# The Muse Jobs API - Search Curated Job Listings (`nabeelbaghoor/the-muse-jobs-api`) Actor
Search The Muse jobs API and export structured job listings - title, company, location, category, experience level, posting date and apply link. Filter by category, level, location and company. Pay per result. Bring your own API key.
- **URL**: https://apify.com/nabeelbaghoor/the-muse-jobs-api.md
- **Developed by:** [Nabeel Hassan](https://apify.com/nabeelbaghoor) (community)
- **Categories:** Jobs, Developer tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$8.00 / 1,000 job 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.
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 API - search curated job listings
**The Muse Jobs API** turns The Muse jobs search into a clean, structured dataset. Pick a category, level and location and get back matching listings - job title, company, location, category, experience level, posting date, full description and a direct apply link - ready to export as JSON, CSV or Excel.
Bring your own The Muse API key (free for developers) and pay only for the results you keep.
### Why use this actor?
- **Curated employer listings** - jobs posted by companies that publish on The Muse, across engineering, sales, marketing, finance, healthcare and more.
- **Structured output** - title, company, location, category, experience level, job type, posting date, full description and apply link, parsed into flat columns.
- **Precise filters** - job category, seniority level, location and company, sorted newest first.
- **Pay per result** - you are charged only for the jobs actually returned.
- **No proxies, no blocks** - data comes through a stable API, so runs are fast and reliable.
### Use cases
- **Job boards and aggregators** - keep listings fresh with real The Muse results.
- **Recruiting and sourcing** - see which companies are hiring for which roles and levels.
- **Talent market research** - track demand by category, level and location.
- **Lead generation** - a company that is hiring is a company that is buying.
- **Job alert automations** - schedule daily runs and push new matches to Slack, email or your ATS.
### Input
Configure everything from the visual editor - every filter is a proper field, no code needed. Example JSON input:
```json
{
"category": "Engineering",
"level": "Senior Level",
"location": "New York, NY",
"descending": true,
"maxResults": 100,
"apiKey": "YOUR_API_KEY"
}
````
### Output
One clean JSON object per job:
```json
{
"job_title": "Senior Software Engineer",
"company_name": "Acme Corp",
"location": "New York, NY",
"category": "Engineering",
"level": "Senior Level",
"job_type": "external",
"posted_at": "2026-07-22T10:15:00Z",
"apply_link": "https://www.themuse.com/jobs/acmecorp/senior-software-engineer",
"description": "We are looking for a Senior Software Engineer...
",
"job_id": 12345678,
"company_id": 98765
}
```
### Do I need an API key?
Yes. This actor calls The Muse jobs API on your behalf, which requires your own API key. Register for a free developer key at themuse.com/developers, paste it into the **API key** field, and run. Your key is stored securely and never logged.
### Pay per result
You pay only for the job listings the actor actually returns - no subscriptions, no minimums. Set **Maximum results** to cap each run's spend exactly.
### FAQ
#### What is The Muse Jobs API?
The Muse Jobs API is the official developer interface to The Muse, a career platform where companies post jobs alongside profiles and culture content. It returns live job listings as structured data - title, company, location, category, level, posting date, description and apply link - so you can pull the same jobs shown on The Muse without scraping the website.
#### Where does the data come from?
Directly from The Muse job listings, posted by employers on the platform. The actor queries the official public jobs endpoint and hands you parsed fields for every matching listing.
#### What filters can I use?
Job category (Engineering, Sales, Marketing & PR, Data Science, Finance, Healthcare and more), experience level (Entry, Mid, Senior, Management, Internship), location and company. Results can be sorted newest first.
#### How many results can I get per run?
As many as your search matches, collected 20 per page. Use **Maximum results** to set an exact cap. For very large pulls, split the search by category, level or location.
#### How much does it cost?
Pricing is pay-per-result: a small fixed amount for every job returned, plus standard Apify platform usage, plus your own The Muse API usage (billed by The Muse against your key). A run that returns nothing costs almost nothing.
#### Can I filter to a specific company?
Yes. Set the **Company** field to a company name to return only that employer's open roles on The Muse.
#### Can I run this on a schedule?
Yes. Use Apify Schedules to run it hourly or daily and connect the dataset to Zapier, Make, n8n, webhooks or the API to pipe new jobs anywhere.
