Linkedin Company About Scraper

🔍 What is LinkedIn Company About Scraper?

The LinkedIn Company About Scraper is a powerful Apify actor designed to extract structured information from the About pages of LinkedIn companies. 🚀 It helps you collect company details, descriptions, website links, industries, headquarters, employee counts, and more — all from publicly available LinkedIn data.

Perfect for market researchers, sales teams, recruiters, or analysts, this tool simplifies your workflow by delivering accurate and ready-to-use LinkedIn company data.

Unlike traditional LinkedIn scrapers, this Apify LinkedIn Company Scraper focuses on precision, multilingual support, and automation — making it ideal for building reliable B2B datasets without coding.

📊 What Data Can You Extract with LinkedIn Company About Scraper?

Below is a snapshot of what you can collect using this LinkedIn Company Scraper free tool 👇

🧩 Data Type	📘 Description	💡 Example
Company Name	The full name of the company	“Tesla, Inc.”
LinkedIn URL	The official LinkedIn page	https://www.linkedin.com/company/tesla/
Website Domain	Official company website	https://www.tesla.com
Industry	Industry category from LinkedIn	“Automotive”
Headquarters	City and country of HQ	“Austin, Texas, United States”
Company Size	Employee range listed on LinkedIn	“10,000+ employees”
Followers Count	Number of company followers	“2.3M followers”
Description	“About Us” section summary	“Tesla designs and builds electric vehicles...”
Founded Year	Year the company was established	“2003”
Specialties	Company areas of expertise	“EVs, Energy, AI, Manufacturing”

💡 You can also extract logos, cover images, and company type (Public, Private, Nonprofit) — making it a complete LinkedIn company profile scraper solution.

⚙️ Key Features of “LinkedIn Company About Scraper”

✨ Here’s what makes this actor stand out among other LinkedIn company scrapers:

• 🧠 Full About Page Extraction – Capture detailed “About” info including mission, values, and description.

• 🌍 Multilingual Support – Auto-detects and translates non-English About pages.

• 📈 Employee & Follower Insights – Works as both a LinkedIn Company Employees Scraper and Followers Scraper.

• ⚡ Batch Scraping – Scrape up to 30 company profiles in a single run.

• 💻 Developer Friendly – Use with LinkedIn Company Scraper API, Python, or LangChain.

• 🔒 No Login Required – Works without cookies, extensions, or browser risks.

• 💾 Data Export Options – Export to JSON, CSV, or Excel for analysis.

• 🧩 Integration Ready – Compatible with Make.com, n8n, and Zapier.

• 🚀 Apify-powered Reliability – Optimized for speed, accuracy, and scalability.

Whether you’re searching for a LinkedIn Company Scraper GitHub project, Python integration, or a ready-to-use Apify LinkedIn Company Scraper, this actor gives you all in one.

🪄 How to Use LinkedIn Company About Scraper?

Using the LinkedIn Company About Scraper is as easy as 1-2-3! 🧭

Step-by-Step Guide

1. 🔑 Login to Apify – Sign up or log in to your Apify account (free tier available).

2. 🔍 Find the Actor – Search for LinkedIn Company About Scraper in the Apify Store.

3. 🧾 Add Input Data – Provide a list of LinkedIn company names or URLs.

4. ⚙️ Customize Settings – Choose language, proxy, and number of results.

5. 🚀 Run the Actor – Click “Start” and let the scraper collect all company details.

6. 💾 Download Results – Export data in JSON, CSV, or Excel format.

💡 Pro Tip: Use the LinkedIn Company Scraper API or connect via Python or LangChain for automated workflows or CRM integrations.

🎯 Use Cases

The LinkedIn Company About Scraper is ideal for:

💼 Use Case	📊 Description
Market Research	Analyze competitors, industries, and company trends.
Lead Generation	Build a B2B contact database with accurate company info.
Recruitment	Identify hiring companies and workforce sizes.
Academic Research	Gather data for economic or social studies.
Sales Prospecting	Discover companies in target industries or geographies.
Investor Research	Extract financial or industry background before investment.

With Apify LinkedIn Company Scraper, you can combine About data with company followers or employee lists for advanced insights.

🌟 Why Choose Our LinkedIn Company About Scraper?

• ⚡ High Accuracy: Extracts verified data directly from official LinkedIn pages.

• 💬 Multilingual Translation: Auto-converts non-English data to English.

• 🧩 Comprehensive Data: Works as a LinkedIn company followers scraper, profile scraper, and employees scraper in one.

• 💻 Developer Friendly: Access via API, Python, or Apify SDK.

• 🛡️ Safe and Ethical: Scrapes only publicly available company data.

• 💰 Cost-Effective: Start free — upgrade only when scaling.

• 🌐 Integrations: Works perfectly with LangChain, Zapier, and n8n for workflow automation.

This tool outperforms browser-based scrapers or extensions while ensuring stability, reliability, and compliance.

⚖️ Is It Legal to Scrape LinkedIn Company Data?

