Snov.io alternative: U.S. work emails as one free file

Unused credits roll over while the plan stays active, says its help center; unused recipients don't, says its pricing page. The list below is 225,733 people with an email: found one by one on Snov.io, that many credits takes 3 months of Ultra, $2,214 billed monthly.

The file holds 2,790,286 emails at 404,322 companies: 3 at the median company, 625 at the most, and 121,933 companies with just one. A first campaign that writes to one person per company needs one row per company: the person with the highest title, and of two at the same level, the email verified most recently. Unzip the file into us_10m/, pip install duckdb, and:

import duckdb

duckdb.sql("create view people as select * from 'us_10m/us_smb_mid_market_persons.parquet'")
duckdb.sql("create view companies as select * from 'us_10m/us_smb_mid_market_companies.parquet'")

# A title's level: 1 an owner, a founder, a CEO or a president; 2 another chief officer; 3 a VP; 4 a director or a head of; 5 a manager; 6 anyone else
duckdb.sql(r"""
  create macro level(title) as case
    when regexp_matches(title, '\bassistant\b.*\b(to|for)\b|\bexecutive assistant\b', 'i') then 6
    when regexp_matches(title, '\b(owner|co-owner|founder|co-founder|cofounder|ceo|chief executive officer)\b', 'i')
      and not regexp_matches(title, '\b(product|process|system|data|service|application|platform) owner\b|\bowner.?s rep', 'i') then 1
    when regexp_matches(regexp_replace(title, 'vice[ -]president', 'vp', 'gi'), '\bpresident\b', 'i') then 1
    when regexp_matches(title, '\b(chief\b.*\bofficer|cfo|coo|cto|cmo|cro|cio|ciso|chro)\b', 'i') then 2
    when regexp_matches(title, '\b(vp|svp|evp|vice[ -]president)\b', 'i') then 3
    when regexp_matches(title, '\b(director|head of)\b', 'i') then 4
    when regexp_matches(title, '\bmanager\b', 'i') then 5
    else 6
  end
""")

# Each company's one person with an email: the highest level, then the email verified most recently
duckdb.sql("""
  create table first_contact as
  select level(p.CURRENT_JOB_TITLE) as LEVEL, p.FULL_NAME, p.CURRENT_JOB_TITLE, p.EMAIL, p.EMAIL_VALIDATED_AT,
         c.NAME as COMPANY, c.URL as WEBSITE, c.EMPLOYEE_COUNT_RANGE, c.LINKEDIN_INDUSTRY, c.HQ_STATE_CODE, p.LINKEDIN_URL
  from people p
  join companies c on c.LINKEDIN_ID = p.CURRENT_JOB_COMPANY_LINKEDIN_ID
  where p.EMAIL is not null
  qualify row_number() over (partition by c.LINKEDIN_ID order by LEVEL, p.EMAIL_VALIDATED_AT desc, p.LINKEDIN_URL) = 1
""")

# One row per company: how many companies get each level
duckdb.sql("select LEVEL, count(*) as companies from first_contact group by LEVEL order by LEVEL").show()

Levels 1 to 4 are 225,733 companies: 131,340 of 11 to 50 employees, 71,576 of 51 to 200 and 22,817 of 201 to 500. The rule reads titles as LinkedIn writes them, so a creative director at an agency is level 4, and a vice president never passes for a president. Then a list, software companies here:

# Software companies' decision-makers, one per company, to a CSV
duckdb.sql("""
  copy (
    select * exclude (LEVEL) from first_contact
    where LEVEL <= 4 and LINKEDIN_INDUSTRY = 'Software Development'
    order by HQ_STATE_CODE, COMPANY
  ) to 'software_decision_makers.csv'
""")

It writes 9,080 people at 9,080 companies, each with the company's website and the person's LinkedIn URL: 5,107 at 11 to 50 employees, 2,998 at 51 to 200 and 975 at 201 to 500; 8,067 of their emails were last verified on or after September 1, 2026. Change the industry, drop it for all 225,733, or pick a title of your own: email lists by job title has 57 of them. The laws on emailing them are yours to follow: in the U.S., CAN-SPAM.

• Sending: campaigns by email and LinkedIn, warm-up, mailbox rotation, one inbox for the replies. Datacircle sends no email.
• Emails found by name and domain or on any website, and verified when you ask: the files hold people at U.S. companies only.
• Its Chrome extensions on LinkedIn and on company websites.
• Its CRM, and its integrations with HubSpot, Pipedrive, Zapier and Make.

Datacircle's API answers the LinkedIn profile behind a URL, the person's whole profile, at $0.00125 a profile found: LinkedIn profile API. The file's emails by company domain: Hunter.io alternative; by the date each was verified: UpLead alternative; what each tool's free plan gives: free B2B database.

The free file is on your dashboard once you sign up with your work email, with the $5 credit and your API key.