Linkedin Company Profile Scraper

Linkedin Company Profile Scraper

Linkedin Company Profile Scraper is a purpose-built tool to scrape public LinkedIn company pages and return structured, analytics-ready JSON for B2B enrichment, market intelligence, and lead generation. As a LinkedIn company profile extractor and LinkedIn company information scraper, it solves the manual, error-prone task of gathering firmographic details by automating reliable, repeatable extraction. It’s ideal for marketers, developers, data analysts, and researchers who need to scrape LinkedIn company profiles at scale and feed clean data into CRMs, BI tools, or data pipelines.

What data / output can you get?

Below are the real fields the actor outputs to the dataset for each processed URL. Examples are based on a Netflix company page run.

Data field	Description	Example value
inputUrl	The LinkedIn company URL that was processed	https://www.linkedin.com/company/netflix/
success	Boolean indicating if the scrape succeeded	true
name	Company name	Netflix
description	Company “About” style description	Netflix is one of the world's leading entertainment services...
website	Company website or canonical link	https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin
logo	URL of the company logo image	https://media.licdn.com/dms/image/.../netflix_logo?...
industry	LinkedIn industry category	Entertainment Providers
size	Employee range listed on LinkedIn	10,001+ employees
employeeCount	Numeric headcount value (if present in JSON‑LD)	17554
founded	Year founded (number or string)	1997
headquarters	Headquarters text from the page	Los Gatos, CA
posts	Array of recent posts with url, datePublished, text	[{"url":"https://www.linkedin.com/posts/netflix_...","datePublished":"2025-09-24T15:00:15.442Z","text":"At the Venice Film Festival 2025..."}]

Also returned when available: location (city/state/country), slogan, type, specialties (array), similarPages (array of objects), employees (array of objects), and error. You can export data from the Apify dataset in JSON, CSV, or Excel formats.

Key features

• 🧭 Public data extraction (JSON‑LD + HTML) Extracts public LinkedIn company page data by combining JSON‑LD signals with semantic HTML parsing for accuracy and stability.

• 🔁 Live dataset streaming per URL Saves each company’s result to the Apify dataset as it’s processed, so you can monitor progress and start consuming data immediately.

• 🧱 Resilient proxy fallback Starts with your selected proxy (or direct), and if requests are blocked (e.g., 403/407/429/999 or authwall redirects), it automatically switches to Apify Residential and keeps using it.

• 📦 Queue-based batching & deduplication Adds all URLs to a Request Queue that automatically deduplicates by URL, powering reliable, large-scale LinkedIn company page data extraction.

• ⏱️ Smart retries with backoff Handles transient issues via exponential backoff and categorized error handling, reducing flaky failures in your LinkedIn company data scraping tool.

• 🔌 Developer-friendly integration Consume results via Apify’s Dataset and Key-Value Store APIs in your pipelines (Python, Node.js) to build your own LinkedIn company profiles scraping software and data enrichment workflows.

• 🧾 Flexible exports Download results as JSON/CSV/Excel from the dataset UI or via API—perfect for CRMs, spreadsheets, or warehouses.

• 🧰 Lightweight, extension-free No browser extension required. This LinkedIn business profile scraper runs server-side with httpx for fast, stable requests.

How to use Linkedin Company Profile Scraper - step by step

1. Sign in to Apify
   Create a free Apify account or log in.

2. Open the actor
   Find “Linkedin Company Profile Scraper” in the Apify Store and click Try for free.

3. Add input URLs
   Paste one or more LinkedIn company page URLs into the urls field (e.g., https://www.linkedin.com/company/netflix).

4. (Optional) Configure proxy
   In the proxy field, select your preferred proxy. If left empty, the actor starts direct and will automatically fall back to Apify Residential if blocked.

5. Start the run
   Click Start. The actor will add your URLs to a queue, process them, and push each result to the dataset as soon as it’s ready.

6. Monitor progress
   Check the Console for logs (including proxy fallback events) and open the Dataset to see live results.

7. Export your data
   Download the dataset in JSON, CSV, or Excel—or fetch it via the Apify API to pipe into your CRM or BI tools.

