LinkedIn Company Scraper

LinkedIn Company Scraper

The LinkedIn Company Scraper is a fast, reliable LinkedIn company profile scraper that collects structured, public company information from LinkedIn pages and delivers it in clean JSON for analytics, enrichment, and automation. It solves the hassle of manual copy-paste and inconsistent data by extracting consistent fields programmatically. Built for marketers, developers, data analysts, and researchers, this LinkedIn company data scraper scales from a handful of URLs to large batches with automatic retries and proxy fallback—so you can power B2B enrichment, market research, and reporting at scale.

What data / output can you get?

This actor normalizes every company page into a consistent schema and live-saves each processed URL to the Dataset. Below are the primary fields it returns.

Data type	Description	Example value
inputUrl	Source LinkedIn company URL that was processed	https://www.linkedin.com/company/netflix/
success	Indicates whether the scrape succeeded	true
name	Company name extracted from JSON-LD	Netflix
description	Public “About”/description text	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 from JSON-LD	https://media.licdn.com/.../netflix_logo
slogan	Tagline/slogan if available	Play, pause, and resume watching anytime and anywhere.
employeeCount	Employee count value from JSON-LD	17554
industry	Industry from the About section	Entertainment Providers
size	Company size range from the About section	10,001+ employees
founded	Founded year from the About section	1997
headquarters	Headquarters string from the About section	Los Gatos, CA
type	Organization type from the About section	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[]	List of specialties parsed from the About section	["Revolutionizing the way people watch TV shows and movies!"]
similarPages[]	Publicly visible similar pages (name, link, optional image)	[{"link":"https://www.linkedin.com/company/google?trk=similar-pages","name":"Google"}]
employees[]	Public “employees at” preview (link, name, optional 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[]	Recent post samples 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 if the URL failed after retries	""

Notes:

• Results are available in Apify Dataset and can be exported to CSV, JSON, or Excel. Perfect for teams building a LinkedIn company data extraction tool into CRMs, data warehouses, or BI dashboards.
• Bonus metadata includes nested objects and arrays (e.g., location, similarPages, employees, posts), making it a robust LinkedIn company information extractor.

Key features

• 🔎 Bold JSON-LD + HTML parsing (dual-source accuracy)
  Extracts organization facts from JSON-LD and enriches with About-section HTML for fields like industry, size, founded year, headquarters, and specialties. A precise LinkedIn organization data scraper for dependable outputs.

• ⚡ Live-saving per URL (faster feedback loops)
  Each company is pushed to the Dataset as soon as it’s processed, enabling you to validate results early and stream data into pipelines.

• 🛡️ Smart proxy fallback (residential when blocked)
  Starts with your proxy (or direct) and automatically switches to Apify Residential if it detects common block statuses (e.g., 403, 407, 429, 999 or authwall redirects). Keeps runs stable for large batches.

• 🔁 Automatic retries & backoff
  Handles transient HTTP errors and proxy hiccups with exponential backoff and multiple attempts per URL for higher success rates.

• 📦 Clean, normalized JSON schema
  Outputs consistent keys across pages—ideal for BI tools, Salesforce/HubSpot mappings, Google Sheets, and data warehouses. A reliable LinkedIn company details scraper for enrichment.

• 📤 Easy exports & API access
  Export results to CSV/JSON/Excel from the Dataset or pull them programmatically via Apify API. Great for developers wiring a LinkedIn company scraper Python workflow.

• 📈 Built for batch runs
  Feed many LinkedIn company page URLs at once and let the actor process them concurrently with safe limits. A practical LinkedIn business data scraper for scale.

• 🧩 Dataset views for quick QA
  Built-in “Overview” and “Full” dataset views make it easy to scan success flags, core fields, and detailed arrays (employees, posts, similar pages).

How to use LinkedIn Company Scraper - step by step

1. Create or log in to your Apify account.
2. Open the “LinkedIn Company Scraper” actor in the Apify platform.
3. Add input data: paste one or more LinkedIn company page URLs into the urls field (e.g., https://www.linkedin.com/company/netflix/).
4. (Optional) Configure proxy: leave blank to start direct, or select your own proxy. The actor will automatically fall back to Apify Residential if blocked.
5. Start the run: click Start to launch the scrape. You’ll see logs indicating attempts, proxy mode, and status updates.
6. Monitor progress: results are pushed to the Dataset in real time per URL.
7. Download results: export the Dataset in JSON, CSV, or Excel, or consume via the Apify API.

Pro Tip: Automate post-processing with the Apify API—pipe the normalized dataset into your CRM, data warehouse, or a Python/Node pipeline to scrape LinkedIn company profiles at scale.

