LinkedIn Company Profile Scraper

Social MediaMCP

Scrape LinkedIn company profile data by company URL. Extract company name, intro, website, size, HQ, locations, employees, and updates—export to Excel/CSV/JSON.

Templates are view-only on mobile. Please switch to a desktop to run this template.

🚀 Why Use This LinkedIn Company Profile Scraper

Save hours of manual copy-paste from company pages
Build comparable company profiles across industries
Support lead research, competitive intelligence, and market mapping
Export clean data for reporting, CRM enrichment, or dashboards

📊 Data You Can Extract

Depending on what the company page displays, you can extract:

🏷 Company name & introduction
🌐 Website
👥 Company size / employee info
📍 Headquarters & office locations
📰 Company updates/posts and related info

Ready to Start Scraping?

No coding. No setup. Works immediately.

👥 Who Should Use This Template?

📣 Sales & BD teams — qualify accounts and enrich lead lists

📊 Research & analytics — map industries, compare competitors

🧩 Agencies & consultants — gather company snapshots for clients

📈 Investors & market analysts — support due diligence and monitoring

LinkedIn Job Scraper (Login Required) — Extract job postings with full descriptions and requirements
LinkedIn Job Search Scraper by URL — Scrape job listings from search result URLs
LinkedIn Posts Scraper — Collect posts and updates from company or profile pages

Further Reading:

How to Scrape LinkedIn Public Data — Legal considerations and best practices
LinkedIn Job Scraper Guide — Detailed tutorial for job data extraction

🐙 Why Octoparse?

🧩 No-code template: paste URLs and run
🔄 Automated extraction workflow: less manual work, more consistency
📁 Flexible exports: Excel/CSV/JSON for downstream use
🧰 Built for scale: collect many company profiles in one workflow

Start collecting data now — no setup, no hassle, just raw data in minutes.

Input and Output

Input

{
  "linkedIn_Company_URLs": [
    "https://www.linkedin.com/company/scandit/",
    "https://www.linkedin.com/company/ef-education-first/",
    "https://www.linkedin.com/company/magellan-centres-medicaux/"
  ]
}

Output

[
  {
    "About_us": "\n              \nScandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence. \n\nWe enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included. \n\nVisit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us. \n          ",
    "Address": "Shibuya City                                                                  Tokyo, 150-6139, JP ",
    "Address_Link": "https://www.bing.com/maps?where=Shibuya+City+Tokyo+150-6139+JP&trk=org-locations_url",
    "Avatar_URL": "",
    "Comment_count": "",
    "Company_Intro": "\n              \nScandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence. \n\nWe enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included. \n\nVisit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us. \n          ",
    "Company_name": "\n                      Scandit\n                      \n                    ",
    "Company_size": "\n        \n                  \n\n    \n    \n    \n    \n    \n    \n    \n    \n    \n\n        201-500 employees\n  \n\n                \n      ",
    "Employee_intro": "",
    "Employee_link": "",
    "Employee_name": "",
    "Employees_count": "367",
    "Follow_count": "\n                88,413 followers\n            ",
    "Founded_on": "\n        \n                  2009\n                \n      ",
    "Headquarters": "\n        \n                    Zurich\n                \n      ",
    "If_primary_location": "no",
    "Industry": "\n                    Software Development\n                ",
    "Like_count": "1",
    "Original_URL": "https://www.linkedin.com/company/scandit/",
    "Page_URL": "https://www.linkedin.com/company/scandit/",
    "Post_Link": "https://www.linkedin.com/posts/scandit_a-shelf-can-look-perfect-and-still-be-quietly-activity-7515686678263382016-NYo8",
    "Post_body": "\n    A shelf can look perfect and still be quietly costing you sales. 💸\n\nOne missing label. One price that doesn't match the system. One product in the wrong spot.\n\nOur Planogram & Price Compliance solution catches:\n\n✅ Missing labels\n✅ Unexpected labels\n✅ Incorrect label order\n✅ Incorrect prices\n\nAnd it doesn't stop at the shelf. It surfaces the broader trends behind these errors so your teams can dig into the root cause and plan smarter.\n\nSee how: https://okt.to/fqXSED\n  ",
    "Post_image_URL": "https://media.licdn.com/dms/image/v2/D4E10AQGf53Nb-hZscA/image-shrink_1280/B4EaE0VFj3H0Ac-/0/1791879305810?e=2147483647&amp;v=beta&amp;t=-U1xzCxrglZPLcskNcEJ7OMEH1iPvqzvZgvLrK9oyWA",
    "Posted_date": "\n                  \n                    \n\n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n\n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n\n      19h\n  \n                  \n              ",
    "Poster": "\n              Scandit\n            ",
    "Specialties": "\n        \n                  Image Recognition, Optical Character Recognition (OCR), Computer Vision, Transportation and Logistics, Healthcare, Barcode Scanning Software, Augmented Reality, Retail Software, Enterprise Software, Last Mile Solutions, BYOD Solutions, Digital Transformation, and Machine Learning\n                \n      ",
    "Type": "\n        \n                  Privately Held\n                \n      ",
    "Website": "\n      https://www.scandit.com\n      \n  \n\n    "
  }
]