Pro tip: Chain this LinkedIn company data extractor with your internal API to automate enrichment and build a continuous LinkedIn company directory scraper pipeline.

Use cases

Use case	Description
Sales & SDR account enrichment	Enrich accounts with industry, size, HQ, and website to improve ICP scoring and personalize outreach at scale.
Competitor benchmarking	Track positioning, page descriptions, and similar pages to map competitive landscapes efficiently.
Market research & firmographics	Aggregate industries, employee sizes, and headquarters across categories/regions for robust analysis.
Recruitment intelligence	Validate headcounts and locations to prioritize outreach and tailor messaging for talent acquisition.
SEO & content research	Mine descriptions and post snippets for keywords to support programmatic pages and editorial planning.
Investment & due diligence	Extract company basics (type, founding year, HQ) to speed up screening and verification workflows.
Data engineering pipeline (API)	Automate scrape → store → transform via the Apify API as part of a broader data ingestion pipeline.

Why choose Linkedin Company Profile Scraper?

Get precision, resilience, and production-ready scalability—without browser extensions or manual overhead.

• 🎯 Accurate parsing: Combines JSON‑LD and HTML selectors for consistent, structured output.
• 🛡️ Built-in resilience: Automatic proxy fallback to Apify Residential when LinkedIn blocks are detected.
• 📈 Scales with you: Queue-powered batching, deduplication, and robust retry logic for large URL lists.
• 🧑‍💻 Developer access: Consume datasets and KV outputs via the Apify API in Python or Node.js workflows.
• 🔒 Ethical by design: Targets publicly available company pages only—no login or private data access.
• 💸 Cost-efficient operations: Server-side scraping without maintaining browsers or extensions.
• 🔗 Integration-ready: Use exports (CSV/JSON/Excel) with your CRM, spreadsheets, or pipelines to power a LinkedIn company data enrichment tool.

In short: a reliable LinkedIn company page scraper alternative to unstable extensions—optimized for teams that need clean, repeatable outputs.

Is it legal / ethical to use Linkedin Company Profile Scraper?

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

Guidelines for compliant use:

• Collect only public company information and do not bypass access controls.
• Respect LinkedIn’s terms, applicable laws (e.g., GDPR/CCPA), and regional regulations.
• Use data for legitimate purposes (analytics, research, enrichment) and honor deletion/opt-out where applicable.
• Consult your legal team for edge cases or specialized use (e.g., compliance-sensitive industries).

Input parameters & output format

Example JSON input

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

Parameters

• urls (array of strings; required): 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 (minItems: 1).
• proxy (object; optional): Proxy configuration to start with. If requests are blocked/rejected (e.g., 403/407/429/999 or authwall redirects), the actor switches to Apify Residential and keeps using it. Default: not set (direct).

Example JSON output

[
  {
    "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"
      },
      {
        "link": "https://www.linkedin.com/company/amazon?trk=similar-pages",
        "name": "Amazon"
      },
      {
        "link": "https://www.linkedin.com/company/meta?trk=similar-pages",
        "name": "Meta"
      },
      {
        "link": "https://www.linkedin.com/company/apple?trk=similar-pages",
        "name": "Apple"
      },
      {
        "link": "https://www.linkedin.com/company/microsoft?trk=similar-pages",
        "name": "Microsoft"
      },
      {
        "link": "https://www.linkedin.com/company/the-walt-disney-company?trk=similar-pages",
        "name": "The Walt Disney Company"
      },
      {
        "link": "https://www.linkedin.com/company/airbnb?trk=similar-pages",
        "name": "Airbnb"
      },
      {
        "link": "https://www.linkedin.com/company/warner-bros-discovery?trk=similar-pages",
        "name": "Warner Bros. Discovery"
      },
      {
        "link": "https://www.linkedin.com/company/tiktok?trk=similar-pages",
        "name": "TikTok"
      }
    ],
    "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"
      },
      {
        "link": "https://www.linkedin.com/in/suki996?trk=org-employees",
        "name": "Liz Thompson",
        "title": "Finance Ops & Innovation (Systems, Reporting & Analytics)",
        "image": "https://media.licdn.com/dms/image/v2/D5603AQGsHR0R5JpKHA/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1723703172354?e=2147483647&v=beta&t=L88QQS1cU02rvqpzNyuW6_P0LparOkVftaEEyi_XrwI"
      },
      {
        "link": "https://www.linkedin.com/in/lauren-thorpe?trk=org-employees",
        "name": "Lauren Thorpe",
        "image": "https://media.licdn.com/dms/image/v2/C5603AQEv1a_XdVd2_Q/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1663272882989?e=2147483647&v=beta&t=u7j491nClvWyjLzH2ee-aKbYFEnLsbcthtnCUPCBSPA"
      },
      {
        "link": "https://www.linkedin.com/in/robert-armstrong-28b19?trk=org-employees",
        "name": "Robert Armstrong",
        "image": "https://media.licdn.com/dms/image/v2/C4E03AQETpZtjtSFjDg/profile-displayphoto-shrink_100_100/profile-displayphoto-shrink_100_100/0/1516159873708?e=2147483647&v=beta&t=a7Dz4mZUejIo7FCQzk9tWMipbMWNbuvNC4MDmYahMIg"
      }
    ],
    "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": ""
  }
]

