LinkedIn Company Employees Scraper

LinkedIn company employees scraper with no login or cookies: type company names or LinkedIn company URLs and get the people who work there, with job title, the month their role started, place, profile URL and how each match was confirmed.

👤 Name	💼 Title	🏢 Company	📅 Role start	📍 Location	✅ Company match
Jordan W.	Account Executive	Stripe	Mar 2025	Chicago, Illinois, United States	profileCurrentJob
Anuj P.	Fraud Strategist	Stripe	Jun 2025	San Antonio, Texas, United States	profileCurrentJob
Katherine T.	VP, Global Events and Experiential Marketing	HubSpot	Sep 2021	New York City Metropolitan Area	profileCurrentJob

Price: $1.49 per 1,000 employees on Starter ($1.78 Free, $1.19 Scale, $0.79 Business). No start fee, and opening each profile is included. The prefilled run (25 people at each of 2 companies, 50 people) costs about $0.07 on Starter.

What you get

• People at the company now. Every result is read for what it says: a dated current job, or the company named as the job. A past job ("Ex-Stripe") or the company word in someone's name is left out, free.
• currentRoleStart, the month the role began. Useful for spotting new hires and tenure. On 10 test companies, 75.9% of the top rows had it (126 of 166, 2026-11-01); at 25-100 people per company it was 56-76% when Google answered, and on runs that went deep 23-59%, because rows found later show fewer dates (2026-11-02). Rows that come from Yahoo have none, so the total depends on how much Google answers, and that changes from run to run because Google limits the IPs all runs share. Three runs of Figma, Datadog and HubSpot at 100 each, under 3 minutes apart on 2026-11-02, gave 153, 142 and 62 role starts of 300: the first two after a night's rest, and on the third HubSpot had 0 and Figma 6. Rows Google gave had a role start 58-70% of the time on all three. Every run still delivers its people, and the status message names any company that came from Yahoo; for those, run them again later: 24 minutes after the third run, the prefilled run had 16 of 25 role starts at both Stripe and HubSpot.
• jobTitle. A logged-out LinkedIn profile hides job titles, so this mostly comes from what the search result shows: 36-90% of rows per company on our runs of 2026-11-02, lowest when Google didn't answer.
• companyMatch, how the company was confirmed, on every row, strongest first:

companyMatch	Meaning
companyPageLink	The current job on the opened profile links to the company URL you gave
profileCurrentJob	The opened profile names the company as a current job
datedSearchResult	The search result shows the company with a start date and "Present"
namedSearchResult	The search result names the company as the job

companyMatchEvidence holds the text behind it.

• The opened profile, included in the price: photo, exact place, country, followers, about text, company and school links with logos, education, past employers, languages, certifications and more.
• seniorityLevel and jobFunction on every row, with filters on both. searchEngine says which engine listed the person.

No LinkedIn account, cookie or login is used anywhere.

How accurate is it?

Is the person really there? On 10 companies from Microsoft to Attio, 162 of 165 accepted rows with a readable page were at the company on the member's own LinkedIn page: 98.2% (2026-11-01). That is LinkedIn's own record, not HR's: someone who left without updating LinkedIn still counts.

By name, the run keeps the company's main LinkedIn page. It learns that page from its own first rows, and nobody is charged until it is clear. A row linked only to another employer page is left out, free. Searching the word Notion, 18 lookalikes such as Notion Press were left out, and of the 93 rows with a link, 92 pointed to Notion itself (2026-11-02). The other linked to a school; a row like that is now left out free too. The run's status names the page it chose.

This also drops subsidiaries with their own page. "Amazon" leaves out Amazon Web Services and "Microsoft" leaves out Microsoft AI (15 of 600 rows on one run). A row with no company link can't be checked this way and stays: 7 of 100 for Notion. For an exact company, or a subsidiary on its own, paste its URL: only a link to that page counts. That needs the profile open, so a company URL always opens its profiles, included in the price, even with Open each profile off. That toggle applies to companies given by name.

