LinkedIn Company Profile Scraper - No Login

Turn public LinkedIn company URLs into structured company snapshots without supplying a LinkedIn account or cookies. Receive company details, follower and employee signals, recent public posts, and a comparison with the previous successful snapshot.

What this Actor does

The Actor processes direct /company/<slug>/ URLs and returns the public organization data LinkedIn exposes. It stores successful snapshots so later runs can report initial, unchanged, or changed and identify the fields that changed.

Use cases

• Enrich company and lead lists with current public organization data.
• Monitor follower, employee, profile, and public-post changes.
• Add company context to recruiting, sales, and market-research workflows.

How to use

1. Open the Actor in Apify Console.
2. Add 1–100 public LinkedIn company URLs.
3. Choose All current snapshots or Changed companies only.
4. Click Start and open the Dataset when the run finishes.

Input

companyUrls is required and accepts 1–100 direct public LinkedIn company URLs. Personal profiles, jobs, posts, search pages, and non-LinkedIn URLs are invalid. deliveryMode: "all" returns every valid snapshot. deliveryMode: "changes_only" returns successful rows only when a stored snapshot changed; error rows remain visible, and the first successful snapshot is returned.

This exact input produced the complete output below:

{
  "companyUrls": [
    "https://www.linkedin.com/company/microsoft/"
  ],
  "deliveryMode": "all"
}

Output

A successful row contains canonical company identity, public organization fields, recent public post previews, source signals, snapshot hash, comparison state, and changed fields. Missing optional values are null or empty arrays. Failed rows contain success: false, a status such as invalid_url, invalid_response, blocked, or network_error, and an error message.

This is the complete Dataset item from a real successful run:

{
  "success": true,
  "status": "success",
  "inputUrl": "https://www.linkedin.com/company/microsoft/",
  "companyUrl": "https://www.linkedin.com/company/microsoft",
  "companySlug": "microsoft",
  "scrapedAt": "2026-08-24T07:11:07.429440Z",
  "error": null,
  "company": {
    "name": "Microsoft",
    "description": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.",
    "headquarters": "1 Microsoft Way, Redmond, Washington, 98052, US",
    "employeeCount": 232907,
    "employeeRange": null,
    "logoUrl": "https://media.licdn.com/dms/image/v2/D560BAQH32RJQCl3dDQ/company-logo_200_200/B56ZYQ0mrGGoAM-/0/1744038948046/microsoft_logo?e=2147483647&v=beta&t=ts9MGrTk7Lz3R1bmAfzCL8euuuuPWPCoXfdiLA2_IzM",
    "sameAs": [
      "https://news.microsoft.com/"
    ],
    "websiteUrl": "https://news.microsoft.com/",
    "industry": "Software Development",
    "companySizeText": "10,001+ employees",
    "organizationType": "Public Company",
    "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",
      "and IT Professional"
    ],
    "followers": "28,937,713"
  },
  "publicPosts": [
    {
      "url": "https://www.linkedin.com/posts/microsoft_july-2026-activity-7487862338335801344-bBsC",
      "publishedAt": "2026-07-28T13:31:39.195Z",
      "text": "Doctors are busy, visits can seem rushed. Many people – especially women – can feel like their doctor hasn’t really heard them. In July's edition of The Monthly Tech-In, we explore how AI is helping clinicians spend more time listening to their patients and less time on administrative tasks. Beyond healthcare, we share stories about how farmers, researchers and executives are using AI to meet real-world challenges. Learn more about the people putting AI into practice."
    }
  ],
  "sourceSignals": {
    "organizationJsonLd": true,
    "openGraph": true,
    "jsonLdPostCount": 1
  },
  "snapshotHash": "6de579dfe948c3023d3a5471a787151d95e139740f3422a3e72bd498cf53ac0f",
  "comparison": {
    "comparisonState": "changed",
    "changedFields": [
      "company.employeeCount",
      "company.followers",
      "publicPosts"
    ],
    "fieldChanges": {
      "publicPosts": {
        "previous": [],
        "current": [
          {
            "url": "https://www.linkedin.com/posts/microsoft_july-2026-activity-7487862338335801344-bBsC",
            "publishedAt": "2026-07-28T13:31:39.195Z",
            "text": "Doctors are busy, visits can seem rushed. Many people – especially women – can feel like their doctor hasn’t really heard them. In July's edition of The Monthly Tech-In, we explore how AI is helping clinicians spend more time listening to their patients and less time on administrative tasks. Beyond healthcare, we share stories about how farmers, researchers and executives are using AI to meet real-world challenges. Learn more about the people putting AI into practice."
          }
        ]
      },
      "company.employeeCount": {
        "previous": 233178,
        "current": 232907
      },
      "company.followers": {
        "previous": "28,688,439",
        "current": "28,937,713"
      }
    }
  },
  "changedFields": [
    "company.employeeCount",
    "company.followers",
    "publicPosts"
  ]
}

Results can be exported as JSON, JSONL, CSV, Excel, XML, or RSS. The output schema also links to the run summary.

Pricing

The verified price is $0.001 per company_snapshot event, equal to $1 per 1,000 successfully extracted company profiles. Invalid URLs, blocked or unavailable pages, and network errors are not charged. A successful check in changes_only mode is chargeable even when the snapshot is unchanged and therefore no Dataset row is emitted.

API and integrations

Run the Actor through Apify Console, API, CLI, schedules, or webhooks. Schedules combined with changes_only are useful for monitoring; consume Dataset items through the API or supported integrations and retain the same storage context for snapshot comparisons.

Related Actors

Actor	Best for
LinkedIn Public Profile Scraper	Enriching public profiles of founders, employees, or stakeholders.
LinkedIn Jobs Scraper – No Login	Tracking the roles and locations a company is hiring for.
LinkedIn Ad Library Scraper – No Login	Researching a company's public LinkedIn advertising activity.

Limits and data quality

Each run accepts up to 100 company URLs. LinkedIn controls public field availability, and counts or posts can change between runs. Snapshot comparisons depend on the previous successful stored snapshot; changing or clearing storage resets that history. A successful result can still contain null optional fields when LinkedIn did not expose them.

Frequently asked questions

What is the difference between the delivery modes?

all returns every successful current snapshot. changes_only returns a successful row only for an initial or changed snapshot, while still charging for each successful profile check.

Why does the first run show a comparison?

The Actor establishes an initial baseline, or compares with an earlier successful snapshot already stored for that company. The comparisonState tells you which case applies.

Responsible use

Use only publicly available company information for lawful purposes. You are responsible for complying with LinkedIn's terms, applicable privacy and data-protection laws, and the rights associated with company content and public posts.

Support

Open an issue in the Actor's Issues tab with the run ID, affected public company URL, delivery mode, and unexpected field or status.