Linkedin Company About Scraper

Linkedin Company About Scraper

The Linkedin Company About Scraper is an Apify actor that extracts structured data from publicly available LinkedIn company About pages. It solves the manual copy-paste problem by turning company profiles into clean JSON records you can analyze or export. As a LinkedIn company profile scraper and LinkedIn company description scraper, it helps marketers, developers, data analysts, and researchers extract LinkedIn company About section data at scale for B2B enrichment and market intelligence.

What data / output can you get?

Using this LinkedIn company information extractor, you’ll receive a consistent JSON record per company with these fields:

Data type	Description	Example value
company_name	Company display name parsed from the LinkedIn page	Microsoft
linkedin_url	Canonical LinkedIn company URL	https://www.linkedin.com/company/microsoft
domain	Official external website (resolves LinkedIn redirectors/shorteners)	https://www.microsoft.com
category	Industry/category inferred from the profile	Information Technology & Services
number_employees	Company size range or employee count string	10,001+ employees
associated_members	“Associated members” (LinkedIn members who listed the company)	656,940
location	Headquarters or location label	Redmond, Washington, United States
description	About page summary/description	Microsoft Corporation is an American…
success	Boolean flag indicating successful extraction	true
scraped_at	ISO timestamp when the record was created	2026-04-15T10:22:31.123Z

Note: Data is stored in the Apify dataset, so you can export results in JSON, CSV, or Excel for downstream workflows.

Key features

• 🧭 Focused About-page extraction Extracts the core LinkedIn company About fields (name, website domain, industry/category, location, company size, associated members, description) for clean, analysis-ready output.

• 🧠 Headless-browser rendering for accuracy Uses a real Chromium browser via Playwright to reduce LinkedIn HTTP 999 blocks and capture dynamically rendered About data reliably.

• 🧰 Robust website resolution Follows LinkedIn’s external link redirector and common shorteners to resolve the company’s true website domain.

• 🔁 Retries and polite throttling Control stability with maxRetries and requestDelay. Random jitter is added automatically to mimic human behavior.

• 🛡️ Smart proxy handling with fallback Supports Apify Proxy and automatically falls back to a RESIDENTIAL group when blocked (403/429/999), improving success rates on public pages.

• 🗂️ Batch scraping for multiple companies Feed a list of LinkedIn company URLs or usernames; each input is normalized into a proper company URL and processed in sequence.

• 💾 Easy data export Results are pushed to the Apify dataset so you can download as JSON, CSV, or Excel and plug into your analytics or CRM.

• 👨‍💻 Developer-friendly Works seamlessly with the Apify API/SDK in your stack, making it a reliable LinkedIn company page data scraper for automation.

How to use Linkedin Company About Scraper - step by step

1. Create or log in to your Apify account.
2. Open the Linkedin Company About Scraper actor in the Apify platform.
3. In the input, paste your list into startUrls:
   • Accepts full LinkedIn company URLs (e.g., https://www.linkedin.com/company/microsoft)
   • Or plain usernames/handles (e.g., google), which are auto-converted to company URLs
4. (Optional) Configure proxyConfiguration:
   • Enable Apify Proxy if needed; the actor will auto-fallback to RESIDENTIAL if blocked
5. (Optional) Tune stability controls:
   • maxRetries to handle transient failures
   • requestDelay (seconds) to slow down between requests (random 0–1s added automatically)
6. Click Start to run the actor. A headless browser will fetch and parse each LinkedIn company About page.
7. When finished, open the Dataset tab to preview results and export as JSON, CSV, or Excel.

Pro tip: Use the Apify API to trigger runs and fetch datasets programmatically for a repeatable LinkedIn company profile data extractor workflow.

Use cases

Use case name	Description
Market research & competitor tracking	Analyze industry categories, company sizes, and locations to map markets and benchmark competitors.
B2B enrichment for sales	Enrich accounts with website, industry, and size to prioritize outreach and improve segmentation.
Recruitment & workforce insights	Identify company size ranges and locations to target sourcing and hiring strategies.
Academic & economic studies	Collect standardized company descriptions, sizes, and geographies for research datasets.
Data pipelines & APIs	Automate extraction via the Apify API and export structured JSON into your data lake or internal tools.
Product & partnership scouting	Filter prospects by category and size using this LinkedIn business profile scraper to shortlist candidates.

Why choose Linkedin Company About Scraper?

This specialized LinkedIn company overview scraper focuses on precision, resilience, and clean output for dependable automation.

