LinkedIn Company Scraper 💰$1/1K – Bulk Profiles, No Cookies

LinkedIn Company Scraper – bulk company profiles by URL, name or domain, no cookies · $1 per 1,000 companies

A LinkedIn company data scraper and company enrichment tool: one clean row per company, in bulk, ready for your CRM or lead list.

Get LinkedIn company data without login, cookies or account: website, industry, company size, employees on LinkedIn, followers, headquarters with full address, company type, founded year, specialties, every office location, similar and affiliated pages, and the latest posts shown on the public page (usually about 10), with author, exact date, likes, comments, repost and video flags.

Paste LinkedIn URLs, company names or website domains — the actor finds the right LinkedIn page for you. Ideal for lead enrichment, CRM cleanup and market mapping.

$1 per 1,000 companies — about 4× cheaper than the most popular LinkedIn company scraper, with name and domain lookup included at the same price.

What you can put in

Input	Example	How it is matched
LinkedIn company URL (any country subdomain)	https://fr.linkedin.com/company/stripe/	Direct
Showcase page	https://www.linkedin.com/showcase/microsoft-azure/	Direct
Page name	notionhq	Direct
Company ID	2135371	LinkedIn ID → page
Company name	Société Générale, Ernst & Young	LinkedIn's own company suggestions (exact name first)
Website domain	stripe.com, bbc.co.uk, zalando.de	Compares the website listed on each candidate LinkedIn page with your domain

Mix them in one run. Duplicates (the same company entered twice) are returned once.

🔭 Discovery mode — find more companies

Turn on Discover similar companies and the actor follows LinkedIn's Similar pages from your companies, then from the companies it finds, level by level:

• 1 company → 138 companies in 3 levels (HubSpot → software, IT services, fintech…), in about 2 minutes.
• Filter on the fly with Keep industries containing (e.g. Software, Banking) and Keep locations containing (e.g. Paris, Germany) — filters are checked before a page is opened, so you only pay for companies you keep.
• Each discovered company has discoveredFrom and discoveryDepth.

Example: start from doctolib, alan, qonto, back-market with location Paris, France → Pennylane, Swile, Mistral, Payfit, Mirakl, Spendesk, Pigment, ManoMano, Lucca…

Output example

{
  "type": "company",
  "name": "Stripe",
  "url": "https://www.linkedin.com/company/stripe/",
  "companyId": "2135371",
  "tagline": "Help increase the GDP of the internet.",
  "description": "Stripe builds programmable financial services…",
  "website": "https://stripe.com",
  "industry": "Technology, Information and Internet",
  "companySize": "5,001-10,000 employees",
  "employeesOnLinkedIn": 16694,
  "followers": 1799249,
  "headquarters": "South San Francisco, California",
  "address": { "street": "354 Oyster Point Blvd", "city": "South San Francisco", "region": "California", "postalCode": "94080", "country": "US" },
  "companyType": "Privately Held",
  "founded": 2010,
  "specialties": [],
  "jobsUrl": "https://www.linkedin.com/jobs/search?f_C=2135371",
  "logoUrl": "https://media.licdn.com/…",
  "locations": [{ "isPrimary": true, "address": "354 Oyster Point Blvd, South San Francisco, California 94080, US" }],
  "similarPages": [{ "name": "Atlassian", "industry": "Software Development", "location": "Sydney, NSW", "url": "https://www.linkedin.com/company/atlassian/" }],
  "affiliatedPages": [{ "name": "Stripe Partner Ecosystem", "industry": "Internet Publishing", "url": "https://www.linkedin.com/showcase/…" }],
  "recentPosts": [{ "url": "https://www.linkedin.com/posts/…", "date": "2026-10-30T16:02:11.000Z", "text": "…", "likes": 370, "comments": 25, "author": "Stripe", "authorUrl": "https://www.linkedin.com/company/stripe", "isRepost": false, "originalDate": null, "hasVideo": false }],
  "input": "stripe.com",
  "matchedBy": "domain",
  "matchConfidence": "exact"
}

