# LinkedIn Skill Mapper (`data-slayer/linkedin-skill-mapper`) Actor

Find where a rare skill actually lives. Enter a technology or skill plus optional location and industry filters; the Actor returns the companies where that skill concentrates, with counts and share, so hard-to-fill roles become findable. No cookies, no login.

- **URL**: https://apify.com/data-slayer/linkedin-skill-mapper.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Lead generation, Social media, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 skill insights

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## LinkedIn Skill Mapper

Find where a rare skill actually lives — so hard-to-fill roles become findable.

### Watch the demo

YouTube video coming soon.

### What this Actor does

Give it a technology or skill (and optionally a location and industry). The Actor samples the people who have it and returns **where it concentrates**:

- One row per company, with how many of the sampled people work there and what share of the pool that is.
- A summary row with the total sampled and the top locations.

Instead of guessing which companies to approach for a hard-to-fill role, you see the answer: the companies where the skill actually sits, ranked.

It uses public data only, requires no cookies and no login.

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `technology` | string | Yes | The skill or technology to map (e.g. `Kubernetes`, `Salesforce`, `Rust`) |
| `keywords` | string | No | Extra keywords to narrow the pool |
| `location` | string\[] | No | City, region, or country |
| `industry` | string\[] | No | Employer industries |
| `seniority` | string\[] | No | Optional seniority filter |
| `max_people` | integer | No | Hard cap on people sampled — the main cost control (default `100`, 1–500) |

Example:

```json
{
  "technology": "Kubernetes",
  "location": ["Germany"],
  "max_people": 100
}
```

### How to use it

1. Enter the skill or technology.
2. Optionally scope by location and industry.
3. Click **Start**.
4. Read the company rows top-down — those are the deepest pools of that skill.

### Output

One row per company, plus a summary row:

```json
{
  "schemaVersion": "1.0",
  "checkedAt": "2026-09-25T10:00:00+00:00",
  "insightType": "company_concentration",
  "technology": "Kubernetes",
  "companyName": "Globex",
  "peopleCount": 14,
  "share": 0.14,
  "totalSampled": 100,
  "locations": [],
  "collectedAt": "2026-09-25T10:00:00+00:00"
}
```

The summary row (`insightType: "summary"`) carries `peopleCount` = total sampled and `locations` = the top locations.

The `OUTPUT` key-value-store record reports the technology, people sampled, companies with the skill, and top locations.

### Pricing

| Event | Price |
|---|---|
| Actor start | $0.05 |
| Skill insight | $0.03 |

You pay per insight row. A 100-person sample producing 30 company rows is about $1.00.

### Common uses

- **Hard-to-fill roles** — find the companies that actually hold the skill.
- **Market intelligence** — see where a technology's talent clusters geographically.
- **Recruiting targeting** — approach the deepest pools first.
- **Vendor and partner research** — map the ecosystem around a technology.

### Limits

- Results reflect the searchable index for that skill, not every person who has it.
- `share` is the share of the sampled pool, not of the whole market.
- Companies with very few sampled people appear lower; raise `max_people` for a wider read.
- One skill per run.

### Automation

Run from the Apify API, schedules, or webhooks. Download the same dataset as JSON, CSV, or Excel.

### Feedback and support

Use the Actor's Issues tab for reproducible problems. Include the technology and filters you used, but do not include credentials.

