# The Muse Jobs Scraper - Company Jobs & Leads (`benthepythondev/themuse-jobs-scraper`) Actor

Scrape job postings from The Muse by category, location and/or company: title, company, locations, level, categories, publication date and a link to apply. Fast and reliable via the public The Muse Jobs API. For job-market research, lead generation and job datasets.

- **URL**: https://apify.com/benthepythondev/themuse-jobs-scraper.md
- **Developed by:** [Ben](https://apify.com/benthepythondev) (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

from $2.00 / 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 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/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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

## 💼 The Muse Jobs Scraper

Scrape job postings from **The Muse** by category, location and/or company — title, company, locations, level, categories, publication date and a link to apply. Powered by the public The Muse Jobs API, so it's fast and reliable: no browser, no login, no API key.

Built for job-market research, recruiting, lead generation and building job datasets. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

### 🔎 What is the The Muse Jobs Scraper?

Filter by category (e.g. "Software Engineering"), location (e.g. "Remote") and/or company, and it returns matching jobs as structured rows — paginated to your requested limit — so you can monitor hiring and build clean job feeds.

#### What data does it extract?

- **Title** and **company**
- **Locations** (one or many)
- **Level** (entry, mid, senior, …)
- **Categories**
- **Publication date**
- **Short description**
- **Apply link**

### ⬇️ Input

| Field | Type | Description |
|-------|------|-------------|
| `categories` | array | Job categories, e.g. `Software Engineering`. |
| `locations` | array | Locations, e.g. `Remote`, `New York, NY`. |
| `company` | string | Optional company filter. |
| `level` | string | Optional level filter. |
| `maxResults` | integer | Max jobs to return. Default `50`. |

#### Example input

```json
{
  "categories": ["Software Engineering"],
  "locations": ["Remote"],
  "maxResults": 100
}
````

### ⬆️ Output

One record per job:

```json
{
  "id": 12345678,
  "title": "Senior Backend Engineer",
  "company": "Acme Corp",
  "type": "external",
  "locations": ["Remote", "New York, NY"],
  "levels": ["Senior Level"],
  "categories": ["Software Engineering"],
  "publication_date": "2026-06-22T10:00:00Z",
  "short_name": "senior-backend-engineer-acme",
  "description": "We are looking for a senior backend engineer...",
  "url": "https://www.themuse.com/jobs/acmecorp/senior-backend-engineer",
  "query": null
}
```

### 💡 Use cases

- 🔎 **Job-market research** — track hiring by category, location and company.
- 🎯 **Lead generation** — find companies actively hiring in a niche.
- 📊 **Datasets** — build a structured job feed for analytics.
- 🤖 **Automation** — push new jobs to Slack/Sheets via Make/Zapier/n8n.

### 📈 Why scrape The Muse jobs?

The Muse is useful because its job data is organized around company, category, level and location. That makes it a clean source for hiring intelligence, especially when you want a lower-noise dataset than general search results. Recruiters can watch remote openings by category, sales teams can find companies investing in certain functions, and analysts can monitor hiring trends across employer brands.

Job postings are also strong commercial signals. A company hiring engineers may need developer tools, cloud services or recruiting help. A company hiring sales roles may be expanding into a market. A company hiring compliance, finance or operations roles may be preparing for growth. This actor turns those signals into rows you can filter, enrich and route into downstream workflows.

### 🔁 Automation workflow

Create saved tasks for your main segments, such as `Software Engineering + Remote`, `Marketing + New York`, or a list of target companies. Schedule them daily and compare each run by job ID. New jobs can be sent to Slack, Google Sheets, Airtable or a CRM. For lead generation, combine the company field with a website/contact enrichment actor so your team can move from hiring signal to outreach list.

For job-board builders, use The Muse as one source in a broader feed. Combine it with StepStone, Naukri, Glassdoor, Greenhouse and Lever actors, then normalize title, company, location and URL across sources. The Muse's category and level fields are especially useful for classification.

### ✅ Data quality notes

The actor uses the public The Muse Jobs API, not a browser. It paginates through API results, de-duplicates by job ID and keeps multi-location jobs as arrays so you do not lose coverage. Descriptions are returned as a snippet suitable for preview and search indexing. For full job details, keep the returned URL and follow it in your downstream process.

