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 eliminates manual copy-paste by turning company overview details into clean, machine-readable records — a focused LinkedIn company page about scraper for B2B enrichment, market research, and analytics. Built for marketers, developers, data analysts, and researchers, this LinkedIn company about section extractor enables reliable, scalable collection of company descriptions, industries, locations, and size ranges for automation-ready workflows.

What data / output can you get?

This actor pushes structured records to the Apify Dataset as it processes each company. The output fields below reflect the exact JSON keys it produces.

Data type	Description	Example value
company_name	Company display name parsed from the page	“Webflow”
linkedin_url	Canonical LinkedIn company URL processed for the record	“https://www.linkedin.com/company/webflow”
domain	Official website domain resolved from About page links and redirects	“https://webflow.com”
category	Industry or category value detected on the page	“Technology”
number_employees	Company size string extracted from About (range or count)	“10,001+ employees”
associated_members	LinkedIn “associated members” count, when present	“656,940”
location	Headquarters or locations summary parsed from the page	“Austin, Texas, United States”
description	About section / Open Graph description text	“Microsoft Corporation is an American multinational…”
success	Whether the scrape captured a valid company name	true
scraped_at	ISO timestamp when the record was created	“2026-04-02T07:16:56.446Z”

Notes:

• Records stream to the dataset as they’re found; you can export in JSON, CSV, or Excel.
• Some fields may be empty if they’re not present on the public page or the page is partially loaded.

Key features

• 🚀 Real-browser extraction
  Uses headless Chromium via Playwright to fetch and render LinkedIn company pages, helping mitigate HTTP 999 and similar blocks for reliable About-page loads.

• 🔁 Smart proxy fallback
  Accepts proxyConfiguration input and automatically falls back to Apify residential proxies upon common block statuses (403/429/999) for tougher pages.

• 🔗 URL/handle normalization
  Paste full company URLs or simple usernames/handles — the actor converts them into canonical LinkedIn company URLs before scraping.

• 🌐 External website resolver
  Detects “Website” links on the page, follows LinkedIn’s safety/go redirector, and resolves common shorteners to return the clean base domain.

• 🧭 Structured field extraction
  Captures company_name, linkedin_url, domain, category (industry), number_employees (company size), associated_members, location, description, and adds success + scraped_at for auditability.

• ⏱️ Human-like pacing & retries
  Applies a base requestDelay with a small random jitter and configurable maxRetries to balance speed with stability.

• 💾 Ready-to-export dataset
  Every record is pushed immediately to the Apify Dataset — export your results to JSON, CSV, or Excel with a click.

• 🧩 Integration-friendly
  Connect your LinkedIn company about data extraction to Make.com, n8n, or Zapier via the Apify API for automated workflows.

• 🔒 No login required
  Scrapes public LinkedIn company pages without cookies or account authentication.

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 and click Try.

3. 🧾 Add input data
   In the Input tab, provide startUrls as a list of LinkedIn company URLs or usernames/handles (e.g., “https://www.linkedin.com/company/microsoft”, “google”, or “company/webflow”).

4. 🌐 Configure proxies (optional)
   Set proxyConfiguration if needed. If a block is detected, the actor can fall back to residential proxies automatically.

5. 🔁 Tune reliability (optional)
   Adjust maxRetries (1–5) and requestDelay (0–10 seconds) to control retry behavior and pacing.

6. ▶️ Run the actor
   Click Start. The actor fetches each About page, extracts fields, and pushes records to the Dataset as it goes.

7. 💾 Export results
   Open the Dataset “LinkedIn Company Data” and export to JSON, CSV, or Excel for immediate analysis or ingestion.

Pro Tip: Connect the Apify Dataset or Runs API to your automation stack (Make.com, n8n, Zapier) to keep your CRM and enrichment pipelines updated.

Use cases

Use case name	Description
Market research & competitor mapping	Analyze industry categories, company size ranges, and locations to benchmark competitors and track trends.
B2B lead enrichment	Enrich company records with official domains, industries, and About descriptions to power targeting and scoring.
Sales prospecting	Identify companies by category and size for territory planning and outreach prioritization.
Recruitment research	Discover company size and headquarters data to map hiring targets and sourcing priorities.
Academic & economic studies	Collect structured organization metadata from public LinkedIn pages for datasets and research projects.
Data engineering pipelines	Feed structured About-page fields into data lakes and analytics systems via the Apify API for downstream processing.

Why choose Linkedin Company About Scraper?

Built for precision and automation, this LinkedIn company overview extractor focuses on stable, structured output from public company About pages.

• ⚡ Accuracy-first extraction: Uses real-browser rendering and multiple fallbacks (meta tags, JSON-LD, regex) to capture clean fields.
• 🧭 Robust against blocks: Supports proxyConfiguration and automatically falls back to residential proxies on block statuses.
• 📦 Scalable batch runs: Process multiple company URLs/handles in a single run, with streaming output to the dataset.
• 💻 Developer-ready: Works seamlessly with the Apify API for programmatic runs, webhooks, and pipeline integrations — ideal for LinkedIn company about scraper Python workflows.
• 🔒 Ethical by design: Targets publicly available company pages and avoids authentication-only content.
• 💾 Flexible exports: Download JSON, CSV, or Excel directly from the dataset for analytics and CRM imports.
• 🔗 Automation-friendly: Connect results to Make.com, n8n, or Zapier to trigger follow-up workflows.

