Find Any Company On LinkedIn

Look up any company on LinkedIn and get industry, size, headquarters, website, employees, and follower count — fast and cheap, no login needed.

Paste LinkedIn company URLs, get clean company profiles back. Name, tagline, about, industry, company size, type, founded year, headquarters, full address, specialties, website, phone, social links, logo, exact employee count, follower count, office locations, featured employees, and recent updates — all in one unified JSON record per company.

🤝 Support & Community

📧 Support: Contact Us 💬 Community: Telegram Group

🏆 Key Features

🏢 Complete Company Identity

• 📛 Core Profile: Name, tagline headline, About description, website, industry, and primary LinkedIn URL in a consistent shape.
• 📐 Size & Type: Employee size range (e.g. "10,001+ employees"), exact reported employee count, and company type (Public, Private, Nonprofit).
• 📅 History: Founded year for account-age checks and company maturity scoring.
• 🖼️ Brand Assets: High-resolution logo image URL ready for dashboards, CRMs, or enrichment.

📍 Location & Contact

• 🏛️ Headquarters: City and region of the company HQ, plus the full structured street address.
• 🗺️ All Offices: Every office location on the profile with street, region, labels (e.g. "Primary"), and a directions link.
• 📞 Phone Numbers: Public contact phone numbers as listed on the company page.
• 🔗 Social Links: Twitter, Facebook, YouTube, Instagram and other social profile URLs keyed by platform.

📈 Audience & Reach

• 👥 Follower Count: LinkedIn follower total for influence and reach benchmarking.
• 👔 Featured Employees: Highlighted employees with name, role subtitle, image, LinkedIn URL, and Influencer flag.
• ⭐ Specialties: Declared focus areas and specialties list for category and positioning research.
• 📰 Recent Updates: Latest company feed posts with text, posted date, reactions, comments, and post URL.

⚡ Batch Lookup, Ready To Use

• 🚀 100 URLs Per Run: Submit up to 100 LinkedIn company URLs in a single request and get one record per company.
• 🔑 No Login Required: Pulls public company data only — nothing to authenticate, nothing to configure.
• 🛡️ Per-URL Status: Each result includes a status field so you can distinguish resolved companies from targets that were not found.
• 📊 Consistent Shape: Every company returns the same JSON schema, ready to drop into a sheet, CRM, or database.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime, proxy and storage. Cost depends on resource consumption during execution
Company	$0.005	Charged per LinkedIn company profile successfully looked up with complete metadata

Example Cost Calculation:

• Looking up 100 LinkedIn companies
• Cost: 100 × $0.005 = $0.50 + minimal runtime fees

🎯 Use Cases

🔎 Company Research

Look up a shortlist of LinkedIn companies in one go and compare industry, headquarters, size, and founded year side-by-side without opening each page.

🏢 Vendor & Partner Check

Quickly verify a vendor, partner, or potential client on LinkedIn — size, type, HQ, website, and featured employees — before a meeting or email.

📇 Contact List Cleanup

Enrich a list of company LinkedIn URLs with website, phone, and industry so your spreadsheet becomes usable for outreach and sorting.

📊 Market Snapshot

Pull a set of competitors or category leaders and compare employee count, follower count, and specialties to size up a market.

🔔 Saved Company Tracking

Re-run the same URL list on a schedule to spot changes in size, headquarters, or recent posts across the companies you care about.

🌟 Why choose this Actor?

Built for fast, cheap, one-click LinkedIn company lookups, this Actor turns any public company URL into a clean record with size, location, and contact details.

