Linkedin Company About Scraper

Linkedin Company About Scraper

Linkedin Company About Scraper is a focused LinkedIn company about section scraper that collects structured details from public LinkedIn company pages — including company names, websites, industries, locations, employee ranges, and more. It solves the manual, error-prone task of researching About pages by providing a LinkedIn company profile data extractor that’s reliable and automation-ready. Built for marketers, developers, data analysts, and researchers, this no-code LinkedIn company about scraper scales from ad‑hoc lookups to bulk LinkedIn company about scraper workflows that feed B2B enrichment and research pipelines.

What data / output can you get?

Use this LinkedIn company page scraper tool to extract clean, structured fields. Results are stored in the Apify dataset for easy export (CSV, JSON, Excel).

Data type	Description	Example value
company_name	Company’s display name	“Microsoft”
linkedin_url	Normalized LinkedIn company URL	https://www.linkedin.com/company/microsoft
domain	Official website domain (resolved from redirects)	https://microsoft.com
category	Industry/category parsed from the page	“Software Development”
number_employees	Company size range or employee count	“10,001+ employees”
associated_members	“Associated members” count on LinkedIn	“656,940”
location	Headquarters or locations summary	“Redmond, Washington, United States”
description	About section summary/overview	“Microsoft Corporation is an American…”
success	Scrape success flag	true
scraped_at	ISO timestamp when the data was scraped	“2026-04-13T12:40:25.123456”

Note: Fields that aren’t found on a given page are returned as empty strings. Export your dataset in JSON, CSV, or Excel directly from the Apify platform.

Key features

• 🧭 Real-browser fetching with Playwright Uses a headless Chromium session to reduce HTTP 999 blocks and load dynamically rendered About content for accurate extraction.

• 🔁 Proxy fallback for reliability Automatically switches to Apify Residential proxies when blocked (403/429/999), keeping your LinkedIn company about info extractor stable at scale.

• ⚙️ Configurable retries & pacing Tune maxRetries and requestDelay to balance speed and resilience when you scrape LinkedIn company about page data across many profiles.

• 🔗 Smart website resolution Resolves LinkedIn safety/go redirects and common shorteners (e.g., lnkd.in, bit.ly) to output clean company domains.

• 🧹 URL normalization & flexible input Accepts usernames or full URLs and normalizes them to standard LinkedIn company URLs automatically.

• 📦 Dataset exports & no-code workflow One-click export to JSON/CSV/Excel and seamless no-code integration on Apify for teams that need a LinkedIn company about section API alternative.

• 💻 Developer friendly Trigger runs and fetch results via the Apify API or SDK from your Python LinkedIn company about scraper pipelines and data workflows.

• 🏗️ Production-ready on Apify Built for reliability with detailed logging and immediate dataset writes per item to safeguard progress in longer runs.

How to use Linkedin Company About Scraper - step by step

1. 🔑 Sign in to Apify
   Create or log in to your Apify account.

2. 🔍 Open the actor
   Find “Linkedin Company About Scraper” in the Apify Store.

3. 🧾 Provide input data
   In the Input tab, add startUrls as company usernames or full URLs, e.g.:

   • microsoft
   • https://www.linkedin.com/company/google

4. ⚙️ Adjust settings (optional)

   • proxyConfiguration: Choose proxies; the scraper can auto‑fallback to Residential if blocked.
   • maxRetries: Set retry attempts for blocked/failed fetches.
   • requestDelay: Add a base delay between requests (random 0–1s is added automatically).

5. 🚀 Start the run
   Click Start. The actor uses a headless browser to load the page, scrolls to About sections, and extracts fields.

6. 🖥️ Monitor progress
   Watch logs in real time and see each company pushed to the Dataset during the run.

7. 💾 Export results
   Go to the Dataset and export your data to JSON, CSV, or Excel for analysis or CRM/BI ingestion.

Pro Tip: Automate bulk LinkedIn company about section extraction via the Apify API from your scripts or orchestration tools to keep enrichment pipelines fresh.

Use cases

Use case	Description
Market research & competitor mapping	Aggregate company descriptions, industries, and sizes to analyze markets and positioning.
B2B lead list enrichment	Append domains, industries, and locations to company records for better targeting.
Recruitment & workforce signals	Use company size ranges and locations to qualify prospects and focus outreach.
Academic & policy research	Collect consistent organization descriptors for economic or social studies.
Data engineering pipelines (API)	Programmatically scrape LinkedIn company About pages and export to CSV/JSON for ETL.
Sales prospecting by vertical	Filter companies by category and HQ location to prioritize territories and segments.

Why choose Linkedin Company About Scraper?

This tool prioritizes precision, automation, and reliability for scraping LinkedIn company About pages at scale.

