# Monster Scraper (`parseforge/monster-scraper`) Actor

Scrape job listings from Monster.com. Search by keyword, location, employment type, date posted, and radius. Extract title, company, salary, description, skills, SOC codes, geo coordinates, apply URLs, and 25+ structured fields. Supports US, UK, Canada, and EU countries. Lightweight and fast.

- **URL**: https://apify.com/parseforge/monster-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 8 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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/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.md):

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

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

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 💼 Monster Jobs Scraper

> 🕒 **Last updated:** 2026-05-05


Collect structured job listings from Monster.com without coding. Designed for recruiters, HR teams, and market researchers who need a Monster.com scraper without coding, this tool lets you download Monster job data as CSV, Excel, or JSON. Search by keyword, location, and filters across 12 countries to monitor competitor hiring or benchmark salaries at scale.

> **The Monster Jobs Scraper collects up to 29 structured fields per job listing, including salary, skills, geo coordinates, and direct apply URLs, across 12 countries.**

### ✨ What Does It Do

- 💰 **Salary data** - Benchmark compensation ranges with currency and pay period across roles and regions
- 🛠️ **Skills extraction** - Identify in-demand skills for any job market or role
- 🎯 **Direct apply URLs** - Feed application links directly into your recruiting pipeline
- 🌍 **Geo coordinates** - Map job distribution by latitude and longitude for location intelligence
- 🔢 **SOC occupation codes** - Classify jobs by standardized occupation codes for labor market analysis
- 📄 **Full descriptions** - Access complete job postings with short summaries for quick filtering

### 🔧 Input

- **maxItems** - How many job listings to collect. Start small (10) to preview results, then scale up
- **keyword** - Job title or keywords to search for, like "software engineer" or "marketing manager"
- **location** - City, state, or region to search in, like "New York" or "London"
- **country** - Target country for your search. Supports US, UK, Canada, Germany, France, and 7 more
- **employmentType** - Filter by Full-time, Part-time, Contract, Temporary, Internship, or Remote
- **radius** - Search radius in miles from the location (1 to 100 miles)
- **recency** - Filter by when the job was posted: Today, Last 2 days, Last week, Last 2 weeks, or Last month

```json
{
    "maxItems": 10,
    "keyword": "software engineer",
    "location": "New York",
    "country": "us"
}
````

### 📊 Output

Each job listing includes up to 29 data fields. Download as JSON, CSV, or Excel.

| | | |
|---|---|---|
| 📄 Job title | 🏢 Company name | 📍 Location |
| 💰 Salary range | 💱 Salary currency | 🏷️ Employment type |
| 📝 Full description | 📋 Short description | 🔗 Job URL |
| 🎯 Apply URL | 📮 Apply type | 🖼️ Company logo |
| 🧠 Normalized title | 🏢 Normalized company | 📬 Postal code |
| 🌐 Geo coordinates | 🏠 Location type | 🛠️ Skills |
| 📊 Occupational category | 🔢 SOC codes | 📅 Date posted |
| ⏰ Date recency | 📆 Valid through | 🕐 Created date |
| 🔄 Modified date | 🆔 Job ID | 🏭 Provider |
| 🔍 Search engine | 📥 Ingestion method | ⭐ Promoted status |

### 💎 Why Choose the Monster Jobs Scraper?

| Feature | Our Actor | Monster Jobs Scraper (orgupdate) |
|---|---|---|
| Structured fields per listing | ✔️ 29 fields | ❌ ~7 fields |
| Salary extraction with currency | ✔️ | Partial |
| Skills extraction | ✔️ | ❌ |
| SOC occupation codes | ✔️ | ❌ |
| Geo coordinates (lat/lng) | ✔️ | ❌ |
| Direct apply URLs | ✔️ | ❌ |
| Normalized job titles | ✔️ | ❌ |
| Short description summaries | ✔️ | ❌ |
| Company logo URLs | ✔️ | ❌ |
| 12 countries supported | ✔️ | Partial |
| Employment type filter | ✔️ | ✔️ |
| Date posted filter (5 options) | ✔️ | Partial |
| Search radius filter | ✔️ | ❌ |
| maxItems control | ✔️ | ❌ (page-based only) |
| Automatic retry with session rotation | ✔️ | ❌ |
| CSV, Excel, JSON export | ✔️ | ✔️ |