✅ Yes, when done ethically.

This LinkedIn Company About Scraper extracts only public data from company pages and does not access personal or private information.

Guidelines for Legal Use:

• 🛡️ Only scrape publicly visible company information.

• ⚙️ Avoid personal or private data fields.

• 💼 Comply with data protection laws (GDPR, CCPA).

• ⚖️ Use scraped data responsibly — for analysis, not spam.

This scraper aligns with the Apify LinkedIn Scraper policy and ensures ethical, safe, and compliant operations.

🧩 Input Parameters

Example JSON Input

{
    "proxyConfiguration": {
        "useApifyProxy": false
    },
    "urls": [
        "Webflow",
        "https://www.linkedin.com/company/microsoft"
    ],
    "usernames": [
        "gitlab",
        "webflow"
    ]
}

📦 Output Format

Example JSON Output

[
  {
    "company_name": "Webflow",
    "linkedin_url": "https://www.linkedin.com/company/webflow",
    "domain": "https://webflow.com",
    "category": "Web development",
    "number_employees": "501-1000",
    "location": "San Francisco, California",
    "description": "Webflow, Inc. is an American company, based in San Francisco, that provides software as a service for website building and hosting. Their online visual editor platform allows users to design, build, and launch websites similar to Metaconex or Wix. According to W3Techs, in 2025, Webflow is used by 1.2% of the top 10 million websites. Webflow is a SaaS application that allows designers to build responsive websites with browser-based visual editing software. While designers use the tool, Webflow au..."
  },
  {
    "company_name": "Microsoft",
    "linkedin_url": "https://www.linkedin.com/company/microsoft",
    "domain": "https://microsoft.com",
    "category": "Technology",
    "number_employees": "228,000",
    "location": "Microsoft Campus, Redmond, Washington, U.S.",
    "description": "Microsoft Corporation is an American multinational corporation and technology conglomerate headquartered in Redmond, Washington. Founded in 1975, the company became influential in the rise of personal computers through software like Windows, and the company has since expanded to Internet services, cloud computing, video gaming and other fields. Microsoft is the largest software maker, one of the most valuable public companies,[a] and one of the most valuable brands globally. Microsoft is conside..."
  },
  {
    "company_name": "Gitlab",
    "linkedin_url": "https://www.linkedin.com/company/gitlab",
    "domain": "https://gitlab.com",
    "category": "Technology",
    "number_employees": "Unknown",
    "location": "Unknown",
    "description": "GitLab is a software forge primarily developed by GitLab Inc. It is available as a community edition and a commercial edition. GitLab was created in 2011 by Ukrainian programmer Dmytro Zaporozhets as a side project written in Ruby on Rails. Sytse Sijbrandij wanted to sell it as a service, which Zaporozhets agreed to. So the GitLab B.V. was founded in Utrecht in the Netherlands. Later Zaporozhets quit his job and started as CTO at GitLab...."
  },
  {
    "company_name": "Webflow",
    "linkedin_url": "https://www.linkedin.com/company/webflow",
    "domain": "https://webflow.com",
    "category": "Web development",
    "number_employees": "501-1000",
    "location": "San Francisco, California",
    "description": "Webflow, Inc. is an American company, based in San Francisco, that provides software as a service for website building and hosting. Their online visual editor platform allows users to design, build, and launch websites similar to Metaconex or Wix. According to W3Techs, in 2025, Webflow is used by 1.2% of the top 10 million websites. Webflow is a SaaS application that allows designers to build responsive websites with browser-based visual editing software. While designers use the tool, Webflow au..."
  }
]

❓ FAQ

1️⃣ Is LinkedIn Company About Scraper free?

✅ Yes! You can use the LinkedIn Company Scraper free version for up to 30 companies.

2️⃣ Do I need cookies or login?

❌ No — this actor works completely without login or cookies.

3️⃣ Can I use it with Python or API?

💻 Yes! It supports LinkedIn Company Scraper Python integration and Apify API access.

4️⃣ How many companies can I scrape?

📈 Up to 1,000 companies per run — scalable with parallel tasks.

5️⃣ Can it scrape followers or employees?

✅ Yes — it works as both LinkedIn Company Followers Scraper and Employees Scraper.

6️⃣ Does it work with LangChain or Make.com?

🤖 Absolutely! Perfect for LangChain, n8n, and Make.com automation.

7️⃣ Is it legal and safe?

🛡️ 100% safe and compliant with LinkedIn’s public data policy.

🚀 Final Thoughts

The LinkedIn Company About Scraper is your ultimate solution for extracting clean, structured, and accurate LinkedIn company data.

Whether you’re a data analyst, recruiter, investor, or developer, this actor saves hours of manual work while providing actionable insights — from company descriptions to industry trends.

💡 Integrate it with Python, LangChain, or Apify API to automate workflows and build data-rich pipelines effortlessly.

🌟 Start scraping smarter today — with the Apify LinkedIn Company About Scraper that’s fast, accurate, and built for professionals.