Linkedin Company About Scraper

Linkedin Company About Scraper

Linkedin Company About Scraper is an Apify actor that extracts structured information from public LinkedIn company About pages. It solves the manual effort of copying details from company profiles by turning them into clean, analyzable records using a LinkedIn company about section scraper approach. Built for marketers, developers, data analysts, and researchers, this LinkedIn company profile scraper helps you scale B2B enrichment, market research, and reporting with reliable automation.

What data / output can you get?

Below are the exact JSON fields this LinkedIn company page about extractor pushes to the dataset. Values are normalized from the About section using a real browser, metadata, and JSON-LD when available.

Data type	Description	Example value
company_name	Company name parsed from the page title or structured data	“Webflow”
linkedin_url	Canonical LinkedIn company URL that was processed	“https://www.linkedin.com/company/webflow”
domain	Official company website resolved from “Visit website” links (shorteners and LinkedIn redirects handled)	“https://webflow.com”
category	Industry/category extracted from visible labels or structured data	“Web development”
number_employees	Company size range (e.g., “11-50 employees”, “10,001+ employees”)	“501-1000 employees”
associated_members	“Associated members” count when present on the page	“656,940”
location	Headquarters or location summary (e.g., “Headquarters”, “Based in”)	“San Francisco, California”
description	About/overview text from og:description or structured data	“Webflow is an American company that provides software as a service for website building and hosting…”
success	Boolean flag indicating if extraction succeeded (true if company name detected)	true
scraped_at	ISO timestamp of when the record was scraped	“2026-04-12T12:21:13.638Z”

Note: Results are stored in the Apify dataset, so you can export to JSON, CSV, or Excel. Some fields may be empty when not present on the LinkedIn company About page.

Key features

• 🧭 Precise About-section extraction: Focused LinkedIn company overview scraper that pulls company name, website, industry, size, location, and description from public About pages.
• 🧪 Real-browser fetching: Uses headless Chromium (Playwright) to reduce LinkedIn HTTP 999 blocks and load dynamic “About” details reliably.
• 🔁 Smart retries & pacing: Configurable maxRetries and requestDelay with small random jitter to behave politely and improve success rates.
• 🧷 Proxy-aware reliability: Supports Apify Proxy and automatically falls back to RESIDENTIAL proxies if blocked (403/429/999) for higher stability.
• 🌐 Link resolver for websites: Unwraps LinkedIn safety/go redirects and common shorteners (e.g., lnkd.in, bit.ly, t.co) to return the actual company domain.
• 🔌 Developer-friendly on Apify: Trigger via API, schedule runs, and integrate results into pipelines—ideal as a LinkedIn company profile data extractor for enrichment.
• 🔒 No login required: Scrapes publicly available LinkedIn business page data without cookies or authenticated sessions.
• 📤 Easy exports & integrations: Download datasets in JSON/CSV/Excel or connect to automation tools (e.g., Make.com, n8n, Zapier) for end-to-end workflows.

How to use Linkedin Company About Scraper - step by step

1. Sign in to Apify

   • Create a free Apify account or log in.

2. Open the actor

   • Find “Linkedin Company About Scraper” in the Apify Store.

3. Provide input data

   • In “startUrls”, enter one or more LinkedIn company URLs or handles (e.g., “https://www.linkedin.com/company/microsoft” or “google”).

4. Configure proxy settings (optional)

   • Set “proxyConfiguration” as needed. If LinkedIn rejects the proxy, the actor will automatically try a residential proxy fallback.

5. Tune reliability controls (optional)

   • Adjust “maxRetries” (default 3) and “requestDelay” seconds (default 2; adds 0–1s random jitter) to balance speed and resilience.

6. Run the actor

   • Click Start. The scraper will convert handles to canonical LinkedIn company URLs, fetch via a real browser, and parse About data.

7. Review and export results

   • Go to the run’s Dataset to preview results and export as JSON, CSV, or Excel. You can also access data programmatically via the Apify API.

Pro tip: Use this LinkedIn company info scraper tool in a scheduled automation to enrich your CRM, or connect it to an ETL/ELT pipeline for continuous market tracking.

Use cases

Use case	Description
Market research & benchmarking	Aggregate industries, size ranges, and descriptions across competitors using a LinkedIn organization about data scraper.
Sales prospecting & B2B enrichment	Enrich account lists with website, industry, and location using this LinkedIn company details scraper.
Recruitment & HR analytics	Identify growth signals from company size ranges and About narratives on LinkedIn business pages.
Academic & policy research	Build structured datasets from public company profiles for industry and geography studies.
Data engineering pipelines	Feed structured About data to warehouses via API for dashboards and analytics.
Product & vendor evaluation	Validate company focus and scale directly from LinkedIn company About section data extraction.

