LinkedIn Company Scraper — Scrape Public LinkedIn Company Data (No API Key, No Login)

Scrape any public LinkedIn company page into clean, structured JSON — name, description, website, employee count, logo, headquarters address, socials and recent posts — with no API key, no login, and no cookies or account required. Export scraped data to JSON, CSV, Excel, or XML, schedule runs via API, and integrate with your tools and AI workflows.

Built for AI agents: plug this LinkedIn company scraper straight into Claude, ChatGPT / Codex, and Cursor through the Apify MCP server, so your assistant can pull live LinkedIn company data on demand.

What it does · AI agents (MCP) · How to use · Output data · Limits · Output example · Pricing · Integrations · FAQ · Other actors

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What can LinkedIn Company Scraper do? {#what-can-linkedin-company-scraper-do}

LinkedIn Company Scraper lets you scrape public LinkedIn company data from any company page and hands it back to you as clean, structured JSON. Paste one or more company URLs (the /company/... pages), press start, and get back the company name, tagline, full description, website, headquarters address, employee count, logo, linked social pages and a sample of recent posts.

There is no API key to manage, no login, and no cookies or account required. The scraper handles page rendering, parsing and normalization for you, so you always receive tidy fields instead of raw HTML. It works equally well for a single lookup or to scrape LinkedIn companies at scale — hundreds of accounts in a batch.

Whether you are enriching a CRM, building a sales prospecting list, running competitor analysis or feeding an AI agent, this actor gives you reliable LinkedIn company data — only publicly available data — without the usual friction. Get your first results free in under 2 minutes.

✅ No login, no cookies, no API key

You never sign in, never paste session cookies and never juggle credentials. Just supply public company URLs and the scraper does the rest. Everything needed to reach and parse the page is handled internally — go beyond the limitations of the official LinkedIn API.

🗂️ Structured company profile

Every run returns a normalized company object: name, description, url, homepage/website (sameAs), numberOfEmployees, a structured address (street, locality, region, postal code, country) and a logo with a direct image URL. No scraping of raw markup on your side.

💬 Recent company posts

Along with the profile, the scraper collects a sample of the company's most recent public posts — text, author, headline, publish date and post URL — so you can gauge activity, messaging and cadence at a glance.

📊 Scrape LinkedIn companies at scale

Feed a list of company URLs and get one structured record per company. Perfect for enriching CRM accounts, cleaning up prospect lists or building datasets for analysis — scrape a bunch of companies at once with no limitations on the number of URLs across runs.

🔄 Clean, predictable JSON

Output is consistent and machine-friendly. Export scraped data to JSON, CSV, Excel or XML, or feed it directly to your own pipeline, spreadsheet or database without post-processing.

⚡ Fast, fresh data

The scraper is tuned for speed and resilience. Fast response times deliver data in minutes, each run is capped so results stay predictable, and there is no stale caching — you always get fresh company data.

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Use LinkedIn Company Scraper with AI agents — Claude, ChatGPT & Cursor (MCP) {#use-linkedin-company-scraper-with-ai-agents-mcp}

This actor is ready to use as a tool for AI agents through the Apify MCP (Model Context Protocol) server. Once connected, your assistant can call LinkedIn Company Scraper on its own to scrape LinkedIn company data — no glue code required.

• Claude (Claude Desktop, Claude Code) — add the Apify MCP server and let Claude fetch company data mid-conversation.
• ChatGPT / Codex — expose this actor as an MCP tool so your GPT-based agent can enrich accounts in real time.
• Cursor — call the scraper directly from your editor while building data-driven features.

Because the output is clean JSON, it flows naturally into downstream MCP connectors and automation platforms like Make, Zapier, n8n, Slack, Airtable, Notion, Google Sheets, Google Drive, Airbyte, Gumloop, CrewAI, IFTTT, Lindy and GitHub — enrich a record, drop it in a sheet, or notify a channel the moment new company data arrives.

Learn more about the Apify MCP server to wire this actor into your agent stack.

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How to scrape LinkedIn companies {#how-to-scrape-linkedin-companies}

1. Open the LinkedIn Company Scraper on Apify.
2. In Company URLs (startUrls), paste one or more public LinkedIn company URLs, e.g. https://www.linkedin.com/company/google/.
3. (Optional) Set Max companies (maxItems) to cap how many companies to scrape in one run.
4. Click ▶ Start and wait for the run to finish — usually a few minutes.
5. Open the Dataset tab and export scraped data as JSON, CSV, Excel or XML, or grab it via the API.

That's it. No account, no cookies, no configuration headaches — just publicly available LinkedIn company data.