• ⚡ Accurate extraction: Uses a real browser to capture dynamic About-page data consistently.
• 🔄 Scalable batching: Feed multiple URLs/usernames to build structured datasets fast.
• 👷 Developer access: Compatible with the Apify API/SDK for CI/CD pipelines and automations.
• 🛡️ Safe & public-only: Targets publicly available LinkedIn company pages; no login or cookies required.
• 🌐 Proxy-smart reliability: Supports Apify Proxy with automatic residential fallback when necessary.
• 💰 Cost-effective operations: Control retries and delays to balance speed and stability without overuse.
• 🔌 Easy downstream use: Export via the Apify dataset in common formats for analytics and CRM syncs.

Compared to fragile browser extensions or unstable scripts, this LinkedIn company data scraping tool is a production-ready LinkedIn company information extractor you can trust.

Is it legal / ethical to use Linkedin Company About Scraper?

Yes — when done responsibly. This actor is designed to extract publicly available information from LinkedIn company pages and does not access private or personal data.

Guidelines for compliant use:

• Scrape only publicly visible company information.
• Avoid collecting personal or private data fields.
• Ensure alignment with applicable regulations (e.g., GDPR, CCPA) and platform terms.
• Use the data responsibly for analysis and research, not for spam.
• Consult your legal team for edge cases or jurisdiction-specific questions.

Input parameters & output format

Example JSON input

{
  "startUrls": [
    "https://www.linkedin.com/company/microsoft",
    "google",
    "company/webflow"
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "maxRetries": 3,
  "requestDelay": 2
}

Input parameters

• startUrls (array of strings, required): List one or more LinkedIn company URLs (e.g., https://www.linkedin.com/company/company-name) or usernames (e.g., company-name). Default: none.
• proxyConfiguration (object, optional): Choose which proxies to use. If LinkedIn rejects the proxy, a residential proxy will be used as a fallback. Default: none (prefill useApifyProxy: false).
• maxRetries (integer, optional): Number of retry attempts for failed requests (1–5). Default: 3.
• requestDelay (integer, optional): Base delay between requests in seconds. Random 0–1s is added automatically (0–10). Default: 2.

Example JSON output

[
  {
    "company_name": "Microsoft",
    "linkedin_url": "https://www.linkedin.com/company/microsoft",
    "domain": "https://www.microsoft.com",
    "category": "Information Technology & Services",
    "number_employees": "10,001+ employees",
    "associated_members": "656,940",
    "location": "Redmond, Washington, United States",
    "description": "Microsoft Corporation is an American multinational technology company headquartered in Redmond, Washington.",
    "success": true,
    "scraped_at": "2026-04-15T10:22:31.123Z"
  },
  {
    "company_name": "Webflow",
    "linkedin_url": "https://www.linkedin.com/company/webflow",
    "domain": "https://webflow.com",
    "category": "Web Development",
    "number_employees": "501-1000 employees",
    "associated_members": "120,345",
    "location": "San Francisco, California, United States",
    "description": "Webflow provides a visual web development platform for building and launching responsive websites.",
    "success": true,
    "scraped_at": "2026-04-15T10:23:02.456Z"
  }
]

Notes:

• Output fields may be empty strings if a specific detail is not present on the public page.
• associated_members reflects “associated members” text where available and may be absent on some profiles.

FAQ

Is the Linkedin Company About Scraper free to use?

You can run this actor on Apify. Plans include trial minutes to test the workflow before committing to larger runs.

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

No. This tool targets publicly available LinkedIn company pages and operates without login or cookies.

What inputs does it accept?

Provide startUrls as an array of LinkedIn company URLs or usernames/handles. The actor normalizes each entry into a proper company URL before scraping.

What data fields does it return?

It outputs company_name, linkedin_url, domain, category, number_employees, associated_members, location, description, success, and scraped_at for each processed company.

How many companies can I scrape in one run?

You can include multiple entries in startUrls. Practical limits depend on your plan resources and run settings like maxRetries and requestDelay.

Does it support proxies and residential fallback?

Yes. You can enable Apify Proxy in proxyConfiguration. If blocked (e.g., 403/429/999), the actor automatically falls back to a RESIDENTIAL proxy group.

Can I integrate this with Python or an API?

Yes. As an Apify actor, it can be triggered via the Apify API and integrated into Python or other pipelines, making it a practical LinkedIn company page scraper Python workflow component.

Is it suitable for “extract LinkedIn company about section” use cases?

Yes. It’s a focused LinkedIn about us section scraper that extracts the About section details for use in B2B enrichment, research, and analytics.

Closing CTA / Final thoughts

The Linkedin Company About Scraper is built to turn public LinkedIn company About pages into structured, reliable data for analysis and automation. With headless-browser accuracy, proxy-smart resilience, and clean JSON output, it’s ideal for marketers, developers, analysts, and researchers who need a dependable LinkedIn company profile data extractor. Connect it to the Apify API for automated pipelines and start building data-rich workflows that scale. Start extracting smarter, structured insights from LinkedIn company pages today.