Company Name Cleaner & Deduplicator [$0.30/1K 💰]

Firmcomb: Company Name Cleaner, Normalizer & Deduplicator

Messy company names in, clean names and duplicate groups out

Company name cleaner for CRM, lead and vendor lists: paste names or link a CSV or Google Sheet; get each company's clean name, a casual name for emails ("Acme Brick", not "THE ACME BRICK COMPANY, INC."), its legal form, any d/b/a trading name, and a duplicate group that catches "Acme Brick Co" and the typo "Acme Brik Company". $0.30 per 1,000 names; empty rows free, no start fee.

▶ Try it now with a prefilled input · $0.0003 per name (1,000 names = $0.30) · Apify's free plan includes $5 of credit a month, enough for more than 15,000 names

Built for: RevOps teams cleaning CRM accounts before a merge · SDRs personalising emails with the name people actually say · Procurement teams deduplicating vendor lists · List builders cleaning names before paying to enrich them

Real output (real run on Apify, 11 Nov 2026, 12 names in 1.5 s):

Input	cleanName	casualName	legalForm	Status	Group
THE ACME BRICK COMPANY, INC.	Acme Brick Company	Acme Brick	Inc.	unique	g1 (3 rows)
Acme Brick Co	Acme Brick	Acme Brick	Co.	duplicate (same name)	g1
Acme Brik Company	Acme Brik	Acme Brik	Co.	duplicate (similar name, 0.978)	g1
Smith Holdings LLC d/b/a Joe's Pizza	Smith Holdings	Joe's Pizza	LLC	unique	g5
HSBC HOLDINGS PLC	HSBC Holdings	HSBC	PLC	unique	g11
Delta Air Lines / Delta Faucet Company	Delta Air Lines / Delta Faucet		– / Co.	both unique	kept apart

Plug it in (copy-paste):

• Make: Apify → Run an Actor · Actor cybermax/company-name-cleaner · Run synchronously: Yes · Input {"companies": ["{{1.company}}"]} → Apify → Get Dataset Items ({{2.defaultDatasetId}}) → write cleanName and casualName back.
• Zapier: Apify → Run Actor · Actor cybermax/company-name-cleaner · Input {"listUrl": "{{Google Sheet URL}}", "onlyDuplicates": true} · Wait for run to finish: Yes → Find Dataset Items → a duplicate report.
• n8n: HTTP Request · POST https://api.apify.com/v2/acts/cybermax~company-name-cleaner/run-sync-get-dataset-items · Header Authorization: Bearer YOUR_APIFY_TOKEN · JSON body {"companies": ["ACME BRICK COMPANY, INC.", "Acme Brick Co"]}.
• MCP (Claude, Cursor, any agent): server https://mcp.apify.com/?tools=cybermax/company-name-cleaner with header Authorization: Bearer YOUR_APIFY_TOKEN, then ask "clean and dedupe the company names in this sheet".

What you get (one row per input row)

Field	Example	Meaning
cleanName	Acme Brick Company	Legal forms stripped (60+: Inc, LLC, Ltd, PLC, GmbH, GmbH & Co. KG, AG, S.A., SAS, S.r.l., B.V., Pty Ltd, Pvt. Ltd., K.K., Sp. z o.o.…), "The" dropped, ALL CAPS fixed, acronyms kept.
casualName	Acme Brick	What people say: the trading name if there is one, without trailing "Company", "Technologies", "Holdings"… Use it in email openers.
legalForm, entityType, legalFormCountry	Inc., corporation, us	Normalised legal form, what kind of entity it is, and where that form is used.
dbaName, formerName	Joe's Pizza	Split out of "d/b/a", "t/a", "trading as", "aka" and "(formerly …)".
domain	figma.com	From "Name | domain", or a website/email column; equal domains group as one company.
matchKey	acme brick	The comparison key (lowercase, no accents, punctuation or legal forms).
groupId, groupSize, duplicateOf, canonicalName, matchReason	g1, 3, 0, Acme Brick Company, same name	Duplicate groups: the first row of a group is unique, the rest are duplicate with the reason (same name, same domain, or similar name with its score).
input, rowNumber	your whole row	Sheet and dataset rows come back whole, so results line up with your list.