### ❓ FAQ

**Do I need an API key or login?** No — it uses the public The Muse Jobs API.

**Can I filter by category and location?** Yes — pass arrays for both.

**Can I filter by company?** Yes — set `company`.

**Is the apply link included?** Yes — a direct landing page.

**Does it include a description?** Yes — a clean text snippet.

**How does pricing work?** Pay per job returned. No subscription.

**Is it legal?** It uses the public The Muse Jobs API. Use responsibly and within their terms.

### ⚙️ How it works

The scraper calls the The Muse Jobs API directly and returns clean rows — no browser and no key. It paginates through results, de-duplicating by id, and normalizes each posting into consistent fields (title, company, locations, level, categories, link). Runs are fast and dependable, which is why the actor keeps passing its daily health check. The same input shape works for a quick check or a deep multi-page pull — only `maxResults` changes.

### 👥 Who uses job data?

Job data is valuable to recruiters, sales teams, analysts and job seekers. A recruiter benchmarks roles and locations; a sales team finds companies hiring (a buying signal); an analyst tracks hiring trends; a job board aggregates listings. Because every record is plain JSON with consistent fields, it drops straight into a spreadsheet, CRM, BI tool or LLM pipeline with no custom parsing.

### 📤 Export, schedule & integrate

Every run is saved to a dataset you can export to **JSON, CSV, Excel, XML or RSS**, or pull through the **Apify API**. Wire it into **Make, Zapier, n8n, Google Sheets, Slack** or your **own database**, run it on a **schedule** to catch new jobs, and call it from AI agents through the **Apify MCP server**.

### 💡 Tips for best results

- Combine a category with `locations: ["Remote"]` for a remote-jobs feed.
- Use `company` to monitor a specific employer's openings.
- Schedule a daily run and diff the output for a new-jobs alert.
- New postings are a strong buying signal — feed them into your CRM.

### ❓ More FAQ

**How fresh is the data?** It is fetched live on each run — schedule runs to catch new jobs.

**Can I run it automatically?** Yes — use Apify Schedules (cron).

**Are duplicates removed?** Yes — jobs are de-duplicated within each run by id.

**Which export formats?** JSON, CSV, Excel, XML and RSS, plus the Apify API.

**Can AI agents use it?** Yes — via the Apify API and MCP server.

### 🔗 You might also like

- [Remote Jobs Aggregator](https://apify.com/benthepythondev/remote-jobs-aggregator) — multi-platform remote jobs.
- [Greenhouse Jobs Scraper](https://apify.com/benthepythondev/greenhouse-jobs-scraper) — tech hiring data.
- [SEC EDGAR Filings Scraper](https://apify.com/benthepythondev/sec-edgar-filings-scraper) — company filings.

***

**Keywords:** the muse jobs scraper, themuse api, job scraper, job postings, job market research, hiring data, recruiting data, lead generation, jobs api, company jobs, job feed, remote jobs, job dataset, jobs scraper

# Actor input Schema

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

Job categories, e.g. 'Software Engineering', 'Sales'.

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

Locations, e.g. 'New York, NY', 'Remote'.

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

Filter by company name.

## `level` (type: `string`):

e.g. 'Entry Level', 'Senior Level'.

## `maxResults` (type: `integer`):

Maximum jobs to return.

## Actor input object example

```json
{
  "maxResults": 50
}
```

# 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("benthepythondev/themuse-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("benthepythondev/themuse-jobs-scraper").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 '{}' |
apify call benthepythondev/themuse-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=benthepythondev/themuse-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "The Muse Jobs Scraper - Company Jobs & Leads",
        "description": "Scrape job postings from The Muse by category, location and/or company: title, company, locations, level, categories, publication date and a link to apply. Fast and reliable via the public The Muse Jobs API. For job-market research, lead generation and job datasets.",
        "version": "1.0",
        "x-build-id": "29WpWRPkwrm1Hz2qv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/benthepythondev~themuse-jobs-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-benthepythondev-themuse-jobs-scraper",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/benthepythondev~themuse-jobs-scraper/runs": {
            "post": {
                "operationId": "runs-sync-benthepythondev-themuse-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/benthepythondev~themuse-jobs-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-benthepythondev-themuse-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "categories": {
                        "title": "Categories (optional)",
                        "type": "array",
                        "description": "Job categories, e.g. 'Software Engineering', 'Sales'.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "locations": {
                        "title": "Locations (optional)",
                        "type": "array",
                        "description": "Locations, e.g. 'New York, NY', 'Remote'.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "company": {
                        "title": "Company (optional)",
                        "type": "string",
                        "description": "Filter by company name."
                    },
                    "level": {
                        "title": "Level (optional)",
                        "type": "string",
                        "description": "e.g. 'Entry Level', 'Senior Level'."
                    },
                    "maxResults": {
                        "title": "Max results",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Maximum jobs to return.",
                        "default": 50
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```