LinkedIn Company Scraper (No Cookies): Size, Industry & HQ

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LinkedIn Company Scraper at a glance

• Input: LinkedIn company page URLs, company slugs such as hubspot, or company domains such as hubspot.com.
• Output: one row per company with 20 fields, including name, industry, companySize, followers.
• Price: $4 per 1,000 companies, charged only for results.
• You need: nothing else. No cookies, no logins, no proxies and no API keys.
• Export: JSON, CSV, Excel or XML, or straight into your own tools with the Apify API and MCP.

What is LinkedIn Company Scraper?

Turns LinkedIn company pages into clean, typed company records: name, tagline, about text, website, logo, industry, company size band, employees on LinkedIn, follower count, headquarters with full postal address, company type, year founded and specialties. Pass a LinkedIn company URL, a slug, or just the company's own domain, and the page is found through the link on its website. No cookies and no LinkedIn account needed. Company data only, and fields a company page does not list come back empty. Built for lead enrichment, account research and market mapping.

• Company profile. Name, tagline, the full about text, website and logo.
• Firmographics. Industry, company size band, company type, year founded and specialties.
• Headcount and reach. Employees on LinkedIn and follower count.
• Location. The headquarters, plus the full postal address when the page lists it.
• From a domain. Give a company website instead of a LinkedIn URL and the page is found for you.

What data can I extract with LinkedIn Company Scraper?

Every result is one row per company, with these fields:

Field	What it holds
url	What you passed in: a LinkedIn URL, slug or domain
linkedinUrl	The company page that was read
name	Company name
tagline	Company tagline
description	The full About text
website	Company website
industry	Industry as listed on LinkedIn
companySize	Company size band, such as 51-200 employees
employeesOnLinkedin	Employees who list the company on LinkedIn
followers	Follower count
headquarters	Headquarters city and region
street	Street address, when listed
city	City
region	State or region
postalCode	Postal code
country	Country code
type	Company type, such as Privately Held or Public Company
founded	Year founded
specialties	Specialties as a list
logo	Company logo URL

The table view in Apify shows Company, Industry, Size, Followers, HQ, LinkedIn. The full record is in the JSON, CSV, Excel and XML exports, and over the API.

How to use LinkedIn Company Scraper

1. Open LinkedIn Company Scraper in the Apify Console. A free Apify account is enough to try it.
2. Paste your URLs, one per line, or upload a list.
3. Click Start. Each URL is processed on its own, so one bad entry never loses the batch.
4. Download the results as JSON, CSV or Excel, or send them to your own tools with an integration.

Input

One field: URLs. LinkedIn company page URLs, company slugs such as hubspot, or company domains such as hubspot.com.

Every line is checked before the run starts. Each must be a domain like stripe.com, not a company name; a run with any other line is refused with that line named, so a typo never costs you anything.

{
  "urls": [
    "https://www.linkedin.com/company/hubspot/",
    "stripe.com"
  ]
}

Output

A company we cannot resolve is skipped rather than returned empty, and you are not charged for it. The run log names every one that was skipped, so a short result is never a mystery.

{
  "url": "https://www.linkedin.com/company/hubspot/",
  "linkedinUrl": "https://www.linkedin.com/company/hubspot/",
  "name": "HubSpot",
  "tagline": "The agentic customer platform to scale your business.",
  "website": "https://hubspot.com",
  "industry": "Software Development",
  "companySize": "5,001-10,000 employees",
  "employeesOnLinkedin": 15878,
  "followers": 1758568,
  "headquarters": "Cambridge, Massachusetts",
  "type": "Public Company",
  "founded": 2006,
  "country": "US",
  "specialties": [
    "inbound marketing",
    "marketing automation",
    "SEO",
    "sales",
    "customer service"
  ]
}

How much does LinkedIn Company Scraper cost?

LinkedIn Company Scraper costs $4 per 1,000 companies returned, which is $0.004 each, with no separate compute charge. 10,000 companies cost $40.

• You pay only for results. A company that cannot be resolved is skipped and free.
• Try it on the free plan. Each free Apify account can run up to 50 companies through this Actor. On a paid plan, $5 covers about 1,250 companies.
• Volume discounts. Scale plans pay 5% less per result and Business plans 10% less.
• Cap any run. Set a maximum cost per run in the run options and the Actor stops cleanly when it is reached.

