# LinkedIn Company People Scraper (`maximedupre/linkedin-company-people-scraper`) Actor
Scrape LinkedIn company People pages with your LinkedIn browser cookie export. Export employee profile URLs, visible names, roles, locations, company context, and scrape metadata.
- **URL**: https://apify.com/maximedupre/linkedin-company-people-scraper.md
- **Developed by:** [Maxime Dupré](https://apify.com/maximedupre) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.75 / 1,000 linkedin company people
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
### 🔎 LinkedIn company people scraper
LinkedIn Company People Scraper extracts people from [LinkedIn](https://www.linkedin.com/) company People pages using your own LinkedIn browser session cookies. Add LinkedIn company URLs, People URLs, or company slugs, then export employee profile URLs, visible names, roles, locations, company context, matched keywords, and scrape metadata.
Use it when you need a repeatable company employee export for prospect research, recruiting research, account mapping, lead list enrichment, market research, or CRM prep. The dataset is built for practical downstream work: each saved row is one LinkedIn company person with a stable profile URL and the source company target that produced it.
For a small first run, keep the prefilled company People URLs and the default `Total employee limit` of `13`. Use the [Copy Cookies Chrome extension](https://chromewebstore.google.com/detail/copy-cookies/jcbpglbplpblnagieibnemmkiamekcdg) from an open LinkedIn tab to copy your full browser cookie export, then paste it into the `LinkedIn cookies` input. You can download results as JSON, CSV, Excel, XML, RSS, or use the Apify API, schedules, webhooks, and integrations.
### ✅ What this actor does
- Scrapes LinkedIn company People pages.
- Accepts LinkedIn company slugs such as `stripe`, company URLs, and People URLs.
- Saves one dataset row per accepted company person.
- Returns LinkedIn profile URLs plus visible names, titles, locations, and profile images when LinkedIn exposes them.
- Keeps source company context, source target, result position, keyword filters, and scrape timestamp.
- Uses your LinkedIn browser cookie export to access LinkedIn company People surfaces. The export must include at least `li_at` and `JSESSIONID`.
- Charges only for saved company people.
This Actor is focused on company people lists. It does not scrape private LinkedIn content, personal email addresses, phone numbers, full profile pages, connection graphs, or Sales Navigator-only data.
### 📦 What data you get
Each row can include:
- `rowType`: always `linkedin_company_person`
- `personName`, `firstName`, and `lastName` when visible
- `jobTitle` and `location` when visible
- `profileUrl`, `profileId`, and `profileImageUrl`
- `connectionDegree` and `insights` when LinkedIn exposes them
- `companyName`, `companySlug`, `companyId`, and `companyUrl`
- `linkedinPeopleUrl`, `sourceTarget`, `sourceIndex`, and `sourceResultPosition`
- `matchedKeywords` and `scrapedAt`
Some fields can be empty because LinkedIn does not show the same details for every person, region, company, or session state. The most important field for most workflows is `profileUrl`.
### 🧭 Common use cases
- Build a list of employees for a target account.
- Map visible roles at companies you sell to or recruit from.
- Find LinkedIn profile URLs connected to a known company.
- Create seed lists for manual outreach, enrichment, or CRM review.
- Track company People pages over time with scheduled Apify runs.
- Export company people data to a spreadsheet, warehouse, webhook, or API workflow.
### 🚀 How to run it
1. Add one or more LinkedIn company targets.
2. Open LinkedIn in Chrome while logged in, then use the [Copy Cookies extension](https://chromewebstore.google.com/detail/copy-cookies/jcbpglbplpblnagieibnemmkiamekcdg) to copy the current tab's cookies.
3. Paste the full JSON cookie export into `LinkedIn cookies`. It must include at least `li_at` and `JSESSIONID`; keep the rest of the cookies too.