### 📋 How to Use

No technical skills required. Follow these simple steps:

1. **Sign Up**: [Create a free account w/ $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. **Find the Tool**: Search for "Monster Jobs Scraper" in the Apify Store and configure your input
3. **Run It**: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

### 🎯 Business Use Cases

- 💼 **Recruiters and Staffing Agencies** - Track competitor job postings and required skills across target markets to identify hiring gaps and place candidates faster
- 📊 **HR and Compensation Analysts** - Collect salary data across regions and roles to build compensation benchmarks that keep your offers competitive during annual reviews
- 🔬 **Labor Market Researchers** - Monitor job posting volume and skill demand trends across countries to produce quarterly workforce intelligence reports

***

### ✨ Why choose this Actor

| | Capability |
|---|---|
| 🎯 | **Built for the job.** Scoped specifically to this data source so you skip the parser engineering entirely. |
| 🔖 | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. |
| ⚡ | **Fast.** Optimized request patterns return results in seconds, not minutes. |
| 🔁 | **Always fresh.** Every run pulls live data, so the dataset reflects the source as of run time. |
| 🌐 | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. |
| 🛡️ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. |
| 🚫 | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. |

> 📊 Production-grade structured data without the engineering overhead of building and maintaining your own scraper.

***

### 📈 How it compares to alternatives

| Approach | Cost | Coverage | Refresh | Filters | Setup |
|---|---|---|---|---|---|
| **⭐ Monster Jobs Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full source coverage | **Live per run** | Source-native filters supported | ⚡ 2 min |
| Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | 🐢 Days to weeks |
| Paid managed APIs | $$$ monthly | Vendor-defined | Live | Vendor-defined | ⏳ Hours |
| Third-party data dumps | Varies | Subset, often stale | Periodic | None | 🕒 Variable |

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

***

### 🚀 How to use

1. 📝 **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes).
2. 🌐 **Open the Actor.** Go to the Monster Jobs Scraper page on the Apify Store.
3. 🎯 **Set input.** Configure the input fields in the form (or paste a JSON), then set `maxItems`.
4. 🚀 **Run it.** Click **Start** and let the Actor collect your data.
5. 📥 **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML.

> ⏱️ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required.

***

### 💼 Business use cases

<table>
<tr>
<td width="50%" valign="top">

#### 📊 Data & Analytics

- Build trend reports and dashboards from live source data
- Feed BI tools, warehouses, and ML pipelines with structured records
- Run periodic snapshots to track changes over time
- Compare segments, regions, or categories with consistent fields

</td>
<td width="50%" valign="top">

#### 🏢 Operations & Strategy

- Monitor competitor moves, pricing, and inventory shifts
- Build internal directories and lookup tools backed by current data
- Power workflows that depend on fresh source records
- Cut manual data-gathering time from hours to minutes

</td>
</tr>
<tr>
<td width="50%" valign="top">

#### 🎯 Marketing & Growth

- Identify market opportunities and trending topics
- Research target audiences and customer personas at scale
- Power lead-generation pipelines with verified records
- Track sentiment, reviews, or social signals over time

</td>
<td width="50%" valign="top">

#### 🛠️ Engineering & Product

- Prototype features that need real-world data without owning a crawler
- Replace fragile in-house scrapers with a managed Actor
- Wire datasets into your apps via the Apify API or webhooks
- Skip the proxy, retry, and parsing maintenance entirely

</td>
</tr>
</table>

***

### 🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

<table>
<tr>
<td width="50%">

#### 🎓 Research and academia

- Empirical datasets for papers, thesis work, and coursework
- Longitudinal studies tracking changes across snapshots
- Reproducible research with cited, versioned data pulls
- Classroom exercises on data analysis and ethical scraping