#### Is this legal?
The actor returns publicly available job listings through The Muse's official API using your own licensed API key. No login-walled or personal data is collected.
### Keyword map
the muse jobs api, the muse api, curated jobs api, job listings api, job category api, job search api, tech jobs api, jobs data api, employer jobs api, job postings api, recruiting data api, career data api.
### Support and feedback
Found an issue or missing a filter? Open an issue in the **Issues** tab - it is monitored daily.
# Actor input Schema
## `category` (type: `string`):
Job function to filter by. Leave empty to include all categories.
## `level` (type: `string`):
Seniority level to filter by. Leave empty to include all levels.
## `location` (type: `string`):
City and region to filter by, e.g. `New York, NY`, `London, United Kingdom`, `Flexible / Remote`. Leave empty to search everywhere.
## `company` (type: `string`):
Filter to a single company by name, e.g. `Nike`, `HubSpot`. Leave empty to include all companies.
## `descending` (type: `boolean`):
Sort results by posting date, newest first.
## `maxResults` (type: `integer`):
Stop after this many jobs. Results are collected 20 per page. You are charged per result returned.
## `apiKey` (type: `string`):
Your own The Muse API key. Required - the actor calls the jobs API on your behalf using this key. Get one free at themuse.com/developers. Stored securely and never logged.
## Actor input object example
```json
{
"category": "",
"level": "",
"descending": true,
"maxResults": 100
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxResults": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("nabeelbaghoor/the-muse-jobs-api").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "maxResults": 100 }
# Run the Actor and wait for it to finish
run = client.actor("nabeelbaghoor/the-muse-jobs-api").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 '{
"maxResults": 100
}' |
apify call nabeelbaghoor/the-muse-jobs-api --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=nabeelbaghoor/the-muse-jobs-api",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "The Muse Jobs API - Search Curated Job Listings",
"description": "Search The Muse jobs API and export structured job listings - title, company, location, category, experience level, posting date and apply link. Filter by category, level, location and company. Pay per result. Bring your own API key.",
"version": "0.1",
"x-build-id": "SAHJ4z92bZ1B9TbNa"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/nabeelbaghoor~the-muse-jobs-api/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-nabeelbaghoor-the-muse-jobs-api",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/nabeelbaghoor~the-muse-jobs-api/runs": {
"post": {
"operationId": "runs-sync-nabeelbaghoor-the-muse-jobs-api",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/nabeelbaghoor~the-muse-jobs-api/run-sync": {
"post": {
"operationId": "run-sync-nabeelbaghoor-the-muse-jobs-api",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"category": {
"title": "Category",
"enum": [
"",
"Account Management",
"Business & Strategy",
"Creative & Design",
"Customer Service",
"Data Science",
"Editorial",
"Education",
"Engineering",
"Finance",
"Fundraising & Development",
"Healthcare",
"HR & Recruiting",
"IT",
"Legal",
"Marketing & PR",
"Operations",
"Product Management",
"Project & Program Management",
"Retail",
"Sales",
"Social Media & Community Management",
"UX Research & Design",
"Writing & Editing"
],
"type": "string",
"description": "Job function to filter by. Leave empty to include all categories.",
"default": ""
},
"level": {
"title": "Experience level",
"enum": [
"",
"Entry Level",
"Mid Level",
"Senior Level",
"Management",
"Internship"
],
"type": "string",
"description": "Seniority level to filter by. Leave empty to include all levels.",
"default": ""
},
"location": {
"title": "Location",
"type": "string",
"description": "City and region to filter by, e.g. `New York, NY`, `London, United Kingdom`, `Flexible / Remote`. Leave empty to search everywhere."
},
"company": {
"title": "Company",
"type": "string",
"description": "Filter to a single company by name, e.g. `Nike`, `HubSpot`. Leave empty to include all companies."
},
"descending": {
"title": "Newest first",
"type": "boolean",
"description": "Sort results by posting date, newest first.",
"default": true
},
"maxResults": {
"title": "Maximum results",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Stop after this many jobs. Results are collected 20 per page. You are charged per result returned."
},
"apiKey": {
"title": "API key",
"type": "string",
"description": "Your own The Muse API key. Required - the actor calls the jobs API on your behalf using this key. Get one free at themuse.com/developers. Stored securely and never logged."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```