LinkedIn API · Endpoint

LinkedIn Company Life Page 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.life.get, checks its price and runs it with the same credits as the REST API.

Get a company's Life page: the sections, text and photos it shows to candidates.

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

Start free, 100 credits API reference

Response completed

{  "title": "Microsoft: Life",  "company_slug": "microsoft",  "content_length": 0,  "description": "Microsoft | 28,915,963 followers on LinkedIn. Every company has a mission. What's ours? To empower every person and every organization to a…",  "images": [],  "sections": []}

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	LinkedIn company slug or HTTPS /company/{slug}/life URL.	https://www.linkedin.com/company/microsoft/life

Response

Fields it returns

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

Field	Type	What it is	Example
title	string	The Life page's title.	Microsoft: Life
company_slug	string	The company's name in its LinkedIn address.	microsoft
content_length	integer	How many characters of text the page has.	0
description	string	The page's description.	Microsoft \| 28,915,963 followers on LinkedIn. Every company has…
images	array	Photos on the page.	empty in this sample
sections	array	The page's sections.	empty in this sample

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.life.get",  "input": {    "url": "https://www.linkedin.com/company/microsoft/life"  }}'

import jsonimport osimport requestspayload = json.loads(r'''{  "capability": "linkedin.company.life.get",  "input": {    "url": "https://www.linkedin.com/company/microsoft/life"  }}''')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.life.get",  "input": {    "url": "https://www.linkedin.com/company/microsoft/life"  }}),});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

With Upscrape, get the LinkedIn company life page for https://www.linkedin.com/company/microsoft/life. Tell me what it costs before you run it, then show the results as a table.

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