Feature	Find Any Company On LinkedIn	Manual Lookup	Generic Scrapers	Enterprise Data APIs
Pricing Model	✅ $0.005 / company	❌ Your time	⚠️ $49+/month	❌ $500+/month
Login Required	✅ No	⚠️ Yes (most data)	⚠️ Varies	❌ Contracts
Batch Input	✅ Up to 100 URLs	❌ One at a time	⚠️ Depends	✅ Yes
Offices + Phones	✅ All locations	⚠️ HQ only	⚠️ Partial	✅ Yes
Featured Employees	✅ Yes	❌ Manual	❌ Rarely	⚠️ Limited
Recent Updates	✅ Yes	❌ Manual	❌ Rarely	⚠️ Limited
Setup Complexity	✅ Paste URLs, run	❌ Manual	⚠️ Template req.	❌ Complex onboarding

💻 Input Parameters

Parameter	Type	Required	Description
urls	array	✅ Yes	List of public LinkedIn company page URLs to look up. Up to 100 URLs per run. Example: https://www.linkedin.com/company/apple

📝 Example Input

{
  "urls": [
    "https://www.linkedin.com/company/apple",
    "https://www.linkedin.com/company/google",
    "https://www.linkedin.com/company/microsoft",
    "https://www.linkedin.com/company/openai",
    "https://www.linkedin.com/company/nvidia"
  ]
}

📤 Output Structure

Field	Type	Description
source_url	string	Original LinkedIn company URL provided as input
processor	string	URL of the Apify actor that processed this record
processed_at	string	ISO 8601 timestamp of when the company was looked up
status	string	Lookup status (success or not found)
type	string	LinkedIn page type detected for the URL
linkedin_url	string	Normalized LinkedIn company profile URL
name	string	Official company name shown on the LinkedIn profile
headline	string	Short tagline shown under the company name
about	string	Full company description from the About section
website	string	Official company website URL
industry	string	Primary industry or sector the company operates in
company_size	string	Employee headcount range as shown on LinkedIn
company_type	string	Ownership type such as Public, Private, or Nonprofit
founded	string	Year the company was founded
headquarters	string	City and region of the company headquarters
address	string	Full street address of the primary company location
specialties	array	List of specialties or focus areas declared by the company
phones	array	Contact phone numbers listed on the company profile
social_links	object	Company social media URLs keyed by platform name
logo_url	string	Direct URL to the company logo image
employee_count	integer	Exact number of employees reported by LinkedIn
follower_count	integer	Number of LinkedIn followers the company has
locations	array	Office locations with address lines and directions link
featured_employees	array	Highlighted employees shown on the company page
updates	array	Recent posts published on the company's LinkedIn feed

Location Fields

Field	Type	Description
is_primary	boolean	Whether this is the primary/HQ location
label	string	Label shown on the location badge
street	string	Street address line
region_text	string	City, region, postal code, country
address_lines	array	All address lines shown on LinkedIn
directions_url	string	Map directions URL

Featured Employee Fields

Field	Type	Description
name	string	Employee full name
linkedin_url	string	LinkedIn profile URL of the employee
image_url	string	Employee profile photo URL
subtitle	string	Role or title shown under the name
is_influencer	boolean	Whether the employee carries the Influencer tag

Update Fields

Field	Type	Description
header	string	Header line shown above the post
actor_name	string	Name of the account that posted
actor_url	string	LinkedIn URL of the posting account
actor_image_url	string	Profile image URL of the posting account
posted_at	string	Date or timestamp of the post
content	string	Text content of the post
reaction_count	integer	Number of reactions on the post
comment_count	integer	Number of comments on the post
post_url	string	Direct URL to the LinkedIn post

