LinkedIn Company Scraper: No Login, Details, $3/1K Companies

Turn public LinkedIn company pages into clean JSON rows. Paste company page URLs or bare slugs and get one row per company: name, tagline, description, website, industry, company size, the number of LinkedIn members who list the company, headquarters with the address by parts, company type, founded year, specialties, followers, logo and office locations.

It reads the same public company page LinkedIn serves to a visitor who is not logged in, over plain HTTP with no page rendering, no LinkedIn account and no cookies, at a fixed pace. Employees, people and their profiles are not read.

What you get

One row per company:

{
  "url": "https://www.linkedin.com/company/microsoft/",
  "slug": "microsoft",
  "companyId": "1035",
  "name": "Microsoft",
  "tagline": "Every company has a mission. What's ours? To empower every person and every organization to achieve more.",
  "description": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. ...",
  "website": "https://news.microsoft.com/",
  "industry": "Software Development",
  "companySize": "10,001+ employees",
  "employeeCountOnLinkedIn": 231133,
  "headquarters": "Redmond, Washington",
  "address": { "street": "1 Microsoft Way", "city": "Redmond", "region": "Washington", "postalCode": "98052", "country": "US" },
  "companyType": "Public Company",
  "foundedYear": null,
  "specialties": ["Business Software", "Developer Tools", "Home & Educational Software", "Tablets", "Search", "Advertising", "Servers", "Windows Operating System", "Windows Applications & Platforms", "Smartphones", "Cloud Computing", "Quantum Computing", "Future of Work", "Productivity", "AI", "Artificial Intelligence", "Machine Learning", "Laptops", "Mixed Reality", "Virtual Reality", "Gaming", "Developers", "IT Professional"],
  "followers": 29389958,
  "logoUrl": "https://media.licdn.com/dms/image/v2/.../company-logo_200_200/...",
  "locations": ["1 Microsoft Way, Redmond, Washington 98052, US", "..."],
  "inputUrl": "https://www.linkedin.com/company/microsoft/",
  "error": null,
  "scrapedAt": "2026-10-28T06:00:00.000Z"
}

A field LinkedIn does not show on the public page is null. In our test set of 36 company pages the industry, size, type and followers were shown on all 36, the website and headquarters on 35, specialties on 29 and the founded year on 20. employeeCountOnLinkedIn is the number of LinkedIn members who list the company as their employer, as LinkedIn states it, not the company's headcount.

A page LinkedIn does not serve (unknown slug, or a page it hides from visitors) gives a free row with inputUrl, error and all other fields null. It is not charged.

Input

Field	Type	Description
companies	string[]	LinkedIn company page URLs (linkedin.com/company/<slug>/) or bare slugs such as microsoft, one per line. Showcase pages (linkedin.com/showcase/<slug>/) work too.
includeLocations	boolean	Default true: the office locations LinkedIn lists on the public page, as text lines. false leaves locations null.
proxyConfiguration	object	Defaults to Apify datacenter proxies, which is the supported configuration. Residential proxies work too.

Example:

{
  "companies": [
    "https://www.linkedin.com/company/microsoft/",
    "https://www.linkedin.com/company/apify/",
    "vercel"
  ],
  "includeLocations": true
}

The company page URL is exactly what our LinkedIn Jobs Scraper puts into companyUrl, so the two Actors chain: search jobs, collect the employers, then read the employers here.

How to use it

1. Click Try for free or Start on this page.
2. Paste company page URLs or slugs, one per line.
3. Run it. Companies land in the dataset as one row each. Export them as JSON, CSV or Excel, or pull them over the API.

To call it from code, use the Apify API or an official client. AI agents can call it through the Apify MCP server: the description and the input fields above are written to be read by an agent.

Pricing

Pay-per-event, one event, nothing else:

Event	Rate
company-scraped	$3 per 1,000 ($0.003 each), one per company row
Free error row	free, a page LinkedIn did not serve
Run start	free, there is no start event

What you get for $1: 333 companies. Platform usage (compute, proxy) is charged to us, not to you, so the per-row price is the whole bill. A list of 500 employers costs $1.50 with no per-run surcharge. Rates are as of the last README update. The Store page stays authoritative.

