Company Enrichment by Domain - Clearbit Alternative, No API Key

Turn a list of company websites into ready-to-use company profiles. Paste domains (or company names) -> get one row per company with name, description, logo, socials, public emails and phones, tech stack, email provider, industry and founding facts. About 3 seconds per company without the Wikidata step; the Wikidata step adds time on large lists, so switch it off for speed.

No API key, no login, no LinkedIn scraping. Everything comes from the company's own website, its public mail records (MX) and Wikidata.

What you get

Field	Meaning
domain, url	The company's domain and the final website address after redirects
name, legalName	Company name from structured data (JSON-LD), the site name tag or the page title
description, tagline	What the company says about itself
logo, favicon	Logo image (from the site's structured data or Wikidata) and site icon
industry, industryConfidence, industryKeywords	Plain-language industry guess, how sure it is (0 to 100) and the words that led to it
naicsCode, naicsTitle, sicCodes	NAICS and SIC codes, only when the match is strong
country, address, headquarters	From the site's structured data, Wikidata, or the country domain suffix (.de, .fr)
foundedYear, employeeCount, sizeHint	From the website or Wikidata. Only filled for companies that publish it.
linkedin, twitter, facebook, instagram, youtube, tiktok, github	Social links the company itself shows on its site
emails, thirdPartyEmails, phones	Public contacts. emails are on the company's own domain; thirdPartyEmails (for example gmail) are kept apart
emailProvider, mxHosts, receivesEmail	Which email system the domain uses (Google Workspace, Microsoft 365 ...) and whether it can receive mail
tech, techByCategory	Website platform, ecommerce, analytics, CRM, chat, payments, CDN (500+ signatures)
wikidataId, wikipediaUrl	Link to the Wikidata item, only when it lists the same website
confidence, fieldSources, sources	How much of the profile was filled (0 to 100) and which source supplied each field
status, error	ok, partial (site unreachable but other sources worked) or an error row

Honest note on confidence: it measures how complete the profile is, not whether each field is correct. fieldSources tells you where every value came from so you can judge it yourself.

3 ways to use it

1. Clean a CRM list: domains in, profiles out {"domains": ["stripe.com", "notion.so", "hubspot.com"]}
2. I only have company names {"domains": [], "companyNames": ["Shopify", "Allbirds", "Duolingo"]}
3. Fast and lean: only the basics for 10,000 domains {"domains": ["acme.com", "..."], "includeWikidata": false, "includeTech": false, "contactPagesToRead": 0, "concurrency": 10}

Input

Field	What to enter	Default
domains	Domains, website addresses or email addresses (the part after @ is used)	stripe.com, notion.so, hubspot.com
companyNames	Names whose website you do not know. Resolved through Wikidata, then a public autocomplete service	empty
includeEmails	Read the homepage and contact/about pages for public emails and phones	true
contactPagesToRead	Extra pages to read per company (0 to 4)	2
includeTech	Detect the tech stack	true
checkEmailProvider	Look up the email provider from MX records	true
includeIndustry	Guess the industry	true
includeWikidata	Add founding year, employees, headquarters (needs a matching Wikidata item, adds a few seconds)	true
maxCompanies	Safety cap, also your spending cap	1000
concurrency	Companies processed in parallel	5

If you pass only companyNames, the sample domains are ignored, so you are never charged for them.

Output example

{
  "type": "company",
  "domain": "allbirds.com",
  "url": "https://www.allbirds.com/",
  "status": "ok",
  "name": "Allbirds",
  "description": "Allbirds: The world's most comfortable shoes, flats, and clothing made with natural materials like merino wool...",
  "logo": "https://commons.wikimedia.org/wiki/Special:FilePath/Allbirds_logo.svg?width=256",
  "industry": "E-commerce / Retail",
  "industryConfidence": 93,
  "industryKeywords": ["free shipping", "shoes", "clothing", "apparel"],
  "foundedYear": 2014,
  "twitter": "https://twitter.com/allbirds",
  "instagram": "https://www.instagram.com/allbirds",
  "emails": ["help@allbirds.com"],
  "phones": ["+1 (424) 363-8064"],
  "emailProvider": "Microsoft 365",
  "receivesEmail": true,
  "tech": ["Shopify", "Cloudflare", "Google Tag Manager"],
  "wikidataId": "Q30591057",
  "confidence": 90
}

Download the dataset as JSON, CSV or Excel from the Storage tab.

Pricing (pay per event)

Event	Price
Company enriched	$0.003

You pay only for companies that were delivered. A domain that does not exist, a name that cannot be placed, or an empty row is returned as an error row and is not charged.

• 100 companies = $0.30
• 1,000 companies = $3.00
• 10,000 companies = $30.00

Pricing is pay per event, so the Apify platform usage is included.

Use it with

• Before: a Google Maps scraper (use its website column as domains), a lead export from any tool, or your CRM's company list.
• After: that_red_bird/email-verifier to verify the emails found, that_red_bird/lead-list-deduplicator to merge duplicates, that_red_bird/tech-stack-detector for a deeper technology report on a few sites.
• Make, Zapier, n8n: trigger on "run succeeded", then send the rows to Google Sheets, HubSpot or your CRM.
• AI agents / MCP: call that_red_bird/company-enrichment-by-domain with {"domains": ["example.com"]}. The agent receives a JSON profile with a confidence and the source of every field.

FAQ

Is this a replacement for Clearbit? For public, website-based facts, yes. It does not hold a private database, so it will not know a company's revenue or its employees' names. Where a field is not public, it stays empty rather than guessed.

Is it legal? It reads public web pages and public records only, the same pages you can open in a browser. You are responsible for how you use contact data (GDPR, CAN-SPAM and local rules).

Why is an email missing? Many companies show only a contact form. We never guess addresses (no info@ patterns); we return only what is printed on the site.

Why is the industry empty or low-confidence? The label comes from the words on the homepage. If the page is a login screen or has no description, the Actor returns a low confidence or nothing instead of a wrong label.

Why is the founding year or employee count missing? Those come from the website's structured data or Wikidata. Smaller companies are usually not on Wikidata. A Wikidata match is accepted only when it lists the same website.

Sites that block bots? A blocked site is retried through the Apify proxy automatically. If it still fails, the row is returned with status: partial when other sources worked (MX, Wikidata), or as an uncharged error row.

How fresh is the data? It is read live on every run. Only Wikidata facts can be older.

Can I schedule it? Yes. Schedule it after the Actor that produces your domains.

Limits

• LinkedIn is not scraped. LinkedIn links are shown only when the company's own site or Wikidata lists them.
• No private data, no personal emails, no guessed emails, no revenue or funding.
• Employee counts and founding years exist only for companies on Wikidata or with structured data on their site.
• Industry is a keyword-based guess with a stated confidence, not an official classification.
• Sites behind strict bot protection may return partial data.

Support

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