Linkedin Company About Scraper
Pricing
$19.99/month + usage
Linkedin Company About Scraper
🏢 LinkedIn Company About Scraper (linkedin-company-about-scraper) extracts website, industry, size, HQ, followers & descriptions from public LinkedIn About pages. 🔎 Perfect for B2B research, lead gen & recruiting. ⚡ Fast, accurate, API-ready data to enrich CRM. 🚀
Pricing
$19.99/month + usage
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ScraperForge
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Bookmarked
2
Total users
1
Monthly active users
17 days ago
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Linkedin Company About Scraper
Linkedin Company About Scraper is a focused company profile scraper for B2B enrichment that extracts structured details from public LinkedIn “About” pages. It solves the manual effort of collecting company descriptions, websites, industries, headquarters, and scale by automating extraction from public profiles. Built for marketers, developers, data analysts, and researchers, this LinkedIn company about section scraper and LinkedIn company about extractor helps you build reliable datasets at scale with clean, API-ready output.
What data / output can you get?
Below are the exact JSON fields the actor pushes to the Apify dataset, with examples of typical values:
| Data field | Description | Example value |
|---|---|---|
| company_name | Company name parsed from the LinkedIn page | “Webflow” |
| linkedin_url | Normalized LinkedIn company URL (input username/URL is converted) | “https://www.linkedin.com/company/webflow” |
| domain | Company website (resolved from external links/redirects) | “https://webflow.com” |
| category | Industry/category detected from page text/metadata | “Web development” |
| number_employees | Company size range or employee metric from the page | “10,001+ employees” |
| associated_members | LinkedIn members who’ve listed the company (when present) | “656,940” |
| location | Headquarters or location summary | “Austin, Texas, United States” |
| description | About/overview text extracted from metadata or page content | “Microsoft Corporation is an American multinational…” |
| success | Boolean indicating if the scrape was successful (name found) | true |
| scraped_at | ISO timestamp when the record was created | “2026-04-12T05:10:11.123Z” |
Notes:
- Results are streamed to the dataset as they’re scraped; you can export to JSON, CSV, or Excel.
- Some fields may be blank if not present on the public page. On failed fetches, fields are returned empty and success is false.
Key features
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🚀 Browser-based reliability (Playwright) Uses a real headless Chromium session to reduce LinkedIn HTTP 999/blocked responses and capture hydrated “About” content reliably.
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🧭 Smart input normalization Accepts full LinkedIn company URLs or simple usernames/handles and converts them into canonical company page URLs automatically.
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🧠 Robust website resolution Detects official websites from “Visit website” links, follows LinkedIn safety redirects, and resolves common shorteners for accurate domains.
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🔁 Automatic retries & pacing Configurable retry logic plus human-like random delays between requests stabilize scraping and reduce block rates.
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🛡️ Proxy fallback built-in If requests are blocked (403/429/999), the scraper automatically falls back to an Apify Residential proxy group when enabled.
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📦 Structured, API-ready output Pushes clean fields like company_name, domain, category, number_employees, associated_members, location, and description with timestamps.
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🔌 Developer friendly Run via the Apify API and integrate outputs into pipelines; ideal for LinkedIn company page about scraper workflows and CRM enrichment.
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🔒 No login required Scrapes only publicly available LinkedIn company profile pages—no cookies or credentials needed.
How to use Linkedin Company About Scraper - step by step
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🔑 Sign in to Apify Create a free Apify account or sign in to your workspace.
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🔎 Open the actor Find “Linkedin Company About Scraper” in the Apify Marketplace and click Try for free or Run.
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🧾 Enter input data In the Input tab, paste a list into startUrls containing:
- Full LinkedIn company URLs, e.g., https://www.linkedin.com/company/microsoft
- Or company handles/usernames, e.g., google
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⚙️ Configure settings (optional)
- proxyConfiguration: Choose proxy settings (useApifyProxy, groups). The actor can automatically fall back to RESIDENTIAL if blocked.
- maxRetries: Set how many times to retry a failed request (1–5).
- requestDelay: Add a base delay (seconds) between requests; a random 0–1s is added automatically.
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▶️ Start the run Click Start. The actor will normalize inputs into LinkedIn company URLs, fetch pages using a headless browser, and extract About data.
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📊 Monitor progress Items are pushed to the dataset as they’re processed. You can follow logs to see proxy selection, retry attempts, and conversions.
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💾 Export results Open the Dataset tab to export your data to JSON, CSV, or Excel for use in BI tools, CRM, or data pipelines.
Pro Tip: Chain this LinkedIn company overview extractor with your enrichment pipeline via the Apify API to keep company records fresh automatically.
Use cases
| Use case | Description |
|---|---|
| Market research – competitor landscapes | Aggregate categories, company sizes, and locations to analyze industry trends and positioning. |
| Lead generation – B2B enrichment | Enrich accounts with domains, industries, and descriptions from a LinkedIn company about information scraper. |
| Recruitment – workforce signals | Capture company size ranges and associated members to gauge scale and hiring potential. |
| Academic research – industry mapping | Build datasets for studies using a LinkedIn company data extractor focused on public company profiles. |
| Sales prospecting – territory planning | Target by category and location using structured outputs from a LinkedIn company profile about scraper. |
| Data engineering – API pipelines | Automate scrapes on schedules and feed results to downstream systems for analytics and scoring. |
Why choose Linkedin Company About Scraper?
