Pricing

from $6.00 / 1,000 employee founds

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LinkedIn Company Employees Scraper ✅ NO COOKIES

Try for free

Get a company's employees as rich profiles from a LinkedIn URL or domain: work history, education, skills, certifications, badges, plus company firmographics. Filter by title, seniority, location and 557 specific job functions, not just 35 broad departments. Optional verified email. Pay per result.

Pricing

from $6.00 / 1,000 employee founds

Rating

5.0

(3)

Developer

Atomus APIs

Actor stats

Bookmarked

Total users

Monthly active users

20 hours ago

Last modified

Categories

Lead generation

Social media

Automation

🏢 Company

company

Required

The company whose employees you want. Paste its LinkedIn company URL (https://www.linkedin.com/company/) OR its website domain (example.com). LinkedIn URL is the most precise; a domain also matches subsidiaries.

Type:string

💯 Max results

maxResults

Optional

Hard cap on how many employees to return: this is your spend cap (you pay per employee returned). The run stops once it hits this or runs out of matches. LinkedIn surfaces at most a few thousand per query. ⏱️ With the email add-on on, plan on about 1 hour of run time per 5,000 employees and set the run timeout to match (Run options, Timeout). A run that reaches its timeout first keeps everything it delivered and tells you how to Resurrect it for the rest.

Type:integer

Minimum:1

Maximum:10000

Default:100

🔢 Count only (no employees pulled or charged)

countOnly

Optional

Answer how many employees of this company match these filters and stop, without pulling any. No employees are charged, and the count is the whole match total, not capped by Max results. Use it to check a filter set before paying for the real run. Limited to 50 previews per month per account.

Type:boolean

Default:false

💼 Job titles

title

Optional

Match employees whose CURRENT title contains any of these, e.g. "Software Engineer", "Account Executive". Leave empty for all titles.

Type:string[]

🎯 Title match mode

titleMatchMode

Optional

SMART = fuzzy (recommended, catches "Sr. Software Engineer"). WORD = whole words. STRICT = exact title only.

Type:string

Default:SMART

Options:

SMARTWORDSTRICT

🎖️ Seniority

seniority

Optional

Keep only these seniority levels. Leave empty for all.

Type:string[]

🗂️ Department (use this OR Job function, not both)

department

Optional

Keep only leads in these broad departments: the ENTIRE department. Use this OR "Job function", never both: measured live, Sales alone matches 28,449,940 people and Sales + Revenue Operations matches 28,449,940 too, because the function already sits inside the department. A function from a DIFFERENT department gets ADDED to your results instead (the two combine with OR), widening your search and your bill, never narrowing it.

Type:string[]

🎯 Job function (use this OR Department, not both)

jobFunction

Optional

Keep only leads in these specific job functions: pick these INSTEAD of a department when you want precision: Revenue Operations (86,195 people) rather than all of Sales (28,449,940). Every option is prefixed with its department, so typing "sales" narrows the list to the ~20 sales functions instead of scrolling all 557. Leave "Department" empty when you use this, because filling both either changes nothing or widens your results.

Type:string[]

🌍 Country

country

Optional

Keep only employees in these countries. Pick from the list: every option is a value this data source is known to accept. The six continents are at the top of the list. Leave empty for all.

Type:string[]

🏳️ State / region

state

Optional

Keep only employees in these states, provinces or regions. Combined with the country above. Pick from the list: a place the data source does not know returns no employees at all. Leave empty for all.

Type:string[]

🏙️ City

city

Optional

Keep only employees in these cities. Free text, because there is no usable list of every city. It is combined with the country and state above, so "Austin" with state "Texas" and country "United States" searches "austin, texas, united states". Spell the city out: "Austin, TX" returns zero employees, "Austin, Texas" returns thousands. Leave empty for all.

Type:string[]

🔍 Keywords

keyword

Optional

Free-text keywords matched in the employee's headline/summary/skills, e.g. "kubernetes", "payments". Leave empty to skip.

Type:string[]

📧 Find the verified work email (PAID PLANS ONLY)

findEmail

Optional

⚠️ THIS ADDS COST. When enabled, each returned employee also includes a real-time verified work email, billed as a SEPARATE paid event for every email found (on top of the per-employee charge). You are charged ONLY when an email is actually found: employees without a verifiable email are free. Needs a PAID Apify plan. On a free plan the add-on is skipped and never charged, and the run still delivers everything else in full. Leave OFF unless you specifically want emails. The lookup needs a run timeout of at least 5 minutes; a shorter run is refused before anything is started or charged. ⏱️ LARGE RUNS TAKE TIME: plan on about 1 hour per 5,000 employees with emails and set the run timeout to match (Run options, Timeout). If the run reaches its timeout first, it ends with everything found so far, charged once, and you can Resurrect it from the run page to continue exactly where it stopped. You do not have to wait on a long run: Apify can call a webhook of yours when the run finishes (Integrations tab of this actor, event Run succeeded), or you fetch the dataset later from the run page or the API.

Type:boolean

Default:false

🕰️ Locations (old field)

location

Optional

Deprecated: use "Country", "State / region" and "City" instead. Still read so that runs saved before those fields existed keep working. A value typed here is sent as-is, except that an abbreviation is spelled out first ("Austin, TX" becomes "Austin, Texas", which is the difference between zero employees and thousands).

Type:string[]

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