People Search Scraper for LinkedIn - By Job Title

Tell it a job title, get the people who hold it. No company list, no login, no cookies. Every person is looked up on their own public profile before you get them, and the location, employer and seniority filters run on that profile - not on the search text.

The two things that make this work

1. One role is written four different ways, so it searches all of them. Ask for "Head of Marketing" and it also looks for VP Marketing, Marketing Director and CMO. That is where the volume comes from: a single phrasing returns roughly 20 people, and eight variants returned 113 unique people in testing, with almost no overlap between them. Turn expandTitleVariants off if you want one exact wording.

2. Location is a filter, not a search term. This matters more than it sounds. Putting a city into the search query looks sensible and produces junk - measured at 6% on-target (a "Mayor of London" matches a search for growth leaders in London), because the city word matches company addresses, office lists and page furniture. So this actor searches the title only (83% on-target), opens each profile, and then keeps the people whose own profile says they are where you asked.

Input

Field	What it does
jobTitles	The roles you want. Common titles work best.
expandTitleVariants	Also search equivalent phrasings of the same role (default on)
extraKeywords	Optional context words like "SaaS" or "fintech" - more reach, less precision
locations	Keep only people whose profile says they are there
companies	Keep only people at these employers
seniorityLevels	Owner/C-Level, VP/Director, Manager, Senior, Individual Contributor, Entry
verifyProfiles	Open each profile to confirm identity and collect the filter fields (default on)
includeUnverified	Also return people whose public profile is switched off
maxPerTitle / maxResults	Cap per title, and the total

Output

{
  "type": "person",
  "fullName": "Benjamin Braun",
  "firstName": "Benjamin",
  "lastName": "Braun",
  "jobTitle": "Chief Marketing Officer",
  "seniorityLevel": "Owner/C-Level",
  "department": "Executive",
  "currentCompany": "Samsung Electronics",
  "currentCompanyUrl": "https://www.linkedin.com/company/samsung-electronics",
  "headline": "CMO Samsung Europe",
  "profileUrl": "https://www.linkedin.com/in/benjaminbraun",
  "locationName": "London, England, United Kingdom",
  "city": "London",
  "country": "United Kingdom",
  "followerCount": 12480,
  "connectionCountText": "500+",
  "education": "INSEAD",
  "searchedTitle": "Head of Marketing",
  "matchedVariant": "Chief Marketing Officer",
  "titleMatchesSearch": true,
  "publicProfileAvailable": true,
  "leadScore": 84,
  "scrapedAt": "2026-08-07T06:20:00.000Z"
}

matchedVariant tells you which phrasing found the person and titleMatchesSearch says whether their real title actually matches what you asked for - so you can keep only the exact hits, or keep the wider net, without guessing.

What this actor is NOT

Honesty about depth, because it decides whether this is the right tool:

• It is a targeted search, not a database dump. Expect tens of people per title, not thousands. Depth at source is limited: extra result pages return nothing new, which is why title variants rather than pagination supply the volume.
• If you already know the companies, use the other one. Company Employees Scraper for LinkedIn is the better tool when you have an account list and want everyone inside those companies - it anchors on the company and goes far deeper per company than a title search can.
• Some members switch their public profile off. Their profile answers 999 to every logged-out request, permanently. They are dropped by default, or returned with publicProfileAvailable: false if you switch includeUnverified on.
• Job titles are not always public. LinkedIn publishes a title to logged-out visitors only when the member's headline is public - a title-anchored search naturally favours those people, which is why title coverage here is high, but it is not universal.
• Never returned: private profiles, connection graphs, email addresses or phone numbers.

Pricing

Pay-per-event: $0.005 per person. Runs that find nobody charge nothing, and every finished run tells you what to change.

Use with AI assistants (MCP)

Works as a tool in any MCP-compatible assistant through the Apify MCP server - ask your agent to "find heads of marketing in the UK" and it can call this actor directly.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

Legal

This actor reads only what LinkedIn publishes to logged-out visitors. It does not log in, use cookies or session tokens, or reach private profiles. Names, roles and employers are business contact information, but they relate to identifiable people: if you are in the EU or UK you are the data controller for what you do with the output, so have a lawful basis (usually legitimate interest for B2B prospecting) and honour deletion requests. Do not use this output for spam.

This actor is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn is a trademark of LinkedIn Corporation.