LinkedIn Talent Mapper
Map the whole talent market, company-first. Enter role, seniority, function, location, and industry filters; the Actor returns the people who exist in that market — ranked, with title, company, tenure, and profile. No cookies, no login.
Inputs
| Field | Type | Description |
|---|---|---|
job_title |
string | Target title (e.g. “Data Engineer”). |
keywords |
string | Free-text keywords to match in profiles. |
seniority |
array | Seniority levels (e.g. cxO, vp, director, manager, senior, entry). |
function |
array | Job functions (e.g. Engineering, Sales, Marketing). |
location |
array | City, region, or country. |
industry |
array | Employer industries. |
company_headcount |
array | Employer size bands (e.g. 51-200, 201-500). |
max_people |
integer | Hard cap on people returned. The main runtime and cost control. 1–500. |
What you get
One row per person:
{
"schemaVersion": "1.0",
"checkedAt": "2026-09-25T10:00:00+00:00",
"fullName": "Example Person",
"jobTitle": "Senior Data Engineer",
"companyName": "Globex",
"location": "London, United Kingdom",
"tenureYears": 3.2,
"seniorityScore": 50,
"matchScore": 60,
"profileUrl": "https://www.linkedin.com/in/example-person",
"collectedAt": "2026-09-25T10:00:00+00:00"
}
The OUTPUT key-value-store record reports filters applied, people found and returned, and the top companies.
Pricing
$30.00 per 1,000 results (Free tier)
Actor start: $0.05 per GB
The actor is billed pay-per-result on Apify — you only pay for rows returned. See the live pricing on the Apify listing.
Runnable example
Paste this into the actor’s input (JSON) on Apify and press Start:
{
"job_title": "",
"keywords": "",
"seniority": [],
"function": [],
"location": [],
"industry": [],
"company_headcount": [],
"max_people": 100
}
Get started
Run LinkedIn Talent Mapper on Apify →
Categories
Lead Generation, Social Media, Marketing
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