Linkedin Company About Scraper

Linkedin Company About Scraper

Linkedin Company About Scraper is an Apify actor that extracts structured data from publicly available LinkedIn company About pages — a focused LinkedIn company about page extractor and LinkedIn company profile scraper for B2B enrichment at scale. It solves the manual copy‑paste problem by turning company overview pages into clean, ready‑to‑use records for marketers, developers, data analysts, and researchers. With automated normalization of inputs (usernames or URLs), real‑browser rendering, and proxy fallback, it helps you reliably scrape LinkedIn company About section content for large lists.

What data / output can you get?

This LinkedIn company page content scraper returns consistent, structured fields so you can build pipelines and analytics confidently.

Data type	Description	Example value
company_name	Company display name parsed from the public profile	Webflow
linkedin_url	Canonical LinkedIn company URL (normalized from URL or username input)	https://www.linkedin.com/company/webflow
domain	External website URL resolved from the “Website” link (shorteners resolved)	https://webflow.com
category	Industry or category detected from the page	Web development
number_employees	Company size range or employees count string	10,001+ employees
associated_members	“Associated members” metric when present on the page	656,940
location	Headquarters or locations text (e.g., “Headquarters”, “Based in”)	San Francisco, California
description	About/overview description from the page meta	Webflow is a visual development platform...
success	Boolean flag indicating if the scrape found a company name	true
scraped_at	ISO timestamp when the record was generated	2026-04-02T14:15:43.219Z

Note: The scraper also resolves LinkedIn’s external link redirector and common shorteners (e.g., lnkd.in, bit.ly) to capture a company’s real website domain. Results are stored in the Apify dataset so you can programmatically retrieve them for further processing with your LinkedIn business page scraper workflows.

Key features

• 🚀 Real‑browser extraction (Playwright) Uses a headless Chromium browser to reduce LinkedIn HTTP 999 blocks and load dynamic About content accurately.

• 🧭 Input normalization for usernames or URLs Accepts LinkedIn company URLs or plain usernames/handles and converts them to canonical company profile URLs automatically.

• 🔁 Resilient retries with human‑like pacing Configurable max retries and per‑request delay with random jitter help you act like a LinkedIn company page crawler without tripping rate limits.

• 🧠 Precise overview parsing Extracts the key About fields you need for enrichment: company_name, domain, category, number_employees, associated_members, location, description, and metadata flags.

• 🌐 Smart proxy handling with fallback Supports custom proxy configuration and automatically falls back to residential proxies when a request is blocked (403/429/999).

• 🔗 Link shortener resolution Follows common shorteners and LinkedIn’s /safety/go redirector to find the real external company website.

• 📦 Dataset‑first output Each result is pushed immediately to the dataset as a JSON record, ready for your pipelines and integrations.

• 📈 Batch‑friendly design Processes multiple companies in a single run, ideal for LinkedIn company profile data scraper workflows and automated enrichment.

• 🛡️ Production‑ready reliability Built with retries, proxy fallback, and browser rendering to deliver stable runs for your LinkedIn company page data extractor use cases.

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 console.
3. Add your input:
   • In startUrls, enter one or more LinkedIn company profile URLs (e.g., https://www.linkedin.com/company/microsoft) or usernames/handles (e.g., google, company/webflow).
4. Configure settings (optional):
   • proxyConfiguration to choose proxies (the scraper will auto‑fallback to residential if blocked).
   • maxRetries to control retry attempts for failed fetches.
   • requestDelay to add a base delay (a small random jitter is added automatically).
5. Start the run:
   • The actor converts inputs to canonical company URLs, fetches pages with a real browser, and extracts About fields.
6. Monitor progress:
   • Each processed company is pushed to the dataset right away.
7. Retrieve results:
   • Access your dataset and download or connect it to your existing LinkedIn company page data extractor workflows.

Pro tip: Mix URLs and usernames in startUrls to quickly build lists for your LinkedIn company profile data scraper. Enable Apify Proxy for added resilience — the actor automatically falls back to residential proxies when needed.

Use cases

Use case	Description
Market research & competitor tracking	Aggregate company sizes, industries, and descriptions to map segments and trends.
B2B lead enrichment	Append verified domains, industries, and size ranges to company records in your CRM.
Recruitment intelligence	Identify growth signals with company size ranges and locations for targeted outreach.
Academic and economic studies	Collect standardized company overview data for cross‑industry analyses.
Sales prospecting by industry/location	Filter companies by category and region using a LinkedIn company overview scraper.
Data pipeline & API ingestion	Use structured JSON outputs in ETL/ELT jobs for downstream analytics and enrichment.

