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LinkedIn Company Employees Scraper

Pricing

$2.00 / 1,000 profiles

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LinkedIn Company Employees Scraper

LinkedIn Company Employees Scraper

Find any company's employees on LinkedIn as B2B leads with name, title, location, profile URL. No login, no ban risk. $10/1k. Works in Claude & ChatGPT.

Pricing

$2.00 / 1,000 profiles

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The Mine Works

The Mine Works

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👥 LinkedIn Employees Scraper: No Cookies · $10/1k

Overview

LinkedIn Employees Scraper turns any company name into a list of employee profiles: name, headline, location, and public LinkedIn profile URL. Give it Stripe and optionally a role keyword (engineer, sales, recruiter), and get back clean JSON rows for every matching public LinkedIn profile Google has indexed. No login, no cookies, no account ban risk.

It's the fastest way to build a targeted B2B lead list of the people at a specific company, priced flat at $10 per 1,000 profiles. Use it to source candidates, prospect decision-makers, map an org, or feed AI agents that need people data.

Reliability posture: empty searches, blocked pages, and failed runs are never charged. You only pay for a profile record that was actually delivered.

✅ No login required | ✅ No cookies | ✅ $10 per 1,000 profiles | ✅ MCP-ready for AI agents

Features

Company & role search. Company name plus optional title keyword narrows to the right people. Public data only. Reads LinkedIn profiles that Google has already indexed publicly. Location extraction. Location parsed from the SERP snippet where present. Ban-resistant. No LinkedIn account, no cookies, uses the Google SERP proxy group. Simple pricing. $10 per 1,000 profiles returned, no subscription.

How it works

The actor issues site:linkedin.com/in "<company>" "<title>" queries against Google using the GOOGLE_SERP proxy group, which returns raw Google search HTML at scale. It parses the SERP for LinkedIn public profile URLs and extracts the person's name, headline, and location straight from the SERP snippet.

Because it never authenticates with LinkedIn, never touches LinkedIn's own servers, and never uses cookies, there is no ban risk on your side. Google SERP is the source of truth for what LinkedIn has chosen to expose publicly, and this actor simply reads that exposed surface at scale.

🧾 Input configuration

{
"companyName": "Stripe",
"jobTitle": "engineer",
"maxResults": 50,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["GOOGLE_SERP"]
}
}

📤 Output format

Real record delivered by a live run against companyName: "Stripe", jobTitle: "engineer" on 2026-07-15:

{
"name": "Kara M. Saaty",
"headline": "Software Engineer, Stripe",
"company": "Stripe",
"location": "San Francisco Bay Area",
"linkedin_url": "https://www.linkedin.com/in/karasaaty",
"source_query": "site:linkedin.com/in \"Stripe\" engineer",
"scraped_at": "2026-07-15T01:11:02.390Z"
}

location is included only when it's present in the Google SERP snippet; when it isn't, the field is dropped rather than sent as null.

Every employee record contains these fields:

FieldDescription
🙋 nameFull name of the employee
💼 headlineLinkedIn headline (title and company) as shown in Google SERP
📍 locationLocation parsed from the SERP snippet
🏢 companyCompany name used to search for this employee
🔗 linkedin_urlCanonical LinkedIn profile URL (https://www.linkedin.com/in/<slug>)
🔎 source_queryGoogle SERP query that returned this result
🕒 scraped_atISO timestamp when the record was captured

💼 Common use cases

Sales prospecting Build a list of engineers, sales reps, or ops leaders at any target account in minutes. Turn an ICP account list into a contactable people list without a data subscription.

Recruiting & sourcing Find every engineer at a competitor and open a direct outreach thread. Map senior IC and manager roles in a specific team across a market.

Account-based marketing Enrich named accounts with the people and titles behind each company. Discover champions and decision-makers at accounts you already own.

Competitive & talent intelligence Track hiring on the ground: who joined a competitor last quarter, in which function, at which seniority. Build an org chart proxy from public LinkedIn headlines.

🚀 Getting started

  1. Open the actor and enter a companyName (e.g. Stripe, Tata Consultancy Services).
  2. Optionally add a jobTitle keyword (engineer, sales, recruiter) to narrow results.
  3. Set maxResults to control cost.
  4. Leave GOOGLE_SERP as the proxy group.
  5. Click Start. Download as JSON, CSV, or Excel, or pull the dataset via API or MCP.

FAQ

Does it log in to LinkedIn? No. It only reads public LinkedIn profiles that Google has already indexed, using standard site:linkedin.com/in search queries through the GOOGLE_SERP proxy. It never authenticates, never uses cookies, and never touches LinkedIn's own servers.

Why the Google SERP proxy group? Google SERP proxies return raw Google search HTML reliably, which is exactly what this actor needs. Datacenter IPs hit Google's captcha or rate limits quickly, and residential proxies are slower and more expensive. Google SERP is the right tool for this job.

How much does it cost? $10 per 1,000 profiles returned, pay as you go. No subscription, no seat licence, no monthly minimum.

Can I use it in an AI agent? Yes. It's exposed as an MCP tool. See below.

Use in Claude, ChatGPT & any MCP agent

https://mcp.apify.com/?tools=themineworks/linkedin-employees

Or call it programmatically with the Apify client:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('themineworks/linkedin-employees').call({
companyName: 'Stripe',
jobTitle: 'engineer',
maxResults: 25,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Found the people. Now enrich and reach them with the full LinkedIn wedge:

Typical flow: linkedin-employees finds the people, linkedin-profile-scraper enriches each one, b2b-leads-finder adds emails and titles.

Found a bug or have a feature request? Open an issue on the actor's Apify Console page or reach out through the Apify profile.