⚠️ Important Notes & Best Practices

This template scrapes what’s visible on the company profile page; some fields may be missing if not shown publicly.
For stability, run with the Desktop App as instructed by the template.
If you run into verification checks or loading issues, pause/retry and review the built-in browser behavior.

❓ FAQs

Why are some fields blank in my export?

LinkedIn company pages only display what the company has chosen to share publicly. If a field is blank, it usually means:

The company hasn't filled in that section (e.g., no website listed)
The information is only visible to logged-in users or connections
LinkedIn restricts visibility based on your session or location

Do I need to be logged in to LinkedIn?

This template works with publicly visible data and doesn't require login for basic company info. However, some details may only appear when logged in. If you're getting limited results, try running the template while logged into LinkedIn in the built-in browser.

I keep hitting verification checks. What should I do?

LinkedIn uses verification checks to detect automated access. To handle them:

Pause the task when a check appears.
Complete the verification manually in the built-in browser.
Resume the task.

To reduce verification frequency: use the Desktop App, avoid scraping too many profiles too quickly, and consider using proxies or IP rotation for large jobs.

How many company URLs can I scrape at once?

The template supports up to 10,000 URLs per run. However, for large batches, consider breaking them into smaller chunks (500-1,000 at a time) to reduce the chance of interruptions and make monitoring easier.

Can I scrape job postings from these companies too?

This template focuses on company profile data only. To scrape job listings, use our LinkedIn Job Scraper or the LinkedIn Job Search Scraper by URL. You can combine results from both templates to build a complete picture of each company's profile and hiring activity.

Can I get employee lists or individual profiles?

No. This template extracts company-level data only (name, size, HQ, etc.). It does not scrape individual employee profiles or contact information. Scraping personal data from LinkedIn raises legal and ethical concerns—stick to company-level public data.

How do I get LinkedIn company URLs in bulk?

A few ways to build your URL list:

LinkedIn Search: Search for companies by industry, location, or size, then copy the URLs manually.
Sales Navigator: Export company lists if you have a subscription.
Other scrapers: Use our LinkedIn Posts Scraper to find companies posting about specific topics, then extract their profile URLs.
Third-party lists: Purchase or download company lists from data providers.

Is it legal to scrape LinkedIn company data?

Scraping publicly available company data is generally permitted for research and analysis. However, LinkedIn's Terms of Service restrict automated data collection. To stay on the safe side:

Only scrape publicly visible information
Don't scrape personal/employee data
Use the data for legitimate business purposes
Don't resell raw scraped data

For more details, read our guide on scraping LinkedIn public data.

🛠 How to Use: Step-by-Step Guide

1. Start the template

Click "Try it!" or "Start" to load the template.

2. Enter your scraping parameters

On the input screen, fill in your keyword and filter options.

✍🏻 Input Fields Explained

Parameter	Required?	Description	Example
LinkedIn Company URLs (up to 10,000)	Required	Enter LinkedIn company page URLs to scrape. Supports up to 10,000 entries (one per line).	https://www.linkedin.com/company/google/

3. Run the scraper

Click "Start" and select a run mode. (Greyed-out modes are not supported for this template.)
Octoparse will automatically browse the target website, load search results, scroll pages, and extract all matching products.

