Purchasing manager email list: 23,889 US purchasing managers and buyers, free to download

Sign up with your work email: the 10M+ U.S. dataset is on your dashboard, one zip of two Parquet files. Unzip it into a folder named us_10m, then run this in Python (pip install duckdb). It writes the 23,889 purchasing managers and buyers with an email or a mobile to a CSV, each with their company, its website, industry and size, and their LinkedIn URL:

import duckdb

duckdb.sql(r"""
  copy (
    select p.FULL_NAME, p.CURRENT_JOB_TITLE, c.NAME as COMPANY, c.URL as WEBSITE, c.LINKEDIN_INDUSTRY as INDUSTRY,
           c.EMPLOYEE_COUNT_RANGE as EMPLOYEES, p.EMAIL, p.MOBILE_PHONE, p.CITY, p.STATE_CODE, p.LINKEDIN_URL
    from 'us_10m/us_smb_mid_market_persons.parquet' p
    join 'us_10m/us_smb_mid_market_companies.parquet' c on c.LINKEDIN_ID = p.CURRENT_JOB_COMPANY_LINKEDIN_ID
    where regexp_matches(p.CURRENT_JOB_TITLE, '\b(purchasing|procurement) (manager|director|agent)\b|\b(director|manager|head),? (of )?(purchasing|procurement)\b|\bbuyer\b', 'i')
      and not regexp_matches(p.CURRENT_JOB_TITLE, '\bmedia (planner )?buyer\b|\bbuyer.?s? (agent|specialist|representative)\b|\b(home|first[- ]time) ?buyer|\breal estate\b', 'i')
      and (p.EMAIL is not null or p.MOBILE_PHONE is not null)
  ) to 'us_purchasing_managers.csv'
""")

The pattern takes a title as written on LinkedIn, in any letter case, and the second one leaves out the titles it shouldn't take. To cut it by state, add and p.STATE_CODE = 'CA'; by size, and c.EMPLOYEE_COUNT_RANGE = '51-200'. Every column of the file and its fill rate: the free US B2B leads dataset.

The titles the most purchasing managers and buyers of the list hold, word for word. Titles held by fewer than 10 people aren't shown.

By the state on their LinkedIn profile. California holds 12.1% of them, Texas 8.4%.

By their company's industry on LinkedIn, the 10 largest. Construction comes first, with 7.1% of them.

By the employee range on their company's LinkedIn page. The free file holds companies of 11 to 500 employees. The 50M+ dataset holds every size: 115,693 purchasing managers and buyers, 39,944 with an email and 59,554 with a mobile. It unlocks once 3 people you invited sign up.

Each email in the file comes with EMAIL_VALIDATED_AT, the date it was last verified: 14,252 of the 14,322 emails of these purchasing managers and buyers (99.5%) were last verified on or after August 1, 2026. A person's job as it is today, their title and company, is the LinkedIn profile behind their URL: the LinkedIn profile API, $1.25 per 1,000 through Up2Data.

CEOs, CFOs, COOs, CTOs, CMOs, CIOs, business owners, founders, company presidents, executive directors, general managers, operations managers and directors, plant managers, facility managers and directors, safety managers and directors, supply chain managers and directors, logistics managers and directors, VPs of sales, VPs of marketing, sales directors, sales managers, marketing directors, marketing managers, HR managers and directors, IT managers and directors, software engineers and developers, VPs and directors of engineering, product managers, project managers, realtors and real estate agents, attorneys, paralegals, accountants and CPAs, bookkeepers, controllers, architects, recruiters, office managers, practice managers and administrators, store managers, insurance agents and brokers, physicians, nurses, dentists, pharmacists, physical therapists, veterinarians, financial advisors, loan officers and mortgage brokers, property managers, electricians, plumbers, HVAC professionals, superintendents, estimators, truck drivers. All 57, counted side by side: email lists by job title. Companies by industry and state: the free list of US companies.