LinkedIn Company Details Scraper – No Login

🔍 What is LinkedIn Company Scraper?

LinkedIn Company Scraper is a fast, low-cost tool to extract LinkedIn company data at scale, with no LinkedIn account, login or cookies. Paste a list of LinkedIn company URLs or names and get one clean, structured record per company: company profile, industry, specialties, company size, employee and follower counts, headquarters, office locations, logo and cover image, plus the company's latest 3 LinkedIn posts with likes and comments.

Export your LinkedIn company data to JSON, CSV, Excel, XML or HTML, or pull it straight into your app, CRM or spreadsheet through the Apify API.

📋 What LinkedIn company data can you extract?

🏢 Company profile

• Company name, tagline and "About" description
• Website
• Industry and specialties
• Founding year

🖼️ Branding

• Company logo
• Cover (banner) image with width, height and link expiry

📊 Company size & reach

• Company size band (for example 1,001-5,000 employees)
• Number of employees on LinkedIn
• Follower count

📍 Headquarters & office locations

• Headquarters
• Every office address listed on the page: street, city, region, postal code, country and a headquarters flag

📰 Latest LinkedIn posts

• The last 3 posts from the company page: text, post URL, publish date, author, author URL, media type (image, video, article, document, …) and reaction, like and comment counts

✅ Run details

• Whether each company was collected (success)
• Timestamp of when the company was collected

💡 Why scrape LinkedIn company pages?

🎯 B2B lead generation: turn a list of company names into enriched leads with website, industry, specialties, company size and headquarters.

🗂️ CRM & data enrichment: fill in missing firmographic fields in HubSpot, Salesforce, Pipedrive, Airtable or Google Sheets automatically.

💼 Sales intelligence & prospecting: read a prospect's "About" section, specialties and latest posts before you reach out.

🔎 Competitor analysis: track competitors' positioning, specialties, headcount, follower growth and what they post.

🧠 Market research: map an industry or region by grouping companies by industry, specialties, size and location.

📈 Investment research: get a quick overview of what a company does, how big it is and where it operates.

📰 Content & news monitoring: follow company announcements, product launches and hiring news from their latest LinkedIn posts.

🏷️ Recruiting & talent intelligence: find growing companies, their specialties and their office locations.

⭐ Why choose this LinkedIn company scraper?

• No LinkedIn account, no cookies, no ban risk: the Actor reads only the public company page. It never logs in or uses LinkedIn accounts, so there's nothing of yours to restrict or ban.
• Live, fresh data: every run reads the company page right then. Nothing comes from an old database.
• All-in-one record: company details, specialties, images, locations and posts in a single dataset item.
• Flexible input: company names (google), full URLs, URLs without https://, country subdomains and sub-page links all work.
• Pay only for results: failed or invalid companies are free.
• Clean, consistent output: missing values are null, never guessed, so your data stays reliable.
• Ready for automation: use the API, schedules, webhooks and integrations with Zapier, Make, Google Sheets and Slack.

💰 How much does it cost to scrape LinkedIn company data?

You pay only for results:

Event	Price
Company (a company that returned data)	$3.00 per 1,000 companies
Actor start	$0.00005 per run

That's $0.003 per company. Platform usage is included, so there are no extra compute or proxy costs. Failed companies are free: if a URL is invalid, the company doesn't exist, or the page can't be loaded, you aren't charged for it.

You can set a maximum cost per run when you start the Actor. The run stops once that limit is reached.

🚀 How to scrape LinkedIn company data (step by step)

1. Click Try for free (or Start).
2. Add one or more LinkedIn companies (name or URL) to Companies.
3. Click Start and wait for the run to finish. It takes a few seconds per company.
4. Download your data as JSON, CSV, Excel, XML or HTML, or access it through the Apify API.

⬇️ Input

Provide LinkedIn company identifiers or URLs in the companies field:

{
  "companies": [
    "example-company",
    "https://linkedin.com/company/example-company",
    "linkedin.com/company/another-company"
  ]
}

Supported input types

• Company identifier: example-company
• Full URL: https://linkedin.com/company/example-company
• URL without https://: linkedin.com/company/example-company
• Country or mobile subdomains: in.linkedin.com/company/..., m.linkedin.com/company/...
• Links to sub-pages or with tracking parameters (/about/, /posts/, ?trk=...) work too

Duplicates are removed (also across formats, e.g. pwc and https://www.linkedin.com/company/pwc/), so each company is collected and charged only once per run.

Not supported: personal profiles (/in/...), job posts, schools, showcase pages and non-LinkedIn URLs. These appear in the dataset with success: false and are not charged.

Advanced settings

Setting	Default	Description
urls	none	Same as companies; kept for backward compatibility.
url	none	A single company (identifier or URL). Merged with companies.
requestDelaySeconds	2	Pause between requests, in seconds (0–15).

