LinkedIn Profile Finder by Name & Company — $3.20/1k avatar

LinkedIn Profile Finder by Name & Company — $3.20/1k

Pricing

from $3.20 / 1,000 name resolved (summary)s

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LinkedIn Profile Finder by Name & Company — $3.20/1k

LinkedIn Profile Finder by Name & Company — $3.20/1k

Find a person’s LinkedIn profile from their full name — anchored to a company site domain for precision, or from the bare name when it is unique. Ambiguous names come back as a free row with the namesake count instead of a wrong guess. $3.20 per 1,000 resolved, 20% under the shelf. Misses are free.

Pricing

from $3.20 / 1,000 name resolved (summary)s

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Sputnik API

Sputnik API

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LinkedIn Profile Finder by Name & Company

$3.20 per 1,000 resolved names, $8 with the full 164-field document — and a namesake is a free row, never a wrong guess. The shelf's by-name Actor charges a page fee plus a per-profile fee, so one resolved name costs about $6 per 1,000 before you see whether it is even the right person.

Resolve full names to LinkedIn profiles — honestly. A name alone is not an identity: this actor never guesses between namesakes.

Two modes, picked automatically:

  1. With a company domain (companyDomain): each name is anchored to one employer, which makes even common names resolvable. "Satya Nadella" + microsoft.com finds exactly the person you meant.
  2. Bare names: a name resolves only when exactly one profile in the database carries it. Namesakes come back as a free ambiguous row that tells you how many people share the name (_nameMatchCount) — so you know to add a company domain and retry.

This is a database lookup, not a live scrape, over one billion professional profiles, with a freshness stamp on every row.

Input

{
"names": ["Satya Nadella", "Jane Doe"],
"companyDomain": "microsoft.com",
"fullOutput": false
}

What you get — 60+ fields per resolved name, 164 with fullOutput

GroupSummary card (default, $0.0032/resolved)Full document (fullOutput: true, $0.008/resolved)
Identityfull name, first/last, headline, photo, profile slugsame + background image
Current rolejob title, employer name + slug (flat columns), position dates, industry+ role descriptions, employment type, job function
Career historycurrent positionsevery past position with dates and descriptions
Education & certificationsschools, degrees, fields of study, dates; cert names, authorities+ descriptions, grades, license numbers
Skills, languages, biofull skills list, languages, "about" textsame
Location & senioritycity/state/country, experience years, tenure, decision-maker flagsame
Salary estimateinferred min–maxsame
Social linksprofessional profile URL, GitHub, Twitter/X, Facebook, websitesame
Contactsemail addresses and phone numbers when on record
Deep sectionspublications, patents, awards, projects, articles, related profiles
Honesty meta_status, _freshness, updatedAt; _nameMatchCount in bare-name modesame + per-section coverage map

Output

One row per name, _status explaining each (found / ambiguous / not_found / invalid). Resolved rows carry the profile card, _freshness, _fullData — a link to the complete document via the direct API — and flat companyName / companySlug columns when a current position is on record. In bare-name mode resolved rows also carry _nameMatchCount, and free ambiguous rows carry it too — the honest namesake count. A real resolved row:

{
"_status": "found",
"_input": { "name": "Satya Nadella", "domain": "microsoft.com" },
"_freshness": "fresh_90d",
"companyName": "Microsoft",
"companySlug": "microsoft",
"_view": "lite-v3",
"fullName": "Satya Nadella",
"headline": "Chairman and CEO at Microsoft",
"jobTitle": "Chairman and CEO",
"about": "As chairman and CEO of Microsoft, I define my mission and that of my company as empowering every person and every organization on the planet to achieve more.",
"location": { "city": "Redmond", "state": "WA", "country": "US" },
"seniority": { "totalExperienceYears": 12, "currentTenureYears": 12 },
"experience": { "work": [ { "title": "Chairman and CEO", "company": "Microsoft", "startDate": "2014-02-01", "endDate": null } ] },
"education": [ { "school": "University of Wisconsin-Milwaukee", "degreeName": "Master’s Degree", "fieldOfStudy": "Computer Science" } ]
}

(trimmed for display — the card also carries skills, languages, certifications, inferredSalary, social links and connection counts whenever the profile has them)

fullOutput: true upgrades every resolved name to the complete document — 164 fields across 37 sections, including full career history with descriptions and the contact block.

The Output tab shows three views: Overview, Career & education, and Contacts & signals.

Pricing — you only pay for resolved names

EventPriceWhen
Name resolved (summary)$0.0032exactly one profile matched, 60+ field row
Name resolved (full document)$0.008fullOutput: true, 164 fields / 37 sections
Ambiguous / unknown / invalid$0always free, with the namesake count

FAQ

Why did my name come back ambiguous? More than one real person carries it. The row tells you how many (_nameMatchCount) — add companyDomain to anchor the name to an employer and rerun.

What exactly does fullOutput add? The complete career history with role descriptions, education and certification detail, publications, awards, related profiles — and the contact block. The summary card never carries contact data.

The family

Same engine, other doors: Reverse Email Lookup (email → person), Profile Lookup (URL → profile), Work Email Finder (name + domain → email), Company Employees Finder (domain → roster), People/Company Database Search, Social Handle Lookup (dev/social handle → person), Bulk People Enrichment (CSV, 50k rows). One data core, one billing promise: misses are free.

Disclaimer

This Actor is an independent product and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. It does not access, crawl, or scrape LinkedIn at run time — answers come from our own database of publicly available professional data; "LinkedIn" is used only to describe the kind of public profile data the database covers. Removal requests are honored via the Issues tab.