</td>
<td width="50%">

#### 🎨 Personal and creative

- Side projects, portfolio demos, and indie app launches
- Data visualizations, dashboards, and infographics
- Content research for bloggers, YouTubers, and podcasters
- Hobbyist collections and personal trackers

</td>
</tr>
<tr>
<td width="50%">

#### 🤝 Non-profit and civic

- Transparency reporting and accountability projects
- Advocacy campaigns backed by public-interest data
- Community-run databases for local issues
- Investigative journalism on public records

</td>
<td width="50%">

#### 🧪 Experimentation

- Prototype AI and machine-learning pipelines with real data
- Validate product-market hypotheses before engineering spend
- Train small domain-specific models on niche corpora
- Test dashboard concepts with live input

</td>
</tr>
</table>

### 🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

- 💬 [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20MONSTER%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🧠 [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20MONSTER%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🔍 [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20MONSTER%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)
- 🅒 [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20MONSTER%20SCRAPER%20Scraper%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.)

***

### ❓ Frequently Asked Questions

**🔍 How does it work?**
Enter your search keywords, location, and filters, then click Start. The tool collects matching job listings from Monster.com and delivers them as structured data.

**📊 How accurate is the data?**
Data is collected directly from Monster.com in real-time, ensuring the most current job listing information available.

**📅 Can I schedule regular runs?**
Yes. Use the Apify platform to schedule daily, weekly, or monthly runs for ongoing job market monitoring.

**🌍 Which countries are supported?**
The tool supports 12 countries: United States, United Kingdom, Canada, Ireland, Germany, Austria, France, Belgium, Netherlands, Sweden, Spain, and Switzerland.

**⚖️ Is collecting Monster.com data allowed?**
The tool collects publicly available job listing data. It is your responsibility to comply with applicable laws and Monster.com's terms of service.

**🛡️ Will Monster.com block me?**
The tool uses residential proxies by default to ensure reliable data collection. Blocks are handled automatically with retry logic.

**⚡ How long does a run take?**
Roughly 1-2 minutes for 100 listings. Larger runs (1,000+) may take 5-15 minutes depending on filters and proxy performance.

**⚠️ Are there any limits?**
Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

### 🔗 Integrate Monster Jobs Scraper with any app

- [Make](https://docs.apify.com/platform/integrations/make) - Automate workflows
- [Zapier](https://docs.apify.com/platform/integrations/zapier) - Connect 5000+ apps
- [GitHub](https://docs.apify.com/platform/integrations/github) - Version control integration
- [Slack](https://docs.apify.com/platform/integrations/slack) - Get notifications
- [Airbyte](https://docs.apify.com/platform/integrations/airbyte) - Data pipelines
- [Google Drive](https://docs.apify.com/platform/integrations/drive) - Export to spreadsheets

### 🔌 Integrate with any app

Monster Jobs Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations):

- [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows
- [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps
- [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels
- [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse
- [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases
- [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh data into your product backend, or alert your team in Slack.

***

### 💡 More ParseForge Actors

- [FINRA BrokerCheck Scraper](https://apify.com/parseforge/finra-brokercheck-scraper) - Extract broker and firm compliance data from FINRA
- [Lead Formatter Tool](https://apify.com/parseforge/lead-formatter) - Format and enrich lead data for outreach campaigns
- [PR Newswire Scraper](https://apify.com/parseforge/pr-newswire-scraper) - Collect press releases and company news updates
- [Hubspot Marketplace Scraper](https://apify.com/parseforge/hubspot-marketplace-scraper) - Extract business app listings from HubSpot marketplace
- [Greatschools Scraper](https://apify.com/parseforge/greatschools-scraper) - Collect school ratings, reviews, and enrollment data

Browse our complete collection of [data extraction tools](https://apify.com/parseforge) for more.

### 🚀 Ready to Start?

[Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) and collect your first 100 results for free. No coding, no setup.

