Linkedin Company Scraper

Linkedin Company Scraper

The Linkedin Company Scraper is a fast, reliable LinkedIn company page scraper tool that extracts structured data from public LinkedIn organization profiles and delivers it in clean JSON for analysis and enrichment. It solves the tedious, error-prone task of manual copy-paste by acting as a LinkedIn company data extractor that works at scale for B2B enrichment, market research, sales intelligence, and recruiting. Built for marketers, developers, data analysts, and researchers, this LinkedIn company profile scraper live-saves results per URL and enables repeatable, automated workflows across large lists of companies.

What data / output can you get?

Below are real output fields as they appear in the dataset. Values depend on what’s publicly visible on each LinkedIn business page.

Data field	Description	Example value
inputUrl	The input LinkedIn company page URL that was processed	https://www.linkedin.com/company/netflix/
success	Indicates whether the page was scraped successfully	true
name	Company name parsed from the LinkedIn profile	Netflix
description	About/overview text from the profile (when present)	Netflix is one of the world's leading entertainment services...
website	Company website captured via JSON-LD (sameAs)	https://jobs.netflix.com?utm_campaign=LIHomePage&utm_source=linkedin
logo	Logo URL from the page’s structured data	https://media.licdn.com/.../netflix_logo?...
employeeCount	Number of employees (if available in structured data)	17554
location	Nested object with city, state, country (from JSON-LD)	{"city":"Los Gatos","state":"CA","country":"US"}
industry	Industry label from the About section	Entertainment Providers
size	Company size as displayed on LinkedIn	10,001+ employees
founded	Founded year (normalized when parsable)	1997
headquarters	Headquarters location string (from About details)	Los Gatos, CA

Bonus arrays included when visible:

• specialties: Array of specialties parsed from the About section.
• similarPages: Array of related organizations with name and link.
• employees: Sample of publicly visible employee cards with link/name/title/image.
• posts: Sample of recent posts parsed from JSON-LD with url/datePublished/text.
• error: Error message string when a URL fails.

You can export results from the Apify Dataset in JSON or CSV for CRM uploads, BI, or pipeline integrations.

Key features

• ⚡️ Bold proxy fallback & stealth Automatically starts with your selected proxy (or direct) and smoothly switches to Apify Residential if requests are blocked (403/407/429/999 or authwall redirects). Keeps your LinkedIn company directory scraper flows resilient.

• 🟢 Live dataset saving per URL Each company URL is scraped independently and pushed immediately to the dataset as soon as it finishes, enabling rapid feedback and incremental exports.

• 🧠 Hybrid JSON‑LD + HTML extraction Combines structured JSON-LD with targeted HTML parsing to capture company basics, About details (industry, size, headquarters, type, founded, specialties), posts (sample), employees (sample), and similar pages.

• 📦 Clean, normalized JSON schema Outputs a consistent schema designed for analytics and enrichment. Ideal for CRM syncs and bulk LinkedIn company page data export processes.

• 📚 Batch scraping at scale Accepts a list of LinkedIn company page URLs and processes them with smart concurrency and backoff, making it a reliable bulk LinkedIn company data extractor.

• 🔌 Developer-friendly via API/SDK Runs on Apify infrastructure, callable via API, with SDK support for Python/JavaScript. Great for integrating a LinkedIn company data scraper API into data pipelines.

• 💾 Flexible exports Export datasets in JSON/CSV and plug into your BI stack, spreadsheets, or data warehouses—perfect for a LinkedIn company page data export workflow.

• 🛡️ Resilient retries & backoff Implements structured retries with exponential backoff and robust error handling, reducing flaky failures and stabilizing long-running jobs.

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.
3. Paste your LinkedIn company page URLs into the urls field (one per line). Example: https://www.linkedin.com/company/netflix/
4. (Optional) Configure Proxy configuration in the proxy field. You can start with your proxy; if blocked, the actor automatically falls back to Apify Residential to keep the run going.
5. Click Start. The scraper fetches each company page and live-saves structured results to the Dataset.
6. Watch the run logs for progress. Each URL is saved independently as it completes.
7. Export your results from the Dataset in JSON or CSV for analysis, enrichment, or downstream automations.

Pro tip: Trigger runs via the Apify API and connect the output to your internal data pipelines or automation tools to build a repeatable LinkedIn company page scraper workflow.

