🚀 LinkedIn Company Scraper

🚀 LinkedIn Company Scraper

The 🚀 LinkedIn Company Scraper is a fast, production-ready LinkedIn company profile scraper that turns public company pages into clean, structured JSON for B2B enrichment and analysis. It eliminates manual copy-paste by converting each LinkedIn URL into a normalized record you can use in CRMs, analytics, or research—ideal as a LinkedIn company data scraper and LinkedIn business data extractor. Built for marketers, developers, data analysts, and researchers, it live-saves results per URL and keeps going even under blocks, enabling reliable, at-scale LinkedIn company data extraction for firmographic and content insights.

What data / output can you get?

Below are real output field names as they appear in the dataset. Each row represents one input company URL.

Data type	Description	Example value
inputUrl	The LinkedIn company page that was processed	https://www.linkedin.com/company/netflix/
success	Indicates if the scrape for this URL succeeded	true
name	Company name extracted from JSON-LD	Netflix
description	Company description/about text	Netflix is one of the world's leading entertainment services…
website	Official 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	Company tagline or slogan (if present)	Play, pause, and resume watching anytime and anywhere.
industry	Industry label parsed from the About section	Entertainment Providers
size	Employee range shown on the page	10,001+ employees
employeeCount	Parsed number of employees (JSON-LD)	17554
founded	Founded year (int or string fallback)	1997
headquarters	Headquarters text from About details	Los Gatos, CA
type	Organization type (e.g., Public Company)	Public Company
location.city	City parsed from JSON-LD address	Los Gatos
location.state	State/region parsed from JSON-LD address	CA
location.country	Country code parsed from JSON-LD address	US
specialties	Array of specialties/keywords	["Revolutionizing the way people watch TV shows and movies!"]
similarPages	List of similar company pages (name, link, image if present)	[{"link":"https://www.linkedin.com/company/google?trk=similar-pages","name":"Google"}]
employees	Public “Employees at” sample (name, title, link, image if present)	[{"link":"https://www.linkedin.com/in/aaronhipple?trk=org-employees","name":"Aaron Hipple","title":"Audio Software Engineer"}]
posts	Recent posts sample from JSON-LD (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 when a URL fails after retries	""

Notes:

• Bonus outputs include media links (logo) and network metadata (similarPages). Employees and posts are limited samples.
• Export your dataset to JSON, CSV, or Excel directly from Apify once the run finishes.

Key features

• ⚡ Bold proxy resilience & fallback: Starts with your proxy (or direct) and smoothly switches to Apify Residential if LinkedIn returns block signals (403/407/429/999 or authwall redirects). Keeps using Residential to ensure success on tough pages.
• 💾 Live dataset saves per URL: Each company URL is pushed to the Dataset as soon as it’s processed—perfect for long lists, incremental pipelines, and LinkedIn company list scraper use cases.
• 🧠 Hybrid JSON-LD + HTML parsing: Combines JSON-LD with targeted HTML parsing to produce accurate firmographic fields, people previews, posts, and similar pages.
• 🔒 Public data only, no login required: A LinkedIn company profile scraper that focuses on publicly available information—no cookies or account needed.
• 🔁 Retries with backoff: Automatic retries, block detection, and exponential backoff for reliability on challenging pages.
• 🧱 Developer-friendly schema: Clean, predictable keys that fit CRMs, warehouses, notebooks, and automation workflows.
• 📤 Easy exports & API access: Pull structured results from the Apify Dataset (JSON/CSV/Excel) or via API to power a LinkedIn company data scraper pipeline.

How to use 🚀 LinkedIn Company Scraper - step by step

1. Sign up or log in to Apify.
2. Open the “🚀 LinkedIn Company Scraper” actor in the Apify Store.
3. Paste your LinkedIn company page URLs into the urls field (one per line).
4. (Optional) Configure Proxy in the proxy field using the built-in editor. If you start direct and get blocked, the actor automatically switches to Apify Residential.
5. Click Start to run. The actor fetches each URL, parses the page, and normalizes the data.
6. Watch progress in the console; each finished URL is live-saved to the Dataset immediately.
7. Download your results from the Dataset in JSON, CSV, or Excel—or fetch via API for automation.

Pro Tip: Feed bulk company URLs to build a repeatable LinkedIn company data extraction tool for enrichment, dashboards, and downstream pipelines.

