🚀 LinkedIn Company Scraper

🚀 LinkedIn Company Scraper

The 🚀 LinkedIn Company Scraper is a fast, reliable LinkedIn company profile scraper that extracts public data from LinkedIn company pages and returns clean, analytics-ready JSON. It solves the hassle of manual copy‑paste by giving marketers, developers, data analysts, and researchers a scalable LinkedIn company data scraper for B2B enrichment, research, and programmatic workflows. With JSON‑LD + HTML parsing, live dataset saves per URL, and a smart proxy fallback to Apify Residential, it helps you scrape LinkedIn company pages at scale with fewer blocks — perfect for building a LinkedIn company database, enrichment pipelines, or a LinkedIn company API alternative.

What data / output can you get?

Below are the exact output fields the actor pushes to the dataset for each input URL. Values depend on what’s publicly available on the page.

Data type	Description	Example value
inputUrl	The URL that was processed	https://www.linkedin.com/company/netflix/
success	Boolean status of the scrape for this URL	true
name	Company name	Netflix
description	Public “About”/description text	Netflix is one of the world's leading entertainment services...
website	Website URL from JSON‑LD (sameAs)	https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin
logo	Company logo URL	https://media.licdn.com/dms/image/.../netflix_logo?...
slogan	Public slogan/tagline	Play, pause, and resume watching anytime and anywhere.
industry	Industry (About section)	Entertainment Providers
size	Company size as listed on LinkedIn	10,001+ employees
founded	Founded year (int or string when parsing is ambiguous)	1997
headquarters	Headquarters (About section)	Los Gatos, CA
type	Organization type	Public Company
employeeCount	Employee count from JSON‑LD numberOfEmployees	17554
location	Parsed address object { city, state, country }	{"city":"Los Gatos","state":"CA","country":"US"}
specialties	Array of specialties (About section)	["Revolutionizing the way people watch TV shows and movies!"]
similarPages	Array of similar pages with name/link (and optional image)	[{"link":"https://www.linkedin.com/company/google?trk=similar-pages","name":"Google"}]
employees	Sample of public employee cards (up to 10)	[{"link":"https://www.linkedin.com/in/aaronhipple?trk=org-employees","name":"Aaron Hipple","title":"Audio Software Engineer","image":"..."}]
posts	Sample of public posts (up to 10) from JSON‑LD	[{"url":"https://www.linkedin.com/posts/netflix_...","datePublished":"2025-09-24T15:00:15.442Z","text":"At the Venice Film Festival 2025..."}]
error	Error message if the URL failed after retries	""

Notes:

• Media fields like logo are included when present publicly.
• Arrays (employees, posts, similarPages, specialties) may be empty when not visible.
• Export your dataset in JSON, CSV, or Excel from Apify after the run.

Key features

• 🧠 Bold parsing (JSON‑LD + HTML) Extracts core organization data from JSON‑LD and enriches with HTML About-section fields for a robust LinkedIn company information extractor.

• ⚡ Live-save per URL Each company is pushed to the dataset as soon as it’s processed, so you can start consuming results immediately during a run.

• 🛡️ Smart proxy fallback Starts with your proxy (or direct) and smoothly switches to Apify Residential if blocked (e.g., 403/407/429/999 or authwall redirects) — ideal for a resilient LinkedIn business data scraper.

• 🤝 Public-only operation (no login) Designed to scrape public LinkedIn company pages without authentication — a clean LinkedIn company API alternative for open data.

• 📦 Clean, normalized JSON Consistent keys across results (name, website, industry, size, founded, employees sample, posts sample) for easy CRM/warehouse ingestion.

• 📈 Scales across lists Processes multiple URLs concurrently with retries and exponential backoff to reduce blocks and maximize throughput for your LinkedIn company list scraper.

• 🔧 Developer-ready Built on Apify SDK (Python) with httpx and BeautifulSoup — easy to integrate into pipelines, webhooks, or use via the Apify API.

• 🔗 Workflow-friendly Export to JSON/CSV/Excel, then plug into Zapier/Make/n8n or your ETL for firmographic enrichment and LinkedIn company insights extractor workflows.