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What data can you scrape from LinkedIn companies? {#what-data-can-you-scrape-from-linkedin-companies}

Each company record you scrape from LinkedIn is returned as a structured object. The most useful fields:

Field	Type	Description
ok	boolean	Whether the company page was scraped successfully
type	string	Record type, e.g. company
status	number	HTTP-style status of the fetch (e.g. 200)
company.name	string	Official company name
company.description	string	Full "About" description
company.url	string	Canonical LinkedIn company URL
company.sameAs	string	The company's external website / homepage
company.numberOfEmployees.value	number	Reported employee count
company.logo.contentUrl	string	Direct URL to the company logo image
company.address.streetAddress	string	Headquarters street address
company.address.addressLocality	string	City
company.address.addressRegion	string	State / region
company.address.postalCode	string	Postal / ZIP code
company.address.addressCountry	string	Country code
posts[].url	string	URL of a recent company post
posts[].text	string	Post body text
posts[].author	string	Post author (usually the company)
posts[].headline	string	Short post headline
posts[].datePublished	string	ISO date the post was published
postsCount	number	Number of posts captured for the company
sourceUrl	string	The input URL that was scraped

Field availability depends on what the company has published publicly. Missing values are returned as null.

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Use cases for scraping LinkedIn company data

• Sales prospecting — build targeted account lists with employee count, industry signals and location.
• CRM enrichment — fill in company website, size, HQ and description for existing accounts.
• Lead generation & qualification — score and segment companies by size or region before outreach.
• Competitor analysis — track rivals' descriptions, messaging and recent posts.
• Market research & mapping — profile every company in a segment or vertical.
• Recruiting & talent intel — understand a target employer's size, location and public activity.
• Investment research — gather structured company data for due diligence and screening.
• AI agent grounding — give your assistant live, structured company facts to reason over.

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Scrape a single LinkedIn company

Provide one company URL to pull its full profile.

{
  "startUrls": [
    { "url": "https://www.linkedin.com/company/microsoft/" }
  ]
}

Scrape multiple LinkedIn companies at once

Pass a list of URLs to enrich many accounts in one run.

{
  "startUrls": [
    { "url": "https://www.linkedin.com/company/google/" },
    { "url": "https://www.linkedin.com/company/microsoft/" },
    { "url": "https://www.linkedin.com/company/apple/" }
  ]
}

Cap how many companies you scrape

Use maxItems to limit how many companies are scraped in a run.

{
  "startUrls": [
    { "url": "https://www.linkedin.com/company/google/" },
    { "url": "https://www.linkedin.com/company/microsoft/" }
  ],
  "maxItems": 25
}

Quick single-account enrichment

Enrich one company and keep the run tight.

{
  "startUrls": [
    { "url": "https://www.linkedin.com/company/stripe/" }
  ],
  "maxItems": 1
}

---

Limiting results {#limits}

• maxItems (integer, default 50) — the maximum number of companies to scrape in one run. Minimum 1, maximum 100.
• Each run lasts at most ~10 minutes, so results stay fast and predictable.

To scrape more than 100 LinkedIn companies, split your URL list across multiple runs (for example, schedule several runs or chunk your input list). Setting a lower maxItems is a simple way to control cost and runtime.

---

Output example {#output-example}

A trimmed real example of one company record you scrape from LinkedIn:

{
  "ok": true,
  "type": "company",
  "status": 200,
  "company": {
    "url": "https://www.linkedin.com/company/microsoft",
    "name": "Microsoft",
    "sameAs": "https://news.microsoft.com/",
    "description": "Every company has a mission. What's ours? To empower every person and every organization to achieve more...",
    "numberOfEmployees": {
      "@type": "QuantitativeValue",
      "value": 233177
    },
    "logo": {
      "@type": "ImageObject",
      "contentUrl": "https://media.licdn.com/dms/image/v2/D560BAQH32RJQCl3dDQ/company-logo_200_200/microsoft_logo",
      "description": "Microsoft"
    },
    "address": {
      "type": "PostalAddress",
      "streetAddress": "1 Microsoft Way",
      "addressLocality": "Redmond",
      "addressRegion": "Washington",
      "postalCode": "98052",
      "addressCountry": "US"
    }
  },
  "posts": [
    {
      "url": "https://www.linkedin.com/posts/microsoft_june-activity-7477715981667086336-BV_s",
      "text": "The most meaningful breakthroughs happen when technology is built with people in mind...",
      "type": "post",
      "author": "Microsoft",
      "headline": "June ",
      "datePublished": "2026-06-30T13:33:39.256Z"
    }
  ],
  "postsCount": 1,
  "sourceUrl": "https://www.linkedin.com/company/microsoft/"
}

---

How much does scraping LinkedIn companies cost? {#how-much-does-scraping-linkedin-companies-cost}

This actor is pay-per-result — you are billed for the company records you get back, not for time spent or infrastructure. Because runs are fast and capped, costs stay predictable and low. Get your first results free in under 2 minutes, and new Apify accounts include free monthly usage credits so you can test the scraper at no cost.

A few tips to keep spend efficient:

• Set maxItems to exactly the number of companies you need.
• De-duplicate your URL list before running.
• Batch related lookups into a single run rather than many tiny runs.

See the Pricing tab on the actor page for current per-result rates.

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Integrate with n8n, Zapier, and Make {#integrations}

You can run LinkedIn Company Scraper from any tool that can make an HTTP request. The actor path is myagizm~linkedin-company-scraper.