Common use cases

• Lead enrichment. Add industry, size and headquarters to every company in a lead list.
• Account research. Check a target account's size and focus before outreach.
• Market mapping. Segment a list of companies by industry, size or founding year.
• CRM hygiene. Refresh stale firmographics on the accounts you already hold.

Integrate LinkedIn Company Scraper with other apps

LinkedIn Company Scraper works with the integrations on the Apify platform, including Make, Zapier, n8n, Google Sheets, Slack, Airbyte, Clay, HubSpot and Salesforce through Make or Zapier. Results can also go anywhere with a webhook when a run finishes.

To keep a list current, save your input as a task and put it on a schedule.

LinkedIn Company Scraper API

Run LinkedIn Company Scraper from your own code with the Apify API clients.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hydrafetch/linkedin-company-scraper').call({ urls: ["https://www.linkedin.com/company/hubspot/","stripe.com"] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hydrafetch/linkedin-company-scraper").call(run_input={"urls": ["https://www.linkedin.com/company/hubspot/","stripe.com"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

AI agents can call it too. Connect Claude, Cursor or any MCP client to the Apify MCP server and add hydrafetch/linkedin-company-scraper as a tool.

FAQ

What can I pass in?

A LinkedIn company page URL, a company slug such as hubspot, or the company's own domain such as hubspot.com. A domain is looked up through the LinkedIn link on the company's website.

Does it return people or employee data?

No. It returns company data only, which keeps your dataset free of personal information.

Why is a field sometimes null?

Because the company's page does not list it. Empty fields stay empty.

How much does a domain lookup cost compared to a URL?

The same per result. You are charged only for companies returned, whichever way you pass them in.

Do I need cookies, a login or proxies?

No. LinkedIn Company Scraper works without cookies, accounts, proxies or API keys. Paste your URLs and run it; everything else is handled for you.

Is it legal to use LinkedIn Company Scraper?

LinkedIn Company Scraper collects only publicly available company information from LinkedIn company pages. As with any data collection, you are responsible for how you use the results: follow the terms of the websites you work with and data protection laws such as GDPR wherever personal data is involved. If you are unsure about your use case, check with a lawyer.

Does LinkedIn Company Scraper have an API?

Yes. Every run is available through the Apify API, with the JavaScript and Python examples above, and through the Apify MCP server for AI agents.

Other Actors by Hydrafetch

• Company Enrichment API: turn a list of domains into full company records: name, description, logo, brand colors, fonts, socials and industry.
• Bulk Company Logo Finder: give it a list of domains and get a direct image URL for each company logo, with dimensions and dominant color.
• Website Color Palette Extractor: read a site's real design system: colors by role with contrast ratios, the type scale, corner radius and button styling.
• AI SEO & GEO Audit: check whether an LLM or AI agent can actually read your pages, and get the specific reasons when it cannot.
• Website to Markdown: turn a list of URLs into clean markdown for LLMs, RAG and AI agents, with navigation, banners and boilerplate removed.
• Article Extractor: extract the full text, author, publish date and site details from any article or blog post URL.
• Company Social Links Finder: find the LinkedIn company page and every social profile a company links from its own website, from just the domain.
• Tech Stack Detector: find the CMS, ecommerce platform, analytics, frameworks, hosting and payment tools any website runs, from just the domain.
• PDF to Markdown: convert PDF links into clean markdown with headings and tables intact, ready for LLMs, RAG and search.
• Website Crawler to Markdown: crawl a whole website or docs section into clean markdown for LLMs, RAG and AI agents, one row per page.
• Company Jobs Scraper: get every open job at a company from just its domain: titles, teams, locations, pay and full descriptions, from the hiring platform it uses.
• YouTube Transcript Scraper: get the full transcript of any YouTube video with timestamps, title and channel, ready for AI summaries, RAG and search.
• Google Ads Library Scraper: get every Google ad a company runs from just its domain: creatives, formats and first and last shown dates, from the public Ads Transparency Center.
• Company Website Finder: turn a list of company names into their official websites and domains, each checked against the company homepage so directories never slip through.
• Website Screenshot API: capture screenshots of any web pages as hosted PNG links, full page or first screen, rendered in a real browser and priced per screenshot.

Terms of use

Your results are yours. We claim no rights in the inputs you submit or the data you get back. Full terms: hydrafetch.com/terms

Your feedback

Something not working, or a field you need? Open an issue on the Issues tab with the input you used, and we read every one.

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