How to use 🚀 LinkedIn Company Scraper - step by step

1. Sign up or log in to Apify
2. Open the actor “🚀 LinkedIn Company Scraper” in the Apify Store
3. Enter input data
   • Paste one or more LinkedIn company page URLs into the urls list (e.g., https://www.linkedin.com/company/netflix/).
4. (Optional) Configure proxy
   • Add a proxy configuration if you have one. If requests get blocked, the actor will automatically fall back to Apify Residential to keep going.
5. Start the run
   • Click Start. The scraper fetches each page, parses JSON‑LD + HTML, and live-saves results to the Dataset.
6. Monitor progress
   • Check the Dataset tab; rows appear as each URL finishes (success or error).
7. Export results
   • Download the dataset as JSON, CSV, or Excel, or access it via the Apify API for downstream automation.

Pro tip: Chain this LinkedIn company profile scraper with your CRM/warehouse sync to build a repeatable LinkedIn company enrichment tool.

Use cases

Use case name	Description
Sales/SDR – Account enrichment	Enrich accounts with industry, size, founded, HQ, and website to prioritize outreach and increase conversion.
Marketing – Programmatic SEO	Build landing pages from consistent firmographics and taglines scraped from LinkedIn company pages.
Recruiting – Company research	Validate company size, locations, and public posts to tailor talent pitches and outreach.
Competitive intelligence – Monitoring	Track positioning, slogans, and similar pages to map competitive landscapes with a LinkedIn firmographic data scraper.
Data teams – Pipeline ingestion	Use the normalized JSON to feed data warehouses or notebooks for analysis with a LinkedIn company database builder.
Product/BD – Due diligence	Quickly collect public basics (type, founded, HQ) for partner and vendor assessments.
Research – Academic/market studies	Aggregate public company data across industries and geographies for longitudinal analysis.

Why choose 🚀 LinkedIn Company Scraper?

• 🎯 Precision-first parsing: Combines JSON‑LD with HTML About fields for accurate, structured outputs.
• 🌐 Resilient by design: Automatic fallback to Apify Residential reduces blocks for smoother runs at scale.
• 📊 Analytics-ready JSON: Clean, predictable keys for CRMs, BI tools, and ETL — a practical LinkedIn company profile scraper.
• 🚀 Built to scale: Concurrency, retries, and backoff handle lists of URLs without babysitting.
• 🧩 Developer-friendly: Python + Apify SDK stack works seamlessly with the Apify API and your automation tools.
• 🔒 Public data only: A safer alternative to browser extensions and unstable scrapers that require login.
• 💸 Cost-effective pipeline: Export to CSV/JSON/Excel and plug into existing workflows without custom scraping infrastructure.

In short: a reliable LinkedIn company page scraper that prioritizes resilience, clean output, and production readiness over brittle, manual methods.

Is it legal / ethical to use 🚀 LinkedIn Company Scraper?

Yes — when done responsibly. This actor targets publicly available LinkedIn company pages and does not access private or authenticated data.

Guidelines:

• Collect only public company information; do not bypass access controls or log in.
• Respect LinkedIn’s Terms of Service and applicable laws (GDPR/CCPA).
• Use data for legitimate purposes (analytics, research, enrichment).
• Consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Example JSON input

{
  "urls": [
    "https://www.linkedin.com/company/netflix/"
  ],
  "proxy": {
    "useApifyProxy": true
  }
}

Parameters

• urls

  • Type: array of strings
  • Description: List of public LinkedIn company page URLs to process. Each URL is scraped independently and saved to the dataset as soon as it finishes! ⚡
  • Default: none (prefill example: https://www.linkedin.com/company/netflix/)
  • Required: yes

• proxy

  • Type: object
  • Description: Start with this proxy. If requests are blocked/rejected (e.g., 403/407/429/999 or authwall redirects), the actor smoothly switches to Apify Residential 🏠 and keeps using it to ensure success! ✅
  • Default: none
  • Required: no

Example JSON output (single item)