matchConfidence (domain inputs only): exact = the LinkedIn page lists exactly your domain; confirmed-by-website = same brand on another site, and your domain's website links to this LinkedIn page; brand-name-large-company = a company of 1,000+ employees with the brand's exact name (e.g. tesco.com → Tesco, which lists tescoplc.com); website-link = found through the LinkedIn link on your domain's website. A smaller company that only shares the brand name is not returned (it is often a namesake in another country): the warning gives its address so you can check it. Export to JSON, CSV or Excel, or connect to Google Sheets, HubSpot, Make, n8n, Zapier and AI agents.

Pricing

$1 per 1,000 companies (pay per event, cheaper on higher Apify plans). Name, ID and domain lookups are included. Recent posts, locations and similar pages cost nothing extra. Companies that are not found are free.

Real runs — 1 November 2026

Job	Result	Run time	Price at $1/1K
Volume: 561 real company pages	548 companies saved + 13 duplicates detected = 100%, 0 login walls	8 min	$0.55
Hard cases in one run: 20 website domains (bbc.co.uk, zalando.de, notion.so, amazon.co.uk, carrefour.fr…), 15 company names (Apple, Delta, Mercury, Société Générale, Nestlé, L'Oréal, Ernst & Young → EY…) and 9 URL variants	36 companies; 6 free warnings, all justified (made-up name and domain, people/school URLs, a page that does not exist, orangemaroc.ma)	2 min 17 s	$0.036
Discovery from 1 company (HubSpot), 3 levels	138 companies (software, IT services, fintech…)	2 min	$0.14

Field coverage on the first 176 companies of the volume test: followers 100%, industry 99%, company size 99%, employees on LinkedIn 98%, website 96%, description 98%, address 92%, headquarters 89%, founded year 47% (only when the company filled it).

Price compared with other LinkedIn company Actors — 31 October 2026

Actor	Monthly users (31 Oct)	Listed price per 1,000 companies
harvestapi/linkedin-company	7,791	$4.00
apimaestro/linkedin-company-detail	524	$5.00
automation-lab/linkedin-company-scraper	246	$3.45 (+ start fee)
bestscrapers/linkedin-company-scraper	116	$8.00 per processing
datadoping/linkedin-company-scraper	111	$1.55
pratikdani/linkedin-company-profile-scraper	109	$5.00
This Actor	new	$1.00, name & domain lookup, posts, locations and similar pages included

Who this is not for

• You need the list of employees or people profiles. They require a LinkedIn login; this Actor never logs in.
• You need to search companies by criteria (industry + city + size) the way LinkedIn search does. That needs a login; use discovery mode from a few seed companies instead.
• You need school pages. Company and showcase pages only.
• You need funding data. LinkedIn no longer shows it on public company pages.
• You need the number of open jobs. The public "open jobs" figure counts every job that mentions the company name (e.g. 700,000+ for Microsoft), so it is not returned; you get jobsUrl with the company's real job search instead.

What's new

• 8 November 2026 — Fewer wrong matches for website domains: a LinkedIn page that only shares the brand name is kept only if the domain's website links to it or the company has 1,000+ employees. On 200 test domains, 19 namesakes (e.g. tabasco.com → a Ukrainian company) are no longer returned.
• 1 November 2026 — Discovery mode (follow similar pages with industry and location filters checked before opening a page).
• 1 November 2026 — Domain matching by score: exact website, then brand name, then same brand on another extension, then subdomain — so amazon.co.uk finds Amazon (not AWS) and carrefour.fr finds Carrefour (not a country subsidiary). Company IDs and numeric company URLs resolved through LinkedIn's public job search (worldwide).
• 1 November 2026 — Bounded page cache (memory stays low on runs of hundreds of companies).
• 1 November 2026 — First release.

