# LinkedIn Company Monitor — Headcount, Hires & Jobs (`ramsford/linkedin-company-monitor`) Actor

Watch any company's public LinkedIn page. Get employee count, growth velocity, recent posts and engagement, new hires, and open jobs — plus an AI narrative of what changed since last run. Pay per company report.

- **URL**: https://apify.com/ramsford/linkedin-company-monitor.md
- **Developed by:** [Don Johnson](https://apify.com/ramsford) (community)
- **Categories:** Lead generation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

$750.00 / 1,000 linkedin company monitor reports

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 Monitor — Track Headcount, Hires, Posts & Job Openings

**One report per company. Updated every time you run it. Tracks the four signals every BD, recruiter, investor and competitive-intel team actually wants.**

Stop tab-hopping LinkedIn pages. This actor watches any company's public LinkedIn page and returns a structured intelligence report covering:

- **Follower count + delta vs your last run**
- **Employees on LinkedIn + delta** (headcount growth signal)
- **Company size band, industry, HQ, founding year, specialties** — auto-extracted from the About page
- **Latest public posts** with reactions, comments, reposts, and AI-classified topic mix (Product launch, Hiring, Funding, Partnership, Customer story, Event, AI/ML, Thought leadership, etc.)
- **Open jobs total + sample roles + locations**
- **New-hire announcements** detected in recent posts (with senior-hire flagging)
- **An AI-written executive narrative** explaining what changed since last run

Pay-per-report pricing. No subscription. No login required.

---

### Why people use this

- **BD reps tracking a target list** — see *the day* a company starts hiring or announces a senior exec hire
- **Recruiters monitoring competitors** — spot when a rival begins/halts hiring
- **Investors** — track portfolio companies' growth velocity weekly with one scheduled run
- **PR / Brand teams** — measure your own LinkedIn follower velocity against competitors
- **Competitive intel teams** — see which competitors are pushing AI / launches / partnerships in their content
- **Agencies** — productize a "LinkedIn Intelligence" deliverable for clients without building the scraper

---

### What makes it different

**Most LinkedIn scrapers dump raw data.** This one dumps an **intelligence report** — structured, deduped, with delta vs the previous run baked in. That delta is the whole game. Run it once, you get a snapshot. Run it weekly, you get a hiring/growth/PR signal stream you can pipe straight into Slack, a CRM, or a spreadsheet.

The new-hire detector parses post text for phrases like *"please welcome"*, *"excited to welcome"*, *"joining us as our new"* — and flags senior hires (Chief / VP / Director / Head of). This is the single most-requested signal from BD teams and we surface it natively.

---

### Input

```json
{
    "companies": [
        { "name": "Acme Corp", "linkedinUrl": "https://www.linkedin.com/company/acme/" }
    ],
    "includePosts": true,
    "includeJobs": true,
    "maxPosts": 25,
    "maxJobs": 50,
    "reportStyle": "full"
}
````

| Field | Required | Default | Description |
|---|---|---|---|
| `companies[].name` | Yes | — | Company name (used in the report headline) |
| `companies[].linkedinUrl` | Yes | — | Public LinkedIn company page URL |
| `includePosts` | No | true | Scrape latest public posts + engagement + topic mix |
| `includeJobs` | No | true | Scrape `/jobs/` subpage |
| `maxPosts` | No | 25 | 5–100 |
| `maxJobs` | No | 50 | 5–200 |
| `reportStyle` | No | `full` | `full` (detailed markdown) or `brief` (short summary) |

***

### Output — one record per company

```jsonc
{
    "company": "Acme Corp",
    "linkedinUrl": "https://www.linkedin.com/company/acme/",
    "scrapedAt": "2026-05-16T12:00:00.000Z",
    "snapshot": {
        "followers": 81234,
        "employeesOnLinkedIn": 412,
        "companySize": "201-500 employees",
        "industry": "Software Development",
        "headquarters": "San Francisco, CA",
        "founded": "2017",
        "specialties": "B2B SaaS, Analytics, …",
        "openJobs": 17
    },
    "changeSinceLastRun": {
        "employeesOnLinkedInDelta": 18,
        "followersDelta": 2340,
        "openJobsDelta": 6
    },
    "postCount": 23,
    "postTopicTally": { "Product launch": 5, "Hiring": 4, "AI / ML": 9, "Customer story": 3 },
    "newHireSignals": [
        { "snippet": "Please welcome Jane Doe as our new VP of Engineering…", "seniority": "senior", "namedRole": "VP of Engineering" }
    ],
    "openJobsTotal": 17,
    "sampleJobs": [ { "title": "Staff Software Engineer", "location": "Remote (US)", "url": "…" } ],
    "topPostsByEngagement": [ … ],
    "aiNarrative": "Acme Corp shows 412 employees on LinkedIn with 81,234 followers. Headcount on LinkedIn grew by 18 since last run (394 → 412). The page added 2,340 followers since last run. Top post themes across the last 23 posts: AI / ML (9), Product launch (5), Hiring (4). Detected 1 senior hire announcement in recent posts.",
    "intelligenceReport": "## LinkedIn Monitor Report — Acme Corp\n…"
}
```

`intelligenceReport` is a ready-to-paste markdown report.

***

### Pricing

**$0.75 per company report** (pay-per-event). One company in `companies` = one report = one charge.

Why it's worth it: 30+ minutes of manual page-watching per company, replaced with a $0.75 API call that also remembers your last run and tells you what changed.

