to a live Google search that skips directories and social networks.
Step 3
Every match gets a confidence
Each row comes back with High, Medium, Low, or Very Low confidence. Accept the high ones automatically, review the middle, and send what is left to the AI Agent with extra context.
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Workflows

Templates

Jump in with ready-made workflows built on company domains.

Guides

Related Tutorials

Learn the newest workflows with detailed step-by-step guides.

FAQ

Frequently Asked Questions

Answers to common questions about match rates, billing, and handling ambiguous company names.

It depends which path each name takes. A database match costs 1 credit and is only charged when a domain comes back, so 500 successful matches cost about 500 credits. A Google fallback lookup costs 2.5 credits and is charged whether or not it finds anything. Use the calculator above to model your own split.
How sure Datablist is that this domain belongs to that name. It comes back as High, Medium, Low, or Very Low. The point is triage at scale: accept High automatically, eyeball Medium before you use it downstream, and send Low and Very Low to a stronger method rather than emailing them.
A bare name is genuinely ambiguous, and no lookup can resolve it on its own. Two things help. Set a Target Country, per list or per row, to cut the candidate set down. For the names still left, run the AI Agent with extra context such as a city, an industry, or a description, and it will reason about which match fits.
The Status output comes back as not_found, or empty_name if the input cell was blank. Filter your view to those rows and give them another pass: add a country, turn on the Google fallback if you ran databases only, or move them to the AI Agent with more context.
By default Datablist skips non-root URLs and known directories such as Crunchbase, plus social networks like LinkedIn and Facebook, when it scores Google results. If an industry-specific directory is still slipping through, add it to Skip following domains and it will be excluded alongside the defaults.
Yes. Turn on Define target country per item and a Target Country input appears, which you map to a column. Accepted formats are ISO 3166 codes (FR, USA) or the full English name (Portugal). Rows with a missing or invalid country fall back to the global Target Country setting.
Not for Google. Those results are cached for 48 hours, so if you change a setting and re-run inside that window the row costs 1 credit instead of 2.5. To avoid reprocessing rows you already resolved, filter your view to the ones where the domain is empty and run on all view items.
The domain unlocks the rest of the stack. Company Enrichment adds industry, size, location, and founded year from it. The Waterfall Email Finder takes a name plus that domain and returns a verified address. Technology Enrichment reads the stack off the site.
Integrations

Related Enrichments

Pair the Company Domain Finder with complementary data tools in Datablist.

Free Tools

Try It Free First

Free versions of related tools, to try on a few rows before you scale up.