4. Set `Employee limit per company` and `Total employee limit`.
5. Optional: add `Keywords` to filter the LinkedIn People page by role, team, location, or phrase.
6. Start the Actor.
7. Open the dataset and export the rows or pull them through the API.
Good target examples:
- `stripe`
- `https://www.linkedin.com/company/stripe/`
- `https://www.linkedin.com/company/stripe/people/`
### 🛠️ Input
| Field | What it does |
| --- | --- |
| `companyTargets` | LinkedIn company slugs, company URLs, or People URLs. |
| `cookies` | Full JSON cookie export from an open LinkedIn browser tab. The recommended path is the Copy Cookies Chrome extension. The required minimum is `li_at` and `JSESSIONID`, but keeping the full export usually preserves the browser session better. |
| `maxEmployeesPerCompany` | Maximum people to save from each company target. |
| `maxTotalEmployees` | Maximum people to save across the whole run. |
| `keywords` | Optional keyword filters applied to LinkedIn company People pages. |
#### Example input
```json
{
"companyTargets": [
"https://www.linkedin.com/company/microsoft/people/",
"google",
"https://www.linkedin.com/company/stripe/"
],
"cookies": "[{\"name\":\"li_at\",\"value\":\"...\",\"domain\":\".www.linkedin.com\",\"path\":\"/\"},{\"name\":\"JSESSIONID\",\"value\":\"ajax:...\",\"domain\":\".www.linkedin.com\",\"path\":\"/\"}]",
"maxEmployeesPerCompany": 25,
"maxTotalEmployees": 50,
"keywords": ["engineering"]
}
````
### 📊 Output example
```json
{
"rowType": "linkedin_company_person",
"personName": "Luba Libov",
"firstName": "Luba",
"lastName": "Libov",
"jobTitle": "Senior Software Engineer at Microsoft",
"location": null,
"profileUrl": "https://www.linkedin.com/in/luba-libov-a913aa80/",
"profileId": "luba-libov-a913aa80",
"profileImageUrl": null,
"connectionDegree": null,
"insights": null,
"companyName": null,
"companySlug": "microsoft",
"companyId": null,
"companyUrl": "https://www.linkedin.com/company/microsoft/",
"linkedinPeopleUrl": "https://www.linkedin.com/company/microsoft/people/",
"sourceTarget": "https://www.linkedin.com/company/microsoft/people/",
"sourceIndex": 0,
"sourceResultPosition": 1,
"matchedKeywords": [],
"scrapedAt": "2026-05-26T14:36:00.000Z"
}
```
### 💳 Pricing
This Actor uses pay-per-event pricing. You are charged for each LinkedIn company person saved to the dataset. Runs that save no people do not charge person events.
Use `Total employee limit` for a predictable first run, then increase it when the output matches what you need.
### ⚠️ Limits and caveats
LinkedIn can return fewer visible people than the number shown on a company page, and fields vary by company, region, page layout, and source state. If a company People page is temporarily unavailable or shows limited details, the Actor saves the rows it can verify and finishes gracefully.
This Actor depends on a valid LinkedIn browser session. For best results, use fresh cookies from the same account and keep limits realistic. Large keyword-filtered runs may return fewer rows when LinkedIn has fewer matching visible people.
### ❓ FAQ
#### Do I need to provide LinkedIn cookies?
Yes. Paste the full LinkedIn cookie export from an open, working LinkedIn tab. The easiest path is to install [Copy Cookies](https://chromewebstore.google.com/detail/copy-cookies/jcbpglbplpblnagieibnemmkiamekcdg), open LinkedIn while logged in, copy the current tab's cookies, and paste the full JSON result into the Actor input. The actor requires at least `li_at` and `JSESSIONID`, and keeps the other cookies because they can help preserve the browser session. If those cookies expire or LinkedIn asks the session to verify access, refresh them in your browser and start a new run.
#### Can I scrape every employee at a company?
Not always. The Actor collects visible people from LinkedIn company People surfaces. LinkedIn may limit what is visible or loadable for a company, keyword, region, or session.
#### Can I filter by role or location?
Use the `Keywords` field to apply LinkedIn People page keyword filters. For example, try `engineering`, `sales`, `founder`, or a location phrase when LinkedIn supports that query for the company People page.
#### Does this return emails or phone numbers?
No. It returns LinkedIn company people data such as profile URLs, visible names, visible roles, locations, and source company context.
#### Can I use the results with the Apify API?
Yes. After a run finishes, you can export the dataset or fetch it through the Apify API. You can also schedule runs and connect them to webhooks or integrations.
### 📝 Changelog
- 0.1: Initial release.
### 🆘 Support
For issues, questions, or feature requests, [file a ticket](https://console.apify.com/actors/maximedupre~linkedin-company-people-scraper/issues) and I'll fix or implement it in less than 24h 🫡
### 🔗 Other actors
- [LinkedIn Company Scraper ↗](https://apify.com/maximedupre/linkedin-company-scraper) - Scrape LinkedIn company profile facts from company URLs or slugs.
- [LinkedIn Posts Scraper ↗](https://apify.com/maximedupre/linkedin-posts-scraper) - Export public LinkedIn posts from profiles, companies, or direct post URLs.
- [Website Emails Scraper ↗](https://apify.com/maximedupre/website-emails-scraper) - Find public contact emails from websites you already care about.
- [Business Address Scraper ↗](https://apify.com/maximedupre/business-address-scraper) - Extract physical business addresses from company websites.