Run synchronously and get dataset items in one call (best for small batches):

curl -X POST "https://api.apify.com/v2/acts/myagizm~linkedin-company-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "startUrls": [
      { "url": "https://www.linkedin.com/company/microsoft/" }
    ],
    "maxItems": 10
  }'

Start a run asynchronously (best for larger jobs — poll or use a webhook):

curl -X POST "https://api.apify.com/v2/acts/myagizm~linkedin-company-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "startUrls": [
      { "url": "https://www.linkedin.com/company/google/" },
      { "url": "https://www.linkedin.com/company/apple/" }
    ],
    "maxItems": 50
  }'

Fetch results from a finished run's dataset:

$curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_APIFY_TOKEN&clean=true&format=json"

Native connectors are available for n8n, Zapier and Make, plus generic webhooks so you can trigger runs and route results into Slack, Notion, Airtable and Google Sheets automatically.

---

Support {#support}

Questions, feature requests or a company page that doesn't parse the way you expect? Open an issue on the actor's Issues tab on Apify and include the input you used. Feedback directly shapes the roadmap, and most reports get a quick response.

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FAQ — scraping LinkedIn company data {#faq}

Is it legal to scrape LinkedIn company data?

This actor only accesses publicly available company pages — the same information anyone can view in a browser without logging in. As with any scraping, you are responsible for complying with applicable laws (including data-protection rules such as GDPR and CCPA) and LinkedIn's terms. Use the data responsibly and avoid collecting personal data you don't have a lawful basis to process.

Do I need a LinkedIn account or API key to scrape companies?

No. There is no login, no cookies and no API key. Just provide public company URLs — no account required.

Can I use LinkedIn Company Scraper with the Apify API?

Yes. Start runs and fetch datasets programmatically via the Apify API using the actor path myagizm~linkedin-company-scraper. See Integrations for ready-to-use API snippets.

Can I get LinkedIn company data through an MCP server?

Yes. Connect the actor through the Apify MCP server and your AI agent — Claude, ChatGPT or Cursor — can call it directly. See Use with AI agents.

Do I need proxies to scrape LinkedIn companies?

No. Everything needed to reach and parse the page is handled internally — you don't configure or supply any proxies.

Can I integrate LinkedIn company data with other apps?

Yes. Use the Apify API, webhooks, or the native n8n, Zapier and Make connectors to route data into Slack, Notion, Airtable, Google Sheets and more. See Integrations.

Can I export LinkedIn company data to CSV, Excel or JSON?

Yes. Results are stored in an Apify dataset and can be exported as JSON, CSV, Excel or XML, or pulled via the API.

Can I scrape multiple LinkedIn companies at once?

Yes. Pass a list of URLs in startUrls to scrape a bunch of companies at once — up to maxItems per run, and split larger lists across runs.

Can I schedule the LinkedIn company scraper?

Yes. Use Apify Schedules to run the scraper on a cron-like cadence and keep your company data fresh.

Can I scrape data from private LinkedIn companies?

No. The scraper only collects publicly available data from public /company/... pages. Private or gated content is never accessed.

Does it return company posts?

Yes — a sample of the company's most recent public posts, including text, author, headline, publish date and URL.

What happens if a field isn't available?

If a company hasn't published a particular detail, that field is returned as null rather than causing an error.

Why did a company return ok: false or a non-200 status?

That usually means the page couldn't be fully reached or parsed (for example an invalid or private URL). Double-check the URL is a public /company/... page and retry.

How fast is the LinkedIn company scraper?

Runs typically finish in minutes and are capped at about 10 minutes, so results stay fast and predictable — fresh data, no stale caching.

How is pricing calculated?

Pay-per-result — you're charged for the company records returned. See How much does it cost?.

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Want other LinkedIn data? {#want-other-linkedin-data}

This LinkedIn company scraper is part of the full LinkedIn suite by myagizm — mix and match to build a complete dataset. Want to go beyond company pages?

• LinkedIn Profile Scraper (no cookies) — scrape public LinkedIn profile data without login.
• LinkedIn Profile Posts Scraper (no cookies) — pull a profile's recent public posts.
• LinkedIn Jobs Scraper (no cookies) — collect public LinkedIn job listings at scale.
• LinkedIn People + Email Scraper (no cookies) — find people and public contact details.

Need data from other platforms too? Explore the rest of the myagizm actor store — scrapers for Reddit, YouTube, Instagram and Facebook, all with the same no-login, pay-per-result approach.

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Disclaimer {#disclaimer}

This is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn. All product names, logos, and brands are property of their respective owners. This actor is intended to collect only publicly available data and should be used in compliance with applicable laws, LinkedIn's terms of service, and data-protection regulations such as GDPR and CCPA.

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Resources {#resources}

• Apify API documentation — run actors and fetch datasets programmatically.
• Apify MCP server — use this actor as a tool for AI agents.
• Exporting dataset results — JSON, CSV, Excel and more.
• Apify Schedules — automate recurring runs.
• Actor page — try it now.