LinkedIn Company Employees Scraper

ABM and decision-maker mapping at scale: find employees of any company on LinkedIn by name or URL — name, headline, profile URL, current position. No LinkedIn account, no Sales Navigator, no $50K ZoomInfo contract.

What you get

A fast way to build a list of current employees at any target account. Give it a company name, a LinkedIn company URL, or a phrase like "employees at Stripe", and get back public LinkedIn profiles with their names, headlines, profile URLs, and current positions. This is the load-bearing primitive for ABM, outbound sales, recruiting, and competitive team mapping.

Find decision-makers at any company on LinkedIn

ABM and outbound teams pay $5K–$50K/year to ZoomInfo, Apollo, or Cognism for exactly this data: "give me every VP/Director/Head-of at this list of 200 accounts." This actor does the same job from public LinkedIn data at a flat per-result rate — no seat license, no annual contract, no LinkedIn account required. Feed it a list of company names or LinkedIn company URLs (one per row), get back every public employee profile, then filter on headline for titles like "VP Engineering", "Head of Sales", "Director of Marketing" to isolate decision-makers.

LinkedIn lead generation without Sales Navigator

Sales Navigator costs ~$99/seat/month, caps profile views per day, and ties prospect lists to a personal LinkedIn account. This actor decouples prospect-list building from any individual LinkedIn login — the same input (company → employees) without the seat license or account-ban risk. Pair with the LinkedIn Profile Scraper to enrich each returned profile with full work history, education, and location for downstream sequencing.

Output fields

Field	Description
fullName	Employee's full name
headline	Professional headline
url	LinkedIn profile URL
experience	Current position (array of objects with position)

Example output

{
    "fullName": "John Smith",
    "headline": "Software Engineer at Google",
    "url": "https://www.linkedin.com/in/johnsmith/",
    "experience": [
        {"position": "Software Engineer"}
    ]
}

Input parameters

Parameter	Required	Description
queries	Yes	Company name, LinkedIn company URL, or "employees at {company}" phrase. Examples: "Google", "employees at Stripe", "https://www.linkedin.com/company/anthropic/".
maxResults	No	Maximum number of employee profiles to return per query. Default 10.
proxyConfiguration	No	Apify proxy settings. Leave default for best results.

Use cases

• ABM teams: List every decision-maker at the 200 named accounts you're targeting — feed company URLs in, filter the output by headline for VPs/Directors/Heads, ship straight to 6sense / Demandbase / HubSpot.
• SDR / outbound sales: Build a 5K-prospect list of "Heads of Engineering at fintech Series B+ companies" in one run — pair with company-list sources (Crunchbase exports, segment lists) and run this actor across them.
• RevOps / Marketing Ops: Refresh CRM contact rosters at named accounts on a schedule — track who joined, who left, who got promoted.
• Recruiters: Map team composition at a competitor, find sourcing candidates by function/title, build talent pipelines for specific orgs.
• Investors and analysts: Profile portfolio or target companies' engineering and leadership teams; track headcount growth as a portfolio-monitoring signal.
• Competitive research: Track headcount growth and team structure at specific companies over time.

Limitations

• Returns only profiles that appear in public search results — not an exhaustive company org chart.
• Full employment history, skills, and education are not returned — pair with the LinkedIn Profile Scraper to enrich individual profiles.
• Very common company names (e.g., "Google" alone) can include some false positives; prefer the LinkedIn company URL or "employees at {company}" phrasing for precision.

Compared to alternatives

• vs. ZoomInfo / Apollo.io / Cognism / Lusha: Those tools charge $5K–$50K/year for ABM-grade contact databases. This actor returns the same "every employee at this account" data live from public LinkedIn at a flat per-result rate, with raw JSON output you control.
• vs. LinkedIn Sales Navigator: Sales Navigator requires a paid LinkedIn seat (~$99/month), enforces strict daily search/view limits, and ties your prospect list to one personal account. This actor works from plain public data with no seat or account.
• vs. other LinkedIn scrapers on Apify Store: Most competing LinkedIn people-scrapers require cookies, session tokens, or paid LinkedIn accounts. This actor needs only a company name or company URL.

Pairs well with LinkedIn Profile Scraper (deep-enrich the profiles this actor returns) and Career Sites Scraper (cross-reference open roles at target companies).

FAQ

Do I need a LinkedIn account or cookies? No. Only a company name or URL.

How precise is the company match? Use the LinkedIn company URL for highest precision. Plain company names work for well-known brands but can include noise for generic names.

How many employees can I get per company? Up to 500 per query via maxResults. Practical ceilings depend on how many employees appear in public search results.

How fresh is the data? Pulled live at run time.

Last verified: 2026-05

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