• ⚡ Accuracy-first extraction using a real browser to render dynamic content.
• 🛡️ Resilient proxy strategy with automatic fallback to Residential when needed.
• 📈 Scales to bulk workloads with configurable retries and pacing.
• 💻 Built for developers with API access and clean JSON outputs.
• 🔒 Public-data only approach that avoids login/cookies and reduces risk.
• 💾 Easy exports for analytics and operations (CSV, JSON, Excel).
• 🔧 More reliable than fragile extensions or manual copy-paste alternatives.

In short, it’s a streamlined LinkedIn company page about parser that turns public profiles into structured data you can trust.

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

✅ Yes — when used responsibly.
This actor scrapes publicly available company page information and does not access private or personal data.

Guidelines for responsible use:

• Scrape only publicly visible company information.
• Avoid personal or private data fields and authenticated areas.
• Comply with data protection regulations (e.g., GDPR, CCPA) and platform terms.
• Use the data for legitimate analysis and research, not spam.
• Consult your legal team for edge cases in your jurisdiction.

Input parameters & output format

Example JSON input

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

Input fields

Field	Type	Required	Default	Description
startUrls	array[string]	Yes	—	List one or more LinkedIn company URLs (e.g., https://www.linkedin.com/company/company-name) or usernames (e.g., company-name).
proxyConfiguration	object	No	not set (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 between requests in seconds. A random 0–1s is added automatically.

Example JSON output

[
  {
    "company_name": "Microsoft",
    "linkedin_url": "https://www.linkedin.com/company/microsoft",
    "domain": "https://microsoft.com",
    "category": "Software Development",
    "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": "2026-04-13T12:40:25.123456"
  },
  {
    "company_name": "GitLab",
    "linkedin_url": "https://www.linkedin.com/company/gitlab",
    "domain": "https://gitlab.com",
    "category": "Information Technology & Services",
    "number_employees": "1,001-5,000 employees",
    "associated_members": "—",
    "location": "",
    "description": "GitLab is a software forge primarily developed by GitLab Inc...",
    "success": true,
    "scraped_at": "2026-04-13T12:41:10.987654"
  }
]

Notes:

• Missing fields are returned as empty strings. The success flag is true if a company name was extracted.
• scraped_at is an ISO timestamp for each item pushed to the dataset.

Related tools

🧰 Tool	🔗 Link
🪪 LinkedIn Ads Scraper	https://apify.com/scraper-engine/linkedin-ads-scraper
💼 LinkedIn Company Employees Scraper	https://apify.com/scraper-engine/linkedin-company-employees-scraper
🏢 LinkedIn Company Profile Scraper	https://apify.com/scraper-engine/linkedin-company-profile-scraper
📄 LinkedIn Post Scraper	https://apify.com/scraper-engine/linkedin-post-scraper
🔎 LinkedIn Search Jobs Scraper	https://apify.com/scraper-engine/linkedin-search-jobs-scraper
👤 LinkedIn Profile Scraper [Cheapest + Fastest]	https://apify.com/scraper-engine/linkedin-profile-scraper-cheapst-fastest

FAQ

Is Linkedin Company About Scraper free?

You can run this actor on Apify under the plan that fits your needs. The listing includes a flat price per month of $19.99 with 120 trial minutes available; check the Apify Store page for the latest pricing and trial details.

Do I need cookies or login to use it?

No. The actor works on publicly available LinkedIn company pages and does not require login or cookies.

Can I integrate it with Python or an API?

Yes. You can start runs and fetch datasets via the Apify API, making it easy to use this LinkedIn company about section API alternative in Python workflows.

How many companies can I scrape per run?

There’s no hard-coded item cap in the actor. You can pass as many startUrls as your Apify run limits and resources allow; adjust maxRetries and requestDelay to fit your scale and reliability needs.

What fields does it return?

It returns company_name, linkedin_url, domain, category, number_employees, associated_members, location, description, success, and scraped_at. Fields not present on a page are returned as empty strings.

Does it handle URL shorteners on website links?

Yes. The actor follows common shorteners and LinkedIn’s safety/go redirects to resolve and output clean website domains.

What happens if LinkedIn blocks requests?

The actor retries failed loads and automatically falls back to Residential proxies for 403/429/999 responses to improve success rates.

Can I export the LinkedIn company about section to CSV?

Yes. After the run, open the Dataset and export your results to CSV, JSON, or Excel.

Final thoughts

Linkedin Company About Scraper is built to turn public LinkedIn company About pages into clean, structured data for enrichment and analysis. With real-browser fetching, proxy fallback, and clean JSON outputs, it helps marketers, developers, analysts, and researchers automate data collection at scale. Trigger it programmatically via the Apify API for end-to-end pipelines, and export to CSV/JSON/Excel for downstream use. Start extracting smarter, more reliable company insights today.