# The Muse Jobs Scraper - Titles, Companies, Salaries & Links (`ninhothedev/muse-jobs-scraper`) Actor

$0.5/1K 🔥 Fast The Muse jobs scraper! Title, company, location, level, category & link — no key. JSON, CSV, Excel or API in seconds. Filter by role & pull thousands of jobs for aggregation, recruiting & salary research ⚡

- **URL**: https://apify.com/ninhothedev/muse-jobs-scraper.md
- **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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/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

## The Muse Jobs Scraper 🎯

Scrape thousands of curated job listings from [**The Muse**](https://www.themuse.com/) in seconds. Get clean, structured data — **job title, company, location, remote flag, category, experience level, description and the direct apply link** — with no API key, no login, and no headless browser.

Fast, lightweight and **datacenter-proxy friendly**. Priced to undercut every other job scraper on the store.

> ⭐ **~$1 per 1,000 jobs** — one of the cheapest job scrapers on Apify.

***

### ✨ What you get

Every job is returned as a clean, flat record:

| Field | Description |
|-------|-------------|
| `title` | Job title |
| `company` | Hiring company name |
| `location` | Primary location |
| `location_all` | All listed locations, comma-joined |
| `remote` | `true` when the job is Flexible / Remote |
| `url` | Direct link to the job page (apply here) |
| `description` | Full description, HTML stripped (capped at 5,000 chars) |
| `categories` | List of job categories |
| `level` | Experience level (Entry / Mid / Senior / Management) |
| `job_type` | Job type (e.g. `external`) |
| `posted_at` | Publication date (ISO-8601 UTC) |
| `source` | Always `themuse` |
| `job_id` | The Muse job id |
| `scraped_at` | When the record was scraped (ISO-8601 UTC) |

All fields are nullable, so your downstream pipeline never breaks on a missing value.

***

### 🚀 Quick start

Set your input and run:

```json
{
  "mode": "search",
  "categories": ["Software Engineering", "Data Science"],
  "levels": ["Entry Level", "Senior Level"],
  "locations": ["New York, NY", "Flexible / Remote"],
  "maxItems": 200
}
```

That's it. The Actor paginates through every matching result page and pushes one dataset item per job.

#### Input options

| Property | Type | Description |
|----------|------|-------------|
| `mode` | select | `search` — apply the filters below and paginate. |
| `categories` | array | Optional categories, e.g. `Software Engineering`, `Data Science`. Repeatable. |
| `levels` | array | Optional experience levels, e.g. `Entry Level`, `Senior Level`. Repeatable. |
| `locations` | array | Optional locations, e.g. `New York, NY`, `Flexible / Remote`. Repeatable. |
| `company` | string | Optional single company slug, e.g. `spacex`. |
| `maxItems` | integer | Max jobs to scrape (default `100`, max `1000`). |

Leave every filter empty to scrape the newest jobs across all categories.

***

### 💡 Use cases

- **Job aggregation** — feed a job board or newsletter with fresh, structured listings.
- **Recruiting & sourcing** — track which companies are hiring for which roles and levels.
- **Labor-market & salary research** — analyze demand by category, level and location.
- **Building job boards** — power a niche vertical board with clean data and apply links.

***

### ⚖️ Why this Actor?

| | The Muse Jobs Scraper | Manual copy-paste | Official API wrappers |
|---|---|---|---|
| No API key required | ✅ | ✅ | ❌ (rate-limited keys) |
| Structured, nullable output | ✅ | ❌ | ⚠️ |
| HTML-stripped descriptions | ✅ | ❌ | ❌ |
| Remote detection | ✅ | ❌ | ❌ |
| Datacenter-proxy friendly | ✅ | — | — |
| Price | 💚 ~$1 / 1k | Free (slow) | Varies |

***

### 🔗 Related job scrapers by ninhothedev

- [Arbeitnow Jobs Scraper](https://apify.com/ninhothedev/arbeitnow-jobs-scraper)
- [RemoteOK Jobs Scraper](https://apify.com/ninhothedev/remoteok-jobs-scraper)
- [Ashby Jobs Scraper](https://apify.com/ninhothedev/ashby-jobs-scraper)
- [Workable Jobs Scraper](https://apify.com/ninhothedev/workable-jobs-scraper)

***

### 📤 Output example

```json
{
  "title": "Sr. Staff Engineer (GenAI)",
  "company": "Uber",
  "location": "San Francisco, CA",
  "location_all": "San Francisco, CA",
  "remote": false,
  "url": "https://www.themuse.com/jobs/uber/sr-staff-engineer-genai",
  "description": "About the Role ...",
  "categories": ["Software Engineering"],
  "level": "Senior Level",
  "job_type": "external",
  "posted_at": "2026-07-17T00:26:18+00:00",
  "source": "themuse",
  "job_id": 21470001,
  "scraped_at": "2026-07-20T16:20:00+00:00"
}
```

***

### ❓ FAQ

**Do I need an API key?** No. The Muse exposes a public jobs API — this Actor uses it directly.

**Will it work with datacenter proxies?** Yes, it is designed to run without residential proxies.

**How many jobs can I get?** Up to 1,000 per run via `maxItems`. Run multiple filtered searches to cover more.

**Is the data legal to use?** The Actor collects publicly available job listings. You are responsible for complying with The Muse's terms and applicable laws.

***

*Keywords: the muse jobs scraper, themuse api, job scraper, jobs data, recruiting data, job aggregation, remote jobs, tech jobs, job board data, salary research, hiring data, careers scraper, employment data, job listings api.*

# Actor input Schema

## `mode` (type: `string`):

Scraping mode. 'search' applies the optional filters below and paginates through all matching job pages on The Muse.

## `categories` (type: `array`):

Optional list of job categories to filter by, e.g. "Software Engineering", "Data Science". Repeatable. Leave empty for all categories.

## `levels` (type: `array`):

Optional list of experience levels to filter by, e.g. "Entry Level", "Mid Level", "Senior Level", "Management". Repeatable. Leave empty for all levels.

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

Optional list of locations to filter by, e.g. "New York, NY", "London, United Kingdom", "Flexible / Remote". Repeatable. Leave empty for all locations.

## `company` (type: `string`):

Optional single company short-name / slug to filter by, e.g. "spacex", "apple". Leave empty for all companies.

## `maxItems` (type: `integer`):

Maximum number of jobs to scrape across all pages. Default 100, maximum 1000.

## Actor input object example

```json
{
  "mode": "search",
  "categories": [
    "Software Engineering"
  ],
  "levels": [],
  "locations": [],
  "maxItems": 100
}
```

# Actor output Schema

## `jobs` (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 = {
    "categories": [
        "Software Engineering"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/muse-jobs-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 = { "categories": ["Software Engineering"] }

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/muse-jobs-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 '{
  "categories": [
    "Software Engineering"
  ]
}' |
apify call ninhothedev/muse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ninhothedev/muse-jobs-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/cjp0DC64ate4yN4zV/builds/2Ctw3LnsXNYPAX70a/openapi.json