📤 Example Output

{
  "source_url": "https://www.linkedin.com/company/apple",
  "processor": "https://apify.com/cheapget/find-any-company-on-linkedin?fpr=aiagentapi",
  "processed_at": "2026-01-21T08:25:42+00:00",
  "status": "success",
  "type": "company",
  "linkedin_url": "https://www.linkedin.com/company/apple/",
  "name": "Apple",
  "headline": "Consumer Electronics · Cupertino, CA",
  "about": "We're a diverse collective of thinkers and doers, continually reimagining what's possible.",
  "website": "https://www.apple.com",
  "industry": "Computers and Electronics Manufacturing",
  "company_size": "10,001+ employees",
  "company_type": "Public Company",
  "founded": "1976",
  "headquarters": "Cupertino, California",
  "address": "One Apple Park Way, Cupertino, CA 95014, US",
  "specialties": ["Innovative Product Development", "Consumer Electronics"],
  "phones": ["+1-800-275-2273"],
  "social_links": {
    "twitter": "https://twitter.com/apple",
    "facebook": "https://facebook.com/apple"
  },
  "logo_url": "https://media.licdn.com/dms/image/apple-logo.png",
  "employee_count": 164000,
  "follower_count": 21500000,
  "locations": [
    {
      "is_primary": true,
      "label": "Primary",
      "street": "One Apple Park Way",
      "region_text": "Cupertino, California 95014, US",
      "address_lines": ["One Apple Park Way", "Cupertino, California 95014, US"],
      "directions_url": "https://www.bing.com/maps?where=..."
    }
  ],
  "featured_employees": [
    {
      "name": "Tim Cook",
      "linkedin_url": "https://www.linkedin.com/in/tim-cook",
      "image_url": "https://media.licdn.com/dms/image/tim.jpg",
      "subtitle": "CEO at Apple",
      "is_influencer": true
    }
  ],
  "updates": [
    {
      "header": "Apple posted this",
      "actor_name": "Apple",
      "actor_url": "https://www.linkedin.com/company/apple",
      "actor_image_url": "https://media.licdn.com/dms/image/apple.jpg",
      "posted_at": "2025-01-10",
      "content": "Introducing our latest product...",
      "reaction_count": 12500,
      "comment_count": 340,
      "post_url": "https://www.linkedin.com/posts/activity-123456"
    }
  ]
}

🔌 Integrations

Seamlessly connect this actor to your existing pipelines via the Apify API.

🐍 Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")

run_input = {'urls': ['https://www.linkedin.com/company/apple',
          'https://www.linkedin.com/company/google',
          'https://www.linkedin.com/company/microsoft',
          'https://www.linkedin.com/company/openai',
          'https://www.linkedin.com/company/nvidia']}

run = client.actor("cheapget/find-any-company-on-linkedin").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

🟨 JavaScript / Node.js SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' });

const run = await client.actor('cheapget/find-any-company-on-linkedin').call({
  runInput: {
      "urls": [
          "https://www.linkedin.com/company/apple",
          "https://www.linkedin.com/company/google",
          "https://www.linkedin.com/company/microsoft",
          "https://www.linkedin.com/company/openai",
          "https://www.linkedin.com/company/nvidia"
      ]
  }
});

for await (const item of client.dataset(run.defaultDatasetId).iterateItems()) {
  console.log(item);
}

🌐 REST API (curl)

curl -X POST "https://api.apify.com/v2/acts/cheapget~find-any-company-on-linkedin/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://www.linkedin.com/company/apple", "https://www.linkedin.com/company/google", "https://www.linkedin.com/company/microsoft", "https://www.linkedin.com/company/openai", "https://www.linkedin.com/company/nvidia"]}'

Ⓜ️ Make.com Integration

Get Started with Make.com (1000 Free Credits) 🎁

Step 1: Add the Make.com module "Run an Actor"
Step 2: Enable mapping and paste the Actor ID for Find Any Company On LinkedIn
Step 3: Paste the input JSON and run synchronously
Step 4: Add "Get Dataset Items" with `defaultDatasetId`

🎱 N8N.io Integration

Open Source Workflow Automation ⚡

Step 1: Add the Apify node "Run an Actor and get dataset"
Step 2: Set Selection Mode to By ID
Step 3: Paste the Actor ID for Find Any Company On LinkedIn
Step 4: Add your input JSON and read items from `defaultDatasetId`

📚 API Documentation

• MCP API - Model Context Protocol integration
• Python API - Complete Python client documentation with examples
• JavaScript API - Node.js and browser integration guide

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Find Any Company On LinkedIn - Apify Actor",
  "applicationCategory": "DeveloperApplication",
  "applicationSubCategory": "LinkedIn Company Lookup",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD",
    "priceValidUntil": "2099-12-31",
    "availability": "https://schema.org/InStock"
  },
  "description": "Look up any company on LinkedIn and get industry, size, headquarters, website, employees, and follower count — fast and cheap, no login needed.",
  "featureList": [
    "Complete Company Identity",
    "Location & Contact",
    "Audience & Reach",
    "Batch Lookup"
  ],
  "keywords": "find-any-company-on-linkedin, linkedin company lookup, apify actor",
  "author": {
    "@type": "Organization",
    "name": "cheapget",
    "url": "https://apify.com/cheapget?fpr=aiagentapi"
  },
  "softwareVersion": "1.0.0",
  "datePublished": "2024-01-01",
  "dateModified": "2026-04-15"
}