Use cases

Use case name	Description
Sales & SDR account enrichment	Enrich accounts with industry, size, headquarters, and specialties to improve ICP scoring and personalize outreach using a LinkedIn company scraper tool.
Recruiting research & outreach	Validate headcounts, locations, and recent posts to tailor recruiter messaging with a LinkedIn business page scraper.
Competitive intelligence tracking	Monitor taglines, positioning, and similar companies to map the landscape with a LinkedIn organization page scraper.
Programmatic SEO & content ops	Mine descriptions, specialties, and post themes to build programmatic pages and editorial angles using a LinkedIn company page scraper.
Partnerships & due diligence	Confirm company type, founded year, and headquarters for faster partner/investor evaluations.
Market research & analytics	Aggregate company attributes across regions and categories to analyze trends with a LinkedIn company directory scraper.
Data engineering pipelines	Orchestrate bulk LinkedIn company data extraction and push clean JSON into warehouses or ETL workflows.

Why choose Linkedin Company Scraper?

Built for precision and reliability, this LinkedIn company data scraping software combines structured extraction with production-ready resiliency.

• 🎯 Accuracy from JSON‑LD + HTML parsing for robust coverage of public fields
• 📈 Scales across lists of URLs with resilient retries and exponential backoff
• 🔌 Developer access via the Apify API/SDK for automation and CI-friendly runs
• 💾 Analytics-ready JSON that fits CRM enrichment and BI without cleanup
• 🛡️ Safety-first defaults: public pages only; automatic proxy fallback to minimize blocks
• 🔄 Better than browser extensions: no manual clicking, more stability, and reliable batching

Bottom line: A stable LinkedIn company page scraper that turns public profiles into structured, export-ready data for teams that value accuracy and scale.

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 or authenticated content.

Guidelines for compliant use:

• Collect only publicly visible organization data and avoid bypassing access controls.
• Respect LinkedIn’s Terms of Service and applicable data protection laws (e.g., GDPR/CCPA).
• Use the data for legitimate purposes like analysis, research, or enrichment.
• Consult your legal team for edge cases, sensitive jurisdictions, or non-public datasets.

Input parameters & output format

Example input

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

Parameters

• 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! Required: Yes. Default: None.
• proxy (object) — Proxy configuration. Starts with your proxy; on blocks (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 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"
      },
      {
        "link": "https://www.linkedin.com/company/amazon?trk=similar-pages",
        "name": "Amazon"
      }
    ],
    "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 like posts, employees, and similarPages are returned as samples from the public page. Counts vary by visibility and page structure.
• Fields may be empty strings or empty arrays if not publicly available.

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 tier or trial for this LinkedIn company data extractor?

Yes. You can run the actor on Apify with trial resources to evaluate performance and output before upgrading. Export options like JSON/CSV are available via the Apify Dataset.

Do I need to log in to LinkedIn or provide cookies?

No. The actor targets publicly available LinkedIn company pages and does not require login. It fetches HTML directly and parses public JSON-LD and page sections for data.

What kinds of data can this LinkedIn company page scraper return?

It outputs normalized fields including inputUrl, success, name, description, location (city/state/country), employeeCount, website, logo, slogan, industry, size, founded, headquarters, type, specialties, and arrays for similarPages, employees (sample), and posts (sample), plus error when applicable.

How many companies can I scrape in one run?

You can submit a list of URLs in the urls array. Each URL is processed independently and saved to the dataset as soon as it finishes, making it suitable for bulk LinkedIn company page scraping.

How does it handle blocks or authwalls?

If requests are blocked (e.g., 403/407/429/999 or authwall redirects), the actor automatically falls back to Apify Residential and continues. You can also start with your own proxy configuration.

Can I integrate this with my scripts or data pipelines?

Yes. It runs on Apify’s platform and can be triggered via API or SDKs, making it simple to embed a LinkedIn company data scraper API into Python/JavaScript workflows and ETL pipelines.

Can I export results to CSV or JSON?

Yes. All results are pushed to the Apify Dataset, which supports JSON and CSV exports for easy import into CRMs, spreadsheets, or data warehouses.

Is using a LinkedIn company scraper tool legal?

Yes—when scraping only public company information and complying with LinkedIn’s Terms of Service and applicable data protection laws. Always verify compliance with your legal team for your specific use case.

Closing CTA / Final thoughts

The Linkedin Company Scraper is built to turn public LinkedIn company pages into clean, structured data at scale. With automatic proxy fallback, live-saving per URL, and a normalized schema, it empowers sales, marketing, recruiting, and research teams to enrich CRMs, analyze markets, and automate B2B workflows.

Start with a list of company URLs, export JSON/CSV from the Dataset, and integrate via the Apify API for a developer-friendly, automated LinkedIn company page scraper pipeline. Begin extracting smarter company insights today and scale your analysis with confidence.