Use cases

Use case name	Description
Sales & SDR enrichment	Enrich accounts with industry, size, HQ, and specialties to improve ICP scoring and personalize outreach.
Recruiting research	Validate headcount signals, locations, and recent posts to tailor messages and prioritize targets.
Competitive tracking	Monitor taglines, positioning, public updates, and similar companies for fast-moving competitive intel.
Programmatic SEO	Build templated pages and content using industries, locations, and specialties from clean LinkedIn company data.
Market research & analytics	Aggregate company descriptions, sizes, and regions to analyze categories and geographies.
Data engineering pipeline	Use the Apify API to stream JSON into warehouses and ETL jobs for firmographic datasets.
Partnership due diligence	Confirm company type, founded year, and HQ details during evaluations.

Why choose LinkedIn Company Scraper?

This production-ready LinkedIn company scraping software pairs precision parsing with resilient networking to deliver trustworthy, structured company data.

• 🎯 Precision parsing: Combines JSON-LD with HTML About data for broader coverage and cleaner values.
• 🧱 Reliability under load: Automatic retries, exponential backoff, and residential proxy fallback when needed.
• 📊 Analytics-ready outputs: Normalized schema that’s easy to map into CRMs, BI tools, or spreadsheets.
• 🚀 Scale without fuss: Feed many URLs and let the actor process batches with bounded concurrency.
• 🔌 Developer friendly: Pull datasets via the Apify API and wire into your LinkedIn company data extraction tool or Python pipelines.
• 🛡️ Public-data focused: Scrapes publicly available company pages without login or cookies.
• 💸 Better than extensions: Avoid unstable, manual browser extensions—use a backend LinkedIn company page scraper built for automation.

In short, it’s a dependable LinkedIn company information extractor that outperforms brittle, browser-based alternatives.

Is it legal / ethical to use LinkedIn Company Scraper?

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

Guidelines for compliant use:

• Collect only publicly visible information; do not bypass access controls or scrape behind auth walls.
• Respect LinkedIn’s terms, robots directives, and applicable laws (e.g., GDPR/CCPA).
• Use data for legitimate purposes (analytics, research, enrichment) and offer deletion paths where applicable.
• Verify your specific use case with your legal team.

Input parameters & output format

Input JSON

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

Field	Type	Description	Default	Required
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
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! ✅	—	No

Output JSON

Each processed URL yields one object with the following fields:

[
  {
    "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",
    "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/microsoft?trk=similar-pages",
        "name": "Microsoft"
      }
    ],
    "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"
      }
    ],
    "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:

• Some nested fields are optional and may be empty or omitted depending on public page content (e.g., slogan, specialties, employees, posts).
• Export your dataset as CSV/JSON/Excel or consume via the Apify API for downstream automation.

FAQ

Do I need to log in or provide cookies to use this?

No. This LinkedIn company page scraper targets publicly available company pages and does not require login or cookies.

Can I export results as CSV or JSON?

Yes. All results are saved to the Apify Dataset, where you can download CSV, JSON, or Excel, or access them via API.

How many company pages can I process in one run?

You can submit many URLs in the urls array. The actor processes them with bounded concurrency and live-saves each result to the Dataset, making it a practical LinkedIn company list scraper for batch jobs.

What happens if LinkedIn blocks my requests?

The actor automatically retries with exponential backoff and will smoothly switch to Apify Residential proxies if it detects common block statuses (e.g., 403, 407, 429, 999 or authwall redirects).

Which fields does the scraper return?

It returns a normalized JSON structure including inputUrl, success, name, description, location {city, state, country}, employeeCount, website, logo, slogan, industry, size, founded, headquarters, type, specialties[], similarPages[], employees[], posts[], and error.

Is this suitable for developers building pipelines?

Yes. Developers can consume the Dataset via the Apify API and integrate it with internal ETL, a LinkedIn company scraper Python script, or BI tooling—ideal for automated LinkedIn company data extraction.

Can it scrape employees or posts?

It collects publicly visible preview items: employees[] (sample) and posts[] (sample) when available, acting as a lightweight LinkedIn company employees scraper for public previews.

Is it legal to scrape LinkedIn company data?

Yes, when you scrape publicly available information and comply with LinkedIn’s terms and applicable laws. Avoid bypassing access controls and consult your legal team for your specific use case.

Closing thoughts

The LinkedIn Company Scraper is built to extract clean, structured company intelligence from public LinkedIn pages—fast and reliably. With dual-source parsing, resilient proxy fallback, and normalized outputs, it’s ideal for sales, marketing, research, and data engineering teams. Developers can automate exports via the Apify API and plug results into Python pipelines or BI tools. Start extracting smarter firmographic insights with a scalable LinkedIn company data scraper that’s ready for production.