# Monster Scraper - Jobs, Salaries & Descriptions (`thirdwatch/monster-jobs-scraper`) Actor Scrape jobs from Monster.com. Get job title, company, location, salary range, full description, and posting date. - **URL**: https://apify.com/thirdwatch/monster-jobs-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Jobs, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.80 / 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. 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 ## Monster Scraper > Scrape jobs from Monster.com — titles, companies, salaries, full descriptions, and posting dates from one of the largest US job boards. ### What you get Structured job listings from Monster.com, a major US job board that has been running since 1994. Search by keyword and location and get job titles, hiring company names, salary ranges, full descriptions, employment types, and posting dates — ready for spreadsheets, dashboards, or your own job-search app. ### Output fields | Field | Description | |-------|-------------| | `title` | Job title | | `company_name` | Hiring company | | `location` | Job location (city, state) | | `salary` | Salary range (when Monster publishes one) | | `description` | Full job description | | `posted_date` | Posting date | | `job_type` | Employment type (full-time, part-time, contract, etc.) | | `url` | Monster job URL | ### Example output ```json { "title": "Full Stack Developer", "company_name": "IBM", "location": "Austin, TX", "salary": "$100,000 - $140,000", "description": "Looking for a Full Stack Developer with React and Node.js experience to build customer-facing web applications...", "posted_date": "2026-04-07", "job_type": "Full-time", "url": "https://www.monster.com/job-openings/full-stack-developer-austin-tx" } ```` ### Input parameters | Parameter | Required | Description | |-----------|----------|-------------| | `queries` | Yes | List of job search queries (e.g., `["software engineer", "product manager"]`). | | `location` | No | Job location filter (e.g., `"new york"`, `"san francisco"`, `"remote"`). Leave blank to search nationwide. | | `maxResults` | No | Maximum number of jobs to return across all queries. Default `10`. | | `proxyConfiguration` | No | Apify proxy settings. Leave default for best results. | ### Use cases - **Job seekers**: Watch a specific role or location across Monster's US listings daily. - **Recruiters and talent teams**: Monitor competitor postings and hiring velocity on a mainstream US board. - **HR analytics**: Track salary bands and role availability by metro over time. - **Job aggregators**: Include Monster listings alongside Indeed, ZipRecruiter, and others in a single feed. ### Pricing Pay-per-result pricing. Tiered discounts apply automatically based on usage volume. | Tier | Price per result | |------|------------------| | FREE | $0.008 | | BRONZE | $0.006 | | SILVER | $0.005 | | GOLD | $0.004 | ### Limitations - Primarily US listings — international coverage on Monster is thin. - Salary range is not present on every listing; it depends on what the employer publishes. - Full descriptions come from detail pages, so very large runs take longer than a headline-only crawl. - Monster occasionally rotates listings in and out, so the same query on different days can return slightly different sets. ### Compared to alternatives - **vs. other Monster scrapers on Apify Store**: There is no established public competitor for Monster — this actor fills that gap with the same structured output shape used by our Indeed and ZipRecruiter scrapers. Pairs well with [Indeed Scraper](https://apify.com/thirdwatch/indeed-scraper), [ZipRecruiter Scraper](https://apify.com/thirdwatch/ziprecruiter-scraper), and [Google Jobs Scraper](https://apify.com/thirdwatch/google-jobs-scraper) for full US coverage. ### FAQ **Do I need a Monster account?** No. This actor only reads public listings. **Can I search remote-only jobs?** Yes. Set `location` to `"remote"`. **How many jobs can I get per query?** Set `maxResults` up to 500. Monster caps the total pool of unique results per query, so very large numbers may return fewer than requested. **How fresh is the data?** Pulled live at run time — as fresh as Monster's own search page. Last verified: 2026-04 More scrapers at [thirdwatch.dev](https://thirdwatch.dev). # Actor input Schema ## `queries` (type: `array`): List of job search queries. Examples: 'software engineer', 'data scientist', 'product manager'. ## `location` (type: `string`): Job location. Examples: 'new york', 'san francisco', 'remote'. ## `maxResults` (type: `integer`): Maximum number of jobs to scrape across all queries. ## `proxyConfiguration` (type: `object`): Proxy settings. Leave default for best results. ## Actor input object example ```json { "queries": [ "software engineer" ], "location": "", "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "queries": [ "software engineer" ], "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/monster-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "queries": ["software engineer"], "maxResults": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/monster-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 '{ "queries": [ "software engineer" ], "maxResults": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call thirdwatch/monster-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/monster-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Monster Scraper - Jobs, Salaries & Descriptions", "description": "Scrape jobs from Monster.com. Get job title, company, location, salary range, full description, and posting date.", "version": "1.0", "x-build-id": "fcJn5hXZ5tvcq3Cra" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~monster-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-monster-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~monster-jobs-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-monster-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~monster-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-monster-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "queries" ], "properties": { "queries": { "title": "Job Search Queries", "type": "array", "description": "List of job search queries. Examples: 'software engineer', 'data scientist', 'product manager'.", "default": [ "software engineer" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Job location. Examples: 'new york', 'san francisco', 'remote'.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of jobs to scrape across all queries.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Leave default for best results." } } }, "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 } } } } } } } } } } ```