Input

Field	Default	What it does
companies	–	One name per line, or "Name | domain", or JSON objects (CRM rows).
listUrl	–	A CSV file or a Google Sheet shared as "anyone with the link".
datasetId	–	Another Actor's dataset (a Google Maps or directory scrape, say).
nameColumn, domainColumn	auto	Detected when called company / name / account name / organization / vendor, and domain / website / url / email.
fuzzy, threshold	true, 0.92	Group near-duplicates (typos, spacing). 0.92 merges "Microsoft"/"Microsfot" but keeps "Delta Air Lines" and "Delta Faucet" apart; short names must match exactly.
keepLegalForm	false	"Monzo Bank Ltd" instead of "Monzo Bank" in cleanName.
onlyDuplicates	false	Return (and pay for) only rows that have duplicates.

Pricing

$0.0003 per name cleaned ($0.30 per 1,000), no start fee. Empty or unreadable rows are free, and with onlyDuplicates the unique rows are free. Store rivals for the same job (Apify Store API, 11 Nov 2026): $0.0005 per row plus a start fee (ultimatemc/company-name-canonicalizer), $0.0004 per row plus a start fee (javitax47/lead-cleaner), $0.0003 per row on the free tier (webdata_labs/lead-list-deduplicator).

Why Firmcomb

• A casual name for personalisation, not just a stripped legal name: "HSBC" from "HSBC HOLDINGS PLC", "Joe's Pizza" from a d/b/a.
• Safe fuzzy matching: typos and spacing merge ("Acme Brik", "Face Book"), different companies with a shared first word don't ("Delta Air Lines" vs "Delta Faucet"), and every merge says why.
• Matches on domains too, so "Stripe Payments" and "Stripe, Inc." group when they share stripe.com.
• Your rows stay whole from a sheet or dataset; no re-joining afterwards.
• Pure text processing: 100,000 names run in seconds, nothing is looked up online, nothing leaves the run.

FAQ

Why clean names before enriching them? Duplicates cost money in every paid lookup after this step, and clean names match better. Clean and dedupe here, then look up domains with Namewhere.

Does it change my CRM? No. It returns rows; you decide what to write back (Make, Zapier, n8n or a CSV export).

Which languages and countries? Latin-script names worldwide; accents are kept in cleanName and ignored for matching. Legal forms from the US, UK, EU, Nordics, Australia, India, Singapore, Malaysia, Japan, Brazil, Mexico, Poland and Czechia.

Can an AI agent use it (MCP)? Yes. Add https://mcp.apify.com/?tools=cybermax/company-name-cleaner as an MCP server in Claude, Cursor, VS Code or any MCP client.

Can I call it from Python, JavaScript or plain HTTP? Yes. POST your input JSON to https://api.apify.com/v2/acts/cybermax~company-name-cleaner/run-sync-get-dataset-items with your Apify token, or use the apify-client package.

Start now

▶ Try Firmcomb with a prefilled input · $0.30 per 1,000 names. Questions or a missing legal form? Open an issue on the Store page and it gets answered the same day.

Also from CyberMax

• Namewhere — company name to domain: the official website domain for each clean name, with a confidence score.
• Firmfold — company enrichment by domain: company data for each domain.
• Hollerdex — website emails, phones & socials: public contact details from each company's site.
• Logolark — company logo API: the logo for each domain.
• Picpail — bulk image downloader: every image from a list of pages or a whole site, in one ZIP.

Changelog

• 11 Nov 2026: first release: clean, casual and canonical names, 60+ legal forms, d/b/a and former names, exact, domain and fuzzy duplicate groups, CSV / Google Sheet / dataset input.

© 2026 CyberMax. All rights reserved.

Found Firmcomb useful? A quick rating helps others find it.