Note: Some fields may be empty strings or empty arrays if the data isn’t publicly visible (e.g., employees, specialties, posts, or similarPages).

Related tools

Category	Tool
Ads & posts	📣 LinkedIn Ads Scraper — https://apify.com/scraper-engine/linkedin-ads-scraper
Jobs	💼 LinkedIn Search Jobs Scraper — https://apify.com/scraper-engine/linkedin-search-jobs-scraper
People	👥 LinkedIn Company Employees Scraper — https://apify.com/scraper-engine/linkedin-company-employees-scraper
Posts	📰 LinkedIn Post Scraper — https://apify.com/scraper-engine/linkedin-post-scraper
Companies	🧭 LinkedIn Company About Scraper — https://apify.com/scraper-engine/linkedin-company-about-scraper
Profiles	🧑 LinkedIn Profile Scraper (Cheapest + Fastest) — https://apify.com/scraper-engine/linkedin-profile-scraper-cheapst-fastest

FAQ

Is there a free tier or trial?

Yes. You can run the actor on Apify with platform trial minutes and export results from the dataset. For ongoing use, select a plan that fits your volume.

Do I need to log in or add cookies?

No. This LinkedIn company page scraper targets publicly available pages and has no login or cookie parameters. It uses HTTP requests and adaptive proxying for access.

Can it scrape LinkedIn Sales Navigator or Recruiter?

No. This tool focuses on public company pages and does not support Sales Navigator or Recruiter. Accessing those may carry legal/ToS risk—consult your legal team.

How many URLs can I run?

The actor uses a Request Queue with deduplication and processes URLs in batches with retries, making it suitable for small to large lists. Throughput depends on your runtime and proxy strategy.

What happens if LinkedIn blocks my requests?

The actor detects common block statuses and automatically falls back to Apify Residential proxies, then continues using them for resilience.

Which fields are included in the output?

You’ll receive inputUrl, success, name, description, location, employeeCount, website, logo, slogan, industry, size, founded, headquarters, type, specialties, similarPages, employees, posts, and error. Some arrays may be partial based on public visibility.

Can I export CSV or Excel?

Yes. Open the run’s dataset in Apify and export to JSON, CSV, or Excel, or fetch the data via the Dataset API for downstream automation.

How do developers integrate this into pipelines?

Use Apify’s Dataset and Key-Value Store APIs to pull results into your Python/Node workflows, making it easy to build a LinkedIn company data extractor for enrichment or analytics.

Final thoughts

Linkedin Company Profile Scraper is built to extract public LinkedIn company data reliably and at scale. It delivers clean firmographic details, post snippets, and related entities you can use for enrichment, research, and analytics. Whether you’re in sales, marketing, data analysis, or research, you can scrape LinkedIn company profiles, export to CSV/JSON/Excel, and wire the results into your systems via API. Start extracting smarter with a resilient, production-ready LinkedIn company page data extraction workflow.