# Monster.comJobs Scraper (`unfenced-group/monster-scraper`) Actor Scrape Monster.com job listings with full descriptions, company info, salary, and location. Filter by keyword, US state, and recency. 2M+ active US jobs. - **URL**: https://apify.com/unfenced-group/monster-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs - **Stats:** 5 total users, 1 monthly users, 61.1% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.89 / 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. 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 Jobs Scraper Banner](https://i.imgur.com/VIUoLG4.png) ## Monster Jobs Scraper Scrape job listings from [Monster.com](https://www.monster.com) — the largest US job board with over 2 million active listings. Extract full job details including description, company, salary, and location without needing an API key or account. ### Features - **Full job descriptions** — complete HTML, plain text, and Markdown formats - **Company information** — name and official website - **Location data** — city, state, and remote status - **Employment type** — full-time, part-time, contract, temporary - **Salary data** — when provided by the employer - **Publication date** — extracted from the job index (updated daily) - **Keyword search** — filter by job title or skill - **Location filter** — by US state, state code, or city+state - **Date filter** — only return jobs posted within N days - **Cross-run deduplication** — skip jobs already seen in previous runs - **startUrls mode** — scrape specific job pages directly ### Input | Field | Type | Description | |---|---|---| | `keyword` | string | Job title or keyword. All words must appear in the title. Example: `software engineer` | | `location` | string | US state name, code, or city+state. Examples: `New York`, `NY`, `California`, `Austin, TX` | | `maxResults` | integer | Maximum results to return (default: 100) | | `daysOld` | integer | Only jobs posted within this many days. 0 = no limit | | `fetchDetails` | boolean | Fetch full description and company info (default: true) | | `skipReposts` | boolean | Skip jobs seen in previous runs (90-day window) | | `startUrls` | array | Specific Monster.com job-openings URLs to scrape | ### Output Each result contains: | Field | Type | Notes | |---|---|---| | `id` | string | Monster job UUID | | `url` | string | Canonical job URL on monster.com | | `title` | string | Job title | | `company` | string | Employer name | | `companyWebsite` | string | Employer website URL | | `location` | string | City, State | | `city` | string | City only | | `stateCode` | string | 2-letter US state code | | `country` | string | Always `US` | | `workTypes` | array | e.g. `["FULL_TIME"]`, `["CONTRACT"]` | | `isRemote` | boolean | True for fully remote positions | | `salaryMin` | number | Minimum salary (when provided) | | `salaryMax` | number | Maximum salary (when provided) | | `salaryText` | string | Formatted salary range | | `salaryCurrency` | string | Always `USD` | | `salaryPeriod` | string | `YEAR`, `MONTH`, `HOUR` | | `publishDate` | string | Date in `YYYY-MM-DD` format | | `publishDateISO` | string | Date in `YYYY-MM-DD` format | | `descriptionHtml` | string | Full job description as HTML | | `descriptionText` | string | Full job description as plain text | | `descriptionMarkdown` | string | Full job description as Markdown | | `directApply` | boolean | True if application is accepted directly on Monster | | `expiresDate` | string | Date the listing expires | | `isRepost` | boolean | True if seen in a previous run | | `source` | string | Always `monster.com` | | `scrapedAt` | string | ISO timestamp of when the job was scraped | ### Examples **Search for software engineers in New York:** ```json { "keyword": "software engineer", "location": "New York", "maxResults": 100, "fetchDetails": true } ```` **Find nurses posted in the last 7 days in Texas:** ```json { "keyword": "nurse", "location": "Texas", "daysOld": 7, "maxResults": 50, "fetchDetails": true } ``` **Browse all recent jobs in California:** ```json { "location": "CA", "daysOld": 1, "maxResults": 200, "fetchDetails": true } ``` **Daily feed — only new jobs since yesterday:** ```json { "keyword": "marketing manager", "daysOld": 1, "skipReposts": true, "maxResults": 500, "fetchDetails": true } ``` ### Performance | Scenario | Time | Items | |---|---|---| | Common keyword (nurse, manager) | 4–10s | 10 | | Sparse keyword + state | 10–60s | 10 | | 50 items with full details | ~11s | 50 | | 200 items, no details | ~7s | 200 | ### Pricing **$0.89 per 1,000 results** (Pay Per Event) Compute cost per run is under $0.001 — revenue is almost entirely margin. No proxy costs. ### Notes - Coverage: United States only (Monster.com US) - Location matching is state-level — all jobs in a state are returned, not just a city - Some job listings do not include salary; `salaryMin`, `salaryMax`, and `salaryText` will be `null` - Remote jobs typically have no city/stateCode (location will be `null` or `"Remote"`) - The `fetchDetails: false` option returns partial data (title, location, date) without description or company # Actor input Schema ## `keyword` (type: `string`): Job title or keyword to search for. All words must appear in the job title. ## `location` (type: `string`): US state name, state code, or city+state (e.g. 'New York', 'NY', 'California', 'Austin, TX'). ## `maxResults` (type: `integer`): Maximum number of job listings to return. ## `daysOld` (type: `integer`): Only return jobs posted or updated within this many days. 0 = no limit. ## `fetchDetails` (type: `boolean`): Fetch full job description, company info, salary, and employment type from each job page. Recommended: true. Set to false for URL-only discovery. ## `skipReposts` (type: `boolean`): Skip jobs already seen in a previous run (cross-run deduplication, 90-day window). ## `startUrls` (type: `array`): Directly process specific Monster.com job-openings URLs. ## Actor input object example ```json { "keyword": "software engineer", "location": "New York", "maxResults": 100, "daysOld": 0, "fetchDetails": true } ``` # Actor output Schema ## `OUTPUT` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/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 '{}' | apify call unfenced-group/monster-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/monster-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Monster.comJobs Scraper", "description": "Scrape Monster.com job listings with full descriptions, company info, salary, and location. Filter by keyword, US state, and recency. 2M+ active US jobs.", "version": "0.0", "x-build-id": "tbBMnJ82IYUHOlIDO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~monster-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~monster-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-monster-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~monster-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-monster-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Keyword", "type": "string", "description": "Job title or keyword to search for. All words must appear in the job title." }, "location": { "title": "Location", "type": "string", "description": "US state name, state code, or city+state (e.g. 'New York', 'NY', 'California', 'Austin, TX')." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of job listings to return.", "default": 100 }, "daysOld": { "title": "Days old", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only return jobs posted or updated within this many days. 0 = no limit.", "default": 0 }, "fetchDetails": { "title": "Fetch full details", "type": "boolean", "description": "Fetch full job description, company info, salary, and employment type from each job page. Recommended: true. Set to false for URL-only discovery.", "default": true }, "skipReposts": { "title": "Skip reposts", "type": "boolean", "description": "Skip jobs already seen in a previous run (cross-run deduplication, 90-day window)." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Directly process specific Monster.com job-openings URLs.", "items": { "type": "object" } } } }, "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 } } } } } } } } } } ```