Clearbit alternative: company data by domain, as a free file

Every row but the last is from Clearbit's How Can I Buy Clearbit?, the Logo API from its blog. Clearbit says it's focused on supporting its current customers.

From HubSpot's knowledge base, Get started with data enrichment (updated July 10, 2026): data enrichment comes with a Starter, Professional or Enterprise subscription to Marketing, Sales, Service, Data or Content Hub, and “does not consume HubSpot Credits”. A company is enriched from its domain, a contact from a first name, last name and work email, and the values go into HubSpot's records, by hand, in bulk or automatically for new records.

If your CRM is HubSpot and you pay for a hub, its enrichment is the simpler way. The file is for everything outside it.

They have 1,322,184 distinct domains, and 1,280,516 of them (97%) belong to one company only. A domain shared by several LinkedIn pages, a group and the companies it bought, or a franchise, answers each of them, and a social page given as a website (a Facebook or Instagram URL) matches every company that gave one. Every column, with its fill rate: the free US B2B leads dataset.

50M+ U.S. B2B: 43.6M people and 6.7M companies in one 9.6 GB zip, a new one every month. Its companies: 6,700,867, 5,150,239 with a website, 4,792,013 distinct domains. Add $50 to your account: you get $50 of API PLUS the flat file. Or invite 3 people who sign up.

Unzip the free file into us_10m/ and pip install duckdb. Each query below ran on the October 2026 file, on a laptop, in under a second. First, the companies with their domain:

import duckdb

# Each company, with its domain: the website's host, without www.
duckdb.sql("""
  create view companies as
  select *, lower(regexp_extract(URL, '^(?:https?://)?(?:www[.])?([^/:?#]+)', 1)) as DOMAIN
  from 'us_10m/us_smb_mid_market_companies.parquet'
""")

One company from its domain, as Clearbit's Company API answered:

# One company from its domain
duckdb.sql("""
  select NAME, LINKEDIN_INDUSTRY, EMPLOYEE_COUNT_RANGE, FOUNDED, HQ_CITY, HQ_STATE_CODE, LINKEDIN_URL, LOGO_URL
  from companies
  where DOMAIN = 'acme.com'
""").show()

LOGO_URL links to the company's logo on LinkedIn, where Clearbit's Logo API gave one from the domain. A company with no logo there has LinkedIn's placeholder.

A whole list of domains, written to a CSV. A row of yours that the file doesn't hold stays in it, with the company's columns empty, and a website pasted whole (https://www.acme.com/about) is cut down to its domain:

# domains.csv: your list, one domain or website a line under a "domain" header
duckdb.sql("""
  copy (
    select d.domain, c.NAME, c.LINKEDIN_INDUSTRY, c.EMPLOYEE_COUNT_RANGE, c.FOUNDED, c.HQ_CITY, c.HQ_STATE_CODE, c.LINKEDIN_URL, c.LOGO_URL
    from read_csv('domains.csv', header = true) d
    left join companies c on c.DOMAIN = lower(regexp_extract(d.domain, '^(?:https?://)?(?:www[.])?([^/:?#]+)', 1))
  ) to 'companies.csv'
""")

A company's domain from its name, as Clearbit's Name to Domain API did:

# A company's domain from its name
duckdb.sql("""
  select NAME, DOMAIN, HQ_CITY, HQ_STATE_CODE, EMPLOYEE_COUNT_RANGE
  from companies
  where NAME ilike 'acme%'
""").show()

The people who work there, with their emails, are in the same file: Hunter.io alternative gives that query. A list by state, industry and size: free list of US companies.

• Enrich the records where they are, in HubSpot, and keep them up to date there.
• Enrich a contact from a name and a work email.
• Buyer intent, and the companies visiting your website.
• Look up companies beyond a file: the free one holds U.S. companies of 11 to 500 employees only, the 50M+ one U.S. companies of every size.

Datacircle sells data, not a CRM. Its API answers the LinkedIn profile behind a URL, the person's whole profile, at $0.00125 a profile found: LinkedIn profile API. The company data is in the file, on your dashboard once you sign up with your work email, with the $5 credit and your API key.