Company Data by Domain

Pay per result: $1.496/1k on the Free plan down to $1.096/1k on Gold. Free Apify plan: up to 100 per run, as many runs as your credit covers. Misses and notices are free.

Company data by domain: give a list of company domains, get one company per domain, with name, industry, employee count, location and LinkedIn page. No login, no cookies, no start fee. You pay only for a company row you receive.

No login | Domains, URLs or emails in | One company per row | Shared domains skipped, never guessed | Unknown domains = free | JSON/CSV export

Domain in, company out. Many company tools start from a company name or a LinkedIn URL. This one starts from the domain you already hold in a CRM, a form or a target list. It returns a slim company card, not a full profile: no description, no funding, no founding year. When several unrelated companies declare the same domain, it returns the one that is clearly the owner or nothing, and the nothing is free.

See all actors by b2bdata

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💳 Pricing and plans

One event, company-card, charged once per company row delivered. Prices per 1,000 companies (set on the Pricing tab):

Event	When it is charged	Free plan	Gold plan
company-card	A company row is delivered to your dataset	$1.496	$1.096

Bronze and Silver prices are on the Pricing tab. Higher Apify plans only lower the price. Empty runs, unknown domains, skipped domains, failed lookups, unreadable entries and notices are free, and there is no start fee.

Plan-credit math. The free plan's $5 monthly credit covers about 3,340 companies at the Free price.

Success-only billing

You are charged only for a company row you receive. A domain with no company on file gets one free notice row (reason: "unknown_domain"). A domain that several unrelated companies share, with no clear owner, gets one free notice row (reason: "no_confident_match"). An entry that is not a domain, a repeat, or a lookup that fails is listed in MISSES with its position and a reason and costs nothing.

The free plan

Free Apify accounts get up to 100 domains looked up per run, and as many runs as their Apify credit covers. Nothing is stored on our side. When a list is longer, the first 100 valid domains are looked up and one free notice row (reason: "free_plan_limit") says how many were not looked up; they are not charged. Run again with the rest, or use a paid Apify plan for no per-run limit.

Keep a run small while you test

limit caps the whole run (default and maximum 2,500). Try one domain with limit: 1, read the row, then scale up. A run looks up one domain a second, so 2,500 domains take about 45 minutes.

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⚡ Why this company data actor?

• Start from the domain. stripe.com, https://www.stripe.com/about and jane@stripe.com all become stripe.com. No company-name matching and no LinkedIn URL needed.
• It says how it chose. Every row carries matchType and otherCompaniesOnDomain, so you can see when a domain is shared and how the company was picked.
• It does not guess on shared domains. Public email domains, website builders and blog platforms are declared by many unrelated companies. Those return a free notice, not a random company.
• Success-only, no start fee. Unknown domains, skipped domains, bad entries, repeats and notices are free.

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🎯 Use cases: turn a domain column into company records

• CRM gap fill. You hold a domain for an account and need the company name, industry and size.
• Lead routing. Employee count and industry from a work-email domain at sign-up.
• List cleaning. Check which domains in a target list belong to a company with a LinkedIn page.
• Agent workflows. An AI agent holds a domain and needs the company behind it in a single call.

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🚀 Quick start: companies for a list of domains

1. One domain

{ "items": ["stripe.com"], "limit": 1 }

2. A list, in any form

{ "items": ["openai.com", "https://www.shopify.com/about", "sales@airbnb.com"] }

Each entry becomes its bare domain before the lookup.

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⚙️ Inputs

Key	Type	Default	What it does
items	array of strings	required	Company domains, website URLs or email addresses. A company name is not a domain and is listed in MISSES as invalid_domain. The same domain written twice is looked up once. Free plan: 100 domains per run. Maximum 2,500 entries.
limit	integer	2,500	Most companies delivered in the whole run, which also caps what is charged. Maximum 2,500. Domains not reached are listed in MISSES.
includeAudit	boolean	false	Adds an audit object to each row.

Any other field stops the run before a lookup with remove unsupported fields: .... Nothing is charged.

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📤 Output

One result row per company. Rows keep input order. Empty values are left out.

Key	Type	Meaning, and when it is missing
domain	string	The domain from your entry, cleaned
name	string	Company name
linkedinUrl	string	Public company page URL
industry	string	Industry label. Missing for many companies
employeeCount	integer	Employee count on file. Missing when it is not on file
location	string	Headquarters place as written on the company page
logoUrl	string	Logo image URL. Missing when there is none
matchType	string	How the company was chosen: only_company, name_matches_domain or largest_by_headcount
otherCompaniesOnDomain	integer	How many other companies on file declare the same domain (the data returns at most 10 companies per domain, so this counts up to 9)
audit	object	Only with includeAudit: requestId, latencyMs, candidates, inputRaw

Example output (the shape is real, the values are illustrative):

{
  "domain": "stripe.com",
  "name": "Stripe",
  "linkedinUrl": "https://www.linkedin.com/company/stripe",
  "industry": "Internet",
  "employeeCount": 16694,
  "location": "South San Francisco, California",
  "logoUrl": "https://example.com/logo.png",
  "matchType": "name_matches_domain",
  "otherCompaniesOnDomain": 9
}

How to read the rows

• One domain can belong to many companies on file. In a probe of 16 domains, 13 returned the maximum of 10 companies each (stripe.com and microsoft.com among them), most of them small unrelated records. The row is the owner, not the largest.
• matchType tells you how sure to be. only_company: exactly one company declares the domain. name_matches_domain: the company is named like the domain (Notion for notion.so) and is not dwarfed by another. largest_by_headcount: no company is named like the domain, but one has at least 50 employees and ten times the runner-up (Alphabet Inc. for abc.xyz).
• only_company is the weakest. A domain declared by one small company is returned as that company. Check employeeCount and linkedinUrl before you act on it.
• Refused on purpose. In the same probe, gmail.com, example.com, wordpress.com, github.io and fb.com each returned a free notice, because the companies on file for them are unrelated or too close in size.
• The rule can miss a real owner. A company whose name differs from its domain and whose size is not ten times the runner-up is skipped (fb.com is the example). You are not charged for it.
• Employee count is a snapshot of the number on the company page, not a payroll figure.