4. Monitor & Handle Interruptions

Scraping duration may vary based on the number of products returned for your search.
If a CAPTCHA appears, pause the task, solve it manually, then resume the run.

5. Export your data

Once scraping completes, go to the Output section to review.
Export the results - e.g. as CSV or Excel - for further analysis, filtering, or storage.

Input

Use these field names and accepted formats when configuring the template in Console or through the API.

Field	Type	Required	API
LinkedIn Company URLs (up to 10,000)Field key: `linkedIn_Company_URLs`	string (multiple values)	Yes	Yes

Input

{
  "linkedIn_Company_URLs": [
    "https://www.linkedin.com/company/scandit/",
    "https://www.linkedin.com/company/ef-education-first/",
    "https://www.linkedin.com/company/magellan-centres-medicaux/"
  ]
}

Output

Review the 28 fields returned by this template before connecting the data to your workflow.

Field	Type	Example
`About_us`	string	Scandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence. We enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included. Visit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us.
`Address`	string	`Shibuya City Tokyo, 150-6139, JP`
`Address_Link`	string	`https://www.bing.com/maps?where=Shibuya+City+Tokyo+150-6139+JP&trk=org-locations_url`
`Avatar_URL`	string	`-`
`Comment_count`	string	`-`
`Company_Intro`	string	Scandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence. We enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included. Visit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us.
`Company_name`	string	`Scandit`
`Company_size`	string	`201-500 employees`
`Employee_intro`	string	`-`
`Employee_link`	string	`-`
`Employee_name`	string	`-`
`Employees_count`	string	`367`
`Follow_count`	string	`88,413 followers`
`Founded_on`	string	`2009`
`Headquarters`	string	`Zurich`
`If_primary_location`	string	`no`
`Industry`	string	`Software Development`
`Like_count`	string	`1`
`Original_URL`	string	`https://www.linkedin.com/company/scandit/`
`Page_URL`	string	`https://www.linkedin.com/company/scandit/`
`Post_Link`	string	`https://www.linkedin.com/posts/scandit_a-shelf-can-look-perfect-and-still-be-quietly-activity-7515686678263382016-NYo8`
`Post_body`	string	`A shelf can look perfect and still be quietly costing you sales. 💸 One missing label. One price that doesn't match the system. One product in the wrong spot. Our Planogram & Price Compliance solution catches: ✅ Missing labels ✅ Unexpected labels ✅ Incorrect label order ✅ Incorrect prices And it doesn't stop at the shelf. It surfaces the broader trends behind these errors so your teams can dig into the root cause and plan smarter. See how: https://okt.to/fqXSED`
`Post_image_URL`	string	`https://media.licdn.com/dms/image/v2/D4E10AQGf53Nb-hZscA/image-shrink_1280/B4EaE0VFj3H0Ac-/0/1791879305810?e=2147483647&v=beta&t=-U1xzCxrglZPLcskNcEJ7OMEH1iPvqzvZgvLrK9oyWA`
`Posted_date`	string	`19h`
`Poster`	string	`Scandit`
`Specialties`	string	`Image Recognition, Optical Character Recognition (OCR), Computer Vision, Transportation and Logistics, Healthcare, Barcode Scanning Software, Augmented Reality, Retail Software, Enterprise Software, Last Mile Solutions, BYOD Solutions, Digital Transformation, and Machine Learning`
`Type`	string	`Privately Held`
`Website`	string	`https://www.scandit.com`