Limits (honest)

• Only what LinkedIn shows a logged-out visitor. The Actor reads the public company page. It does not log in, so it never sees anything that needs an account: no employee lists, no people, no profiles, no contact details. employeeCountOnLinkedIn is a counter from the page.
• Fields vary by company. Some companies show only a few About fields (Amazon's public page, for example, shows industry and size but no website, headquarters or founded year). Where LinkedIn shows nothing, the field is null. The Actor never guesses.
• Pages by URL or slug only. There is no search by company name: LinkedIn offers no public company search to a visitor, and the search engines we tested answer automated queries with challenges. Take the URL from the company's LinkedIn page, or from the companyUrl field of our LinkedIn Jobs Scraper.
• Renamed, merged and showcase pages. LinkedIn may redirect a slug to another page (a renamed company, a merged one, or a showcase page under /showcase/). The row then describes the page LinkedIn ended up on: url and slug are the final page, inputUrl is what you asked for.
• Description and specialties come as plain text. The About text keeps its paragraphs; specialties are split on commas as LinkedIn lists them.
• No login, no captcha solving. If LinkedIn refuses a request, the Actor waits, switches to a fresh proxy session and retries. It fails honestly rather than fabricate data.
• If more than 5% of requests in a run fail, the run log says so loudly. A run in which every fetch failed is marked failed, not "succeeded with 0 items". A run whose input holds no LinkedIn company URL or slug still succeeds, with an empty dataset and an empty bill.

Rate-limit etiquette (built in, with numbers)

• One request every 2 seconds, about 30 per minute. One company is one request, so 100 companies take about 4 minutes.
• On an HTTP 429 or 999 the Actor waits 15 seconds (then 30, then 45), switches to a fresh proxy session and retries, at most 3 times. On any other transient refusal it backs off (3 s, then 6 s, then 9 s) and retries the same way.
• If five requests in a row fail after all retries, the run stops instead of grinding through the rest of the list.
• The default run timeout is one hour, enough for about 1,500 companies in one run. For bigger lists raise the timeout or split the input across runs.

FAQ

Do I need a LinkedIn account, cookies or an API key? No. The Actor reads only publicly available pages as a logged-out visitor, never logs in, and does not use anyone's credentials.

Can I get the employees of a company? No. The Actor reads company pages only. It does not open people's profiles, employee lists or contact details, and it has no option to do so.

Why is foundedYear (or website) null for some companies? Because LinkedIn shows these About fields only for companies that filled them in. The Actor saves them when they are on the page and null when they are not.

Can I look a company up by name? Not in this version. Give the company page URL or slug. If you are coming from a job search, the companyUrl field of our LinkedIn Jobs Scraper is the input you need.

Does it use a browser? No. Pages are fetched over plain HTTP and read straight from the HTML LinkedIn serves, with no rendering.

Where is my data stored? In your run's dataset on your Apify account, under your control. The Actor keeps no copy of scraped data outside your run and sends nothing to any third party.

Legal

This is an unofficial scraper. It is not affiliated with, endorsed by, or connected to LinkedIn Corporation or Microsoft in any way. It reads only data that LinkedIn serves publicly to any logged-out visitor: no login, no credentials, no captcha solving. Website terms of service are a contractual matter between a website and its visitors, not criminal law. You are responsible for ensuring that your use of the collected data complies with the laws that apply to you and with LinkedIn's terms. Company descriptions belong to the companies that published them.

Personal data

A company page describes an organization, not a person. The rows hold company data only: name, description, website, industry, size, addresses, counters and logo. The Actor does not open profiles, does not read employee lists, does not look up emails or phone numbers, and performs no enrichment. If a company wrote a person's name or contact into its public description, that text stays in the description and is not extracted into a field. Scraped data lives only in your own Apify dataset and is not retained by us outside your run. If the data you collect contains personal data under the laws of your jurisdiction (for example the GDPR), you act as its controller: it is your responsibility to have a legal basis for processing and to honor data-subject requests, including deletion.

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Need a custom scraper?

We can build a custom version of this Actor, for example with extra fields, other filters or another output format, or a new Actor for a site we do not cover yet. It runs on Apify like this one. Email actorforge.hq+orders@gmail.com with the site, the data you need and how often you need it.

Other Actors

• LinkedIn Jobs Scraper: public job listings by keyword and location with full descriptions, no login; its companyUrl is this Actor's input.
• Reddit Data Scraper: subreddit feeds, posts with their first comments, keyword search and user history in one Actor.
• Reddit Subreddit Scraper: the hot, new, top and rising posts of any subreddit, with date bounds and only-new mode.
• Reddit Comments Scraper: the whole comment thread of a post, with "more replies" branches and deep reply chains.
• Reddit Search Scraper: posts and comments matching keywords, across Reddit or inside one subreddit, with only-new mode.
• Reddit User Scraper: a user's public posts and comments, newest first, with the profile card.
• YouTube Transcript Scraper: the transcript of any public YouTube video as text with timestamps, no login.
• Lazada Reviews Scraper: product reviews, ratings and buyer media from all six Lazada marketplaces.
• Wildberries Scraper: products, prices and reviews from Wildberries as clean, schema-validated JSON.
• Avito Real Estate Scraper: full property inventory from Avito with freshness stamps.

Changelog

• 0.1 (October 2026): first release. Company pages by URL or slug, About fields, address by parts, followers and LinkedIn member count, specialties, logo and office locations, free rows for pages LinkedIn does not serve, $3 per 1,000 companies, no start fee.