# LinkedIn Company Scraper - $0.10 + $0.02 (`om_kh/linkedin-company-scraper`) Actor

Scrape LinkedIn company data: name, industry, headquarters, website, employee count, follower count and description. Clean rows for firmographic enrichment and competitive benchmarking. Pricing: $0.10 per subject checked + $0.02 per result. First 10 results free.

- **URL**: https://apify.com/om\_kh/linkedin-company-scraper.md
- **Developed by:** [omar khandji](https://apify.com/om_kh) (community)
- **Categories:** Lead generation, Social media, MCP servers
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $11.00 / 1,000 company changes

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## LinkedIn Company Monitor — Headcount & Growth Alerts (Vigia)

> Monitor LinkedIn company pages for your prospects or competitors and get only real changes: headcount growth, follower moves, new posts. Charged only on change, never per run. Ideal for sales-intel and competitive-intel agents.

### Free tier — 10 results free on every run

**The first 10 results of every run are free**, on every run you ever make —
not a one-off trial. Run it on your own subjects and see the real output before
you are billed for a single result.

One guard: the free allowance never covers more than half of a run, so a run
returning 6 results gets 3 free. That keeps the offer sustainable.

### What it does

Track a company's headcount and follower changes on LinkedIn. You get **only what changed since your last check** — never a full re-dump to diff yourself.

### Why Vigia — 5 advantages a raw scraper can't match

1. **You pay the alert price only for real change.** New-company change alerts are billed only for genuinely new company changes since your last check. A quiet run bills just the small source-check fee (the cost of looking) — never the alert price on unchanged data. Raw scrapers bill every row of a full re-scan every run.
2. **Never billed on a failed source.** The source check is charged only when the source actually responded. If it's down, you don't pay for our outage.
3. **Append-only delta + spike signal.** The first monitored run stores a free baseline; later runs deliver only what's new, plus a velocity-spike alert when volume suddenly surges (trend / review-bomb / hiring-surge).
4. **Hard cost cap you control.** Set `maxTotalChargeUsd` and the run can never bill above it — predictable spend, no surprise invoice.
5. **Agent-ready output.** Clean, normalized rows and a `RUN_SUMMARY.json` with ready-to-use signals — chainable from any MCP / A2A agent in one step.

### Example input

```json
{
  "companies": [
    "Stripe",
    "Notion"
  ],
  "monitorEnabled": true,
  "maxTotalChargeUsd": 1.0
}
```

Set `monitorEnabled: true` so the first run stores a free baseline and later runs return only new results. Pin a `monitorId` to keep separate targets from sharing state.

### Output

Each row is a normalized change record: `record_id`, `profile_id`, `platform`, `change_type`, `followers`, `delta`, `signals`, plus firmographic fields when the source provides them: `bio`, `website`, `industry`, `headquarters`. A `RUN_SUMMARY.json` accompanies every run with the aggregated signal (counts, velocity spikes, trend).

**Known limitation:** `latest_post_id` is always empty. The upstream company-data source returns firmographic/profile fields but no posts or activity feed, so this Actor cannot currently detect or return recent-post changes — only profile-level changes (followers, headcount, firmographics). If you need post-level monitoring, this isn't the right Actor for that job yet.

### How you're charged

- **Company change alert** — billed once per new company change since the last check (this is the only charge that scales with change).
- **Source check** ($0.10) — billed once per monitored target per run, **only when the source responded**. A failed source is free.
- **A quiet run bills only the source check** ($0.10), never the alert price. Vigia never scrapes the source itself; it chains a licensed scraper, caps every call, and passes you only the delta.

***

*Part of the Vigia monitoring suite — change-only billing, outage-safe, agent-ready.*

### Related scrapers

Same data, other sources — all with the same free tier, the same clean schema and the same pay-only-for-what-you-get billing:

| Actor |
|---|
| [ATS Jobs Search API | Any Company Domain | $2/1K, 3 Free](https://apify.com/om_kh/ats-jobs-api) |
| [Career Site Job Listing API | Careers Page Scraper | $2/1K](https://apify.com/om_kh/careers-page-scraper) |
| [Hiring Signals | $0.02/company | Buying Triggers](https://apify.com/om_kh/company-hiring-signals) |
| [Indeed Jobs Scraper - Listings, Companies & Salary](https://apify.com/om_kh/vigia-indeed-hiring-monitor) |
| [LinkedIn Jobs Scraper - Listings & Companies](https://apify.com/om_kh/vigia-linkedin-jobs-monitor) |
| [Glassdoor Reviews Scraper - Employer Ratings](https://apify.com/om_kh/vigia-glassdoor-review-monitor) |

### Support

Found a bug or have a feature request? Use the **Issues** tab on this Actor's Apify Store page, or message the author (`om_kh`) directly through Apify — every report gets a reply.

# Actor input Schema

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

Company names or LinkedIn company URLs to monitor.

## `currentProfiles` (type: `array`):

Skip the chained fetch and pass profile data directly (no upstream call, no fetch fee).

## `maxTotalChargeUsd` (type: `number`):

Hard maximum amount that this run may charge.

## `sources` (type: `array`):

Declare every upstream source before this run. Each item needs name, authorization, and estimated\_cost\_usd.

## `monitorEnabled` (type: `boolean`):

The first monitored run stores a free baseline. Later runs deliver and charge only real changes.

## `monitorId` (type: `string`):

Pins the persistent baseline to a name of your choice. Leave empty to derive it automatically.

## Actor input object example

```json
{
  "companies": [
    "Stripe",
    "Notion"
  ],
  "currentProfiles": [],
  "maxTotalChargeUsd": 1,
  "sources": [
    {
      "name": "Chained profile actor",
      "authorization": "public_structured_data",
      "estimated_cost_usd": 0
    }
  ],
  "monitorEnabled": false,
  "monitorId": ""
}
```

# Actor output Schema

## `report` (type: `string`):

A visual summary of delivery, charges, changes, and source issues.

## `results` (type: `string`):

Business-ready results in a sortable table. No JSON knowledge required.

## `csv` (type: `string`):

Results ready for spreadsheets, CRMs, and analytics tools.

## `excel` (type: `string`):

Results as an Excel workbook for non-technical teams.

## `runSummary` (type: `string`):

Machine-readable delivery, billing, and source diagnostics.

# 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": [
        "Stripe",
        "Notion"
    ]
};

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

# Prepare the Actor input
run_input = { "companies": [
        "Stripe",
        "Notion",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("om_kh/linkedin-company-scraper").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": [
    "Stripe",
    "Notion"
  ]
}' |
apify call om_kh/linkedin-company-scraper --silent --output-dataset

```

## MCP server setup

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

```

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/IDFWCZJ8laWKFbvmM/builds/5EtDfvVnr7Lxuoi5q/openapi.json