# 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:** 2 total users, 1 monthly users, 16.7% runs succeeded, 0 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/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 ## 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") | | `employmentType` | String | Employment type badge from the job card | | `datePosted` | String | Recency label (e.g. "2 days ago") | | `description` | String | Job description (null on listing pages) | | `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. - The `description` field is not populated on search results pages. Monster loads descriptions client-side after a user clicks. To get full descriptions, implement a second-pass fetch against each `jobUrl`. - 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. ## `resumeCursor` (type: `string`): Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs). ## `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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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("💾 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 '{ "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": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/monster-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Monster Jobs Scraper", "description": "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.", "version": "0.1", "x-build-id": "Q0uZ3G2cXVg2soNhe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~monster-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~monster-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-monster-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~monster-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-monster-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "What will this data feed? E.g. lead lists, KYB checks, price tracking." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact email (optional)", "minLength": 1, "type": "string", "description": "We'll personally help with your use case. No spam." }, "resumeCursor": { "title": "Resume cursor (continue a previous run)", "type": "string", "description": "Leave empty for a fresh crawl. To CONTINUE a previous run where it stopped — without paying again for records you already received — paste the `resumeCursor` value from that run's Output (the run's OUTPUT key). Resume promptly: the previous run's data expires with your account's retention window (free tier: your ~10 most recent runs)." }, "keyword": { "title": "Keyword", "type": "string", "description": "Job title or keywords to search for (e.g. \"software engineer\", \"nurse\")" }, "location": { "title": "Location", "type": "string", "description": "City, state, or region to search in (e.g. \"New York\", \"London\", \"Remote\")" }, "country": { "title": "Country", "enum": [ "us", "gb", "ca", "au", "de", "fr", "nl", "be", "at", "ch", "nz", "ie" ], "type": "string", "description": "Country to search in. Supported: us, gb, ca, au, de, fr, nl, be, at, ch, nz, ie" }, "employmentType": { "title": "Employment Type", "enum": [ "", "fulltime", "parttime", "contractor", "intern" ], "type": "string", "description": "Filter by employment type (leave blank for all types)" }, "datePosted": { "title": "Date Posted", "enum": [ "", "today", "week", "month" ], "type": "string", "description": "Filter by recency (leave blank for all time)" }, "radius": { "title": "Radius (miles)", "enum": [ "5", "10", "20", "50", "100" ], "type": "string", "description": "Search radius in miles from the location" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of job listings to scrape" } } }, "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 } } } } } } } } } } ```