LinkedIn Company Scraper

LinkedIn Company Scraper

The LinkedIn Company Scraper is a fast, reliable LinkedIn company page scraper that collects public organization data from LinkedIn and outputs clean, structured JSON for analysis, enrichment, and automation. It solves the pain of manual copy-paste by extracting standardized fields from company profiles, making it ideal for sales teams, marketers, developers, data analysts, and researchers. At scale, this LinkedIn company data scraper lets you scrape LinkedIn company pages in bulk with proxy fallback and live-saving per URL — powering B2B enrichment, market research, and content pipelines.

What data / output can you get?

This LinkedIn company extractor returns normalized fields that match the dataset schema used by the actor. Below are key fields with examples from a real run.

Data type	Description	Example value
inputUrl	Source LinkedIn company page URL	https://www.linkedin.com/company/netflix/
success	Process status (true/false)	true
name	Company name	Netflix
description	Company overview text	“Netflix is one of the world's leading entertainment services...”
website	Official website from profile	https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin
logo	Company logo URL	https://media.licdn.com/.../netflix_logo?...
industry	Industry category	Entertainment Providers
employeeCount	Employees (from JSON-LD numberOfEmployees)	17554
size	LinkedIn employee range	10,001+ employees
founded	Founded year	1997
headquarters	Headquarters (About section)	Los Gatos, CA
type	Organization type	Public Company

Bonus outputs include:

• location (object): city, state, country
• specialties (array): e.g., “Revolutionizing the way people watch TV…”
• similarPages (array of objects): name, link, image (when present)
• employees (sample list): link, name, title, image
• posts (sample list): url, datePublished, text
• error (string): error details when a URL fails

You can export results from Apify in JSON, CSV, Excel, or XML for downstream use.

Key features

• 🔄 Bold proxy fallback logic Starts with your selected proxy (or DIRECT) and seamlessly falls back to Apify Residential on blocks (403/407/429/999 or authwall redirects) — then keeps Residential for stability.

• 🧱 Live-saving per URL Each company page is processed independently and pushed to the dataset as soon as it finishes, minimizing data loss and accelerating feedback loops.

• 📦 Normalized JSON output Clean, predictable fields (e.g., name, industry, employeeCount, size, founded, headquarters) suitable for CRMs, BI tools, and data warehouses.

• 🧠 JSON‑LD + HTML parsing Combines JSON-LD (for structured basics like numberOfEmployees, logo, address) with HTML scraping (About section details like industry, size, HQ, type, specialties).

• 🧰 Queue-based scale Uses Apify Request Queue with deduplication and configurable concurrency for batch processing of large URL lists in your LinkedIn company list scraper workflows.

• 🛡️ Resilient networking HTTP/2 client, robust headers, backoff, and retries — designed to reduce blocks and keep your LinkedIn business scraper runs stable.

• 🧪 Developer-friendly Access results via Apify Dataset and Key-Value Store APIs. Automate pipelines in Python or any HTTP-capable stack — perfect for a LinkedIn company data extraction tool.

• 🔗 Flexible exports Download datasets in JSON/CSV/Excel/XML or connect to your orchestration for continuous enrichment and reporting.

How to use LinkedIn Company Scraper - step by step

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

2. Open the actor
   Search for “LinkedIn Company Scraper” in the Apify Store.

3. Add input URLs
   Paste LinkedIn company page URLs into the urls field (one per line). Example: https://www.linkedin.com/company/netflix

4. (Optional) Configure proxy
   Use the proxy setting to start with a specific proxy. If blocked, the actor automatically switches to Apify Residential and keeps it.

5. Start the run
   Click Start. The scraper fetches each URL, parses JSON-LD + HTML, and pushes normalized rows to the dataset as they complete.

6. Monitor progress
   Check logs for live status. The request queue deduplicates URLs and the actor retries with exponential backoff on failures.

7. Export results
   Download the dataset in JSON, CSV, Excel, or XML, or access the full results array in the Key-Value Store under the OUTPUT key.

Pro Tip: Automate your LinkedIn company page scraper runs via the Apify API to feed CRMs, analytics, or programmatic SEO workflows.

Use cases

Use case name	Description
Sales/SDR – B2B enrichment	Enrich accounts with name, industry, size, HQ, and founded year to improve ICP scoring and personalization in outreach.
Recruiting – employer research	Validate headcount signals and locations to tailor recruiting messages and prioritize target companies.
Competitive intelligence – benchmarking	Track organizational positioning and similar pages for category mapping and landscape analysis.
Content & SEO – programmatic pages	Extract industries, specialties, and location data to build scalable landing pages and content hubs.
Market research – aggregation	Aggregate structured company attributes by region/industry for dashboards and datasets.
Data engineering – API pipeline	Use the dataset and OUTPUT export to power an automated LinkedIn company data scraper pipeline for internal apps.
Partnerships & due diligence	Confirm organization type, HQ, and founding year as part of lightweight diligence checks.