How much of the company do you get? PostHog publishes its whole team (236 people), which makes it a fair test. Two runs through both search engines found at least 130 and 133 of them, 55-56%, counting exact name matches only (2026-11-02). Larger companies give more rows but a smaller share: 600 of 600 asked for at Microsoft, 300 of 300 at Stripe. Small companies give what the public index holds: asking for 100 each, Browserbase gave 52-54, Mintlify 46-60 and Resend 11-12 on two runs (2026-11-02). Resend is a common word: use its URL.

This is a good partial list, never a full roster. Public search shows part of a company's staff. If you need every employee, a signed-in tool goes deeper. If you need current people with titles and dates at a low price and without handing over a cookie, start here.

Name clashes. A company called Clay also finds people called Clay. Those are left out free, so a one-word common name gives fewer rows (6 of 20 kept on our test). Paste the company URL instead: the opened profile's company link then settles who works there, and the run's status tells you when a name clashed. By URL, Clay gave the 25 people asked for, all 25 linked to Clay's page, out of 916 people found (2026-11-02). Those left out are free. A word that common takes longer and most of those rows come from Yahoo, so fewer show a role start date (4 of 25 here).

How to use it

1. Type one company per line in 🏢 Companies: a name (Stripe) or a LinkedIn company URL.
2. Set 💯 Max employees per company.
3. Start. Rows arrive while the run goes; export them as CSV, Excel or JSON, or call the run through the API.

Optional: 💼 Job title and 📍 Location narrow every company, e.g. Account Executive in Dublin.

Example input

{
  "companies": ["Stripe", "https://www.linkedin.com/company/posthog"],
  "maxResults": 25
}

Example output

{
  "fullName": "Pat Lee",
  "jobTitle": "Customer Success Manager",
  "currentCompany": "Stripe",
  "currentRoleStart": "Jan 2026",
  "location": "London, England, United Kingdom",
  "profileUrl": "https://www.linkedin.com/in/pat-lee",
  "companyMatch": "profileCurrentJob",
  "companyMatchEvidence": "Stripe",
  "seniorityLevel": "Manager",
  "jobFunction": "Customer Success",
  "searchEngine": "google",
  "searchQuery": "Stripe"
}

The same row also carries photo, followers, about text, education, past positions and the other opened-profile fields; this example is made up.

Compared with other company employee Actors

The rivals: one run each on one small company, 2026-11-01, so treat these as indicative. Our column comes from our runs of 2026-11-02 at 25-100 people per company.

	Signed-in list Actor	Public-index Actors	This Actor
Your LinkedIn cookie or a hosted login	Runs on a signed-in source	No	No
Depth	2,500 per query	Tens to hundreds	Hundreds; a partial list
Job title on rows	8 of 8	1 of 10, 5 of 9	36-90%
When the role started	Tenure months, 7 of 8	None	56-73% from Google, 23-59% on deep runs, none from Yahoo
How the company was confirmed	Not on the row	Grade, or a verified flag	companyMatch on every row
First row, from run start, image already cached	5.8 s	6.0 s, about 118 s	2.7-4.9 s by name, 3.8-5.4 s by URL
First row on a fresh image	Not measured	Not measured	5.6-11.4 s by name (the image pull alone was 3-6.6 s), 7.3-7.8 s by URL

How it works

The run asks Google for profiles that show the company with "Present", walks the results to the end, then asks again with a role or a place added, because each extra phrase lists other people. A company's first few people come from Yahoo, so its first row doesn't wait for Google; those rows have no role start date. If Google goes quiet partway, Yahoo fills in beside it instead of the run waiting. If there is still room after Google it reads Yahoo again, a second source without dates, and stops once that source stops delivering, so a tiny company doesn't pay for a long read. If Google stops answering, the run moves to Yahoo and its status message says so. A person found twice is delivered and charged once.

FAQ

Do I need a LinkedIn account or cookies? No.

Can I get emails? No. This Actor returns what public profiles show.

Why do some rows have no job title? The logged-out profile hides it, and that person's search result didn't show one. The row still has the name, the company proof and the profile.

What's the run summary? The OUTPUT record lists, per company, how many results were read, how many were left out and why, and what each query added.

Related Actors

• LinkedIn People Search: people by job title, place and keywords across companies.
• LinkedIn Company Details API: the employer's website, size and headquarters.
• LinkedIn Jobs Search: the roles a company is hiring for.

Found it useful? A review on the Store helps other buyers find it.