🚀 LinkedIn Company Scraper

🚀 LinkedIn Company Scraper

The 🚀 LinkedIn Company Scraper is a fast, stealthy LinkedIn company page scraper that extracts structured, public company data from LinkedIn into clean JSON for B2B enrichment, analytics, and lead generation. It solves the pain of manual copy-paste and brittle browser extensions by reliably parsing JSON-LD + HTML from public pages, making it a dependable LinkedIn company profile extractor and LinkedIn company information extractor for sales teams, marketers, data analysts, and researchers. With automatic proxy fallback and live dataset writes, it enables scalable, hands-off company data collection for your pipelines.

What data / output can you get?

Below are the exact output fields pushed to the Apify dataset by the actor. Results export cleanly to JSON, CSV, or Excel from the dataset.

Data type	Description	Example value
inputUrl	The LinkedIn company page URL that was processed	https://www.linkedin.com/company/netflix/
success	Scrape status per URL	true
name	Company display name	Netflix
description	Company “About” summary	Netflix is one of the world's leading entertainment services…
website	Company website (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	Slogan/strapline when present	Play, pause, and resume watching anytime and anywhere.
industry	Industry label (About section)	Entertainment Providers
size	Company size text (About section)	10,001+ employees
employeeCount	Number of employees (from JSON-LD)	17554
headquarters	Headquarters text (About section)	Los Gatos, CA
founded	Founded year (About section)	1997
type	Organization type (About section)	Public Company
location.city	City extracted from JSON-LD address	Los Gatos
location.state	Region/state from JSON-LD address	CA
location.country	Country code from JSON-LD address	US
specialties	Array of specialties parsed from About section	["Revolutionizing the way people watch TV shows and movies!"]
similarPages	Array of related pages with link/name/image when public	[{"link":"https://www.linkedin.com/company/apple?trk=similar-pages","name":"Apple"}]
employees	Public sample (up to 10) with link/name/title/image	[{"link":"https://www.linkedin.com/in/aaronhipple?trk=org-employees","name":"Aaron Hipple","title":"Audio Software Engineer","image":"https://media.licdn.com/..."}]
posts	Public posts sample (up to 10) 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…"}]
error	Error message if a URL fails after retries	""

Bonus: The scraper also returns a nested location object and arrays for similar pages, employees (sample), and posts (sample), making it a practical LinkedIn firmographic data scraper and LinkedIn B2B data scraper.

Key features

• 🕵️ Stealthy proxy fallback Automatically starts direct or with your custom proxy and smoothly switches to Apify Residential if blocked (e.g., 403/407/429/999 or authwall redirects). This boosts reliability for any LinkedIn business scraper tool.

• ⚡ Live dataset writes per URL Results are pushed to the Apify dataset as soon as a URL completes, so you can stream outputs into your workflows without waiting for the whole run.

• 🧭 JSON-LD + HTML parsing Combines JSON-LD Organization data with About-section HTML to produce a normalized, analytics-ready schema (name, industry, size, founded, headquarters, specialties, and more).

• 👥 People & posts preview Collects a public sample of employees and recent posts where available—handy for a lightweight LinkedIn company employees scraper and content analysis.

• 📦 Clean, consistent outputs Normalized keys like inputUrl, success, name, description, website, logo, industry, size, employeeCount, headquarters, type, specialties, similarPages, employees, posts, error for dependable downstream use.

• 🔁 Resilient by design Built-in retries with exponential backoff, HTTP/2 client, and robust error handling reduce flakes vs. a LinkedIn company scraper Chrome extension approach.

• 🔌 Integration-ready Export from the Apify dataset as JSON/CSV/Excel and consume via the Apify API in your pipelines—ideal for a LinkedIn company data enrichment tool or LinkedIn company scraper Python workflow.

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
   Find “🚀 LinkedIn Company Scraper” in the Apify Store.

3. Add input URLs
   Paste one or more public LinkedIn company page URLs into input.urls (slug-style URLs work great, e.g., https://www.linkedin.com/company/microsoft/).

4. (Optional) Configure proxy
   Provide input.proxy to start with your proxy setup. If a request is blocked, the actor automatically falls back to Apify Residential.

5. Start the run
   Click Start. The actor fetches each URL, parses JSON-LD + HTML, and live-saves normalized results to the Dataset.

6. Monitor progress
   Track logs to see attempts, proxy mode switches, and per-URL status.

7. Export results
   Open the run’s Dataset and download as JSON, CSV, or Excel—or pull via the Apify API into your CRM or warehouse.

Pro tip: Use the Apify API to wire this LinkedIn company data scraper into a recurring enrichment job or a Python pipeline for large company lists.

