Cognism alternative: U.S. decision-makers' mobiles as one free file

Cognism says it refreshes 95% of its director-level and above contacts every 30 days. The file gives each person the date their record was last refreshed, UPDATED_AT, so you can count it. Unzip it 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
""")

# Directors and above, by the month (UTC) their record was last refreshed
duckdb.sql("""
  select strftime(UPDATED_AT at time zone 'UTC', '%Y-%m') as refreshed, count(*) as people, count(MOBILE_PHONE) as with_a_mobile
  from people
  where level(CURRENT_JOB_TITLE) <= 4
  group by refreshed order by refreshed desc
""").show(max_rows=30)

That's 95% of 1,129,058 refreshed in the six months before the file, and 320,997 (28%) in its last 30 days: by Cognism's measure, the file is older. It's also free, and whole. Then the freshest of them, with a mobile:

# Directors and above with a mobile, refreshed in September 2026, with their company, to a CSV
duckdb.sql("""
  copy (
    select p.FULL_NAME, p.CURRENT_JOB_TITLE, c.NAME as COMPANY, c.EMPLOYEE_COUNT_RANGE, p.MOBILE_PHONE, p.EMAIL, p.CITY, p.STATE_CODE,
           p.LINKEDIN_URL, p.UPDATED_AT
    from people p
    left join companies c on c.LINKEDIN_ID = p.CURRENT_JOB_COMPANY_LINKEDIN_ID
    where level(p.CURRENT_JOB_TITLE) <= 4 and p.MOBILE_PHONE is not null and p.UPDATED_AT >= '2026-09-01 00:00:00+00'
    order by p.STATE_CODE, p.CITY
  ) to 'refreshed_decision_makers.csv'
""")

It writes 198,372 people, every one with their company and 133,209 with an email too: 79,809 at companies of 11 to 50 employees, 75,531 at 51 to 200 and 43,032 at 201 to 500. Change '2026-09-01' for an older date to widen it, or level(...) <= 4 to = 1 for owners, founders and CEOs only. The file's mobiles aren't checked against any Do Not Call list: in the U.S., the TCPA and the National Do Not Call Registry are yours to follow.

A refreshed record still ages. Before you call, the API reads the person's LinkedIn profile behind the URL in the CSV, live: Live. Each request goes to the provider and gets the profile as it is today. $1.25 per 1,000 through Up2Data (a profile it can't find is free), $3.70 per 1,000 through HarvestAPI. Up2Data takes $1 a day per account (800 profiles), with a shared daily limit for all customers, then answers 429 until 00:00 UTC; HarvestAPI has no daily limit.

So the list's 23,936 Californians cost $29.92 over 30 days at 800 a day through Up2Data, or $88.56 at once through HarvestAPI. The same check every week, on a list you keep: track LinkedIn job changes.

• Phone-verified mobiles, and a mobile verified on demand on Pro.
• Contacts outside the U.S.: the files hold people at U.S. companies only.
• Do Not Call lists checked for you, in 16 territories.
• Intent data, hiring, funding and job-change signals, and its prospecting platform with AI search and CRM enrichment.

Other tools' phone credits next to the file: Kaspr alternative, Lusha alternative, ZoomInfo alternative; one decision-maker with an email per company: Snov.io alternative; lists by job title: email lists.

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