- [Google Shopping Ads Scraper ↗](https://apify.com/maximedupre/google-shopping-ads-scraper) - Collect live paid Shopping ad product data from Google Search.
**Made with ❤️ by Maxime Dupré**
# Actor input Schema
## `companyTargets` (type: `array`):
Paste LinkedIn company slugs, company URLs, or People URLs. Examples: microsoft, https://www.linkedin.com/company/microsoft/, and https://www.linkedin.com/company/microsoft/people/.
## `cookies` (type: `string`):
Paste the full JSON cookie export from your open LinkedIn tab. Recommended: install Copy Cookies, open linkedin.com while logged in, copy the current tab's cookies, and paste the whole result here. The export must include at least li\_at and JSESSIONID; keep all other cookies in the export because they can help preserve the session.
## `maxEmployeesPerCompany` (type: `integer`):
Maximum company people to save from each target before moving to the next company.
## `maxTotalEmployees` (type: `integer`):
Maximum company people to save across the whole run. Lower this for a quick test, then increase it for larger exports.
## `keywords` (type: `array`):
Optional LinkedIn People page keyword filters, such as engineering, sales, founder, or a location phrase. Leave empty to collect the default company People page.
## Actor input object example
```json
{
"companyTargets": [
"https://www.linkedin.com/company/microsoft/people/",
"https://www.linkedin.com/company/google/people/",
"https://www.linkedin.com/company/apple/people/",
"https://www.linkedin.com/company/amazon/people/"
],
"maxEmployeesPerCompany": 15,
"maxTotalEmployees": 13
}
```
# Actor output Schema
## `results` (type: `string`):
Open the dataset with LinkedIn company people data.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"companyTargets": [
"https://www.linkedin.com/company/microsoft/people/",
"https://www.linkedin.com/company/google/people/",
"https://www.linkedin.com/company/apple/people/",
"https://www.linkedin.com/company/amazon/people/"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("maximedupre/linkedin-company-people-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "companyTargets": [
"https://www.linkedin.com/company/microsoft/people/",
"https://www.linkedin.com/company/google/people/",
"https://www.linkedin.com/company/apple/people/",
"https://www.linkedin.com/company/amazon/people/",
] }
# Run the Actor and wait for it to finish
run = client.actor("maximedupre/linkedin-company-people-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"companyTargets": [
"https://www.linkedin.com/company/microsoft/people/",
"https://www.linkedin.com/company/google/people/",
"https://www.linkedin.com/company/apple/people/",
"https://www.linkedin.com/company/amazon/people/"
]
}' |
apify call maximedupre/linkedin-company-people-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=maximedupre/linkedin-company-people-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "LinkedIn Company People Scraper",
"description": "Scrape LinkedIn company People pages with your LinkedIn browser cookie export. Export employee profile URLs, visible names, roles, locations, company context, and scrape metadata.",
"version": "0.1",
"x-build-id": "wYiGmYcDo6lfBwKLy"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/maximedupre~linkedin-company-people-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-maximedupre-linkedin-company-people-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/maximedupre~linkedin-company-people-scraper/runs": {
"post": {
"operationId": "runs-sync-maximedupre-linkedin-company-people-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/maximedupre~linkedin-company-people-scraper/run-sync": {
"post": {
"operationId": "run-sync-maximedupre-linkedin-company-people-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"companyTargets",
"cookies"
],
"properties": {
"companyTargets": {
"title": "LinkedIn company targets",
"minItems": 1,
"maxItems": 100,
"type": "array",
"description": "Paste LinkedIn company slugs, company URLs, or People URLs. Examples: microsoft, https://www.linkedin.com/company/microsoft/, and https://www.linkedin.com/company/microsoft/people/.",
"items": {
"type": "string",
"minLength": 1
}
},
"cookies": {
"title": "LinkedIn cookies",
"minLength": 1,
"type": "string",
"description": "Paste the full JSON cookie export from your open LinkedIn tab. Recommended: install Copy Cookies, open linkedin.com while logged in, copy the current tab's cookies, and paste the whole result here. The export must include at least li_at and JSESSIONID; keep all other cookies in the export because they can help preserve the session."
},
"maxEmployeesPerCompany": {
"title": "Employee limit per company",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Maximum company people to save from each target before moving to the next company.",
"default": 15
},
"maxTotalEmployees": {
"title": "Total employee limit",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Maximum company people to save across the whole run. Lower this for a quick test, then increase it for larger exports.",
"default": 13
},
"keywords": {
"title": "Keywords",
"maxItems": 25,
"type": "array",
"description": "Optional LinkedIn People page keyword filters, such as engineering, sales, founder, or a location phrase. Leave empty to collect the default company People page.",
"items": {
"type": "string",
"minLength": 1
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```