Use cases

Use case name	Description
Sales/SDR – account enrichment	Enrich target accounts with industry, size, HQ, and specialties to improve ICP scoring and personalization using a LinkedIn company lead generation scraper.
Marketing – competitor tracking	Monitor positioning, taglines, and similar pages for ongoing market intelligence with a LinkedIn company page scraper.
Recruiting – employer insights	Validate headcount, locations, and recent posts to tailor outreach.
Data ops – CRM hygiene	Normalize firmographic fields across records using consistent JSON keys for easier ETL and analytics.
Research – academic/analyst	Collect structured, public company profiles for studies, trend analysis, and datasets.
Dev pipelines – API ingestion	Automate ingestion from the Apify Dataset/API into Python jobs or warehouses as a LinkedIn company list scraper workflow.

Why choose 🚀 LinkedIn Company Scraper?

This tool prioritizes reliability and clean, structured outputs over fragile browser-based scraping.

• 🎯 Precision parsing: Combines JSON-LD + HTML for robust, normalized firmographics.
• 🛡️ Built-in resilience: Automatic fallback to Apify Residential proxies when blocked.
• ⚙️ Production-ready: Async HTTP/2 client, retries with exponential backoff, and clear logging.
• 🔄 Real-time saves: Pushes each URL’s result to the dataset immediately—no waiting.
• 🧰 Developer-friendly: Easy exports and API access for LinkedIn company scraper Python workflows.
• ✅ Public-only focus: Designed for public LinkedIn company pages and ethical use.
• 💸 Cost-effective at scale: Run large batches with low maintenance and consistent outputs—no flaky extensions.

Bottom line: If you need a stable LinkedIn company data scraper and LinkedIn company profile extractor for enrichment and analytics, this actor delivers.

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

Yes—when done responsibly. This actor is designed for publicly available LinkedIn company pages and does not access private profiles or gated data.

Guidelines to follow:

• Collect public company information only and avoid defeating access controls.
• Respect LinkedIn’s Terms of Service and applicable laws (e.g., GDPR/CCPA).
• Use the data for legitimate purposes such as analytics, research, and enrichment.
• Consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Input JSON example

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

Parameters

• urls (array of string)
  • 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 (prefill example available in the UI)
• 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

Output JSON example

[
  {
    "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"
      },
      {
        "link": "https://www.linkedin.com/company/apple?trk=similar-pages",
        "name": "Apple"
      }
    ],
    "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"
      }
    ],
    "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..."
      },
      {
        "url": "https://www.linkedin.com/posts/netflix_at-the-ibc-conference-netflixs-victor-marti-activity-7376315014845976577-DnUe",
        "datePublished": "2025-09-23T18:02:24.816Z",
        "text": "At the IBC Conference, Netflix's Victor Marti Farres and VANCOUVER MEDIA SL's Miguel Amoedo showcased..."
      }
    ],
    "error": ""
  }
]

Notes:

• Arrays (specialties, similarPages, employees, posts) may be empty if not publicly visible.
• The actor saves one output item per input URL as soon as it finishes processing.

FAQ

Do I need to log in or provide cookies?

No. This actor is designed for public LinkedIn company pages and does not require login. It parses public JSON-LD and HTML to extract firmographic fields.

What happens if LinkedIn blocks my requests?

The actor automatically falls back to Apify Residential proxies when it detects blocks like 403/407/429/999 or authwall redirects. It will retry with exponential backoff and save an error row only if all attempts fail.

Can I use my own proxy?

Yes. Provide a proxy configuration via the input.proxy field. The run will start with your proxy; on block, it will smoothly switch to Apify Residential to ensure success.

Which fields does it return?

It outputs inputUrl, success, name, description, location (city/state/country), employeeCount, website, logo, slogan, industry, size, founded, headquarters, type, specialties, similarPages, employees, posts, and error.

How fast are results available?

Results are live-saved per URL to the Dataset as soon as they complete. You can begin exporting or consuming via the Apify API while the run is still in progress.

Can I export to CSV or Excel?

Yes. Open the run’s Dataset and export results to JSON, CSV, or Excel, or query the dataset via the Apify API for programmatic access.

Is this suitable for Python pipelines?

Yes. Many teams pull the dataset via the Apify API into Python for ETL and enrichment, making it a practical LinkedIn company scraper Python workflow component.

Does this scrape employees and posts?

It returns a limited public sample of employees and recent posts when they’re available on the public company page, making it useful as a lightweight LinkedIn company employees scraper and content snapshot tool.

Closing CTA / Final thoughts

The 🚀 LinkedIn Company Scraper is built to extract structured, public company data from LinkedIn reliably and at scale. With proxy fallback, resilient retries, and clean, normalized outputs, it’s ideal for sales, marketing, research, and data teams.

Get started by pasting your company URLs, let the actor live-save results per URL, and export to JSON/CSV/Excel or pull via API. Developers can drop it into Python pipelines for continuous B2B enrichment. Start extracting smarter firmographics and insights from public LinkedIn company profiles today.