# Job Market Pulse — Tech & Finance Demand Tracker (`gochujang/job-market-pulse`) Actor

Track real-time job market trends across tech and finance sectors. Scrapes LinkedIn, Indeed, and Glassdoor job counts by keyword, location, and seniority level. Returns demand scores, salary ranges, remote ratio, and trend signals for workforce planning and career research.

- **URL**: https://apify.com/gochujang/job-market-pulse.md
- **Developed by:** [Hojun Lee](https://apify.com/gochujang) (community)
- **Categories:** Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 item processeds

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

### What does Job Market Pulse do?

**Job Market Pulse** tracks real-time **tech hiring trends** by scraping job listing counts from Indeed and LinkedIn for any keyword, location, and seniority level. It returns structured demand signals — classified as `hot`, `strong`, `moderate`, or `low` — along with salary ranges, remote work ratios, top employers, and 24-hour listing velocity. One run gives you an objective snapshot of **developer job demand** across any tech or finance role, location, and seniority tier.

This actor is built for workforce analysts, career researchers, and recruiting teams who need **job market data** programmatically, without manual searches or fragile spreadsheets.

### Why use Job Market Pulse?

**Monitor tech hiring trends** across roles and geographies at scale — automated, structured, and schedulable.

1. **Workforce planning and headcount benchmarking** — HR and finance teams can compare **developer job demand** across roles (Senior Python Engineer vs Senior Go Engineer) to validate compensation bands and headcount plans against live market supply.
2. **Career research and salary negotiation** — Individuals can query demand scores and salary ranges for their specific role, location, and seniority level before negotiating or making a career move.
3. **Recruiting market intelligence** — Talent acquisition teams can monitor overall market heat and top-hiring companies to time their own job postings and sharpen compensation offers.
4. **Tech industry trend analysis** — Analysts and investors tracking the **job market pulse** for AI, blockchain, or cloud roles can schedule weekly runs to build longitudinal datasets of hiring velocity by skill.
5. **Education and bootcamp ROI analysis** — Training providers can track which skills (e.g. `solidity engineer`, `data scientist`, `rust developer`) generate the most job listings to validate curriculum investment decisions.

### How to use Job Market Pulse

1. Open the actor on Apify and click **Try for free**.
2. Enter your **Job Keywords** — job titles or skills (e.g. `["Python developer", "data scientist", "solidity engineer"]`).
3. Set your **Location** (e.g. `United States`, `New York`, `Remote`).
4. Set **Max Listings Per Keyword** (5–50) — how many listings to sample for salary and remote ratio analysis.
5. Click **Start** and retrieve structured demand signals from the dataset within minutes.
6. Download as JSON, CSV, or Excel — or connect via the Apify API.

Schedule weekly runs to track how **tech hiring trends** evolve over time by role and location.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `keywords` | array | *(required)* | Job titles or skills to search (e.g. `["Python developer", "ML engineer", "solidity engineer"]`). |
| `location` | string | `United States` | Location filter (e.g. `United States`, `New York`, `Remote`, `London`). |
| `maxListingsPerKeyword` | integer | `20` | Maximum job listings to sample per keyword for salary and remote ratio analysis (5–50). |

**Example input:**

```json
{
  "keywords": ["Python developer", "solidity engineer", "quantitative analyst"],
  "location": "United States",
  "maxListingsPerKeyword": 20
}
```

### Output

Each item in the dataset represents one **job keyword** with its demand metrics. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

```json
[
  {
    "keyword": "Python developer",
    "location": "United States",
    "total_listings": 45230,
    "listings_24h": 1820,
    "demand_level": "hot",
    "remote_ratio_pct": 42.5,
    "avg_salary_usd": 135000.0,
    "top_companies": ["Amazon", "Google", "Meta", "Microsoft", "Stripe"],
    "seniority_breakdown": {"senior": 9, "mid": 8, "junior": 3},
    "fetched_at": "2026-09-02T10:15:00Z"
  },
  {
    "keyword": "solidity engineer",
    "location": "United States",
    "total_listings": 1243,
    "listings_24h": 87,
    "demand_level": "moderate",
    "remote_ratio_pct": 71.3,
    "avg_salary_usd": 178000.0,
    "top_companies": ["Coinbase", "Consensys", "Alchemy", "OpenSea", "Uniswap Labs"],
    "seniority_breakdown": {"senior": 14, "mid": 5, "junior": 1},
    "fetched_at": "2026-09-02T10:15:00Z"
  }
]
```