{
  "inputUrl": "https://www.linkedin.com/company/netflix/",
  "success": true,
  "name": "Netflix",
  "description": "Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.",
  "location": {
    "city": "Los Gatos",
    "state": "CA",
    "country": "US"
  },
  "employeeCount": 17554,
  "website": "https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin",
  "logo": "https://media.licdn.com/dms/image/v2/D4E0BAQGMva5_E8pUjw/company-logo_200_200/company-logo_200_200/0/1736276678240/netflix_logo?e=2147483647&v=beta&t=-84GbYZIgL-lNtKMkXAk-OE1L6VJVMfBSLJRG8FLkVY",
  "slogan": "Play, pause, and resume watching anytime and anywhere. ",
  "industry": "Entertainment Providers",
  "size": "10,001+ employees",
  "founded": 1997,
  "headquarters": "Los Gatos, CA",
  "type": "Public Company",
  "specialties": [
    "Revolutionizing the way people watch TV shows and movies!"
  ],
  "similarPages": [
    {
      "link": "https://se.linkedin.com/company/spotify?trk=similar-pages",
      "name": "Spotify"
    },
    {
      "link": "https://www.linkedin.com/company/google?trk=similar-pages",
      "name": "Google"
    }
  ],
  "employees": [
    {
      "link": "https://www.linkedin.com/in/aaronhipple?trk=org-employees",
      "name": "Aaron Hipple",
      "title": "Audio Software Engineer",
      "image": "https://media.licdn.com/dms/image/v2/C4E03AQH_rhYlmsE33Q/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1516155809223?e=2147483647&v=beta&t=AOI83o_TV-HDY0dY3mTP9cgUFihsic0NL5HdYEE3VOw"
    }
  ],
  "posts": [
    {
      "url": "https://www.linkedin.com/posts/netflix_venicefilmfestival-dreamteam-activity-7376631561569484801-JgLk",
      "datePublished": "2025-09-24T15:00:15.442Z",
      "text": "At the Venice Film Festival 2025, we proudly showcased 4 World Premieres..."
    }
  ],
  "error": ""
}

Notes:

• When unavailable, string fields default to "" and arrays default to [].
• employeeCount defaults to 0 if not present in JSON‑LD.
• employees and posts are returned as public samples (up to 10 items each).

Related tools

🔗 Tool	🔗 Tool
LinkedIn Ads Scraper	LinkedIn Search Jobs Scraper
LinkedIn Company Employees Scraper	LinkedIn Post Scraper
LinkedIn Company About Scraper	LinkedIn Profile Scraper [Cheapest + Fastest]

FAQ

Is there a free option to try this LinkedIn company scraper?

Yes. You can run the actor on Apify and export results from the dataset; check the Apify Store listing for pricing and available trial options.

Do I need to log in or provide cookies?

No. This LinkedIn company profile scraper works on publicly available company pages and does not require authentication.

Can I use this as a LinkedIn company API alternative?

Yes. The actor outputs structured JSON with consistent keys, and you can access results via the Apify API as a practical LinkedIn company API alternative.

How many employees or posts does it return?

The actor returns a public sample of employees and posts, up to 10 items each, when available on the company page.

Does it support Sales Navigator or Recruiter data?

No. The actor focuses on public company pages. Accessing Sales Navigator or Recruiter may raise legal/ToS risks — stick to public data and consult counsel if in doubt.

What happens if my proxy gets blocked?

The actor detects common block statuses and will smoothly switch to Apify Residential proxies to keep the run successful, making it a robust LinkedIn company page scraper.

Can I export results to CSV or Excel?

Yes. After the run, open the Dataset and export data to JSON, CSV, or Excel, or fetch via the Apify API for automation.

Which fields might be empty?

Any field not present publicly will return an empty value: strings as "", arrays as [], and employeeCount as 0. This keeps the schema consistent across records.

Closing CTA / Final thoughts

The 🚀 LinkedIn Company Scraper is built for fast, reliable extraction of public LinkedIn company data at scale. With clean, normalized JSON, proxy fallback resilience, and live dataset saves, it’s ideal for sales, marketing, research, and data teams. Developers can integrate via the Apify API to automate enrichment and build a LinkedIn company database. Start extracting smarter firmographics and insights today — and power your pipelines with a dependable LinkedIn company data scraper.