Why choose LinkedIn Company Scraper?

Built for precision, automation, and reliability, this LinkedIn company profiles scraper emphasizes clean extraction and resilient operations.

• 🎯 Accurate by design: JSON-LD + HTML parsing for reliable company basics and About section details.
• ⚡ Scales without chaos: Request Queue + concurrency to scrape LinkedIn company pages in bulk with automatic URL deduplication.
• 🔌 Developer access: Use Apify APIs to integrate this LinkedIn company extractor into pipelines and apps.
• 🛡️ Safety-first defaults: Focuses on publicly available data; robust proxy fallback reduces blocks.
• 💾 Structured results: Analytics-ready fields for CRMs, BI, and warehousing.
• 🧲 Better than extensions: No flaky browser environment — production-grade LinkedIn company page scraper infrastructure.

In short, it’s a production-ready LinkedIn organization scraper that outperforms unstable alternatives with normalized outputs and dependable runs.

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 profiles or gated content.

Compliance guidelines:

• Collect only public data; do not bypass access controls.
• Review and respect LinkedIn’s Terms of Service and applicable laws (e.g., GDPR/CCPA).
• Use data for legitimate purposes like analytics, research, and enrichment.
• Consult your legal team for edge cases or sensitive use cases.

Input parameters & output format

Example JSON input

{
  "urls": [
    "https://www.linkedin.com/company/netflix/"
  ]
}

Input fields

Field	Type	Description	Required	Default
urls	array of strings	List of public LinkedIn company page URLs to process. Each URL is scraped independently and saved to the dataset as soon as it finishes.	Yes	None (must provide at least 1)
proxy	object	Start with this proxy. If requests are blocked/rejected (e.g., 403/407/429/999 or authwall redirects), the actor switches to Apify Residential and keeps using it.	No	None (starts 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"
      }
    ],
    "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:

• posts and employees are returned as limited public samples (up to 10 each).
• similarPages may include image when present on the page.
• error contains details if a URL could not be processed (with success=false).

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]

Links:

• https://apify.com/scraper-engine/linkedin-ads-scraper
• https://apify.com/scraper-engine/linkedin-search-jobs-scraper
• https://apify.com/scraper-engine/linkedin-company-employees-scraper
• https://apify.com/scraper-engine/linkedin-post-scraper
• https://apify.com/scraper-engine/linkedin-company-about-scraper
• https://apify.com/scraper-engine/linkedin-profile-scraper-cheapst-fastest

FAQ

Do I need to log in or provide cookies?

No. This LinkedIn company page scraper targets public company pages and does not require login or cookies. It functions as a LinkedIn company data scraper without authentication.

How does the proxy fallback work?

The actor starts with your selected proxy (or DIRECT if none). If requests are blocked (e.g., 403/407/429/999) or redirected to an authwall, it switches to Apify Residential and keeps using it for the rest of the run.

What company data does it extract?

It extracts standardized fields including inputUrl, success, name, description, location (city/state/country), employeeCount, website, logo, slogan, industry, size, founded, headquarters, type, specialties, similarPages, employees (sample), posts (sample), and error — ideal for a LinkedIn company details scraper or LinkedIn company insights scraper workflow.

How many URLs can I process in one run?

You can feed large lists to this LinkedIn company list scraper. The actor uses Request Queue with deduplication and configurable concurrency, live-saves per URL, and retries with backoff for resilience.

Does it support Sales Navigator or Recruiter pages?

No. This LinkedIn business scraper is designed for public LinkedIn company pages, not gated products like Sales Navigator or Recruiter.

How are results saved and exported?

Each URL result is pushed to the Apify dataset as it completes, and the full results array is written to the Key-Value Store key OUTPUT. You can export datasets in JSON, CSV, Excel, or XML, or access them via the Apify API.

Are posts and employees fully scraped?

The actor returns public samples: up to 10 posts (via JSON-LD) and up to 10 employees from the page’s public “employees” section. Availability depends on what’s publicly visible.

Can developers integrate this into pipelines?

Yes. Use the Apify API to fetch dataset items or the OUTPUT JSON, making it easy to automate an end-to-end LinkedIn company extractor pipeline or integrate with internal tools.

Closing CTA / Final thoughts

The LinkedIn Company Scraper is built to extract clean, structured public company data from LinkedIn at scale. With proxy fallback, live-saves, and normalized fields, it’s a dependable LinkedIn company page scraper for sales, marketing, research, and data teams. Developers can plug results into APIs and pipelines to automate LinkedIn company data extraction end to end. Start extracting smarter with a production-ready LinkedIn organization scraper that’s accurate, resilient, and built for scale.