The default works well for most runs. A lower delay can lead to more failed companies.

⬆️ Output: sample LinkedIn company data

Each company becomes one item in the dataset. Here is a real result for https://www.linkedin.com/company/info-edge-india-ltd/ (long texts shortened with "…"):

{
  "linkedin_url": "https://www.linkedin.com/company/info-edge-india-ltd/",
  "company_name": "Info Edge India Ltd",
  "tagline": "India’s premier online classifieds company in recruitment, matrimony, real estate, education and related services.",
  "about": "Info Edge, India’s premier online classifieds company is fundamentally in the matching business.\n\nThe umbrella brand has an online recruitment classifieds, www.naukri.com– India’s No. 1 Jobsite …",
  "website": "http://www.infoedge.in",
  "industry": "Technology, Information and Internet",
  "industries": ["Technology, Information and Internet"],
  "specialities": [
    "online recruitment",
    "matrimonial",
    "real estate & education classifieds",
    "Education",
    "Data Science",
    "Artificial Intelligence"
  ],
  "company_size": "1,001-5,000 employees",
  "employeeCount": 5754,
  "followerCount": 147916,
  "headquarters": "Expressway-Noida., Uttar Pradesh",
  "logo": "https://media.licdn.com/dms/image/v2/C4D0BAQFuCi4x-RyiYg/company-logo_200_200/company-logo_200_200/0/1631316845204?e=2147483647&v=beta&t=Znd3HYCycPmLcCUYsqE5nW_MxSm2PpzhvlDjn6GsVrA",
  "backgroundCovers": [
    {
      "url": "https://media.licdn.com/dms/image/v2/D563DAQGBbbA4jWN-rw/image-scale_191_1128/image-scale_191_1128/0/1719331358049/info_edge_india_ltd_cover?e=2147483647&v=beta&t=c8T_YPyIiqPOi9d8DUqC2AYuffmn1f5oY3F-pQyrtNc",
      "width": 1128,
      "height": 191,
      "expiresAt": 2147483647000
    }
  ],
  "foundedOn": {
    "year": 1995
  },
  "posts": [
    {
      "text": "\"Six weeks into my journey at Info Edge, and it has been an invigorating experience. …",
      "url": "https://www.linkedin.com/posts/info-edge-india-ltd_infoedge-hrleadership-talentstrategy-activity-7511020207302389763-wh6I",
      "published_at": "2026-09-30T11:12:45.427Z",
      "author": "Info Edge India Ltd",
      "media_type": "image",
      "authorUrl": "https://in.linkedin.com/company/info-edge-india-ltd",
      "reactionCount": 276,
      "likeCount": 276,
      "commentCount": 44
    },
    {
      "text": "On the latest episode of Workwise with Naukri, …",
      "url": "https://www.linkedin.com/posts/info-edge-india-ltd_on-the-latest-episode-of-workwise-with-naukri-activity-7508133517470449665-ao-N",
      "published_at": "2026-09-22T12:02:04.939Z",
      "author": "Info Edge India Ltd",
      "media_type": "video",
      "authorUrl": "https://in.linkedin.com/company/info-edge-india-ltd",
      "reactionCount": 56,
      "likeCount": 56,
      "commentCount": 2
    },
    {
      "text": "\"I am excited to join Info Edge as Executive Vice President & Head of AI Architecture. …",
      "url": "https://www.linkedin.com/posts/info-edge-india-ltd_infoduction-infoedge-lifeatinfoedge-activity-7506238304447524864-Nf8o",
      "published_at": "2026-09-17T06:31:10.884Z",
      "author": "Info Edge India Ltd",
      "media_type": "image",
      "authorUrl": "https://in.linkedin.com/company/info-edge-india-ltd",
      "reactionCount": 75,
      "likeCount": 75,
      "commentCount": 8
    }
  ],
  "locations": [
    {
      "country": "IN",
      "geographicArea": "Uttar Pradesh",
      "city": "Expressway-Noida.",
      "line1": "B-8,",
      "line2": "Sector 132, Near Jaypee Green Wishtown,",
      "postalCode": "201301",
      "headquarter": true
    }
  ],
  "success": true,
  "scraped_at": "2026-10-02T15:56:49Z"
}