Other records in the run

• MISSES (key-value store): [{index, input, reason}] for every entry without a result row. Reasons: unknown_domain, no_confident_match, invalid_domain, duplicate_input (the same domain as an earlier entry; duplicateOf names it), not_looked_up_limit (the run limit was reached first), or Upstream HTTP <code> / Upstream unavailable.
• errors-company-by-domain (key-value store): the lookups that failed for a technical reason, so you can re-run only those domains.
• RUN_SUMMARY: counts (requested, valid, looked up, companies delivered, how many per matchType).
• Notice rows (type: "notice") appear for an unknown domain, a shared domain with no clear owner, a free-plan list longer than 100 (free_plan_limit), a reached limit (limit_reached), a reached spend limit (charge_limit_reached) or invalid input (invalid-input). Notices are never charged.

What is NOT returned

• Description, funding, founding year or website text (use company-domain-enrichment-api for firmographics)
• People at the company (use people-at-company)
• Email addresses or phone numbers (use email-finder)
• A company from a name (use company-name-to-domain to get the domain first)

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🛡️ Reliable results

Our data promise. We work to keep the data current, and we stand behind it. If a company is missing, the wrong company comes back or a row looks wrong, open the Issues tab with your run link. We review every report and sort it out with you, case by case.

• No data is free and visible. Every domain without a row is in MISSES with its position and a reason and is never charged.
• No guesses on shared domains. A domain with no clear owner returns a free notice.
• Repeats are charged once. The same domain written twice is one row.
• Bounded pace. Lookups run at about 60 a minute, so a long list takes time. The run timeout is one hour.
• Typos fail early. An unsupported input field, a bad limit or a list above 2,500 entries stops the run before any charge.

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🤖 For AI agents (MCP)

This actor runs through the Apify MCP server. Prompt to copy:

"Use b2bdata/company-by-domain with items=["stripe.com"] and limit=1. Return name, industry, employeeCount and linkedinUrl."

When to use it. You hold a company domain and need the company name, industry, size and LinkedIn page. When not to. You need a description or funding (use b2bdata/company-domain-enrichment-api), people (use b2bdata/people-at-company) or a domain from a company name (use b2bdata/company-name-to-domain). Input contract. items array of domains, URLs or emails (at most 2,500); optional limit 1-2,500. Output contract. One row per domain with domain, name, linkedinUrl, industry, employeeCount, location, matchType. Output is deterministic and schema-stable. Domains without a credible company are a free notice row and listed in MISSES. Smoke test. limit: 1 on a well-known domain returns one row. Error cases. No valid domains means no entry was a domain. remove unsupported fields, a bad number or too many entries ends the run SUCCEEDED with one free invalid-input notice row and nothing charged.

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🔌 Integrations: send results anywhere

1. API. Fetch rows from the run's default dataset: GET /v2/datasets/{datasetId}/items?format=csv.
2. Webhook on run success to push rows to your own endpoint.
3. n8n, Make, Zapier. Use the native Apify nodes: run the actor, then read the dataset.
4. Google Sheets, Airtable, HubSpot, Salesforce, Clay. Join on domain and map name, industry and employeeCount to account fields.

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🕐 Schedule examples

• Weekly CRM refresh. A schedule with a saved task that points at your account-domain list.
• New-signup enrichment. A webhook from your sign-up form starts a run with the new domains.

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🔗 Related actors

• b2bdata/company-domain-enrichment-api: richer firmographics for a domain, with description, size band, founding year and funding signal. Open
• b2bdata/people-at-company: the people at a company, one row per person, by domain. Open
• b2bdata/company-name-to-domain: the domain for a company name. Open
• b2bdata/headcount-by-department: how many people a company has per team. Open

See all actors by b2bdata

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❓ FAQ

Data and coverage

How do I get company data from a domain? Put the domain in items and run. You get one row with name, industry, employee count, location and LinkedIn page.

Why did a domain return a notice instead of a company? Either no company is on file, or several unrelated companies share the domain and none stands out. Both are free and are in MISSES with the reason.

Can I look up a company by name? No. A name is not a domain and is listed as invalid_domain. Use b2bdata/company-name-to-domain first.

Why is industry missing on some rows? Many companies on file have no industry. Empty values are left out of the row.

Do I need a LinkedIn account or cookies? No. It is a lookup without login, cookies or an account to ban.

Pricing

What do I pay when a domain has no data? Nothing. There is no start fee, and unknown domains, skipped domains, bad entries, repeats and notices are free.

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🛟 Support

Use the Issues tab on this actor's Apify page for bugs, questions and feature requests. We answer within 48 hours on working days. Please include the run ID and the input you used. Published on Apify by b2bdata. Not affiliated with, endorsed by, or sponsored by any company or person named in the examples above.