### Data fields

| Field | Type | Description |
|-------|------|-------------|
| `keyword` | string | Job title or skill searched |
| `location` | string | Location filter applied |
| `total_listings` | integer | Total active job listings found on Indeed |
| `listings_24h` | integer | Job listings posted in the last 24 hours on LinkedIn |
| `demand_level` | string | Classified demand: `hot` (>10K) / `strong` (5–10K) / `moderate` (1–5K) / `low` (<1K) |
| `remote_ratio_pct` | float | Percentage of sampled listings offering remote or hybrid work |
| `avg_salary_usd` | float | Average annual salary (USD) parsed from listing snippets; `null` if unavailable |
| `top_companies` | array | Up to 5 most frequently listed employers for this keyword |
| `seniority_breakdown` | object | Count of `senior` / `mid` / `junior` listings based on title analysis |
| `fetched_at` | string | ISO 8601 UTC timestamp of the scrape |

### Cost estimation

This actor uses **Pay-Per-Event (PPE)** pricing. You are charged per job listing returned.

| Scenario | Keywords | Listings/keyword | Cost |
|----------|----------|-----------------|------|
| Quick signal check (3 keywords, 5 listings each) | 3 | 5 | ~$0.045 |
| Standard run (5 keywords, 20 listings each) | 5 | 20 | ~$0.30 |
| Deep analysis (10 keywords, 50 listings each) | 10 | 50 | ~$1.50 |
| Weekly portfolio (20 keywords, 20 listings each) | 20 | 20 | ~$1.20 |

**Price:** $0.003 per **job listing** returned.

### FAQ

**Which job boards does Job Market Pulse scrape?**
The actor uses **Indeed** as the primary source (total listing counts + sampled listings for salary, remote, and seniority data) and **LinkedIn** for 24-hour recent listing velocity. This two-source approach provides both total market depth and current hiring activity signals.

**How accurate are the salary ranges?**
Salary data is parsed from job listings that display compensation — approximately 30–50% of listings include salary data on Indeed. The actor aggregates displayed ranges from the sampled listings. Treat salary figures as directional market signals, not precise compensation surveys.

**Can I track hiring trends over time?**
Yes. Schedule this actor weekly via Apify Scheduler with the same keyword set. Each run produces a timestamped dataset row, giving you a longitudinal view of **tech hiring trends** and **job market pulse** changes across quarters.

***

> **Disclaimer:** Job listing data is scraped from public job boards (Indeed, LinkedIn) and represents a point-in-time snapshot. Listing counts and salary data fluctuate and depend on what public pages expose without authentication. Anti-bot detection on job boards may affect count accuracy over time. This actor is not affiliated with or endorsed by Indeed, LinkedIn, or their parent companies. Scraping is performed on publicly accessible pages only.

***

### Related actors

- [npm Package Trends](https://apify.com/gochujang/npm-package-trends) — Developer tool download trends to correlate with job demand for specific frameworks
- [GitHub Trending Tracker](https://apify.com/gochujang/github-trending-tracker) — Rising repos whose language/stack correlates with high-demand jobs this week
- [Remote Jobs Aggregator](https://apify.com/gochujang/remote-jobs-aggregator) — Specific remote job listings from Remotive + We Work Remotely for tech roles

### Feedback

If this actor helps your hiring market research, a review helps others find it: [Leave a review on Apify Store](https://apify.com/gochujang/job-market-pulse#reviews)

# Actor input Schema

## `keywords` (type: `array`):

Job titles or skills to search for (e.g. \['Python developer', 'data scientist', 'solidity engineer'])

## `location` (type: `string`):

Location filter (e.g. 'United States', 'New York', 'Remote')

## `maxListingsPerKeyword` (type: `integer`):

Maximum job listings to sample per keyword for analysis

## Actor input object example

```json
{
  "location": "United States",
  "maxListingsPerKeyword": 20
}
```

# 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("gochujang/job-market-pulse").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("gochujang/job-market-pulse").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 gochujang/job-market-pulse --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,gochujang/job-market-pulse"
        }
    }
}
```

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/gAfi148SsHKKbgECa/builds/jKcYR2eM60kcuSZA5/openapi.json