Output

[
  {
    "About_us": "\n              \nScandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence. \n\nWe enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included. \n\nVisit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us. \n          ",
    "Address": "Shibuya City                                                                  Tokyo, 150-6139, JP ",
    "Address_Link": "https://www.bing.com/maps?where=Shibuya+City+Tokyo+150-6139+JP&trk=org-locations_url",
    "Avatar_URL": "",
    "Comment_count": "",
    "Company_Intro": "\n              \nScandit is the leader in smart data capture giving superpowers to workers, customers and businesses by providing actionable insights and automating end-to-end processes. Our Smart Data Capture platform enables smart devices, such as smartphones, handheld computers, drones, digital eyewear, robots and fixed cameras to interact with physical items by capturing data from barcodes, text, IDs and objects with unmatched speed, accuracy, and intelligence. \n\nWe enable innovation that delivers significant cost savings, increases employee retention and customer loyalty. Scandit partners with customers at every step with trials, solution design, integration and customer success support included. \n\nVisit scandit.com to learn why market leaders across retail, transport and logistics, healthcare and manufacturing like Instacart, Levi Strauss & Co., Sephora, Lufthansa and FedEx trust us. \n          ",
    "Company_name": "\n                      Scandit\n                      \n                    ",
    "Company_size": "\n        \n                  \n\n    \n    \n    \n    \n    \n    \n    \n    \n    \n\n        201-500 employees\n  \n\n                \n      ",
    "Employee_intro": "",
    "Employee_link": "",
    "Employee_name": "",
    "Employees_count": "367",
    "Follow_count": "\n                88,413 followers\n            ",
    "Founded_on": "\n        \n                  2009\n                \n      ",
    "Headquarters": "\n        \n                    Zurich\n                \n      ",
    "If_primary_location": "no",
    "Industry": "\n                    Software Development\n                ",
    "Like_count": "1",
    "Original_URL": "https://www.linkedin.com/company/scandit/",
    "Page_URL": "https://www.linkedin.com/company/scandit/",
    "Post_Link": "https://www.linkedin.com/posts/scandit_a-shelf-can-look-perfect-and-still-be-quietly-activity-7515686678263382016-NYo8",
    "Post_body": "\n    A shelf can look perfect and still be quietly costing you sales. 💸\n\nOne missing label. One price that doesn't match the system. One product in the wrong spot.\n\nOur Planogram & Price Compliance solution catches:\n\n✅ Missing labels\n✅ Unexpected labels\n✅ Incorrect label order\n✅ Incorrect prices\n\nAnd it doesn't stop at the shelf. It surfaces the broader trends behind these errors so your teams can dig into the root cause and plan smarter.\n\nSee how: https://okt.to/fqXSED\n  ",
    "Post_image_URL": "https://media.licdn.com/dms/image/v2/D4E10AQGf53Nb-hZscA/image-shrink_1280/B4EaE0VFj3H0Ac-/0/1791879305810?e=2147483647&amp;v=beta&amp;t=-U1xzCxrglZPLcskNcEJ7OMEH1iPvqzvZgvLrK9oyWA",
    "Posted_date": "\n                  \n                    \n\n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n\n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n    \n\n      19h\n  \n                  \n              ",
    "Poster": "\n              Scandit\n            ",
    "Specialties": "\n        \n                  Image Recognition, Optical Character Recognition (OCR), Computer Vision, Transportation and Logistics, Healthcare, Barcode Scanning Software, Augmented Reality, Retail Software, Enterprise Software, Last Mile Solutions, BYOD Solutions, Digital Transformation, and Machine Learning\n                \n      ",
    "Type": "\n        \n                  Privately Held\n                \n      ",
    "Website": "\n      https://www.scandit.com\n      \n  \n\n    "
  }
]

Run LinkedIn Company Profile Scraper with the API

Prepare the supported input, start one cloud task, then poll and export the result with the returned identifiers.

Prepare parameters

Use the API-enabled field names from the Input tab to build the parameters object.

Start the task

Call executeTask once, then save taskId and lotNo from the accepted response.

Poll and export the result

Call exportData with the same taskId and lotNo until the completed rows are returned.

POST/api/agentTools/executeTask

GET/api/agentTools/exportData

curl -X POST 'https://openapi.octoparse.com/api/agentTools/executeTask' \
  -H 'x-api-key: op_sk_xxxxx' \
  -H "Content-Type: application/json" \
  -d '{"templateName":"aaaaaaaaa","taskName":"LinkedIn Company Profile Scraper API run","parameters":"{\"linkedIn_Company_URLs\":[\"https://www.linkedin.com/company/scandit/\",\"https://www.linkedin.com/company/ef-education-first/\",\"https://www.linkedin.com/company/magellan-centres-medicaux/\"]}"}'

# Reuse taskId and lotNo from the accepted response.
curl -G 'https://openapi.octoparse.com/api/agentTools/exportData' \
  -H 'x-api-key: op_sk_xxxxx' \
  --data-urlencode "taskId=<taskId>" \
  --data-urlencode "lotNo=<lotNo>" \
  --data-urlencode "exportFileType=JSON"