# LinkedIn Headcount Tracker - Who Is Really Hiring? (`reapx/linkedin-company-tracker`) Actor

"They say they are scaling. Are they, or are they shrinking quietly?" Track a company's follower count, headcount and the field changes it never announced - so you see the direction, not the press release.

- **URL**: https://apify.com/reapx/linkedin-company-tracker.md
- **Developed by:** [Tarek Etman](https://apify.com/reapx) (community)
- **Categories:** Business, Jobs, Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $70.00 / 1,000 company profile collecteds

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

![reapX - the record of what changed](https://reapx.dev/reapx.gif)

## LinkedIn Company Headcount & Growth Tracker

> "Which companies in this sector are actually growing? Every one of them says they are hiring."

A careers page is marketing; the headcount trend is not. Track LinkedIn company profiles to extract headcount growth metrics, hiring rate, workforce totals, and company metadata.

### ⬇️ Input

Configure target company handles or slugs to track headcount trends and hiring rate.

| Field | Type | Description |
|---|---|---|
| `companies` | Array of strings | List of target company handles or slugs (for example `microsoft`, `google`, `openai`). |
| `maxUnits` | Integer | Safety cap on maximum company profile rows returned. Default: `50`. |
| `requestsPerMinute` | Integer | Pacing budget for outgoing requests per minute. Default: `60`. |

### ⬆️ Output

Each collected company profile emits a structured JSON object containing computed headcount fields:

- `headcountGrowth12m`: Computed 12-month headcount growth rate percentage.
- `hiringRate`: Calculated hiring pace metric based on active open roles versus workforce size.
- `companySlug`: Canonical company identifier string.
- `companyName`: Corporate company name.
- `followerCount`: Total follower count on LinkedIn.
- `industry`: Commercial industry sector.
- `headquarters`: Corporate headquarters location.
- `website`: Official corporate website address.
- `url`: Direct LinkedIn company page URL.
- `scrapedAt`: ISO 8601 timestamp when data was collected.

```json
{
  "headcountGrowth12m": 14.2,
  "hiringRate": 8.5,
  "companySlug": "microsoft",
  "companyName": "Microsoft",
  "followerCount": 28795664,
  "industry": "Software Development",
  "headquarters": "Redmond, WA",
  "website": "https://news.microsoft.com",
  "url": "https://www.linkedin.com/company/microsoft",
  "scrapedAt": "2026-08-06T00:00:00.000Z"
}
```

### How it works

1. Iterates through specified company handles.
2. Requests public company profile pages (`https://www.linkedin.com/company/<slug>`) over plain HTTP.
3. Parses Open Graph tags, LD+JSON schema graphs, and metadata for follower counts, descriptions, and company details.
4. Computes headcount growth trends and hiring rate indices.
5. Emits structured dataset records ready for competitive analysis and recruitment decks.

### ❓ FAQ

#### Do I need a proxy to run this actor?

No. This actor operates on plain datacenter HTTP connections with verified HTTP 200 responses.

#### How are headcount growth trends calculated?

Headcount trends and field changes require repeated observations across time. On initial runs, trend fields return `null` accompanied by explicit explanatory reasons that your baseline record starts today.

### 💬 Your feedback

Need custom company attributes or enterprise integration options? Contact us at reapxdev@proton.me.

***

reapx · reapx.dev · reapxdev@proton.me

# Actor input Schema

## `companies` (type: `array`):

Company handles or slugs, one per line - <code>microsoft</code>, <code>openai</code>. Track a whole competitive set together and compare the direction.

## `requestsPerMinute` (type: `integer`):

How quickly we work through your list. Slower is gentler on the source and steadier on long lists; quicker gets you the answer sooner.

## `maxUnits` (type: `integer`):

A ceiling on how many company records come back in one run, so a long list cannot run away with your budget.

## Actor input object example

```json
{
  "companies": [
    "microsoft",
    "google",
    "openai"
  ],
  "requestsPerMinute": 60,
  "maxUnits": 50
}
```

# Actor output Schema

## `results` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "microsoft",
        "google",
        "openai"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("reapx/linkedin-company-tracker").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": [
        "microsoft",
        "google",
        "openai",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("reapx/linkedin-company-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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",
    "google",
    "openai"
  ]
}' |
apify call reapx/linkedin-company-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,reapx/linkedin-company-tracker"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TNSZjYlAYe85CbcJ2/builds/z8YODMP4MkiQw7a21/openapi.json