Linkedin Company Employees Scraper
Pricing
$19.99/month + usage
Linkedin Company Employees Scraper
๐ข LinkedIn Company Employees Scraper extracts employees from any company page โ names, job titles, seniority, locations, profile URLs & company data. ๐ Ideal for recruitment, sales prospecting, market mapping & competitive intel. ๐ Fast, accurate, CSV/CRMโready.
Pricing
$19.99/month + usage
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Scrapium
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3 days ago
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๐ค LinkedIn Company Employees Scraper
Turn a raw list of company employees into a ranked, sales-ready lead list in one run. The LinkedIn Company Employees Scraper scrapes every public employee profile from any LinkedIn company page โ no login, no cookies โ and then pipes each profile through the AI provider of your choice โ Claude (Anthropic), ChatGPT (OpenAI), Grok (xAI), or Gemini (Google) โ to add real intelligence: seniority level, department, an ICP score (0โ100), a best-guess work email, and genuine is_creator / is_influencer / is_premium signals. No key? It runs keyless with built-in heuristics.
It is the fastest way to combine LinkedIn company employee scraping, AI lead enrichment, ICP targeting, and email finding into a single, automation-friendly pipeline for B2B prospecting, recruiting, and CRM enrichment.
Keywords covered here: LinkedIn employee scraper, AI lead enrichment, ICP scoring, LinkedIn email finder, multi-provider AI enrichment, B2B lead generation, decision-maker finder, seniority classification, department detection, sales intelligence, no-login LinkedIn scraper, CRM enrichment, prospect scoring, LinkedIn company employees, lead qualification.
โจ Why AI enrichment instead of a plain scraper?
A normal LinkedIn scraper hands you names and headlines and leaves the thinking to you. This actor does the thinking for you:
- ๐ง Real inference, not placeholders โ the base
is_creator,is_influencer, andis_premiumflags are populated by an actual model reading each headline and profile, not left as staticfalse. - ๐ฏ ICP score 0โ100 โ instantly sort thousands of employees by how strong a prospect they are.
- ๐ Seniority + department tagging โ route C-Level โ VP โ Director โ Manager leads to the right playbook.
- โ๏ธ Email guessing โ construct likely work emails from the company domain (
jane.doe@acme.com). - ๐ Never crashes without AI โ if no AI API key is supplied, it falls back to deterministic heuristic scoring so your run still completes.
๐ What data you get
| ๐งฉ Field | ๐ Description | ๐ก Example |
|---|---|---|
fullname / first_name / last_name | Employee name | "Jane Doe" |
headline | Current role / tagline | "VP of Marketing at Acme" |
profile_url | Public LinkedIn profile link | https://linkedin.com/in/janedoe |
public_identifier | LinkedIn slug | /in/janedoe |
current_company / company_url | Company association | Acme โ linkedin.com/company/acme |
location | City / country object | {"full": "Austin, Texas, US"} |
is_creator ๐ | AI-inferred content-creator signal | true |
is_influencer ๐ | AI-inferred influencer / thought-leader signal | false |
is_premium ๐ | AI-inferred premium / decision-maker signal | true |
seniorityLevel ๐ | AI seniority class | "VP" |
department ๐ | AI department class | "Marketing" |
icpScore ๐ | AI B2B fit score, 0โ100 | 88 |
emailGuess ๐ | Best-guess work email | jane.doe@acme.com |
recommendations_received | Recommendations on profile | [...] |
personal_website / other_contact_details | Off-platform contact hints | https://jane.dev |
contact_elements | Structured identity block | {...} |
Output is a superset of the base LinkedIn Company Employees scraper โ every original field is preserved, and the new AI fields are appended.
โ๏ธ Key features
- ๐ค Multi-provider AI enrichment โ cheap, fast classification of every profile with Claude (Anthropic), ChatGPT (OpenAI), Grok (xAI) or Gemini (Google), selectable via
aiProvider. - ๐งฎ Heuristic fallback โ deterministic scoring when no API key is present; the actor never fails hard.
- ๐ No-login discovery โ finds employees from public company pages + Google, no LinkedIn credentials.
- ๐งฉ Bulk mode โ pass many company URLs or keywords in one run.
- ๐ก๏ธ Smart proxy strategy โ Apify Residential (US) by default, with graceful direct-request fallback.
- ๐ Automation-ready โ plug into n8n, Make.com, Zapier, Clay, or your CRM via the Apify API.
- ๐พ Clean exports โ JSON, CSV, Excel; a pre-built dataset view shows seniority, department, ICP score and email at a glance.