### Related actors

More from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

| Actor | What it does |
|---|---|
| [LinkedIn Account Intent Feed](https://apify.com/data-slayer/linkedin-account-intent-feed) | LinkedIn workflow |
| [LinkedIn Buying-Committee Mapper](https://apify.com/data-slayer/linkedin-buying-committee-mapper) | LinkedIn workflow |
| [LinkedIn Champion Tracker](https://apify.com/data-slayer/linkedin-champion-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Company Employees](https://apify.com/data-slayer/linkedin-company-employees) | LinkedIn workflow |
| [LinkedIn Company Posts Scraper](https://apify.com/data-slayer/linkedin-company-posts-scraper) | LinkedIn workflow |
| [LinkedIn Company Scraper](https://apify.com/data-slayer/linkedin-company-scraper) | LinkedIn workflow |
| [LinkedIn Company Search (ICP)](https://apify.com/data-slayer/linkedin-company-search) | LinkedIn workflow |
| [LinkedIn Competitor Content Intelligence](https://apify.com/data-slayer/linkedin-competitor-content-intelligence) | LinkedIn workflow |
| [LinkedIn Competitor Hijack Leads](https://apify.com/data-slayer/linkedin-competitor-hijack-leads) | LinkedIn workflow |
| [LinkedIn Engagement Audience Builder](https://apify.com/data-slayer/linkedin-engagement-audience-builder) | LinkedIn workflow |
| [LinkedIn Executive Post Monitor](https://apify.com/data-slayer/linkedin-executive-post-monitor) | LinkedIn workflow |
| [LinkedIn Hiring Pulse](https://apify.com/data-slayer/linkedin-hiring-pulse) | LinkedIn workflow |
| [LinkedIn Job Change Tracker](https://apify.com/data-slayer/linkedin-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Job Scraper](https://apify.com/data-slayer/linkedin-job-scraper) | LinkedIn workflow |
| [LinkedIn Market Map Builder](https://apify.com/data-slayer/linkedin-market-map-builder) | LinkedIn workflow |
| [LinkedIn People Search (ICP)](https://apify.com/data-slayer/linkedin-people-search) | LinkedIn workflow |
| [LinkedIn Post Comments](https://apify.com/data-slayer/linkedin-post-comments) | LinkedIn workflow |
| [LinkedIn Post Engagers Scraper](https://apify.com/data-slayer/linkedin-post-engagers-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Post Performance Scraper](https://apify.com/data-slayer/linkedin-post-analytics-scraper) | LinkedIn workflow |
| [LinkedIn Post Reactions](https://apify.com/data-slayer/linkedin-post-reactions) | LinkedIn workflow |
| [LinkedIn Post Reposts](https://apify.com/data-slayer/linkedin-post-reposts) | LinkedIn workflow |
| [LinkedIn Profile Comments](https://apify.com/data-slayer/linkedin-profile-comments) | LinkedIn workflow |
| [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Profile Posts Scraper](https://apify.com/data-slayer/linkedin-profile-posts-scraper) | LinkedIn workflow |
| [LinkedIn Profile Reactions](https://apify.com/data-slayer/linkedin-profile-reactions) | LinkedIn workflow |
| [LinkedIn Profile Scraper · Fresh · No Cookies](https://apify.com/data-slayer/linkedin-profile-scraper) | LinkedIn workflow |
| [LinkedIn Talent Flow Mapper](https://apify.com/data-slayer/linkedin-talent-flow-mapper) | LinkedIn workflow |
| [LinkedIn Talent Mapper](https://apify.com/data-slayer/linkedin-talent-mapper) | LinkedIn workflow |
| [LinkedIn Warm Path Finder](https://apify.com/data-slayer/linkedin-warm-path-finder) | LinkedIn workflow |
| [LinkedIn Why-Now Account Brief](https://apify.com/data-slayer/linkedin-why-now-account-brief) | LinkedIn workflow |

### FAQ

**How much does it cost to run this Actor?**
Pricing is listed in the Pricing section above, charged per row returned. You only pay for the rows
the Actor actually produces, so a small test run costs cents.

**Do I need cookies or a LinkedIn login?**
No. This Actor reads public data only - no cookies, no account, no browser automation.

**Can I schedule it?**
Yes. Run it from the Apify API, on a schedule, or via a webhook, and export results as JSON, CSV or Excel.

**What if I need a slightly different output?**
Open an issue on the Actor's Issues tab describing the shape you need.

# Actor input Schema

## `technology` (type: `string`):

The skill or technology to map (e.g. Kubernetes, Salesforce, Rust).

## `keywords` (type: `string`):

Optional free-text keywords to narrow the pool further.

## `location` (type: `array`):

City, region, or country to scope the market.

## `industry` (type: `array`):

Employer industries to scope the market.

## `seniority` (type: `array`):

Optional seniority filter (e.g. senior, manager, director).

## `max_people` (type: `integer`):

Hard cap on people sampled. The main runtime and cost control. 1–500.

## Actor input object example

```json
{
  "technology": "Kubernetes",
  "max_people": 100
}
```

# Actor output Schema

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

Dataset rows with company concentration and summary fields

## `run_summary` (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 = {
    "technology": "Kubernetes"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/linkedin-skill-mapper").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 = { "technology": "Kubernetes" }

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/linkedin-skill-mapper").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 '{
  "technology": "Kubernetes"
}' |
apify call data-slayer/linkedin-skill-mapper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-slayer/linkedin-skill-mapper"
        }
    }
}
```

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/NUJGdfahrosXy3yjj/builds/OVgROBSWNH75s7MuH/openapi.json