SignalHire alternative: U.S. mobile numbers and emails in one free file

Emails & Phones has the same tiers and prices as Phones: one credit for an email, a phone or both. For the second Phones tier, SignalHire's page shows 435 credits a month billed monthly but 5,400 a year billed yearly, not 5,220; both are copied as shown. The phone plans cost twice the email plans per contact at their first tier: $163.33 per 1,000 against $81.67, billed monthly. Canceling stops the next payment, and the credits left last to the end of the billing cycle, says its FAQ; its terms give no refunds.

SignalHire's Search API finds people by a Boolean job title, a place and years in the current role. Its docs' example is (Software AND Engineer) OR Developer in New York. The results come without contacts, count against a daily quota, and each contact then costs a credit. The free file gives each person their title, city and state, and, when their profile shows it, the month their current job started. It downloads as one zip of two Parquet files: 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'")

# SignalHire's own example search, (Software AND Engineer) OR Developer, minus business, real estate and course developers
duckdb.sql(r"""
  create macro developer(title) as
    (regexp_matches(title, '\bsoftware\b', 'i') and regexp_matches(title, '\bengineer\b', 'i') or regexp_matches(title, '\bdeveloper\b', 'i'))
    and not regexp_matches(title, '\b(business|real estate|property|land|curriculum|course|instructional) developer\b', 'i')
""")

# Software engineers and developers by city, with how many have a mobile and an email
duckdb.sql("""
  select CITY, STATE_CODE, count(*) as people, count(MOBILE_PHONE) as with_a_mobile, count(EMAIL) as with_an_email
  from people
  where developer(CURRENT_JOB_TITLE)
  group by all order by people desc limit 10
""").show()

All told, 104,545 software engineers and developers at 48,754 companies in 7,481 cities: 43,534 with a mobile, 46,258 with an email, 65,187 with one or the other. At SignalHire, that's 65,187 credits if it found them all: 33 months of an unlimited plan at 2,000 a month. Next, the New York developers in their job two years or more, like SignalHire's years-in-role filter:

# New York's, in their current job since October 2024 or before, with a mobile or an email, to a CSV
duckdb.sql("""
  copy (
    select p.FULL_NAME, p.CURRENT_JOB_TITLE, p.CURRENT_JOB_START_DATE, c.NAME as COMPANY, c.EMPLOYEE_COUNT_RANGE, c.LINKEDIN_INDUSTRY,
           p.EMAIL, p.MOBILE_PHONE, p.LINKEDIN_URL, p.UPDATED_AT
    from people p
    left join companies c on c.LINKEDIN_ID = p.CURRENT_JOB_COMPANY_LINKEDIN_ID
    where developer(p.CURRENT_JOB_TITLE) and p.CITY = 'New York' and p.STATE_CODE = 'NY'
      and p.CURRENT_JOB_START_DATE <= '2024-10-01'
      and (p.EMAIL is not null or p.MOBILE_PHONE is not null)
    order by p.CURRENT_JOB_START_DATE
  ) to 'new_york_developers.csv'
""")

Of New York's 3,907, 3,176 have a start date and 2,052 started in October 2024 or before. The CSV gets the 1,301 of them with a mobile or an email, at 1,133 companies: 720 with a mobile, 1,020 with an email, 439 with both. 421 are at companies of 11 to 50 employees, 561 at 51 to 200 and 319 at 201 to 500, and the most common titles are Software Engineer (427), Senior Software Engineer (172) and Software Developer (83). Change 'New York' for another city, or the title in the macro for another job. Before you email or call, follow CAN-SPAM for email, and the TCPA and the National Do Not Call Registry for calls and texts.

A start date is what the person's profile said when their record was read: 1,279 of the 1,301 were read between April and September 2026. Before you write, send each LinkedIn URL in the CSV through Datacircle's API. Right now we have 2 live LinkedIn profile APIs that we trust: Up2Data and HarvestAPI. You send the provider's own request to api.datacircle.dev, with your Datacircle key. That's the only change. 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 1,301 people cost up to $1.63 through Up2Data over at least 2 days, up to 800 a day, or up to $4.81 at once through HarvestAPI. To run the same check every week on a list you keep, see how to track LinkedIn job changes.

• Contacts outside the U.S., and personal emails: it counts 900M+ profiles.
• A browser extension that shows contacts on LinkedIn, GitHub, X, Facebook and Meetup profiles.
• Search by seniority, department and open-to-work status, and email and phone lookups across outside sources in real time.
• Email sequences, and ATS and CRM integrations.

More comparisons with the free file: ContactOut alternative, RocketReach alternative, Kaspr alternative, Prospeo alternative. Software engineers by state and industry: software engineers email list. What each tool's free plan gives: free B2B database.

The free 10M+ file is on your dashboard once you sign up with your work email, with the $5 credit and your API key. The co-op's flat file is a separate file, new every morning. Add $50 to your account: you get $50 of API PLUS the flat file. Or invite 3 people who sign up.