### 🆘 Need Help?

- Check the FAQ section above for common questions
- Visit the [Apify support page](https://docs.apify.com) for documentation and tutorials
- Contact us to request a new scraper, propose a custom project, or report an issue at [Tally contact form](https://tally.so/r/BzdKgA)

### ⚠️ Disclaimer

> This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Monster Worldwide, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

***

### 🔗 Recommended Actors

- [**🔍 Google Search Scraper**](https://apify.com/parseforge/google-search-scraper) - Multi-engine SERP results with country and language targeting
- [**🗺️ Nominatim OSM Scraper**](https://apify.com/parseforge/nominatim-osm-scraper) - Geocode addresses via OpenStreetMap
- [**📊 Indexmundi Scraper**](https://apify.com/parseforge/indexmundi-scraper) - Global demographic and economic indicators
- [**📰 RAG Web Browser**](https://apify.com/parseforge/rag-web-browser) - Crawl and extract clean text from any URL for AI retrieval
- [**🌐 Website Content Crawler**](https://apify.com/parseforge/website-content-crawler) - Crawl entire sites and export structured content

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers.

# Actor input Schema

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

Job title or keywords to search for

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

City, state, or country to search in

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

Free users: Limited to 100. Paid users: Optional, max 1,000,000

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

Country to search in

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

Filter by employment type

## `radius` (type: `integer`):

Search radius in miles from the location

## `recency` (type: `string`):

Filter by when the job was posted

## `proxyConfiguration` (type: `object`):

Residential proxies are required to bypass Monster.com's WAF

## Actor input object example

```json
{
  "keyword": "software engineer",
  "location": "New York",
  "maxItems": 10,
  "country": "us",
  "employmentType": "all",
  "radius": 30,
  "recency": "any",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Overview of job listings with key fields

## `fullData` (type: `string`):

Complete dataset with all scraped job fields

# 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 = {
    "keyword": "software engineer",
    "location": "New York",
    "maxItems": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/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 = {
    "keyword": "software engineer",
    "location": "New York",
    "maxItems": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/monster-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 '{
  "keyword": "software engineer",
  "location": "New York",
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call parseforge/monster-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Monster Scraper",
        "description": "Scrape job listings from Monster.com. Search by keyword, location, employment type, date posted, and radius. Extract title, company, salary, description, skills, SOC codes, geo coordinates, apply URLs, and 25+ structured fields. Supports US, UK, Canada, and EU countries. Lightweight and fast.",
        "version": "0.0",
        "x-build-id": "RZJFBW5SlWbbwCmqE"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~monster-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-monster-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~monster-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-monster-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~monster-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-monster-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "keyword": {
                        "title": "Job Title / Keywords",
                        "type": "string",
                        "description": "Job title or keywords to search for"
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "City, state, or country to search in"
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free users: Limited to 100. Paid users: Optional, max 1,000,000"
                    },
                    "country": {
                        "title": "Country",
                        "enum": [
                            "us",
                            "gb",
                            "ca",
                            "ie",
                            "de",
                            "at",
                            "fr",
                            "be",
                            "nl",
                            "se",
                            "es",
                            "ch"
                        ],
                        "type": "string",
                        "description": "Country to search in",
                        "default": "us"
                    },
                    "employmentType": {
                        "title": "Employment Type",
                        "enum": [
                            "all",
                            "FULL_TIME",
                            "PART_TIME",
                            "CONTRACT",
                            "TEMP",
                            "INTERN",
                            "REMOTE"
                        ],
                        "type": "string",
                        "description": "Filter by employment type",
                        "default": "all"
                    },
                    "radius": {
                        "title": "Search Radius (miles)",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Search radius in miles from the location",
                        "default": 30
                    },
                    "recency": {
                        "title": "Date Posted",
                        "enum": [
                            "any",
                            "today",
                            "last 2 days",
                            "last week",
                            "last 2 weeks",
                            "last month"
                        ],
                        "type": "string",
                        "description": "Filter by when the job was posted",
                        "default": "any"
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "Residential proxies are required to bypass Monster.com's WAF"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```