Why choose Linkedin Company About Scraper?

Purpose‑built for precision, automation, and reliability, this LinkedIn company about scraper focuses on clean overview fields without brittle hacks.

• ⚡ Accuracy from real‑browser rendering to capture dynamic About content correctly.
• 🧰 Flexible inputs with automatic URL normalization for usernames and handles.
• 🧪 Robustness via retries, delays, and smart residential proxy fallback on blocks.
• 👩‍💻 Developer‑friendly JSON records aligned to a stable schema for easy parsing.
• 🛡️ Public‑data focus: designed for company pages available without login.
• ⏱️ Time‑saving at scale: process multiple companies per run with push‑as‑you‑go outputs.
• 🔄 Better than extensions: avoids unstable browser add‑ons with a production workflow.

In short: a LinkedIn company page content scraper that trades gimmicks for stability and clean, structured output.

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 authenticated data.

Guidelines for responsible use:

• Scrape only publicly visible company information.
• Avoid personal or private data fields.
• Ensure compliance with applicable regulations (e.g., GDPR, CCPA) and LinkedIn’s terms.
• Verify compliance with your legal team for edge cases or jurisdiction‑specific requirements.

Input parameters & output format

Below is the exact schema used by this LinkedIn company about text extractor. Use real field names as shown.

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)
  • Description: 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)
  • Description: Choose which proxies to use. If LinkedIn rejects the proxy, a residential proxy will be used as a fallback.
  • Default: {}
• maxRetries (integer, optional)
  • Description: Number of retry attempts for failed requests (1-5).
  • Default: 3
• requestDelay (integer, optional)
  • Description: Base delay between requests. Random 0-1s will be added automatically.
  • Default: 2

Example JSON output

[
  {
    "company_name": "Webflow",
    "linkedin_url": "https://www.linkedin.com/company/webflow",
    "domain": "https://webflow.com",
    "category": "Web development",
    "number_employees": "501-1,000 employees",
    "associated_members": "656,940",
    "location": "San Francisco, California",
    "description": "Webflow is a visual development platform that empowers designers to build professional, custom websites in a completely visual canvas with no code.",
    "success": true,
    "scraped_at": "2026-04-02T14:15:43.219Z"
  },
  {
    "company_name": "Microsoft",
    "linkedin_url": "https://www.linkedin.com/company/microsoft",
    "domain": "https://microsoft.com",
    "category": "Technology",
    "number_employees": "10,001+ employees",
    "associated_members": "2,000,000",
    "location": "Redmond, Washington",
    "description": "Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge.",
    "success": true,
    "scraped_at": "2026-04-02T14:16:12.004Z"
  }
]

Notes:

• If a page cannot be fetched after retries, the actor still pushes a record with success set to false and empty strings for most fields (associated_members may be absent in failure cases).
• linkedin_url is always the normalized company URL used for the request.

FAQ

Is there a free tier or trial?

✅ Yes. This actor includes trial minutes on Apify so you can evaluate it before subscribing. Check the Apify listing for current pricing and trial details.

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

❌ No. The scraper targets publicly available LinkedIn company pages and operates without login or cookies.

Can I input company usernames instead of full URLs?

✅ Yes. You can provide usernames/handles (e.g., google, company/webflow) in startUrls — they are automatically converted to canonical LinkedIn company URLs.

How many companies can I scrape in one run?

📈 There is no hardcoded limit in the actor. You can include as many items in startUrls as your Apify run resources and time allow.

What fields does it extract from a company page?

🧩 It captures company_name, linkedin_url, domain, category, number_employees, associated_members, location, description, success, and scraped_at from the public About section.

Does it handle blocks or rate limits?

🛡️ Yes. It uses a real browser, supports requestDelay for pacing, retries failed requests, and automatically falls back to residential proxies when blocked (403/429/999).

Can I use the results in my data pipeline?

💻 Yes. Each item is pushed to the Apify dataset as JSON, making it straightforward to consume with your LinkedIn company page data extractor workflows and scripts.

Does it scrape followers or employee lists?

ℹ️ No. This actor focuses on company About/overview fields. For followers or employee lists, use dedicated tools designed for those datasets.

Final thoughts

Linkedin Company About Scraper is built to turn public LinkedIn company About pages into clean, structured records you can trust. With real‑browser fetching, proxy resilience, and precise field extraction, it’s ideal for marketers, developers, analysts, and researchers who need reliable LinkedIn company overview scraper results at scale. Integrate the JSON outputs into your pipelines, automate enrichment, and start extracting smarter company insights today.