# LinkedIn Company Scraper – Employees, Followers & Firmographics (`foxlabs/linkedin-company-scraper`) Actor
Scrape public LinkedIn company pages — no login, no cookies. Get exact employee count, followers, website domain, HQ address, description & logo as clean JSON/CSV/Excel. For B2B lead-gen, TAM sizing & firmographic enrichment.
- **URL**: https://apify.com/foxlabs/linkedin-company-scraper.md
- **Developed by:** [Berkan Kaplan](https://apify.com/foxlabs) (community)
- **Categories:** Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $4.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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 Scraper – Employees, Followers & Firmographics
**Turn any company's public LinkedIn page into clean firmographic JSON — no login, no cookies.** Give it company handles or URLs and get **exact employee count**, **follower count**, **website domain**, **HQ address**, description & logo. Built for B2B lead generation, TAM sizing and firmographic enrichment.
**Public data only:** this reads the logged-out, publicly visible company page — no account, no cookies, no session. JSON / CSV / Excel out.
---
### Quick start
```json
{
"companies": ["microsoft", "https://www.linkedin.com/company/stripe/", "apify"]
}
````
Paste company handles (`microsoft`), full URLs (`https://www.linkedin.com/company/stripe/`) or `linkedin.com/company/...` — one per line. That's it.
| Company | Website | Employees | Followers | City | Country |
|---|---|---|---|---|---|
| Microsoft | microsoft.com | 232,244 | 28.3M | Redmond | US |
| Stripe | stripe.com | 15,699 | 1.5M | South San Francisco | US |
***
### Output fields
`name, website (domain), websiteUrl, employeeCount (exact), employeeCountFormatted, employeeCountCompact, companySizeBucket, followers, followersCompact, description, slogan, addressStreet, addressLocality, addressRegion, addressPostalCode, addressCountry, logoUrl, linkedinUrl, scrapedAtIso`
- **Exact employee count** — the real headcount LinkedIn shows (not a bucket), ideal for TAM sizing.
- **Company size band** (`companySizeBucket`) — LinkedIn's standard 1-10 … 10001+ bands, the field B2B teams filter on for ICP.
- **Website domain** — the company's own site, the clean key to enrich/merge with other B2B sources.
- **Follower count** — brand-reach signal.
> **Tip:** use the exact company handle or full URL (`https://www.linkedin.com/company/anthropicresearch/`), not a guessed name — a short handle can resolve to a different namesake company.
### Use cases
- **B2B lead generation** — enrich a list of target companies with firmographics before outreach.
- **TAM / market sizing** — exact headcount + HQ across a company list.
- **CRM enrichment** — fill in employee size, website and HQ from a LinkedIn URL.
### How it works
Reads the company's **public** LinkedIn page (logged-out) and parses the page's structured data. **No login, no cookies, no account.** Routes through a datacenter proxy by default (enough for public pages, keeps cost low); switch to residential only if you scrape at very high volume.
***
### Data source & legal
This Actor is an independent tool and is **not affiliated with, endorsed by, or sponsored by LinkedIn Corporation**. LinkedIn® is a registered trademark of LinkedIn Corporation. It collects only **publicly available** company data (logged-out, no authentication). You are responsible for using the output lawfully and in line with applicable terms, GDPR/CCPA and legitimate-interest rules. Provided as-is, not legal advice.
***
### Changelog
#### 0.1.0 — 2026-06-09
- Initial release: public LinkedIn company pages → clean firmographic JSON (exact employee count, company size band, followers, website domain, HQ address, description, logo). Cookieless, datacenter-proxy, JSON/CSV/Excel.
***
*Built by foXLabs.*
# Actor input Schema
## `companies` (type: `array`):
Company LinkedIn URLs or handles — one per line. Accepts "microsoft", "https://www.linkedin.com/company/stripe/", or "linkedin.com/company/apify".
## `maxResults` (type: `integer`):
Cap the number of companies scraped.
## `proxyConfiguration` (type: `object`):
Proxy to route requests through. Apify Proxy (automatic) is enough for public company pages; switch to residential only if you hit blocks at very high volume.
## Actor input object example
```json
{
"companies": [
"microsoft",
"stripe",
"apify"
],
"maxResults": 1000,
"proxyConfiguration": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
No description
# 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 = {
"companies": [
"microsoft",
"https://www.linkedin.com/company/stripe/"
],
"maxResults": 1000,
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("foxlabs/linkedin-company-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 = {
"companies": [
"microsoft",
"https://www.linkedin.com/company/stripe/",
],
"maxResults": 1000,
"proxyConfiguration": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("foxlabs/linkedin-company-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 '{
"companies": [
"microsoft",
"https://www.linkedin.com/company/stripe/"
],
"maxResults": 1000,
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call foxlabs/linkedin-company-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=foxlabs/linkedin-company-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "LinkedIn Company Scraper – Employees, Followers & Firmographics",
"description": "Scrape public LinkedIn company pages — no login, no cookies. Get exact employee count, followers, website domain, HQ address, description & logo as clean JSON/CSV/Excel. For B2B lead-gen, TAM sizing & firmographic enrichment.",
"version": "0.1",
"x-build-id": "3gi3O3kMy7iTaoaIe"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/foxlabs~linkedin-company-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-foxlabs-linkedin-company-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/foxlabs~linkedin-company-scraper/runs": {
"post": {
"operationId": "runs-sync-foxlabs-linkedin-company-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/foxlabs~linkedin-company-scraper/run-sync": {
"post": {
"operationId": "run-sync-foxlabs-linkedin-company-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"companies"
],
"properties": {
"companies": {
"title": "LinkedIn companies",
"type": "array",
"description": "Company LinkedIn URLs or handles — one per line. Accepts \"microsoft\", \"https://www.linkedin.com/company/stripe/\", or \"linkedin.com/company/apify\".",
"items": {
"type": "string"
}
},
"maxResults": {
"title": "Max results",
"minimum": 1,
"maximum": 100000,
"type": "integer",
"description": "Cap the number of companies scraped.",
"default": 1000
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Proxy to route requests through. Apify Proxy (automatic) is enough for public company pages; switch to residential only if you hit blocks at very high volume.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```