Field reference

Field	Type	Description
linkedin_url	string	The cleaned-up company page URL
company_name	string | null	Company name
tagline	string | null	Short tagline under the company name
about	string | null	"About" / description text
website	string | null	Company website
industry	string | null	Industry as listed on LinkedIn
industries	array | null	The industry as a list, for example ["Entertainment Providers"]
specialities	array | null	Specialties the company lists, for example ["Assurance", "Tax", "Advisory"]
company_size	string | null	Employee range, for example 51-200 employees
employeeCount	integer | null	LinkedIn members who list the company as their employer (not the official headcount)
followerCount	integer | null	LinkedIn followers
headquarters	string | null	Headquarters location, for example New York, NY
logo	string | null	Logo image URL. LinkedIn's image links can change, so download the image if you need to keep it
backgroundCovers	array | null	Cover (banner) image, see below
foundedOn	object | null	Founding year, for example {"year": 1997}
posts	array	The last 3 original posts (reposts excluded), see below
locations	array | null	Office locations listed on the page, see below. null when the page lists none
success	boolean	true if the company was collected, false if it couldn't be
scraped_at	string	UTC timestamp (ISO 8601)

Each cover image has:

Field	Type	Description
url	string	Image URL
width	integer | null	Width in pixels
height	integer | null	Height in pixels
expiresAt	integer | null	When the image link expires, as a Unix timestamp in milliseconds

Each post has:

Field	Type	Description
text	string | null	Post text
url	string | null	Link to the post
published_at	string | null	Publish time, UTC (ISO 8601)
author	string | null	Author name
media_type	string | null	video, image, article, document, poll, reshare, or null for text-only posts
authorUrl	string | null	Author's LinkedIn page
reactionCount	integer | null	All reactions (likes, celebrates, …)
likeCount	integer | null	Like count from LinkedIn's structured data
commentCount	integer | null	Number of comments

Each location has:

Field	Type	Description
country	string | null	Two-letter country code, for example US
geographicArea	string | null	State or region, for example CA or North Holland
city	string | null	City
line1	string | null	First address line
line2	string | null	Second address line, if any
postalCode	string | null	Postal / ZIP code
headquarter	boolean	true for the headquarters (the location LinkedIn marks "Primary")

What success means

• ✅ true: the company was found. Fields the company hasn't filled in on LinkedIn (for example a tagline, specialties or founding year) are null.
• ❌ false: the company couldn't be collected, for example because of an invalid or personal-profile URL, a company that doesn't exist, or a page that couldn't be loaded. All other fields are null. These companies are not charged.

A failed company never stops the run. Every URL you submit gets its own dataset item, so you can always see what happened to each one.

Dataset view

The Overview table in the Output tab shows the key fields at a glance: LinkedIn URL, company name, logo, website, industry, company size, followers, headquarters, success and time. The full record, including about, specialities, backgroundCovers, posts and locations, is available in the JSON view and in every export format.

🔌 Integrations and API

Like any Apify Actor, LinkedIn Company Scraper can be:

• Called from the Apify API or the Apify SDK (JavaScript / Python) to get LinkedIn company data in your own app
• Scheduled to track companies, headcount and followers over time
• Connected to Google Sheets, Slack, Zapier, Make, Airtable, HubSpot and more with Apify integrations
• Wired to webhooks that trigger your own workflow when a run finishes

❓ FAQ

How do I scrape LinkedIn company data without logging in? Add the company names or URLs to Companies and click Start. This Actor reads the public LinkedIn company page, so you don't need a LinkedIn account, cookies or a browser extension.

Does this Actor use LinkedIn accounts behind the scenes? No. It reads only the public company page that anyone can open without logging in. It doesn't use your account or any account pool.

Can I scrape LinkedIn company posts? Yes. Every record includes the company's last 3 original posts with text, URL, date, media type and reaction, like and comment counts.

Can I get company specialties and cover images? Yes. specialities lists the specialties the company shows on its page, and backgroundCovers holds the cover image URL with its size.

How many companies can I scrape? There's no fixed limit. Add as many company names or URLs as you need; each one becomes its own dataset item.

Can I export LinkedIn company data to Excel or CSV? Yes. Download the results as CSV, Excel, JSON, XML or HTML from the Output tab, or send them to Google Sheets with an integration.

Why are some fields empty? Not every company fills in every field on its LinkedIn page. Fields that aren't shown publicly, such as a tagline, specialties or founding year, are null.

Why did some companies fail? Items with success: false are usually invalid or non-company URLs, or pages LinkedIn didn't load at that moment. Check the run log for the reason, then run those URLs again later or use a longer requestDelaySeconds. You are not charged for failed companies.

Can I get funding data, personal profiles or employee lists? No. LinkedIn shows these only to logged-in members, and this Actor only reads public company pages.

Is it legal to scrape LinkedIn company pages? This Actor only collects data that LinkedIn shows publicly to visitors who aren't logged in. Posts can mention people, so make sure your use complies with LinkedIn's terms and data protection laws such as GDPR. If you're unsure, ask a lawyer.

📝 Feedback

Have a feature request or found a bug? Open an issue in the Issues tab and we'll take a look.