🚀 Performance Tips

Optimize your lookup runs for speed, cost, and data quality with these best practices:

💰 Cost Optimization

• Test First: Start with 3-5 company URLs to verify output quality before running larger batches.
• Batch Together: Looking up 50 companies in one run is cheaper than 50 single-URL runs thanks to amortized runtime.
• Monitor Usage: Check the "Usage" tab in Apify Console for real-time cost tracking. Each company costs $0.005.

⚡ Speed Optimization

• Clean URLs: Use canonical https://www.linkedin.com/company/<slug> URLs — short vanity slugs resolve fastest.
• Live Pages: Active company pages load faster than deleted or merged ones; deleted profiles return not found.
• Right-Sized Batches: 20-50 URLs per run is usually the sweet spot between throughput and observability.

🛡️ Data Quality Tips

• Check status: Always read the status field — not found means the URL no longer resolves to a public company page.
• Empty Fields Are Expected: Not every company fills in phone, specialties, or featured employees. Fields are returned as null or empty lists in that case.
• Fresh Data: Follower count, employee count, and recent updates reflect live values at the moment of lookup. Schedule re-runs if you care about changes.

📊 Best Practices

• Rate Limits: The Actor handles rate limiting automatically with proxy rotation — no manual throttling needed.
• Partial Progress: Results are saved per-URL as they complete, so you keep everything that succeeded even if a later URL fails.
• Monitor Progress: Use Apify Console's live log to watch lookups stream in.

❓ FAQ

What data can I extract from a LinkedIn company?

You get the public company profile: name, tagline, About description, industry, employee size range, exact employee count, follower count, company type, founded year, headquarters, full address, specialties, phone, website, social media links, logo image URL, all office locations, featured employees, and recent feed posts.

How many companies can I look up in one run?

Up to 100 LinkedIn company URLs per run. For larger lists, run the Actor multiple times.

Do I need to log in to LinkedIn?

No. This Actor only uses publicly available company data — the same information visible to any unauthenticated visitor. No LinkedIn account, cookie, or session is required.

What URL formats are supported?

Any public LinkedIn company URL works, including:

• https://www.linkedin.com/company/apple
• https://www.linkedin.com/company/apple/
• linkedin.com/company/apple

Personal profile URLs (/in/...) are not supported — use a dedicated person-lookup actor for those.

Why is a field empty for some companies?

Not every company fills in every field on LinkedIn. Phone, specialties, featured employees, and recent updates are optional and may be blank. Missing fields return null or an empty list.

What happens if a company URL is wrong or deleted?

The result comes back with status: "not found" and the original source_url preserved so you can match it back to your input list.

How long does a typical lookup take?

A single company resolves in a few seconds. A 50-URL batch usually finishes within 1-3 minutes depending on proxy rotation and page response times.

How fresh is the data?

Every run pulls live data at the moment of lookup — employee count, follower count, and recent updates all reflect the current public page.

Can I export results to Excel or CSV?

Yes. After the run completes, open the Output tab in Apify Console and click Export to download CSV, Excel, or JSON.

Is this legal?

This Actor only extracts publicly available company information — the same data any visitor can see without logging in. You are responsible for ensuring your use complies with applicable laws and LinkedIn's terms.

