🚀 LinkedIn Company Scraper

🚀 LinkedIn Company Scraper

The 🚀 LinkedIn Company Scraper is a fast, reliable LinkedIn company data extractor that collects structured, public information from LinkedIn company pages and returns clean JSON for enrichment, analytics, and research. Built for teams who need to scrape LinkedIn company profiles at scale, it solves the challenge of consistent, normalized B2B data by extracting organization details from JSON-LD + HTML and streaming results to your Apify Dataset in real time. Ideal for marketers, developers, data analysts, and researchers, this LinkedIn company scraper tool enables automated LinkedIn business data scraping across batches of company URLs with resilient proxy handling.

What data / output can you get?

Below are the exact output fields the actor saves to the dataset for each company page URL.

Data type	Description	Example value
inputUrl	The LinkedIn company page URL that was processed	https://www.linkedin.com/company/netflix/
success	Indicates whether the scrape succeeded for this URL	true
name	Company display name	Netflix
description	Company “About” text extracted from JSON-LD	Netflix is one of the world's leading entertainment services...
website	Website from JSON-LD “sameAs”	https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin
logo	Logo URL from JSON-LD	https://media.licdn.com/.../netflix_logo?...
slogan	Company slogan when available	Play, pause, and resume watching anytime and anywhere.
industry	Industry extracted from About details	Entertainment Providers
size	Company size shown on the page	10,001+ employees
employeeCount	Numeric employee count from JSON-LD (when present)	17554
founded	Year founded (parsed from About)	1997
headquarters	Headquarters text from About	Los Gatos, CA
type	Organization type from About	Public Company
location	Location object with city, state, country	{"city":"Los Gatos","state":"CA","country":"US"}
specialties	Array of specialties from About	["Revolutionizing the way people watch TV shows and movies!"]
similarPages	Array of related orgs (link, name, image when available)	[{"link":"https://www.linkedin.com/company/google?trk=similar-pages","name":"Google"}]
employees	Sample public employees (link, name, title, image when available)	[{"link":"https://www.linkedin.com/in/aaronhipple?trk=org-employees","name":"Aaron Hipple","title":"Audio Software Engineer"}]
posts	Sample public posts (url, datePublished, text)	[{"url":"https://www.linkedin.com/posts/netflix_...","datePublished":"2025-09-24T15:00:15.442Z","text":"At the Venice Film Festival 2025..."}]
error	Error message for failed URLs, otherwise empty string	""

Notes:

• Results are saved to your Apify Dataset, where you can export to JSON, CSV, Excel, or XML.
• Some fields may be empty when not publicly visible on the company page.

Key features

• 🔄 Live dataset writes per URL Real-time saves via Actor.pushData ensure each company result is available immediately, even while others are still processing. Perfect for pipelines that consume streaming outputs.

• 🧭 JSON-LD + HTML extraction Dual parsing for higher coverage: organization basics are parsed from JSON-LD while About details, employees (sample), similar pages, and posts (sample) are extracted from HTML sections.

• 🛡️ Smart proxy fallback Starts with your direct connection or custom proxy, and if blocked (403/407/429/999 or authwall), it smoothly switches to Apify Residential to keep results flowing. Fully automatic.

• ♻️ Resilient retries & backoff Built-in retries with exponential backoff and robust error handling reduce transient failures and increase success rates for bulk LinkedIn company scraper runs.

• ⚡ Concurrency control Efficient async processing with bounded concurrency provides a stable bulk LinkedIn company scraper experience for larger URL lists.

• 📤 Export-ready schema Clean, normalized JSON output makes it simple to export LinkedIn company data to CSV/JSON/Excel from the Dataset and load into CRMs, BI tools, or data warehouses.

• 👨‍💻 Developer-friendly Access your results via the Apify API, schedule runs, or integrate with your own LinkedIn company scraper API workflows, Python scripts, and automation tools.

• 🧩 Works without extensions This is a backend LinkedIn organization scraper, not a Chrome extension. It’s easier to automate, scale, and integrate than browser-based tools.

• 🔍 Public-data focus Designed for public LinkedIn company page scraping and structured enrichment — a safe alternative to brittle, manual approaches.

How to use 🚀 LinkedIn Company Scraper - step by step

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

2. Open the actor
   Find “🚀 LinkedIn Company 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 list (e.g., https://www.linkedin.com/company/netflix/).

4. (Optional) Configure proxy
   Leave proxy empty to start direct, or select a custom proxy in the proxy field. The actor will automatically fall back to Apify Residential if blocked.

5. Start the run
   Click Start. The actor fetches each URL, parses JSON-LD + HTML, and pushes results to the Dataset in real time.

6. Monitor progress
   Open the Dataset tab during the run to see records appear per processed URL. Check the Log for any proxy fallbacks or retries.

