# Monster Jobs Scraper (`jungle_synthesizer/monster-scraper`) Actor

Scrape job listings from Monster.com by keyword and location. Extract job title, company, salary, location, employment type, date posted, and more. Supports US and international markets.

- **URL**: https://apify.com/jungle_synthesizer/monster-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 4 total users, 1 monthly users, 51.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.40 / 1,000 record scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Monster Jobs Scraper

Scrape job listings from Monster.com by keyword and location. Extracts job title, company, salary, location, employment type, date posted, and more. Supports US and international markets including UK, Canada, Australia, Germany, France, and others.

### Features

- Search by **keyword and location** across Monster.com
- Filter by **employment type** (full-time, part-time, contract, internship)
- Filter by **date posted** (today, past week, past month)
- Filter by **search radius** (5–100 miles)
- Extracts salary ranges, company logos, remote status, and job URLs
- Supports 12 country markets (US, UK, CA, AU, DE, FR, NL, BE, AT, CH, NZ, IE)

### Usage

Provide a keyword and optionally a location to search for jobs. All fields except `keyword` and `location` are optional.

```json
{
  "keyword": "software engineer",
  "location": "New York",
  "country": "us",
  "maxItems": 50
}
```

#### Filter by employment type

```json
{
  "keyword": "data analyst",
  "location": "Austin, TX",
  "employmentType": "fulltime",
  "maxItems": 25
}
```

#### Filter by date posted

```json
{
  "keyword": "nurse",
  "location": "Chicago",
  "datePosted": "week",
  "maxItems": 30
}
```

#### UK market

```json
{
  "keyword": "project manager",
  "location": "London",
  "country": "gb",
  "maxItems": 20
}
```

### Input Parameters

| Parameter        | Type    | Default             | Description                                                    |
|------------------|---------|---------------------|----------------------------------------------------------------|
| `keyword`        | String  | `software engineer` | Job title or keywords to search for                            |
| `location`       | String  | `New York`          | City, state, or region                                         |
| `country`        | Select  | `us`                | Country market: us, gb, ca, au, de, fr, nl, be, at, ch, nz, ie |
| `employmentType` | Select  | (all)               | Filter by type: fulltime, parttime, contractor, intern         |
| `datePosted`     | Select  | (all time)          | Filter by recency: today, week, month                          |
| `radius`         | Select  | `20`                | Search radius in miles: 5, 10, 20, 50, 100                     |
| `maxItems`       | Integer | `10`                | Maximum number of job listings to scrape                       |

### Output Schema

Each record contains:

| Field            | Type    | Description                                                       |
|------------------|---------|-------------------------------------------------------------------|
| `jobId`          | String  | Unique Monster job ID (UUID)                                      |
| `title`          | String  | Job title                                                         |
| `company`        | String  | Employer name                                                     |
| `location`       | String  | Job location (city, state)                                        |
| `country`        | String  | Country code used in the search                                   |
| `salary`         | String  | Salary or pay range (e.g. "$160,000-$185,000 / year")             |
| `salaryMin`      | Number  | Parsed minimum salary/pay figure, when available                  |
| `salaryMax`      | Number  | Parsed maximum salary/pay figure, when available                  |
| `salaryCurrency` | String  | Currency code for the salary (e.g. USD, GBP, EUR), when available |
| `salaryPeriod`   | String  | Pay period (year, month, week, hour, day), when available         |
| `employmentType` | String  | Employment type badge from the job card                           |
| `datePosted`     | String  | Recency label (e.g. "2 days ago")                                 |
| `applyUrl`       | String  | Monster.com job URL for applying                                  |
| `jobUrl`         | String  | Monster.com job listing URL                                       |
| `isRemote`       | Boolean | True if location indicates remote work                            |
| `companyLogoUrl` | String  | URL of the company logo image                                     |
| `isNew`          | Boolean | True if the job is marked New on Monster                          |
| `isPromoted`     | Boolean | True if the listing is a sponsored/promoted result                |
| `scrapedAt`      | String  | ISO 8601 timestamp of when the record was scraped                 |

### Notes

- Monster.com shows approximately 18 jobs per search page. Pagination continues automatically until `maxItems` is reached.
- The `salary` field is extracted from Monster's pay tag when available — many listings do not display salary.
- Remote jobs are detected from the location text (e.g. "Remote", "Work from Home").

***

**Further reading:** [Job Postings Data: How to Get Listings From 12 Boards Across 10 Markets](https://orbtop.com/articles/job-postings-data-by-market/)

# Actor input Schema

## `sp_intended_usage` (type: `string`):

What will this data feed? E.g. lead lists, KYB checks, price tracking.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

We'll personally help with your use case. No spam.

## `keyword` (type: `string`):

Job title or keywords to search for (e.g. "software engineer", "nurse")

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

City, state, or region to search in (e.g. "New York", "London", "Remote")

## `country` (type: `string`):

Country to search in. Supported: us, gb, ca, au, de, fr, nl, be, at, ch, nz, ie

## `employmentType` (type: `string`):

Filter by employment type (leave blank for all types)

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

Filter by recency (leave blank for all time)

## `radius` (type: `string`):

Search radius in miles from the location

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

Maximum number of job listings to scrape

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "keyword": "software engineer",
  "location": "New York",
  "country": "us",
  "radius": "20",
  "maxItems": 10
}
```

# 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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "keyword": "software engineer",
    "location": "New York",
    "country": "us",
    "radius": "20",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/monster-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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "keyword": "software engineer",
    "location": "New York",
    "country": "us",
    "radius": "20",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/monster-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 '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "keyword": "software engineer",
  "location": "New York",
  "country": "us",
  "radius": "20",
  "maxItems": 10
}' |
apify call jungle_synthesizer/monster-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jungle_synthesizer/monster-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/Roxvab1MUHPcFmTCC/builds/vXus2F44SyHCvkonf/openapi.json