Phone Number Finder by Name & Company — Verified Mobile Numbers avatar

Phone Number Finder by Name & Company — Verified Mobile Numbers

Pricing

from $9.00 / 1,000 mobile number founds

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Phone Number Finder by Name & Company — Verified Mobile Numbers

Phone Number Finder by Name & Company — Verified Mobile Numbers

Give a full name with the company website domain — "Jane Smith, acme.com" — and get the verified mobile number on record, with LinkedIn profile URL, job title and location. Direct dials, no switchboards. US-centric, bulk from a database, up to 20,000 per run. $12 per 1,000 found; misses are free.

Pricing

from $9.00 / 1,000 mobile number founds

Rating

0.0

(0)

Developer

B2B Enrich Search

B2B Enrich Search

Maintained by Community

Actor stats

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Bookmarked

10

Total users

7

Monthly active users

6 days ago

Last modified

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What does Name and Company to Phone Number Finder do?

Name and Company to Phone Number Finder takes a list of names with company domains and returns the verified mobile number on record for the person behind each one, together with their name, job title, current company, location and LinkedIn profile URL. It is a phone number lookup by name and company for sales, recruiting and CRM enrichment.

  • You pay only when the phone number is found. A miss, a person with no phone number on record, a removed profile and an invalid entry are free rows that say why.
  • One narrow row per entry: the phone number you asked for and just enough of the person's card to recognise them.
  • Up to 20,000 entries per run, from the form, the API or an MCP client.
  • A database lookup. Nothing is crawled while your run is in progress, and no login, cookies or API key are needed.
  • Verified mobile numbers. The numbers on record are mobile numbers that were verified when they were collected: direct dials, never a company switchboard.

What data do you get from a name and a company domain?

FieldExampleNotes
_statusfoundfound, no_phone, not_found, profile_removed, invalid, paused, error
_input{"name": "Jane Doe", "domain": "acme-example.com"}the entry as it was looked up
primaryPhone+15125550142the first mobile number on record
phones["+15125550142"]every mobile number on record
phoneCount1numbers on the row
linkedinUrlhttps://www.linkedin.com/in/jane-doe-exampleon every found row
fullNameJane Doewhen on record
jobTitle, companyVP Marketing, Acme Examplecurrent role, when on record
location, countryAustin, Texas, United States, USwhen on record
_freshnessfresh_90dfresh_90d, updated_1y, older, or unknown when the record carries no date
_matchCandidates, _matchNote2, 2 people named Jane Doe work at acme-example.com; …only when several current employees carry the name
_errora plain sentence on every row that is not found

How to find a phone number by name and company (3 steps)

  1. Paste your names with company domains, one per line.
  2. Press Start and wait for the run to finish.
  3. Export the dataset as CSV, Excel or JSON, or read it through the API.

How much does it cost to find a phone number by name?

EventPriceWhen
Phone number found$0.012 ($12 per 1,000)the row carries a phone number
Everything else$0no match, a match with no phone number on record, removed profile, invalid entry

A small per-run start fee may apply; it is shown on the Pricing tab.

Pay only for what we find

You pay only for rows that carry a phone number. Every miss is free and says why, so a test run on your own list costs only what it finds.

Input

{
"names": [
"Jane Doe, acme-example.com",
"Sam Rivera @ example.org",
"Alex Kim"
],
"companyDomain": "acme-example.com"
}

Each line is a full name, then a comma or @, then the company website domain. A line with no domain of its own uses companyDomain; with neither it is refused for free, because a name alone matches many people. One name at two companies is two lookups.

Output

A found row (charged):

{
"_status": "found",
"_input": {
"name": "Jane Doe",
"domain": "acme-example.com"
},
"_freshness": "updated_1y",
"primaryPhone": "+15125550142",
"phones": [
"+15125550142"
],
"phoneCount": 1,
"linkedinUrl": "https://www.linkedin.com/in/jane-doe-example",
"fullName": "Jane Doe",
"jobTitle": "VP Marketing",
"company": "Acme Example",
"location": "Austin, Texas, United States",
"country": "US"
}

A free row:

{
"_status": "no_phone",
"_input": {
"name": "Jane Doe",
"domain": "acme-example.com"
},
"_error": "A person matches this name at this company, but no phone number is on record for them. Not charged."
}

Phone number by name API, MCP and integrations

Run it from the Apify API, from the Apify MCP server in an AI assistant, or from Make, n8n and Zapier through their Apify connectors. The input is one array and the output is one flat row per entry, so it maps onto a spreadsheet column without reshaping.

Use cases

  • Sales and RevOps: add a phone number to a target account list you built by name and company.
  • Recruiting: call a candidate you found on a team page or in a conference programme.
  • Event and partnership teams: reach the people named in a press release or a speaker list.
  • Developers and AI agents: one call in, one flat row out.

FAQ

How do I find a phone number from a name and a company domain?

Paste the entry into the input and start the run. If it is on record for one person and that person has a phone number on record, the row comes back found with it.

What is the match rate for a phone number by name and company?

We looked up 365 US decision makers (director and above, at companies of 11 to 5,000 people) by full name and company website domain (2026-10-01). 91% matched one person, and 82 of the 365 came back with a phone number (22%), all of them US (+1) numbers. Expect less outside the US, at very large companies, and for people who are not in our database. Because a lookup with nothing to return costs nothing, a test run on your own list costs only what it finds.

Am I charged when nothing is found?

No. Every row that is not found is free, including a person who matched but has no phone number on record.

What happens when several people match one entry?

