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.
- users, last 30 days
- 1
- runs, last 30 days
- 4
- runs, all time
- 9
- users, all time
- 2
Live figures from Apify's public API, refreshed every hour.
LinkedIn Talent Mapper specifications
| Platform | |
|---|---|
| Apify actor | data-slayer/linkedin-talent-mapper |
| Price | $30.00 per 1,000 results, plus $0.05 per run start |
| Inputs | job_titlekeywordsseniorityfunctionlocationindustryand 2 more |
| Output | 11 documented fields per row |
| Export formats | JSON, CSV, Excel, XML, HTML |
| LinkedIn login or cookies | Not required |
| Integrations | Apify REST API, JavaScript and Python clients, n8n, Make, Zapier |
| Last updated | September 25, 2026 (version 1.0.4) |
Run it from code
Replace the example input with your own. You need an Apify API token, which you can create in your Apify account settings.
curl -X POST "https://api.apify.com/v2/acts/data-slayer~linkedin-talent-mapper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"max_people": 100
}'{
"schemaVersion": string,
"checkedAt": string,
"fullName": string,
"jobTitle": string,
"companyName": string,
"location": string,
"tenureYears": number,
"seniorityScore": integer,
"matchScore": integer,
"profileUrl": string,
"collectedAt": string,
}Input parameters
8 parameters you can set for each run.
| parameter | type | description |
|---|---|---|
job_title | string | Job title Target title (e.g. "Data Engineer"). |
keywords | string | Keywords Free-text keywords to match in profiles. |
seniority | array | Seniority Seniority levels (e.g. cxO, vp, director, manager, senior, entry). |
function | array | Function Job functions (e.g. Engineering, Sales, Marketing). |
location | array | Location City, region, or country. |
industry | array | Industry Employer industries. |
company_headcount | array | Company headcount Employer size bands (e.g. 51-200, 201-500). |
max_people | integer | Max people Hard cap on people returned. The main runtime and cost control. 1–500. default: 100 |
Output fields
Each result is one row with these 11 fields, taken from the scraper's dataset schema.
| field | type | description |
|---|---|---|
schemaVersion | string | Schema version |
checkedAt | string | Checked at |
fullName | string | Name |
jobTitle | string | Job title |
companyName | string | Company |
location | string | Location |
tenureYears | number | Tenure (years) |
seniorityScore | integer | Seniority score |
matchScore | integer | 0-100; seniority combined with tenure stability |
profileUrl | string | Profile URL |
collectedAt | string | Collected at |
Pricing
Pay-per-event pricing, billed through your Apify account. Where plan tiers are listed, paid Apify plans get a lower price per event.
| event | price | per 1,000, by Apify plan |
|---|---|---|
| Talent Row Charged once per talent row row written. | $0.03 each | $30.00 on every plan |
| Actor Start Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). | $0.05 per run | Charged once per run |
Questions
How much does LinkedIn Talent Mapper cost?
LinkedIn Talent Mapper uses pay-per-event pricing on Apify. The main charge is $0.03 per talent row, which is $30.00 per 1,000. Each run also has a start fee of $0.05.
Do I need to log in to LinkedIn or share cookies?
No. LinkedIn Talent Mapper works without your LinkedIn login or cookies. You only need an Apify account to run it.
Can I use LinkedIn Talent Mapper through an API?
Yes. Send a POST request to the Apify API with your input and read the results as JSON, or use Apify's official clients for JavaScript and Python. The code examples on this page are ready to copy.
What data does LinkedIn Talent Mapper return?
Each result is a structured row. Its dataset schema lists 11 fields, including schemaVersion, checkedAt, fullName, jobTitle, and companyName.
What formats can I export?
Results are stored in an Apify dataset. You can read it through the API as JSON, or download it as CSV, Excel, XML or HTML.
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