People Search Scraper for LinkedIn - By Job Title
Pricing
$7.00 / 1,000 person founds
People Search Scraper for LinkedIn - By Job Title
Find people on LinkedIn by job title without a company list and without a login. Searches every way a role is written, opens each profile to confirm who they are, then filters by real location, employer and seniority. Independent tool, not affiliated with LinkedIn.
Pricing
$7.00 / 1,000 person founds
Rating
0.0
(0)
Developer
Scrape Sage
Maintained by CommunityActor stats
0
Bookmarked
20
Total users
15
Monthly active users
6 days ago
Last modified
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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "LinkedIn" is referenced only to describe the publicly available website this Actor collects data from.
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: falseif you switchincludeUnverifiedon. - 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.
Automate & schedule
Run this Actor on autopilot and pull results into your own stack:
- Apify API - start runs, fetch datasets and manage schedules over REST.
- apify-client for JavaScript and apify-client for Python - official SDKs.
- Schedules - run it hourly, daily or weekly and keep your dataset current.
- Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });const run = await client.actor('scrapesage/linkedin-people-search-scraper').call({"jobTitles": ["Head of Marketing"],"expandTitleVariants": true,"locations": [],"maxPerTitle": 50,"maxResults": 100,"verifyProfiles": true,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Got ${items.length} records`);
Integrate with any app
Connect the dataset to thousands of apps - no code required:
- Make - multi-step automation scenarios.
- Zapier - push new records straight into your CRM or spreadsheet.
- Slack - get notified when a scheduled run finds something new.
- Google Drive / Sheets - auto-export every run to a spreadsheet.
- Airbyte - pipe results into your data warehouse.
- GitHub - trigger runs from commits or releases.
More scrapers from scrapesage
Related Actors in the same category:
- Twitter (X) Scraper - Tweets, Profiles & Monitor
- Instagram Hashtag Scraper - Filtered Post Search
- LinkedIn Profile Scraper - People, Job Changes & B2B Leads
- LinkedIn Ad Library Scraper - Competitor B2B Ads & Creatives
- YouTube Scraper - Channels, Videos & Creator Leads
FAQ
How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.
Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.
Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.
Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.
Is it legal to scrape LinkedIn? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See Legal and the Disclaimer below.
Is this an official LinkedIn tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from LinkedIn Corporation. See the Disclaimer below.
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.
Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.
"LinkedIn" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official LinkedIn product, is not authorised or certified by LinkedIn Corporation, and does not distribute LinkedIn software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.
Need help?
Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.