Linkedin Company About Scraper is built for precision, automation, and reliability across public LinkedIn company About pages.
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⚡ Accurate extraction Parses hydrated “About” content, meta tags, and JSON-LD for consistent company_name, domain, category, and description.
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🌍 Scalable batch processing Process multiple startUrls in one run—ideal for bulk LinkedIn company page scraper workflows.
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💻 Developer access Integrate via the Apify API and stream structured JSON into your data stack or ETL jobs.
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🛡️ Ethical & safe No login required; the actor only accesses publicly available company pages.
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💰 Cost-effective with trial Available as a monthly subscription on Apify with trial minutes to test your workflow before scaling.
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🔗 Workflow-friendly Export to JSON/CSV/Excel and plug into automation tools or custom scripts.
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🧱 Production-ready infrastructure Headless Chromium, automatic proxy fallback to RESIDENTIAL when needed, retries, and pacing for stable runs.
Is it legal / ethical to use Linkedin Company About Scraper?
Yes—when done responsibly. This actor extracts data from publicly available LinkedIn company pages and does not handle private or authenticated content.
Guidelines for compliant use:
- Scrape only public company information.
- Avoid collecting personal or private data.
- Ensure your usage complies with applicable regulations (e.g., GDPR, CCPA).
- Review and respect platform terms 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}
Input parameters
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startUrls (array of string)
- 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 (UI prefill example: ["https://www.linkedin.com/company/microsoft", "google"])
- Required: Yes
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proxyConfiguration (object)
- Description: Choose which proxies to use. If LinkedIn rejects the proxy, a residential proxy will be used as a fallback.
- Default: none (UI prefill: { "useApifyProxy": false })
- Required: No
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maxRetries (integer)
- Description: Number of retry attempts for failed requests (1-5).
- Default: 3
- Required: No
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requestDelay (integer)
- Description: Base delay between requests. Random 0-1s will be added automatically.
- Default: 2
- Required: No
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": "150,000","location": "San Francisco, California, United States","description": "Webflow, Inc. is a software company providing a visual web development platform and hosting.","success": true,"scraped_at": "2026-04-12T05:10:11.123Z"},{"company_name": "Microsoft","linkedin_url": "https://www.linkedin.com/company/microsoft","domain": "https://microsoft.com","category": "Technology","number_employees": "10,001+ employees","associated_members": "656,940","location": "Redmond, Washington, United States","description": "Microsoft Corporation is an American multinational technology company.","success": true,"scraped_at": "2026-04-12T05:10:25.987Z"},{"company_name": "","linkedin_url": "https://www.linkedin.com/company/example-company","domain": "","category": "","number_employees": "","location": "","description": "","success": false,"scraped_at": "2026-04-12T05:10:40.222Z"}]
Notes:
- On failed fetches, some fields may be empty and associated_members may be absent. The success flag indicates whether a company_name was detected.
- Export the dataset to JSON, CSV, or Excel directly from the Apify UI or via the API.
FAQ
Is Linkedin Company About Scraper free?
You can try it with Apify trial minutes before subscribing. This actor is offered with a flat monthly price on Apify, and the listing currently includes 120 trial minutes so you can validate your workflow before committing.
Do I need to log in to LinkedIn or provide cookies?
No. The scraper works without login or cookies and only accesses publicly available LinkedIn company pages.
What inputs are supported?
Provide startUrls as a list of LinkedIn company page URLs or company handles/usernames. The actor converts inputs like “google” or “company/google” into canonical URLs automatically.
Which data fields are returned?
The dataset includes company_name, linkedin_url, domain, category, number_employees, associated_members, location, description, success, and scraped_at. Fields may be empty if they’re not present on the public page.
How many companies can I scrape in one run?
You can queue multiple items in startUrls and the actor will process them sequentially with pacing and retries. Throughput depends on your allocated resources and proxy settings.
Does it support API or Python integration?
Yes. Run the actor via the Apify API and consume the dataset programmatically. The actor itself is implemented in Python with Playwright, making it ideal for developer workflows.
How does the proxy fallback work?
If a request is blocked with status 403/429/999, the actor can automatically switch to an Apify Residential proxy group as a fallback when proxy usage is enabled, improving success rates.
Is scraping LinkedIn company pages legal?
Yes—when you only access public pages and use the data responsibly. This actor does not access private or authenticated data. Always ensure compliance with LinkedIn’s terms and relevant laws like GDPR/CCPA for your specific use case.
Final thoughts
Linkedin Company About Scraper is built to extract clean, structured company insights from public LinkedIn “About” pages—fast and reliably. With browser-based fetching, proxy fallback, and structured outputs, it serves marketers, sales teams, recruiters, researchers, and developers who need a LinkedIn company about text extractor for B2B enrichment. Integrate via the Apify API to automate your LinkedIn company page scraper pipelines and keep your CRM or analytics stack fresh. Start extracting smarter today with a production-ready LinkedIn company data extractor that delivers accurate results at scale.