7. Export your data
   From the Dataset, export in JSON, CSV, Excel, or XML for use in CRMs, analytics, or enrichment workflows.

Pro Tip: Use the Apify API to pull your dataset programmatically and plug the LinkedIn company scraper tool into ETL pipelines or dashboards.

Use cases

Use case name	Description
Sales intelligence + account enrichment	Enrich accounts with industry, company size, HQ, and specialties to prioritize outreach and improve ICP scoring.
Recruiting research + outreach prep	Validate company size, locations, and recent public posts to tailor recruiting messages and timing.
Competitive analysis + positioning	Track taglines, About narratives, and similar companies for competitive mapping and messaging.
Content & SEO + programmatic pages	Use industries, specialties, and HQ details to build structured pages and inform content strategy.
Partnerships & BD + due diligence	Confirm org type, founding year, and headquarters for quick partner vetting and research.
Market research + segmentation	Aggregate employee counts, industries, and locations across cohorts for insights and benchmarking.
Developer pipeline + API export	Feed normalized JSON into your LinkedIn company scraper API workflows for automated enrichment and BI.

Why choose 🚀 LinkedIn Company Scraper?

Built for precision, automation, and reliability — this LinkedIn company page scraper beats manual tools and extensions for scale and consistency.

• 🧠 Accurate extraction from JSON-LD + HTML for higher coverage and cleaner data
• ⚙️ Automatic proxy fallback to Apify Residential when blocked — fewer failed pages
• 🚚 Real-time dataset writes per URL for streaming and incremental processing
• 🔁 Robust retries with exponential backoff to handle transient network issues
• 📦 Export-ready, normalized schema for painless CSV/JSON/Excel downloads
• 🔌 Developer access via Apify API for pipelines and internal integrations
• 🛡️ Public-data focus for safer, compliant LinkedIn company data enrichment

In short: a production-ready LinkedIn company info extractor vs. brittle browser extensions — faster at scale, easier to automate, and more dependable.

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

Yes — when used responsibly. This actor is designed to collect publicly available data from LinkedIn company pages and does not access private profiles or gated content.

Guidelines for compliant use:

• Only collect publicly visible company information; do not defeat access controls.
• Be aware of LinkedIn’s Terms of Service and your local laws (e.g., GDPR/CCPA).
• Use data for legitimate purposes such as analytics, research, or enrichment.
• Consult your legal team for edge cases or regulated workflows.

Input parameters & output format

Example JSON input

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

Parameters

• urls (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! ⚡
  • Required: Yes
  • Default: None (the UI may prefill with https://www.linkedin.com/company/netflix/)
• proxy (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! ✅
  • Required: No
  • Default: None

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://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:

• Many fields depend on public visibility and page structure. When data is not present, fields may be empty strings, zero, or empty arrays.

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 page scraper?

Yes. You can run the actor on Apify with trial credits and export small batches to evaluate quality. Limits apply based on your plan and usage.

Do I need to log in or use cookies to scrape LinkedIn company profiles?

No. This tool targets publicly available company pages and works without login or browser cookies. It’s designed as a backend LinkedIn company page scraper, not a browser-driven workflow.

Is this a LinkedIn company scraper Chrome extension?

No. It’s a server-side LinkedIn organization scraper that runs on Apify infrastructure. This makes it easier to scale, automate, and integrate than browser extensions.

Can I integrate the results with my stack or call it via API?

Yes. Use the Apify API to fetch your dataset in JSON or CSV, schedule runs, and wire this LinkedIn company scraper API into ETL jobs, dashboards, or CRM imports.

How well does it handle blocks and reliability at scale?

It retries with exponential backoff and automatically falls back to Apify Residential proxies when common block statuses occur. Results are streamed per URL to minimize lost work.

What company data can I export?

You can export names, descriptions, website, logo, slogan, industry, size, employeeCount, founded, headquarters, location, specialties, similarPages, employees (sample), posts (sample), and more — all in structured JSON or CSV from the Dataset.

Can it handle bulk lists of company URLs?

Yes. Provide a list of company page URLs in urls and the actor will process them asynchronously, writing normalized records to the Dataset as each completes.

Does it support LinkedIn company URL extractor workflows?

Yes. If you already have lists of LinkedIn company URLs, this actor functions as a LinkedIn company info extractor and LinkedIn company insights scraper to enrich those URLs with structured fields.

Final thoughts

The 🚀 LinkedIn Company Scraper is built for structured, reliable extraction of public LinkedIn company data at scale. With automatic proxy fallback, resilient retries, and real-time dataset writes, it helps sales, marketing, recruiting, and research teams export LinkedIn company data cleanly and consistently. Developers can connect through the Apify API to automate end-to-end workflows and enrichment pipelines. Start extracting smarter B2B insights from public LinkedIn company pages — with a fast, scalable, and production-ready LinkedIn company scraper tool.