Use cases

Use case name	Description
Sales ops + account enrichment	Enrich accounts with name, industry, size, headquarters, and specialties to power ICP scoring and outreach.
Recruiting research	Validate public headcounts, locations, and recent posts to tailor candidate messaging.
Competitive intelligence	Track taglines, industries, and similar pages to map competitive clusters and positioning.
Content & SEO pipelines	Mine posts and specialties to feed programmatic content and category pages across regions.
Market research dashboards	Aggregate firmographic snapshots by industry or geography for trend analysis.
Data engineering (API pipeline)	Use the normalized JSON as a source in ETL/ELT workflows for LinkedIn business data extractor pipelines.
Academic & policy studies	Analyze industries and locations with a reliable LinkedIn organization data extractor for public data.

Why choose 🚀 LinkedIn Company Scraper?

Purpose-built for precision, automation, and reliability, this LinkedIn company data extraction tool outperforms browser extensions and unstable scripts.

• 🎯 Precision via JSON-LD + HTML: Clean, analytics-ready fields from public company pages with a LinkedIn company profile scraper engineered for accuracy.
• ⚡ Reliable at scale: Automatic block detection, retries, exponential backoff, and Residential fallback keep large runs on track.
• 📦 Structured and export-ready: Stable schema that maps directly into CRMs, data warehouses, spreadsheets, and BI.
• 🧑‍💻 Developer access: Pull results via Apify APIs to integrate with Python, notebooks, and automation flows.
• 🛡️ Public-only and compliant by design: Focuses on publicly available information; no login or private data.
• 💰 Cost-effective operations: Avoid brittle extensions; run on robust infrastructure with clear dataset exports.
• 🔌 Built for workflows: Ideal for B2B LinkedIn company scraper use cases, from enrichment to research and automation.

Summary: A production-grade LinkedIn company data scraper that delivers resilient proxy handling, clean output, and dependable runs at scale.

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

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

Guidelines:

• Collect public company data only; do not try to bypass access controls.
• Follow LinkedIn’s terms and applicable laws (e.g., GDPR/CCPA).
• Use results for legitimate purposes such as analytics, research, and enrichment.
• Review compliance with your legal team for your specific jurisdiction and use case.

Input parameters & output format

Example JSON input

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

Parameters

• urls (array of string) — 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.
• proxy (object) — 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://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:

• Missing public fields return empty strings, 0, or empty arrays (e.g., slogan, specialties, employees, posts) depending on availability.
• Items are pushed as they’re processed, so partial results appear in the Dataset during the run.

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 trial for this LinkedIn company data scraper?

Yes. Apify offers trial minutes you can use to test the actor. Start with a small list of URLs and evaluate the output and performance before scaling.

Do I need to log in or provide cookies?

No. This LinkedIn company profile scraper works with publicly available pages and does not require login or cookies. It focuses on public company information only.

Can I integrate the results into my Python or data pipeline?

Yes. You can fetch the Dataset via Apify API and process it with Python or other tools. This makes it a practical LinkedIn company data extraction tool for automated workflows.

How many company profiles can I scrape in one run?

You can provide a list of URLs, and the actor will process each independently with live dataset saves. Overall throughput depends on your input size and platform resources.

What data types are included in the output?

The actor returns firmographic fields (name, industry, size, type, founded), location, website, logo, specialties, a sample of employees and posts, similar pages, and an error message if something goes wrong.

How does the proxy fallback work?

If requests are blocked or redirected to an authwall, the actor automatically falls back to Apify Residential and continues using it to complete the run reliably.

Can I export results to CSV or Excel?

Yes. After the run, open the Dataset and export to JSON, CSV, or Excel—ideal for CRM uploads and analysis.

Is it legal to scrape LinkedIn company profiles?

Yes—when you only collect public information and comply with LinkedIn’s terms and applicable regulations. Always verify your specific use case with your legal team.

Final thoughts

The 🚀 LinkedIn Company Scraper is built for structured, reliable extraction of public LinkedIn company profiles at scale. With resilient proxy handling, clean JSON output, and live-saving per URL, it’s ideal for sales enrichment, research, and automation. Marketers, developers, analysts, and researchers can export to CSV/JSON/Excel or pull via API to power downstream systems. Start automating your LinkedIn company data extraction and build smarter B2B datasets today.