Sometimes two current employees of one company share a name. Profiles that were removed do not count. Among the rest, the row returns the first person who has a phone number on record, and says how many people carry the name: _matchCandidates is the number, _matchNote says it in a sentence. The row is charged like any other found row. To be sure you have the right person, add a job title or check the LinkedIn URL on the row.

How often: on 150 people at US companies with 1,000+ employees (2026-10-01), 8 names matched more than one profile, and in 4 of those the second profile had been removed — so about 3% of names at large companies are true namesakes. At small companies it is rarer.

Can I run name to phone in bulk?

Yes: up to 20,000 entries per run, or send them as a JSON array through the API and split larger lists into several runs.

Does it need cookies, login or an API key?

No. The Actor reads from our own database and never logs in to any network.

How fresh is the data?

Each found row carries _freshness: fresh_90d (record updated within 90 days), updated_1y, older or unknown. People change jobs and contact details; check before you rely on a row.

That depends on what you do with the result and where you and the person are. Read "Disclaimer and permitted use" below.

Use Phone Number Finder by Name & Company with AI agents and MCP

This Actor works as a tool for AI agents. Add it to Claude, ChatGPT, Cursor or any other MCP client through the Apify MCP server:

https://mcp.apify.com?tools=b2bsearch/name-to-phone
  • Fast enough for a tool call. A small request finishes in seconds, so the agent gets its answer inside one call.
  • The agent pays only for results. Prices are per result (see the pricing section above) and every miss is a free row. Cap what one call may spend with maxTotalChargeUsd.
  • Rows explain themselves. Each row has a _status; a row that is not a result says why in _error, so the agent can decide what to do next without guessing.

Input an agent can send as is:

{
"names": [
"Dharmesh Shah, hubspot.com"
]
}

The same Actor is available as a tool in LangChain, CrewAI and the OpenAI Agents SDK, and as a step in n8n, Make and Zapier through the Apify integrations.

NeedActor
Email → LinkedIn profile URLEmail to LinkedIn
Email → current company and job titleEmail to Company
Email → phone numbers on recordEmail to Phone
Email → X (Twitter) profileEmail to Twitter
Email → Facebook profileEmail to Facebook
Email → full professional profileReverse Email Lookup
LinkedIn URL → full profileProfile Lookup
LinkedIn URL → email addresses on recordLinkedIn Email Finder
LinkedIn URL → phone numbers on recordLinkedIn to Phone
X (Twitter) handle → emailTwitter to Email
X (Twitter) handle → LinkedIn profileTwitter to LinkedIn
X (Twitter) handle → phone numbers on recordTwitter to Phone
Facebook profile → emailFacebook to Email
Facebook profile → phone numbers on recordFacebook to Phone
Facebook profile → LinkedIn profileFacebook to LinkedIn
GitHub username → emailGitHub to Email
GitHub username → LinkedIn profileGitHub to LinkedIn
Name + company domain → work emailWork Email Finder
Name + company domain → LinkedIn profileName to Profile
Name + company domain → phone numbers on recordName to Phone (this Actor)
Handle on any of three networks → full profileSocial Handle Lookup
Company domain → company recordDomain to Company
Company domain → decision makersDecision Maker Finder by Domain
Company domain → current employeesCompany Employees
Company domain → former employeesFormer Employees Finder
Filters → list of peoplePeople Database Search
Filters → leads with an email, from $1.50/1kB2B Leads Finder
Filters → list of companiesCompany Database Search
CSV of emails, URLs or names → profiles in bulkBulk People Enrichment

Free Apify plan

A run started from a free Apify plan delivers the first 100 results and stops; the run's status line says so. Any paid Apify plan lifts the cap. The rows are the same rows a paid run returns.

Feedback and reviews

How did it go? A rating in the Reviews tab of this Actor tells the next buyer what to expect; we read every word, good or bad. Got a wrong or stale row? Open the Issues tab with the run ID. Issues are public, so leave out emails, phones and names; the run ID is enough for us to find the row. We check every report, fix what is ours to fix and answer in the thread.

Disclaimer and permitted use

Independent product. This Actor is an independent tool. It is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn® is a trademark of its owner and is named here only to describe the kind of public profile link this Actor returns.

No platform access. This Actor does not log in to or crawl any of these services. Every answer comes from our own database of business-contact records. It never returns passwords, direct messages, or content from accounts that are not public.

Permitted use. Business-to-business purposes only: sales prospecting, recruiting outreach, CRM enrichment, and checking that a business contact is who they say they are. You may not use this Actor or its output to:

  • stalk, harass, threaten, dox or publicly expose any person;
  • identify the person behind a pseudonymous or non-professional account;
  • decide on anyone's eligibility for credit, employment, housing or insurance. This Actor is not a consumer reporting agency and its output is not a consumer report under the U.S. Fair Credit Reporting Act;
  • send unsolicited bulk messages, or place autodialed or prerecorded calls or texts without the consent the law requires;
  • profile people by health, religion, political opinion, sexual orientation, ethnicity or union membership;
  • build or resell a contact database from the results.

Your responsibilities. You decide whom to look up and what to do with the result. You are responsible for having a lawful basis for that use and for complying with the laws that apply to you, including GDPR and UK GDPR, ePrivacy and PECR, CCPA/CPRA, CAN-SPAM, and the TCPA and Do Not Call rules. Honor every opt-out you receive. Phone numbers are returned as recorded; before you call or text a number you are responsible for the U.S. Telephone Consumer Protection Act, the National Do Not Call Registry and the equivalent rules where the person lives.

Removal requests. To have a person's data removed, open an issue on this Actor with only the profile link. Nothing else is needed, and the record is removed from every listing.

Accuracy. Records can be incomplete or out of date. Output is provided as is. Check it before you rely on it.