LinkedIn Company Scraper - public company pages, no login, no cookies ($2.80 per 1,000)

Price per 1,000 companies	Free plan	Starter	Scale	Business
This Actor	$2.80	$2.80	$2.45	$2.10
Most-used alternative	$4.00	$4.00	$3.50	$3.00

• In short: LinkedIn Company Scraper (Apify actor transparent_meteorite/linkedin-company-scraper) turns LinkedIn company page URLs, slugs, company names or website domains into clean company rows: industry, company size, employees on LinkedIn, followers, headquarters and full address, website, specialties, founded year, every office location, similar companies, affiliated pages and recent posts with likes and comments.
• Who it is for: sales and lead-generation teams enriching account lists, RevOps and CRM owners, recruiters mapping employers, investors and analysts tracking companies, marketers watching competitors.
• Input: a list of LinkedIn company URLs, slugs, company names or website domains (mix freely), posts per company, which sections to include.
• Output: one row per company, plus a free not_found row for anything we could not match.
• Price: $0.0028 per company delivered. Not-found, blocked and duplicate inputs are free. No subscription, no LinkedIn account.
• Limits: public company pages only. No people profiles, no employee lists, no emails, no company keyword search (LinkedIn does not offer that without login).

Key facts

• Actor ID: transparent_meteorite/linkedin-company-scraper
• Data source: LinkedIn's public (logged-out) company pages, the same page anyone sees without signing in
• Login, cookies or LinkedIn account needed: no
• Pricing model: pay per event (apify-actor-start $0.00005, company-scraped $0.003)
• Output formats: JSON, CSV, Excel, XML, HTML table (Apify dataset)
• Access: Apify Console, REST API, JavaScript and Python clients, schedules, webhooks, Apify MCP server
• Also known as: LinkedIn company data extractor, LinkedIn company info scraper, LinkedIn firmographics API, LinkedIn company enrichment, company domain to LinkedIn
• Last updated: 2026-10-13

Run in 30 seconds

1. Click Try for free (or Start). The input is already filled with HubSpot and Stripe.
2. Press Start. Two companies finish in about 10 seconds.
3. Open the Overview tab of the output, or export to CSV, Excel or JSON.

Swap in your own list: paste one company per line, in any of these forms.

https://www.linkedin.com/company/hubspot
stripe
openai.com
Notion

Why choose this actor

• No login, no cookies, no account risk. It reads the public company page LinkedIn shows to everyone. Your LinkedIn account is never involved.
• Cheaper than the leading LinkedIn company scrapers. $2.80 per 1,000 companies, and you pay nothing for inputs we could not find.
• Paste anything. Company URLs (any country subdomain, /about/, /posts/, /showcase/, /school/), bare slugs, company names or website domains. Domains are matched against the website listed on the LinkedIn page, so stripe.com returns Stripe, not a lookalike.
• More per row. Besides the standard company card you get every listed office address, LinkedIn's "Similar pages" (ready-made lookalike lists), affiliated and showcase pages, and up to 10 recent posts with dates, likes, comments and media.
• Name lookups pick the real company. When several pages share a name (there are two "Notion" pages), it returns the one with the most followers and lists the others in otherMatches.

Input

Field	Type	Default	What it does
companies	list of strings	HubSpot, Stripe	Company URLs, slugs, names or website domains, one per line.
startUrls	URL list	empty	Same as companies, for tools that send a URL list.
domains	list of strings	empty	Website domains to match, e.g. hubspot.com.
maxPostsPerCompany	integer 0-10	5	Recent public posts to include per company. 0 turns posts off.
includeLocations	boolean	true	Every office address on the page.
includeSimilarPages	boolean	true	LinkedIn's "Similar pages": name, URL, industry, location.
includeAffiliatedPages	boolean	true	Subsidiaries and showcase pages.
includeNotFound	boolean	true	Free row with status not_found for anything we could not match.
maxCompanies	integer	1000	Stop after this many inputs.
maxConcurrency	integer 1-10	4	Pages fetched in parallel.
proxyConfiguration	proxy	Apify Proxy	Datacenter proxy is enough. Use RESIDENTIAL only if you see sign-in-wall warnings.

Example API input:

{
  "companies": ["https://www.linkedin.com/company/hubspot", "stripe", "openai.com", "Notion"],
  "maxPostsPerCompany": 3
}