๐ช How to use it (step by step)
- ๐ Log in to Apify โ free account works.
- ๐ข Add targets โ paste LinkedIn company URLs (e.g.
https://linkedin.com/company/acme) or plain company keywords intourls. - ๐ฅ Set
max_employeesโ how many people to pull and enrich per target. - ๐ค Pick your AI provider in
aiProvider(claude,openai,grokorgemini), add youraiApiKey, and optionally setaiModel. LeaveaiApiKeyempty to run keyless in heuristic mode. - ๐ Set
companyDomain(e.g.acme.com) soemailGuesscan be built. - ๐ Run โ results stream into the dataset as each profile is scored.
- ๐พ Export โ download CSV/JSON/Excel or pull via API.
๐ฏ Use cases
| ๐ผ Use case | ๐ How the AI fields help |
|---|---|
| B2B lead generation | Sort by icpScore to work the hottest prospects first |
| Account-based marketing (ABM) | Filter seniorityLevel = C-Level / VP for decision-maker outreach |
| Sales prospecting | Use emailGuess + department to personalize cold email |
| Recruiting | Target department = Engineering, filter by seniority |
| CRM enrichment | Append seniority, department and ICP score to existing contacts |
| Market & competitor research | Map a competitor's org by department and seniority mix |
๐งฉ Example input
{"urls": ["https://www.linkedin.com/company/acme"],"max_employees": 25,"aiProvider": "claude","aiApiKey": "sk-...","aiModel": "claude-haiku-4-5-20251001","companyDomain": "acme.com","proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"],"apifyProxyCountry": "US"}}
๐ฆ Example output
[{"company_url": "https://www.linkedin.com/company/acme","profile_url": "https://www.linkedin.com/in/janedoe","fullname": "Jane Doe","first_name": "Jane","last_name": "Doe","headline": "VP of Marketing at Acme | Keynote Speaker","public_identifier": "/in/janedoe","profile_picture_url": "https://media.licdn.com/...","location": { "country": "United States", "city": "Austin", "full": "Austin, Texas, United States", "country_code": "US" },"is_creator": true,"is_influencer": true,"is_premium": true,"created_timestamp": 1751328000,"show_follower_count": true,"current_company": "Acme","companies_detected": [{ "name": "Acme", "slug": "acme", "url": "https://www.linkedin.com/company/acme" }],"personal_website": "https://jane.dev","recommendations_received": [],"other_contact_details": { "personal_website": "https://jane.dev" },"contact_elements": { "profile_identity": { "profile_name_display": "Jane Doe" } },"seniorityLevel": "VP","department": "Marketing","icpScore": 88,"emailGuess": "jane.doe@acme.com"}]
โ FAQ
1๏ธโฃ Do I need an AI API key? No โ but it's recommended. With a key, your selected provider (Claude, ChatGPT, Grok or Gemini) does the classification. Without one, the actor runs keyless with built-in heuristic scoring so runs still finish.
2๏ธโฃ Which model does it use?
Whatever you set in aiModel for your chosen aiProvider โ e.g. claude-haiku-4-5-20251001 (Claude), gpt-4o-mini (OpenAI), grok-2 (xAI) or gemini-2.0-flash (Google). Each default is a low-cost, fast model ideal for per-profile classification.
3๏ธโฃ How is icpScore calculated?
The AI model weighs seniority, department, activity signals and profile completeness into a single 0โ100 fit score. In heuristic mode a transparent rule-based formula is used.
4๏ธโฃ Are the emails verified?
emailGuess is a pattern-based best guess (first.last@domain) โ great for enrichment and verification pipelines, not a guarantee of deliverability.
5๏ธโฃ Does it need a LinkedIn login? No. It only reads publicly visible information โ no cookies, no credentials, account-safe.
6๏ธโฃ Can I run many companies at once?
Yes. Add multiple URLs or keywords to urls for bulk enrichment.
7๏ธโฃ Does it work with n8n / Make / Zapier / Clay? Yes โ call it via the Apify API and stream enriched leads straight into your automation or CRM.
โ๏ธ Compliance
This actor collects only publicly available profile information and is intended for research, recruiting, and legitimate B2B outreach. Respect LinkedIn's terms, GDPR/CCPA, and applicable data-protection laws. Do not use guessed emails for spam.
๐ Related tools
| LinkedIn Company Employees Scraper | LinkedIn Company Profile Scraper |
|---|---|
| LinkedIn Profile Scraper | LinkedIn Search Jobs Scraper |
๐ Start scoring your LinkedIn leads with AI today โ cleaner lists, faster outreach, higher conversion.