Why choose Linkedin Company About Scraper?

This actor is engineered for precision and reliability as a LinkedIn company about page scraper, delivering clean company overviews without fragile browser extensions.

• ⚙️ Production-grade stability: Real Chromium + proxy fallback yields higher success on dynamic LinkedIn pages.
• 🎯 Structured outputs that fit: Consistent fields for company_name, domain, category, number_employees, associated_members, location, and description.
• 🔁 Configurable resilience: Control maxRetries and requestDelay to match your workload and risk tolerance.
• 🧩 Built for integration: Works seamlessly with the Apify platform, APIs, and automation tools—ideal for pipelines and BI.
• 🔒 Public-only data: No login or cookies required; designed for publicly available company info.
• 🆚 Better than extensions: Avoid brittle scripts and manual browsers with a scalable, cloud-native LinkedIn company profile scraper.

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

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

Guidelines for compliant use:

• Scrape only publicly visible company information from LinkedIn.
• Avoid collecting or processing personal data fields.
• Follow applicable regulations (e.g., GDPR, CCPA) and LinkedIn’s terms.
• Use the data for legitimate purposes (analysis, research, enrichment) and consult your legal team for edge cases.

Input parameters & output format

Example JSON input

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

Parameters

Field	Type	Required	Default	Description
startUrls	array of strings	Yes	None	One or more LinkedIn company URLs (e.g., https://www.linkedin.com/company/company-name) or usernames/handles (e.g., company-name).
proxyConfiguration	object	No	Prefill { "useApifyProxy": false }	Choose which proxies to use. If LinkedIn rejects the proxy, a residential proxy will be used as a fallback.
maxRetries	integer	No	3	Number of retry attempts for failed requests (1–5).
requestDelay	integer	No	2	Base delay (seconds) between requests. Random 0–1s is added automatically.

Note: The actor normalizes inputs by converting handles into canonical LinkedIn company URLs before scraping.

Example JSON output

[
  {
    "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": "656,940",
    "location": "San Francisco, California",
    "description": "Webflow is a company that provides software as a service for website building and hosting. Its visual editor allows users to design, build, and launch websites without writing code.",
    "success": true,
    "scraped_at": "2026-04-12T12:21:13.638Z"
  },
  {
    "company_name": "Microsoft",
    "linkedin_url": "https://www.linkedin.com/company/microsoft",
    "domain": "https://microsoft.com",
    "category": "Technology",
    "number_employees": "10,001+ employees",
    "associated_members": "N/A",
    "location": "Redmond, Washington",
    "description": "Microsoft is a multinational technology company that develops software, services, and devices, including Windows, Microsoft 365, and Azure.",
    "success": true,
    "scraped_at": "2026-04-12T12:22:10.214Z"
  }
]

Notes:

• Some fields may be empty strings if not present on the public About page. The “success” flag is true when a company name is detected.
• “associated_members” appears when the page shows an “associated members” metric; otherwise it may be empty.

FAQ

Is there a free way to try it?

Yes. You can try this actor using Apify trial minutes (the listing includes trial minutes) and then choose a plan that fits your workload. Check the actor’s Apify page for current pricing details.

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

No. The actor is designed to work without login or cookies and only scrapes publicly available company page data.

Which inputs are supported?

Provide an array of strings in “startUrls” containing LinkedIn company URLs or plain handles (e.g., “company-name”). The actor converts handles to canonical LinkedIn company URLs automatically.

What data does it return?

It outputs company_name, linkedin_url, domain, category, number_employees, associated_members, location, description, success, and scraped_at—making it a focused LinkedIn company about section data extraction tool.

How many companies can I scrape per run?

As many as you include in “startUrls”, subject to your Apify run limits and runtime settings. Use requestDelay and maxRetries to balance speed and reliability.

Can it extract followers or employee lists?

It extracts company size ranges (e.g., “11-50 employees”) and “associated members” counts when present. It does not fetch follower or employee lists.

Does it work with APIs or Python?

Yes. Access datasets and run actors via the Apify API or integrate with Python scripts and workflow tools. This makes it a practical LinkedIn company profile data extractor for pipelines.

Is this a Chrome extension?

No. It’s a cloud actor that runs headless Chromium (Playwright) on Apify infrastructure. You trigger it via the UI or API rather than installing a browser extension.

Final thoughts

Linkedin Company About Scraper is built to turn public LinkedIn company About pages into clean, structured records at scale. With real-browser extraction, proxy-smart reliability, and consistent output fields, it’s ideal for sales teams, marketers, data analysts, and researchers. Integrate via the Apify API, automate exports to your warehouse or CRM, and start building dependable datasets from LinkedIn company profiles. Start extracting smarter, automated insights today.