🏷️ Find Any Company On LinkedIn

🔥 Search Terms: find any company on linkedin, linkedin company lookup, linkedin company search, linkedin company finder, company lookup tool, linkedin profile lookup, linkedin company info, company size lookup, linkedin follower count, company headquarters lookup, linkedin employee count, company website lookup, linkedin industry lookup, linkedin company details, company specialties lookup, linkedin company phone, company logo lookup, linkedin about company, company social links, linkedin company type, linkedin founded year, company address lookup, linkedin offices lookup, linkedin featured employees, linkedin company updates

💼 Use Case: company-lookup company-research vendor-check partner-check contact-list-cleanup market-snapshot saved-company-tracking competitor-monitoring company-directory linkedin-lookup company-verification company-size-check headquarters-lookup website-lookup employee-count-check follower-tracking company-profile business-research

⚖️ Legal & Compliance

This actor extracts publicly available data only. It does not bypass authentication, access private content, or violate platform terms of service. You are responsible for:

• Data Rights: Ensuring you have permission to collect and use the extracted data
• Privacy Compliance: Adhering to GDPR, CCPA, and other applicable privacy laws when processing data
• Platform Terms: Respecting the platform's terms of service and usage policies
• Ethical Use: Using extracted data responsibly and in compliance with applicable laws

🔗 Related Actors

• Best Job Search - Aggregates job listings from LinkedIn, Indeed, Glassdoor, and regional platforms with normalized output for sourcing, analytics, and job monitoring.
• Glassdoor Job Search - Extracts Glassdoor job postings with salary ranges, company ratings, reviews, and listing details for employer and compensation research.
• Indeed Job Search - Extracts Indeed job listings with titles, locations, salary disclosures, company details, and application links for hiring and market research.
• LinkedIn Job Search - Extracts LinkedIn job postings with applicant counts, company information, seniority signals, and structured hiring data.
• Find Anyone On LinkedIn - Looks up any person on LinkedIn and returns headline, location, experience, education, and activity.
• Best Video Downloader - Downloads videos or metadata from 1000+ platforms with quality control, thumbnail URLs, and optional comment extraction.
• TikTok Video Downloader - Downloads TikTok videos without watermarks and returns metadata, audio details, comments, hashtags, and creator information.
• YouTube Video Downloader - Downloads YouTube videos in multiple qualities and returns metadata, comments, thumbnails, and media file links.
• Video Subtitles Downloader - Extracts subtitles from video URLs and returns structured subtitle data with downloadable text outputs.
• TikTok Live Recorder - Records TikTok live streams and returns capture files with stream, creator, and engagement metadata.
• TikTok Video Profile - Extracts rich TikTok video metadata including captions, hashtags, engagement stats, comments, and creator information.
• YouTuber Profile - Extracts YouTube channel profile data including subscriber counts, descriptions, links, emails, and optional video catalogs.
• Video To Text - Transcribes video and audio content into structured text with timestamps and language support for searchable downstream workflows.
• Instagram To Text - Transcribes Instagram video content into text for captioning, repurposing, research, and searchable archives.
• Social Media Marketing - Generates platform-ready marketing outputs from source content with multiple copy variations, tones, and distribution formats.
• Reddit User Profile - Extracts Reddit user profile data, activity signals, karma metrics, trophies, and account-level metadata.
• Reddit Community Profile - Extracts subreddit metadata including rules, wiki content, pinned posts, descriptions, and community-level details.
• Reddit Community Post - Extracts posts from a subreddit with metadata, content, authors, engagement stats, and comment threads.
• Reddit Post Search - Searches Reddit posts by keyword and returns structured post data with engagement signals and nested comments.
• Reddit Community User - Extracts active users from a subreddit with karma, account status, trophies, moderated communities, and related profile data.
• Telegram Group Member - Extracts Telegram group member profiles and community participant data from public groups.
• Telegram Channel Message - Extracts Telegram channel messages with text, media, views, replies, forwards, and reaction metrics.
• Telegram Profile - Extracts Telegram profiles for users, groups, bots, and channels with public metadata and identity details.
• Google Business Profile - Extracts Google Business Profile listings with contact information, reviews, ratings, photos, categories, and location data.
• X Community Profile - Extracts X community metadata including descriptions, membership signals, creator information, and activity details.
• X User Profile - Extracts comprehensive X user profile data including verification, follower metrics, pinned content, and account metadata.
• Zillow Real Estate - Extracts Zillow property listings with pricing, photos, valuations, unit details, address data, and listing metadata.
• US Real Estate - Extracts U.S. property listings with pricing, specs, valuation fields, agent details, and market-ready real estate data.

---

Last Updated: April 15, 2026