In short: a production-grade LinkedIn company about section extractor — not a brittle browser extension — purpose-built for reliable B2B workflows.

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

✅ Yes — when used responsibly.

This actor extracts data from publicly visible LinkedIn company pages only and does not log in or access private profiles.

Guidelines for responsible use:

• 🛡️ Scrape only public company information from About pages.
• 📝 Respect applicable laws and regulations (e.g., GDPR, CCPA).
• 📒 Be mindful of platform terms and use results responsibly (e.g., analysis vs. unsolicited outreach).
• 🔐 Do not attempt to access authenticated or private data.

For edge cases and jurisdiction-specific questions, consult your legal counsel.

Input parameters & output format

Below is a real example of how to configure your run and what the dataset records look like.

Example JSON input

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

Input fields

• startUrls (array of strings)
  Description: List one or more LinkedIn company URLs (e.g., https://www.linkedin.com/company/company-name) or usernames (e.g., company-name).
  Required: Yes
  Default: none (UI prefill examples: “https://www.linkedin.com/company/microsoft”, “google”)

• proxyConfiguration (object)
  Description: Choose which proxies to use. If LinkedIn rejects the proxy, a residential proxy will be used as a fallback.
  Required: No
  Default: { "useApifyProxy": false }

• maxRetries (integer)
  Description: Number of retry attempts for failed requests (1–5).
  Required: No
  Default: 3

• requestDelay (integer, seconds)
  Description: Base delay between requests. Random 0–1s will be added automatically.
  Required: No
  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": "501-1000 employees",
    "associated_members": "120,000",
    "location": "San Francisco, California, United States",
    "description": "Webflow is a visual web development platform...",
    "success": true,
    "scraped_at": "2026-04-02T07:16:56.446Z"
  },
  {
    "company_name": "Microsoft",
    "linkedin_url": "https://www.linkedin.com/company/microsoft",
    "domain": "https://microsoft.com",
    "category": "Technology",
    "number_employees": "10,001+ employees",
    "location": "Redmond, Washington, United States",
    "description": "Microsoft Corporation is an American multinational technology company...",
    "success": true,
    "scraped_at": "2026-04-02T07:16:58.102Z"
  }
]

Notes:

• Output fields may be empty if the information isn’t present on the public page or wasn’t rendered during the visit.
• On hard failures (e.g., the page couldn’t be fetched), the record includes company_name (empty), linkedin_url, domain (empty), category (empty), number_employees (empty), location (empty), description (empty), success: false, and scraped_at. In this failure case, associated_members is not included.

Related tools

🧰 Tool	🧰 Tool
LinkedIn Ads Scraper	LinkedIn Search Jobs Scraper
LinkedIn Company Employees Scraper	LinkedIn Post Scraper
LinkedIn Company Profile Scraper	LinkedIn Profile Scraper [Cheapest + Fastest]

FAQ

Is login or cookies required to scrape LinkedIn company About pages?

❌ No. The actor fetches public company pages without authentication or cookies, using a headless Chromium browser to render content.

What inputs are supported — URLs or company names?

✅ Both. Provide LinkedIn company URLs or usernames/handles in startUrls; the actor normalizes them into canonical “/company/{handle}” URLs automatically.

Which fields does the scraper return?

📦 It returns company_name, linkedin_url, domain, category, number_employees, associated_members, location, description, success, and scraped_at — all structured in the Apify Dataset.

How many companies can I scrape per run?

📈 You can include as many items in startUrls as your run’s memory and time limits allow. The actor processes each input sequentially and streams results to the dataset.

Does it support proxies or IP rotation?

🛡️ Yes. Configure proxyConfiguration to use proxies. If LinkedIn responds with common block statuses (403/429/999), the actor can automatically fall back to residential proxies.

How does the scraper find the official website domain?

🔗 It inspects labeled “Website” links on the About page, follows LinkedIn’s safety/go redirect, resolves common shorteners, and returns the clean base domain when available.

What export formats are available?

💾 You can export the Apify Dataset to JSON, CSV, or Excel directly from the run’s dataset page.

Is it legal to scrape LinkedIn company About section data?

✅ Yes — when done responsibly using publicly available information. Avoid private or authenticated content and ensure compliance with applicable laws and platform terms.

Final thoughts

Linkedin Company About Scraper is built to turn public LinkedIn company About pages into clean, structured data for analysis and automation. With real-browser rendering, smart proxy fallback, and immediate dataset exports, it’s ideal for marketers, analysts, researchers, and developers who need reliable LinkedIn company about data extraction at scale. Connect it to the Apify API for automated pipelines, or export to CSV/Excel for quick insights. Start extracting smarter, structured company insights today.