Monster Job Scraper — U.S. Job Listings

What does Monster Job Scraper do?

Monster Job Scraper extracts structured job data from monster.com — including salary data, contact details, company metadata, full descriptions, remote-work indicators, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.

What data can you extract from monster.com?

Each result includes Core listing fields (jobId, title, location, city, state, country, isRemote, and salaryText, and more), detail fields when enrichment is enabled (description), contact and apply information (applyUrl), and company metadata (company, companyId, and companyUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords.
• country — Which market to search. (default: "US")
• location — City, state, or region.
• radius — Search radius around location in miles. (default: 30)
• employmentType — Filter by employment type.
• datePosted — Filter by how recently jobs were posted.
• maxResults — Maximum total results (0 = unlimited). (default: 25)
• includeDetails — Fetch full job details. (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• incrementalMode — Compare against previous run state. (default: false)
• stateKey — Stable identifier for tracked universe.

Input example

{
  "query": "software engineer",
  "country": "US",
  "radius": 30,
  "maxResults": 5,
  "includeDetails": true,
  "descriptionMaxLength": 0,
  "compact": false,
  "incrementalMode": false
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "b06725d4c8b444ee1031bd119612121273d84c82273846377305e96ef673664b",
  "title": "Experienced Computer Engineer/Software Developer",
  "company": "Naval Nuclear Laboratory",
  "companyId": "7772fa42-3e72-4275-a075-2f4518024f15",
  "companyUrl": null,
  "location": "Niskayuna, NY, US",
  "city": "Niskayuna",
  "state": "NY",
  "country": "US",
  "isRemote": false,
  "salaryText": "USD 94,800 - 148,200 / year",
  "employmentType": null,
  "description": "Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a pos...",
  "skills": null,
  "url": "https://www.monster.com/job-openings/experienced-computer-engineer-software-developer-niskayuna-ny--44f4f9a4-723b-4829-97ae-8a6885313e9f?mstr_dist=true",
  "applyUrl": "https://career-hcm03.ns2cloud.com/sfcareer/jobreqcareer?jobId=7334&company=NNLHCM03&utm_source=PPC",
  "postedDate": "2026-02-24",
  "scrapedAt": "2026-03-31T23:20:29.080Z",
  "source": "monster.com",
  "portalUrl": "https://www.monster.com",
  "changeType": null
}

How to scrape monster.com

1. Go to Monster Job Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from monster.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape monster.com?

Monster Job Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.001 per job record

Example costs:

• 10 results: $0.01
• 100 results: $0.11
• 500 results: $0.51

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from monster.com?

The number of results depends on the search query and available listings on monster.com. Use the maxResults parameter to control how many results are returned per run.

Does Monster Job Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Monster Job Scraper with other apps?

Yes. Monster Job Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Monster Job Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Monster Job Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape monster.com?

This actor extracts publicly available data from monster.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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