Output

Field	Example	Notes
name	Stripe	Company name
linkedinUrl	https://www.linkedin.com/company/stripe	Canonical page URL
universalName	stripe	LinkedIn slug
companyId	2135371	Numeric LinkedIn company ID, when shown
pageType	company	company, showcase or school
tagline, description		Short tagline and the full "About" text
website, websiteDomain	https://stripe.com, stripe.com	Listed website
industry	Technology, Information and Internet
companySize	5,001-10,000 employees	Size band as shown
employeeCountMin, employeeCountMax	5001, 10000	Numeric size band
employeesOnLinkedIn	16694	Members who list this employer
followers	1765821
headquarters	South San Francisco, CA
address	{street, city, region, postalCode, country}	Structured HQ address
organizationType	Privately Held
foundedYear	2010	When listed
specialties	["Payments", ...]	When listed
logoUrl, coverImageUrl		Image URLs
jobsUrl		Public job search for this company
locations, locationsCount	[{isPrimary, address, lines}]	Every listed office
similarPages	[{name, url, industry, location}]	Lookalike companies
affiliatedPages	[{name, url, industry, location}]	Subsidiaries, showcase pages
recentPosts, recentPostsCount, lastPostAt	[{postUrl, publishedAt, text, likes, comments, mediaType, imageUrls, isReshare, articleUrl}]	Latest public posts
otherMatches	[{name, linkedinUrl, followers}]	Other pages with the same name (name lookups only)
matchedBy	website, name	How a name or domain input was matched: the page lists that website, or (domain inputs) the page name equals the domain's brand when the listed website differs
input, inputType, status, scrapedAt	stripe, slug, ok	Traceability. status is ok, not_found or blocked

The dataset has three views: Overview, Firmographics for CRM, and Recent posts (one row per post).

Pricing

Event	Price	When
company-scraped	$0.0028	Once per company delivered

1,000 companies cost about $2.80. Not-found, blocked and duplicate inputs are never charged. Set Maximum cost per run in the run options and the actor stops cleanly when it is reached.

How to run

API

curl -X POST "https://api.apify.com/v2/acts/transparent_meteorite~linkedin-company-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"companies":["stripe.com","hubspot"]}'

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("transparent_meteorite/linkedin-company-scraper").call(run_input={"companies": ["stripe.com", "hubspot"]})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["name"], row["industry"], row["employeesOnLinkedIn"])

n8n, Make, Zapier and MCP

• n8n: Apify node, "Run actor and get dataset", actor transparent_meteorite/linkedin-company-scraper.
• Make: Apify module "Run an Actor", then "Get Dataset Items".
• Zapier: Apify app, action "Run Actor", then send rows to Google Sheets or your CRM.
• AI agents (MCP): add the Apify MCP server (https://mcp.apify.com) with this actor enabled, then ask, for example, "get LinkedIn industry, size and HQ for stripe.com and hubspot.com".

Limits and honest caveats

• Public company pages only. No people profiles, employee lists, emails or phone numbers. People profile URLs are skipped with a warning.
• No company keyword search. LinkedIn only offers company search to logged-in members, so this actor does not do it. Give it names or domains instead; we resolve them to pages.
• Name lookups are best effort. We try common slug patterns (notion, notionhq, notion-inc and so on) and keep exact name matches. Unusual slugs may come back not_found (free); use the URL or website domain for those.
• Fields only appear when the company lists them. Microsoft lists no founded year, Stripe lists no specialties.
• Posts: the public page shows up to 10 recent posts. For more posts, keyword search and full comments, see LinkedIn Posts Search from the same publisher.
• Counts (followers, employees) are what the public page shows at run time.

Use cases

• CRM and account enrichment. A sales or RevOps team has a list of domains and needs industry, size band, headquarters and the LinkedIn URL on every account. Paste the domains, export CSV, and map industry, employeeCountMin, employeeCountMax and headquarters to CRM fields. The "Firmographics for CRM" view is laid out for this.
• Territory and segment building. Filter the output by companySize, industry or address.country to split a list of accounts by segment before an outbound campaign.
• Lookalike lists. similarPages returns the companies LinkedIn itself groups with the one you looked up, with name, URL, industry and location. Feed those URLs back into the actor to grow a list one step outward.
• Competitor tracking. Schedule the actor weekly on a fixed set of competitors and compare followers, employeesOnLinkedIn and lastPostAt between runs to see growth and posting activity.
• Recruiting research. employeesOnLinkedIn, locations and jobsUrl show how large an employer looks on LinkedIn, where its offices are, and where its public job search lives.
• Investor and analyst screening. foundedYear, organizationType, specialties and description give a quick company card for a watch list.

Input guide

The fields are listed in the Input table above. This section covers how they behave.

• companies accepts four kinds of value in the same list, so a mixed export can be pasted as it is: a company URL, a slug, a company name, or a website domain. Each line is classified automatically and the result is reported in inputType.
• startUrls exists for tools that can only send a URL list. Its entries are treated exactly like entries in companies.
• domains is the same lookup restricted to website domains. A page is returned only when the website it lists matches the domain, or, as a fallback, when the page name equals the brand of the domain. The matchedBy field says which rule applied.
• maxPostsPerCompany ranges from 0 to 10. The public page shows at most 10 recent posts, so 10 is the real ceiling. Use 0 when posts are not needed; the row is smaller and the Recent posts view stays empty.
• includeLocations, includeSimilarPages, includeAffiliatedPages switch whole sections of the row on or off. Turning all three off gives a compact row suited to CRM import.
• includeNotFound adds a row with status not_found or blocked and the slugs that were tried (slugsTried), so a missed input can be traced instead of silently disappearing. These rows are never charged.
• maxCompanies stops the run after that many inputs, from 1 to 10,000. Use a small number for a first test on a new list.
• maxConcurrency is the number of pages fetched at once, from 1 to 10. If the log shows sign-in-wall warnings, lower it before changing anything else.
• proxyConfiguration uses Apify Proxy by default. Switch the proxy group to RESIDENTIAL only if a run reports sign-in walls for many inputs.

