LinkedIn Company Scraper
Pricing
from $2.00 / 1,000 scraped company profiles
LinkedIn Company Scraper
Scrape LinkedIn company profiles. Input a list of company page URLs and get structured data: name, description, industry, employee count, headquarters, website, type, specialities, size, founded year, slogan, and office locations.
Pricing
from $2.00 / 1,000 scraped company profiles
Rating
0.0
(0)
Developer
Crawlworks
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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🏢 What is LinkedIn Company Scraper?
LinkedIn Company Scraper turns LinkedIn company pages into structured, usable data — so you can research companies, build prospect lists, and track the market without copying anything by hand.
If you're in sales, it pulls company names, industries, headcounts, locations, and websites across hundreds of companies in one run, ready to drop into a spreadsheet or your CRM. If you're watching competitors, you can track how they're growing and what they're advertising without checking their pages manually every month. For market research, you can analyse thousands of profiles at once to benchmark company sizes, map industry distributions, and spot emerging players you didn't know to look for. It's also useful beyond sales — investors and analysts use it to track headcount trends, founding years, and company types across a portfolio of targets. It handles one company or thousands, deduplicates automatically, and delivers clean results without the back-and-forth.
What data does LinkedIn Company Scraper extract?
| 🏢 Company name and LinkedIn profile URL | 🆔 LinkedIn Org ID |
|---|---|
| 🖼️ Company logo URL | 👥 Follower count |
| 📝 Full company description | 🌐 Company website URL |
| 👔 Company type (Public Company, Privately Held, Nonprofit, etc.) | 🏷️ Industry classification with full hierarchy and description |
| 👨💼 Total employee count | 📏 Company size |
| 📍 Headquarters location | 📅 Year founded |
| 💬 Company slogan / tagline | ✨ Specialities list |
| 📌 All office locations with full addresses and Bing Maps links |
As a linkedin company profile scraper, this tool gives you the following capabilities:
- Batch scrape at any scale: provide one URL or thousands — every company is processed in a single run
- Concurrent fetching: all company pages are fetched in parallel for fast, efficient execution
- Proxy support: in-built proxy infrastructure to avoid rate limiting and maintain reliability at scale
- Flexible export: download results as JSON, CSV, Excel, or HTML directly from the Apify Console
⬇️ Input
The input for LinkedIn Company Scraper is a list of LinkedIn company page URLs. You can scrape a single LinkedIn company page or an entire list of companies — each URL maps to one record in the output. Paste your target URLs into the input field and run.
🔗 LinkedIn Company Page URLs
Provide one or more LinkedIn company profile URLs in the companyUrls field. Each URL should point directly to a company's LinkedIn presence.
Example URLs:
https://www.linkedin.com/company/applehttps://www.linkedin.com/company/googlehttps://www.linkedin.com/company/microsoft
Country-specific LinkedIn subdomains (e.g. uk.linkedin.com, cn.linkedin.com, de.linkedin.com) are automatically normalised to www.linkedin.com, so you don't need to clean your URL lists before running.
How to find a company's LinkedIn URL:
- Go to LinkedIn and use the search bar
- Filter results by Companies
- Click through to the company's profile page
- Copy the URL from your browser's address bar
- Paste it into the LinkedIn Company URLs field in the scraper's interface
⬆️ Output
Scraped data is written to an Apify dataset as each company is processed. Open the Storage tab to browse the full dataset, or use the Output tab for a quick preview of the most recent run.
Export in JSON, CSV, Excel, or HTML — or keep it in the live table view. Select exactly which fields to include before downloading.
Table view
Once the run completes, every company the scraper processed appears as a row in the dataset's table view. Each column maps to a single data field, making it easy to spot-check results, sort by industry or employee count, and filter by company type — all without leaving the Apify Console.
JSON
Here's the data you get from a single linkedin company profile scraper result (Google on LinkedIn — so you can compare):
❓ FAQ
How does LinkedIn Company Scraper work?
You provide a list of LinkedIn company page URLs, and the scraper fetches each profile, extracts the structured company data, and saves it to an Apify dataset — all automatically. It runs multiple companies concurrently, deduplicates your input so no company is fetched twice, and uses built-in proxy rotation to keep things running smoothly at any scale.
Can I scrape multiple companies at once?
Yes. You can scrape a LinkedIn company page on its own, or feed in hundreds of URLs at once — there's no per-run cap on the number of companies. All URLs are fetched concurrently, so a list of 500 companies completes in a fraction of the time it would take sequentially. Duplicate entries in your input list are automatically detected and fetched only once, so you don't need to deduplicate before running.
How can I increase the speed of the scraper?
The scraper is already built for concurrency — all company pages are fetched in parallel by default. To get the most out of it:
- Remove duplicates from your input list before running, even though the scraper deduplicates internally, a cleaner input reduces memory overhead
- Use
www.linkedin.comsubdomains when possible — country-specific subdomains are normalised automatically, but starting with canonical URLs skips that step - Run multiple batches in parallel using the LinkedIn Company Scraper API if you need to process very large datasets across separate actor runs simultaneously
Can I integrate LinkedIn Company Scraper with other apps?
Yes. LinkedIn Company Scraper connects with almost any cloud service or web app through integrations on the Apify platform. You can pipe your company data directly into Zapier, Slack, Make, Airbyte, GitHub, Google Sheets, Asana, LangChain, and many more.
You can also use webhooks to trigger downstream actions automatically — for example, push a Slack notification or update a CRM record every time a scraper run completes. For AI-powered workflows, Apify's MCP server lets you connect the linkedin company scraper output directly into LLM agents and automation pipelines.
Can I use LinkedIn Company Scraper as its own API?
Yes. You can call this linkedin company scraper programmatically via the Apify API to manage runs, retrieve datasets, schedule recurring scrapes, and monitor performance. You can access the full API reference, along with generated code samples in multiple languages, from the API tab.
To access the API using Node.js, use the apify-client NPM package. To access the API using Python, use the apify-client PyPI package.
For full documentation and examples, refer to the Apify API documentation.
Can I use this LinkedIn Company Scraper API in Python?
Yes. The Apify API works natively with Python through the apify-client PyPI package. Install it with pip install apify-client, then authenticate with your API token to start triggering runs and retrieving results programmatically. Full usage examples and method references are available in the Python Client documentation.
Is it legal to scrape LinkedIn company data?
Web scraping is legal when you collect publicly available information, and LinkedIn company profiles — including names, descriptions, employee counts, industries, and office locations — are publicly visible to anyone without requiring a login. That said, you should respect applicable data protection regulations and LinkedIn's Terms of Use. Avoid collecting or storing personal data beyond what is necessary for your legitimate use case, and ensure your usage aligns with the purpose for which the data was made public.
💬 Support
We're always working on improving our Actors' performance. If you have any technical feedback for LinkedIn Company Scraper or have found a bug, please create an issue on the Actor's Issues tab in Apify Console.
For anything else, reach out at hello@crawlworks.io or visit crawlworks.io.
