# LinkedIn Job Skills Demand Scraper (`neuton/linkedin-tech-skills-demand-analyzer`) Actor

Analyze public LinkedIn job descriptions for technology-skill demand with counts, companies, locations, and auditable sample jobs.

- **URL**: https://apify.com/neuton/linkedin-tech-skills-demand-analyzer.md
- **Developed by:** [Ashwin Prasad](https://apify.com/neuton) (community)
- **Categories:** Jobs, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$8.00 / 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 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 Job Skills Demand Scraper

Scrape and measure how often selected technologies appear in public LinkedIn job titles and descriptions. Get one auditable aggregate per skill with matching-job counts, share of searched jobs, top companies, top locations, and sample source postings.

Use it for workforce planning, curriculum design, developer-tool market research, technology adoption signals, and recruiting strategy without a LinkedIn login or private-profile access.

### How the analysis works

The Actor searches public jobs, fetches descriptions, and matches each requested skill case-insensitively with alphanumeric boundaries. It does not use an opaque AI model or infer synonyms. For example, `AWS` counts explicit AWS mentions; related cloud terms are not silently added.

### Example input

```json
{
  "queries": ["software engineer"],
  "locations": ["United States"],
  "datePosted": "r604800",
  "skills": ["Python", "Java", "SQL", "AWS", "Kubernetes"],
  "maxResultsPerQuery": 50
}
```

### Output fields

Each requested skill produces one row:

- `skill`, `matchingJobs`, `searchedJobs`, `shareOfJobs`
- `topCompanies` as company and matching-job counts
- `topLocations` as location and matching-job counts
- `sampleTitles`, `sampleJobUrls`, `scrapedAt`

`shareOfJobs` is `matchingJobs / searchedJobs` for this bounded run. It is not a claim about the entire labor market. Use consistent queries, locations, recency, and result limits when comparing scheduled runs.

### Practical workflows

- Compare cloud, data, AI, or backend skills for curriculum planning
- Monitor demand for a product's integrations or technology category
- Track which employers and locations mention a skill most often
- Create weekly time series by scheduling the same Apify Task
- Feed aggregates and source URLs into BI, RAG, or research workflows

Call it from ChatGPT, Claude, n8n, Make, Zapier, a notebook, a data warehouse, or the [Neuton Actors MCP Server](https://apify.com/neuton/neuton-actors-mcp-server).

### Pricing

Launch price: $8.00 per 1,000 returned skill aggregates ($0.008 each). Five requested skills normally produce five result rows, or about $0.04 in Actor charges. The price is attached to the useful aggregate output rather than every underlying job inspected. This is a margin-first price.

### Skills demand SEO keywords

LinkedIn skills demand analyzer, technology job trends, workforce planning data, curriculum demand research, developer skills API, labor market intelligence.

### LinkedIn jobs workflow family

- [LinkedIn Remote Jobs Scraper & Intelligence](https://apify.com/neuton/linkedin-remote-jobs-intelligence) for strict remote-role filtering
- [LinkedIn Salary Jobs Scraper](https://apify.com/neuton/linkedin-salary-jobs-intelligence) for compensation benchmarking
- [LinkedIn Easy Apply Jobs Scraper](https://apify.com/neuton/linkedin-easy-apply-jobs-scraper) for in-platform application paths
- [LinkedIn Company Hiring Signals Scraper](https://apify.com/neuton/linkedin-company-hiring-signals) for account-level hiring intent

### Responsible use

This Actor processes public job-posting information. Samples and keyword counts can be incomplete or biased by the chosen search. Verify source rows and methodology before consequential workforce or education decisions. Do not use it for spam, unlawful discrimination, private-profile collection, access-control bypass, or excessive requests. This Actor is not affiliated with or endorsed by LinkedIn.

# Actor input Schema

## `queries` (type: `array`):

Role, skill, or market queries.

## `locations` (type: `array`):

LinkedIn location text such as United States, London, or Bengaluru.

## `datePosted` (type: `string`):

LinkedIn period: r86400, r604800, or r2592000.

## `experienceLevels` (type: `array`):

Optional LinkedIn experience filter codes.

## `jobTypes` (type: `array`):

Optional LinkedIn job type filter codes.

## `geoId` (type: `string`):

Optional LinkedIn geo ID for exact location targeting.

## `maxResultsPerQuery` (type: `integer`):

Maximum public jobs to inspect for each query/location pair.

## `skills` (type: `array`):

Technology or tool names to count in public job descriptions.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "r604800",
  "experienceLevels": [],
  "jobTypes": [],
  "maxResultsPerQuery": 50,
  "skills": [
    "Python",
    "Java",
    "SQL",
    "AWS",
    "Kubernetes"
  ]
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("neuton/linkedin-tech-skills-demand-analyzer").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("neuton/linkedin-tech-skills-demand-analyzer").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 '{}' |
apify call neuton/linkedin-tech-skills-demand-analyzer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/linkedin-tech-skills-demand-analyzer"
        }
    }
}

```

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/bFtKAuVseH98ZRshM/builds/GF2sOQ9JLO6exnfVD/openapi.json