Worked examples

Enrich a list of domains

{
  "companies": ["stripe.com", "hubspot.com", "notion.so"],
  "maxPostsPerCompany": 0,
  "includeSimilarPages": false,
  "includeAffiliatedPages": false
}

Build a lookalike seed list

{
  "companies": ["https://www.linkedin.com/company/hubspot"],
  "maxPostsPerCompany": 0,
  "includeLocations": false,
  "includeAffiliatedPages": false,
  "includeSimilarPages": true
}

Check what a competitor is posting

{
  "companies": ["stripe"],
  "maxPostsPerCompany": 10,
  "includeLocations": false,
  "includeSimilarPages": false
}

Sample output record

An abbreviated row for a slug input. Real rows contain every field the company lists on its page; the values below are shortened.

{
  "input": "stripe",
  "inputType": "slug",
  "status": "ok",
  "name": "Stripe",
  "linkedinUrl": "https://www.linkedin.com/company/stripe",
  "universalName": "stripe",
  "pageType": "company",
  "website": "https://stripe.com",
  "websiteDomain": "stripe.com",
  "industry": "Technology, Information and Internet",
  "companySize": "5,001-10,000 employees",
  "employeeCountMin": 5001,
  "employeeCountMax": 10000,
  "employeesOnLinkedIn": 16694,
  "headquarters": "South San Francisco, CA",
  "organizationType": "Privately Held",
  "foundedYear": 2010,
  "scrapedAt": "2026-10-13T12:00:00.000Z"
}

Reading the status field

• ok means the public page was found and parsed. The row is delivered and counted for billing.
• not_found means no public page matched the input, for example a misspelled slug or a name with no matching page. The row is free.
• blocked means LinkedIn showed a sign-in wall on every attempt. The row is free. Re-run just those inputs with a lower maxConcurrency or a RESIDENTIAL proxy group.

Tips to reduce cost and runtime

• Prefer a URL or domain over a bare name. Names need several slug guesses, and a domain resolves to the page that lists that website.
• Turn off maxPostsPerCompany, similar pages and affiliated pages when only firmographics matter. Rows are smaller and downstream imports are simpler.
• Deduplicate the list before running. Duplicate inputs are not charged.
• Run a 10-company sample before a large list and check the share of not_found rows. A high share usually means names that need to be replaced by domains.
• Split very large lists into several runs of a few thousand companies, so a failed batch is cheap to repeat.

Additional questions

What does the actor do with a LinkedIn people URL? It skips it and logs a warning. Only company, showcase and school pages are supported.

Does it return employee names or emails? No. Only the company page is read, and it carries no employee list or contact details.

Which countries are supported? Company URLs on country subdomains (for example de.linkedin.com) are accepted.

What is the difference between companySize and employeesOnLinkedIn? companySize is the band the company selected, for example 5,001-10,000. employeesOnLinkedIn is the number of LinkedIn members who list the company as their employer. The two often differ.

Why are some fields empty for a company? A field is filled only when the company lists it on its page. An empty foundedYear or specialties means the page does not show one.

Can I pass several pages with the same name? For name inputs, the page with the most followers is returned and the others appear in otherMatches. Pass the exact URL to pick a specific page.

How do I load the results into a spreadsheet? Export the dataset as CSV or Excel from the Output tab, or fetch it from the dataset API in the format you need. Use JSON when you need nested lists such as locations and similarPages kept structured.

FAQ

Do I need a LinkedIn account or cookies? No. Nothing is logged in, and no account of yours is used.

Is it legal to scrape LinkedIn company pages? This actor reads only public, logged-out company pages (business information companies publish about themselves). It collects no personal profiles. You are responsible for how you use the data under your local law and LinkedIn's terms.

Why did a company come back blocked? LinkedIn sometimes shows a sign-in wall instead of the public page. The actor retries on fresh IPs; anything still blocked is free. Re-run those inputs or set the proxy group to RESIDENTIAL.

Can I find a company's LinkedIn page from its website? Yes. Put the domain (acme.com) in companies or domains. We return the page that lists that website. If none does, we fall back to the page whose name matches the domain's brand (figma.com to Figma) and mark it matchedBy: "name" so you can review it.

How fast is it? About 1-2 seconds per company at the default 4 in parallel; 1,000 companies take roughly 10 minutes.

Can I schedule it? Yes. Save a task with your list and add a schedule to track followers and new posts over time.

Support

Found a bug or need a field? Open an issue on the Issues tab with your run URL. We reply there.

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