LinkedIn API · Endpoint

LinkedIn Company API

Q: What do I send?

Send url. The input fields below list every option with its type and limits.

Q: Can my AI agent call it?

Yes, over MCP: the agent finds linkedin.company.get, checks its price and runs it with the same credits as the REST API.

Get a company page from its URL: industry, size, employee and follower counts, headquarters, website, specialties, offices and the pages it owns.

1 credit per call
Failed calls are free
Updated 14 Oct 2026
linkedin.company.get

Start free, 100 credits API reference

Response completed

{  "name": "Microsoft",  "followers": 29228638,  "availability": "available",  "canonical_url": "https://www.linkedin.com/company/microsoft",  "company_size": "10,001+ employees",  "country": "US",  "description": "Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and sho…",  "employee_count": 231728,  "entity_type": "company",  "headquarters": "Redmond, Washington",  "industry": "Software Development",  "locality": "Redmond",  "organization_id": "1035",  "organization_type": "Public Company",  "postal_code": "98052",  "posts_count": 0,  "region": "Washington",  "slug": "microsoft",  "street_address": "1 Microsoft Way",  "website": "https://news.microsoft.com/",  "counts": {    "followers": {      "raw": "29,228,638 followers",      "relation": "exact",      "value": 29228638    },    "employee_count": {      "raw": "231728",      "relation": "exact",      "value": 231728    }  },  "affiliated_pages": [    {      "name": "GitHub",      "location": "San Francisco, CA",      "industry": "Software Development",      "url": "https://www.linkedin.com/company/github"    },    {      "name": "Microsoft Learn",      "location": "Redmond, Washington",      "industry": "IT Services and IT Consulting",      "url": "https://www.linkedin.com/showcase/microsoftlearn/"    }  ],  "locations": [    {      "address_line_1": "1 Microsoft Way",      "address_line_2": "Redmond, Washington 98052, US",      "primary": true    },    {      "address_line_1": "1 Denison Street",      "address_line_2": "North Sydney, NSW 2060, AU"    }  ],  "similar_pages": [    {      "name": "Google",      "location": "Mountain View, CA",      "industry": "Software Development",      "url": "https://www.linkedin.com/company/google"    },    {      "name": "Amazon",      "industry": "Software Development",      "url": "https://www.linkedin.com/company/amazon"    }  ],  "specialties": [    "Business Software",    "Developer Tools"  ]}

Try it live, free

Input

What you send

The input object of the request, with every field the endpoint accepts.

Field	Type	Required	What it does	Example
url	string	yes	The company's URL, such as https://www.linkedin.com/company/microsoft, or just its name in the URL.	https://www.linkedin.com/company/microsoft

Response

Fields it returns

What each record in the response holds, with the values from the sample above.

Field	Type	What it is	Example
name	string	The company's name.	Microsoft
industry	string	The industry the page lists.	Software Development
company_size	string	The size band the page shows.	10,001+ employees
employee_count	integer	Employees on LinkedIn, as the page counts them.	231,728
followers	integer	Page followers.	29,228,638
headquarters	string	Where the company is based.	Redmond, Washington
website	string	The website the page links to.	https://news.microsoft.com/
affiliated_pages	array	Pages the company owns, such as GitHub for Microsoft.	47 records
affiliated_pages[].industry	string	That page's industry.	Software Development
affiliated_pages[].location	string	Where that page's organisation is.	San Francisco, CA
affiliated_pages[].name	string	The affiliated page's name.	GitHub
affiliated_pages[].url	string	That page on LinkedIn.	https://www.linkedin.com/company/github
availability	string	Whether the page could be read publicly.	available
canonical_url	string	The page's main LinkedIn address.	https://www.linkedin.com/company/microsoft
country	string	The two-letter country code.	US
counts	object	Counts with how exactly LinkedIn states them.	2 fields
counts.*	object		3 fields
counts.*.raw	string	The count as LinkedIn writes it.	231728
counts.*.relation	string	Whether the count is exact or at least that number, such as 500+.	exact
counts.*.value	integer	The count as a number.	231,728
description	string	The page's About text.	Every company has a mission. What's ours? To empower every pers…
entity_type	string	Whether it is a company or a showcase page.	company
locality	string	The city of the headquarters.	Redmond
locations	array	Offices the page lists.	45 records
locations[].address_line_1	string	The office's street address.	1 Microsoft Way
locations[].address_line_2	string	The office's city, region and postal code.	Redmond, Washington 98052, US
locations[].primary	boolean	Whether it is the main office.	true
organization_id	string	LinkedIn's numeric ID for the company, used by the jobs and posts endpoints.	1035
organization_type	string	The kind of organisation, such as a public company.	Public Company
postal_code	string	The headquarters' postal code.	98052
posts_count	integer	Posts shown on the public page.	0
region	string	The state or region of the headquarters.	Washington
similar_pages	array	Companies LinkedIn shows as similar.	10 records
similar_pages[].industry	string	That company's industry.	Software Development
similar_pages[].location	string	Where that company is.	Mountain View, CA
similar_pages[].name	string	The similar company's name.	Google
similar_pages[].url	string	That company on LinkedIn.	https://www.linkedin.com/company/google
slug	string	The name in the page's LinkedIn address.	microsoft
specialties	array	What the company says it does.	Business Software, Developer Tools, Home & Educational Software
street_address	string	The headquarters' street address.	1 Microsoft Way

REST API · MCP server

Call it from your code, or ask your agent

Set UPSCRAPE_API_KEY to your key and copy a working request.

curl --request POST \  --url https://data.upscrape.com/execute \  --header "Authorization: Bearer $UPSCRAPE_API_KEY" \  --header "Content-Type: application/json" \  --header "Prefer: wait=30" \  --data '{  "capability": "linkedin.company.get",  "input": {    "url": "https://www.linkedin.com/company/microsoft"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "linkedin.company.get",  "input": {    "url": "https://www.linkedin.com/company/microsoft"  }}''')response = requests.post(    "https://data.upscrape.com/execute",    headers={        "Authorization": f"Bearer {os.environ['UPSCRAPE_API_KEY']}",        "Content-Type": "application/json",        "Prefer": "wait=30",    },    json=payload,)response.raise_for_status()print(json.dumps(response.json(), indent=2))

const response = await fetch("https://data.upscrape.com/execute", {  method: "POST",  headers: {    "Authorization": `Bearer ${process.env.UPSCRAPE_API_KEY}`,    "Content-Type": "application/json",    "Prefer": "wait=30",  },  body: JSON.stringify({  "capability": "linkedin.company.get",  "input": {    "url": "https://www.linkedin.com/company/microsoft"  }}),});if (!response.ok) {  throw new Error(`Upscrape request failed: ${response.status}`);}console.log(JSON.stringify(await response.json(), null, 2));

In your AI agent Claude · Cursor · any MCP client

1Add the Upscrape MCP server

https://data.upscrape.com/mcp

2Ask for the data in plain words

Use Upscrape to pull Microsoft's LinkedIn company page. Give me its industry, employee count, followers and headquarters, and list the pages it owns, like GitHub.

The agent finds the endpoint, shows you the price, and runs it with your credits.

The same data from other platforms

Instahyre JobsCompany1 credit

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