***

### Common workflows

- **Weekly scheduled run** on your target accounts → pipe `changeSinceLastRun` to Slack → BD reps wake up to a "what moved this week" feed
- **Hiring velocity tracker** — schedule weekly, alert when `employeesOnLinkedInDelta >= 5`
- **New-exec radar** — alert when `newHireSignals[].seniority === 'senior'`
- **Content-strategy intel** — compare `postTopicTally` across 10 competitors to see what topics they're pushing

***

### Tips

- **Run with `includePosts: true`** for the new-hire and topic-mix signals — that's where most of the value is.
- The actor stores a snapshot per company per Apify account, so you get delta automatically from the second run onward.
- For broader hiring intelligence across multiple ATSes (Greenhouse, Lever, Ashby, Indeed), check out our **Hiring Signal Intelligence Agent**.

***

### Limits & honesty

- **Public data only.** No login. No password. No private profile scraping.
- LinkedIn intermittently shows aggressive login walls — when that happens the actor degrades gracefully: it returns whatever it could read and clearly labels the rest.
- Engagement numbers on posts are read from the visible UI. They reflect what LinkedIn shows publicly.

Built and maintained by **Johnson AI Consulting** — see also our **Hiring Signal Intelligence Agent**, **Review Intelligence Agent**, **Competitor Intelligence Monitor**, and **Amazon Product Intelligence**.

# Actor input Schema

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

List of company objects. Each needs: name and linkedinUrl (the public company page URL).

## `includePosts` (type: `boolean`):

If true, scrape the latest public posts on the company page and analyze engagement and topic mix.

## `includeJobs` (type: `boolean`):

If true, scrape the public jobs subpage for a snapshot of currently posted roles.

## `maxPosts` (type: `integer`):

Maximum number of recent posts to collect.

## `maxJobs` (type: `integer`):

Maximum number of open jobs to collect.

## `reportStyle` (type: `string`):

'full' produces a detailed markdown report. 'brief' produces a short summary.

## Actor input object example

```json
{
  "companies": [
    {
      "name": "Acme Corp",
      "linkedinUrl": "https://www.linkedin.com/company/acme/"
    }
  ],
  "includePosts": true,
  "includeJobs": true,
  "maxPosts": 10,
  "maxJobs": 10,
  "reportStyle": "brief"
}
```

# 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": [
        {
            "name": "Vercel",
            "linkedinUrl": "https://www.linkedin.com/company/vercel/"
        }
    ],
    "includePosts": false,
    "includeJobs": false,
    "maxPosts": 10,
    "maxJobs": 10,
    "reportStyle": "brief"
};

// Run the Actor and wait for it to finish
const run = await client.actor("ramsford/linkedin-company-monitor").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": [{
            "name": "Vercel",
            "linkedinUrl": "https://www.linkedin.com/company/vercel/",
        }],
    "includePosts": False,
    "includeJobs": False,
    "maxPosts": 10,
    "maxJobs": 10,
    "reportStyle": "brief",
}

# Run the Actor and wait for it to finish
run = client.actor("ramsford/linkedin-company-monitor").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": [
    {
      "name": "Vercel",
      "linkedinUrl": "https://www.linkedin.com/company/vercel/"
    }
  ],
  "includePosts": false,
  "includeJobs": false,
  "maxPosts": 10,
  "maxJobs": 10,
  "reportStyle": "brief"
}' |
apify call ramsford/linkedin-company-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ramsford/linkedin-company-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Company Monitor — Headcount, Hires & Jobs",
        "description": "Watch any company's public LinkedIn page. Get employee count, growth velocity, recent posts and engagement, new hires, and open jobs — plus an AI narrative of what changed since last run. Pay per company report.",
        "version": "0.1",
        "x-build-id": "YsTDN6di0hHRbfcy3"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/ramsford~linkedin-company-monitor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-ramsford-linkedin-company-monitor",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/ramsford~linkedin-company-monitor/runs": {
            "post": {
                "operationId": "runs-sync-ramsford-linkedin-company-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/ramsford~linkedin-company-monitor/run-sync": {
            "post": {
                "operationId": "run-sync-ramsford-linkedin-company-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "Companies",
                        "type": "array",
                        "description": "List of company objects. Each needs: name and linkedinUrl (the public company page URL)."
                    },
                    "includePosts": {
                        "title": "Include recent posts",
                        "type": "boolean",
                        "description": "If true, scrape the latest public posts on the company page and analyze engagement and topic mix.",
                        "default": true
                    },
                    "includeJobs": {
                        "title": "Include open jobs",
                        "type": "boolean",
                        "description": "If true, scrape the public jobs subpage for a snapshot of currently posted roles.",
                        "default": true
                    },
                    "maxPosts": {
                        "title": "Max posts per company",
                        "minimum": 5,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum number of recent posts to collect.",
                        "default": 25
                    },
                    "maxJobs": {
                        "title": "Max jobs per company",
                        "minimum": 5,
                        "maximum": 200,
                        "type": "integer",
                        "description": "Maximum number of open jobs to collect.",
                        "default": 50
                    },
                    "reportStyle": {
                        "title": "Report style",
                        "enum": [
                            "full",
                            "brief"
                        ],
                        "type": "string",
                        "description": "'full' produces a detailed markdown report. 'brief' produces a short summary.",
                        "default": "full"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```