Use cases

• Lead enrichment: turn a list of domains or company names into industry, size, headcount, HQ and LinkedIn URL.
• CRM cleanup: fill missing firmographics and LinkedIn links for accounts.
• Market mapping: start from a few companies and let discovery mode follow their similar pages to map a whole sector or find competitors.
• Account monitoring: track followers, headcount on LinkedIn and recent posts of target accounts over time.
• Recruiting and sales intelligence: find the LinkedIn page and jobs link of every company on a list.

🤖 For AI Agents & LLM Apps

• What the tool does: returns LinkedIn company page data for URLs, names, IDs or website domains; optional discovery of similar companies.
• Minimal input: {"companies": ["stripe.com", "Notion", "https://www.linkedin.com/company/apify/"]}.
• Enrichment: pass website domains and read matchConfidence (exact > confirmed-by-website > brand-name-large-company > website-link).
• Discovery: discoverSimilar: true, maxDiscovered, discoveryDepth, industryFilter, locationFilter.
• Output contract: one object per company with type: "company"; warning rows (not found, unsupported URL) are free.
• Cost guard: companies × $0.001 (free plan); maxDiscovered bounds discovery.

Use with AI agents (MCP)

Call this actor from Claude, ChatGPT, Cursor or any MCP client through the Apify MCP server (https://mcp.apify.com) with the actor ID rt-solutions/linkedin-company-scraper. Example request: "Enrich stripe.com, notion.so and figma.com with their LinkedIn industry, employee count and headquarters." It also works through the Apify API, Make, n8n and Zapier.

FAQ

How do I scrape LinkedIn company pages without logging in? Paste URLs, names or domains and run. The actor reads the public company pages LinkedIn shows to anyone — no account, cookies or browser extension.

How much does it cost to enrich 10,000 companies? $10 at $1 per 1,000 companies, lookups included.

Can I find a company's LinkedIn page from its website? Yes — enter the domain (stripe.com). The actor checks the candidate pages and compares the website each one lists with your domain, and tells you how confident the match is.

Why is website, founded or specialties empty? The company did not fill that field on LinkedIn.

Can it search companies by industry or location? Not through LinkedIn search (that needs a login). Use discovery mode: start from a few companies of the sector and filter by industry and location.

Can I get the list of employees? No. Employee lists require a LinkedIn login, and this actor never logs in. You get the employee count on LinkedIn and the company size range.

Does it work for schools or personal profiles? No — company and showcase pages only.

Is it legal to scrape LinkedIn company pages? The actor only reads public company pages that anyone can open without an account and collects business information, not private data. Use the data responsibly and in line with the laws that apply to you (e.g. GDPR).

Limits

• A domain is matched through the website the company lists on LinkedIn; groups whose LinkedIn page lists another site are matched when your domain's website links to that page, or on the exact brand name for companies of 1,000+ employees (see matchConfidence).
• Website domains are matched through LinkedIn's suggestions, then an exact address check, then the LinkedIn link shown on the company's own website (matchedBy: website-link, kept only when that LinkedIn page lists the same website or the same brand name; links to unrelated pages such as the website builder's are ignored). On 200 random domains on 8 November 2026, 86 were matched, with namesakes excluded. Domains with no match are free.
• Recent posts are the ones LinkedIn shows on the public page: usually about 10, sometimes none (Deloitte and Buffer showed none on 7 November 2026). There is no full post history.

Run health

• 1 November 2026: volume run 561 inputs → 548 companies + 13 duplicates (100%), 0 failed runs; hard-case grid 36 OK / 6 free warnings, all justified.

Your feedback

Wrong match or missing field? Open an issue in the Issues tab — we answer fast and ship fixes (see "What's new"). If the Actor saved you time, a short review helps other sales and data teams find it.

Related scrapers

• LinkedIn Jobs Scraper
• Website Contact & Email Extractor
• Google Maps Scraper – Business Leads

Support

Missing a field or a wrong match? Open an issue on the actor page — we answer fast.