Monster Job Scraper | US Salary & Remote

What does Monster Job Scraper do?

Monster Job Scraper extracts structured job data from monster.com — including salary data, apply URLs, company metadata, full descriptions, remote-work indicators, location data, 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.

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Key features

• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Monster jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any monster.com URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
• 📋 Detail enrichment — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• 📧 Email + phone extraction — every record carries extractedEmails[] and extractedPhones[] regex-pulled from the description — direct-outreach lists with no extra processing step.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] and structured socialProfiles { linkedin, twitter, github, … } parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line.
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.

What data can you extract from monster.com?

Each result includes Core job fields (jobId, title, location, city, state, country, latitude, and longitude, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, and benefits), apply information (applyUrl), and company metadata (company, companyId, companyUrl, and companyWebsite). 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. Leave blank if using Start URLs instead.
• startUrls — Paste Monster.com search or job-detail URLs directly. Works alongside or instead of Search Term(s). Compatible with Incremental Mode — stateKey tracks the combined universe regardless of input type.
• country — Market to search. monster.com (United States) is the only Monster site still publishing job listings — its other country portals stopped in November 2025 and monster.co.uk now redirects away entirely. (default: "US")
• location — City, state, or region.
• radius — Search radius around location in miles. (default: 30)
• companyName — Filter to jobs at a specific employer. Matches against the company name in the Monster URL slug.
• employmentType — Filter by employment type.
• datePosted — Filter by how recently jobs were posted.
• lat — GPS latitude of the search centre. Pair with Longitude and GPS Radius (km) to keep only jobs within that radius of this exact point — distinct from the mileage 'Search Radius' above. Jobs whose coordinates are unknown are always kept.
• lon — GPS longitude of the search centre. Pair with Latitude.
• radiusKm — Keep only jobs within this many kilometres of the (Latitude, Longitude) centre — a precise filter over each job's exact coordinates, independent of the mileage 'Search Radius'. Jobs whose coordinates are unknown are always kept.
• maxResults — Maximum total results. Up to 1,500 per run. 0 = unlimited. (default: 25)
• ...and 24 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "software engineer",
  "employmentType": "FULL_TIME",
  "datePosted": "TODAY",
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "employmentType": "FULL_TIME",
  "datePosted": "TODAY",
  "maxResults": 50,
  "compact": true
}

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": "e88f27cc8309b5aae7dbd3b85e9da8a82c4b14c02e31e94d123cea3dd0c5dfb3",
  "title": "Travel Nurse RN - Registered Nurse First Assistant - $2,641 per week in Charleston, WV",
  "company": "TravelNurseSource",
  "companyId": "track5travelnurse",
  "location": "Charleston, WV, US",
  "city": "Charleston",
  "state": "WV",
  "country": "US",
  "isRemote": false,
  "salaryText": "USD 2,641+ / weekly",
  "salaryMin": 2641,
  "salaryMax": 2641,
  "salaryCurrency": "USD",
  "salaryUnit": "weekly",
  "postedVia": "track5travelnurse",
  "description": "TravelNurseSource is working with GetMed Staffing to find a qualified RNFA RN in Charleston, West Virginia, 25304! GetMed Staffing is searching for a strong RNFA to assist our traveler-friendly client...",
  "descriptionHtml": "TravelNurseSource is working with GetMed Staffing to find a qualified RNFA RN in Charleston, West Virginia, 25304!<br/><br/>GetMed Staffing is searching for a strong RNFA to assist our traveler-friend...",
  "descriptionMarkdown": "TravelNurseSource is working with GetMed Staffing to find a qualified RNFA RN in Charleston, West Virginia, 25304!\n\nGetMed Staffing is searching for a strong RNFA to assist our traveler-friendly clien...",
  "contentHash": "cf9afcb820cd387b937c2aec1afe3e9ac3c9b6f4709460dd0c55bd911c655b0b",
  "url": "https://www.monster.com/job-openings/travel-nurse-rn-registered-nurse-first-assistant-2-641-per-week-in-charleston-wv-charleston-wv--9f64e5ec-5d20-43b6-88a1-e273e81d2293",
  "applyUrl": "https://www.travelnursesource.com/job/29960177EXPPLAT/travel-nurse-rn-registered-nurse-first-assistant-2641-per-week-in-charleston-wv?utm_source=monster&utm_medium=feed&utm_campaign=monster-tns&utm_co...",
  "postedDate": "2026-06-06",
  "scrapedAt": "2026-06-08T20:44:54.921Z",
  "source": "monster.com",
  "portalUrl": "https://www.monster.com"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

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, 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 jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• 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: $0.015
• 25 results: $0.03
• 100 results: $0.11
• 200 results: $0.21
• 500 results: $0.51

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.11	$0.01	$0.10 (90%)	$0.30
15% — moderate broad query	$0.11	$0.02	$0.09 (81%)	$0.60
30% — high-volume aggregator	$0.11	$0.03	$0.07 (67%)	$1.05

Full re-scrape monthly cost at the same cadence: $3.15. First month with incremental costs $0.40 / $0.68 / $1.12 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from monster.com?

The number of results depends on the search query and available jobs 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 jobs 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, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields 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.

Which Monster markets does this scraper cover?

The United States (monster.com). That is the only Monster site still publishing job listings — the other national portals stopped updating in November 2025, and monster.co.uk now redirects away from job search entirely. A run aimed at another market fails immediately with a clear message instead of quietly returning US listings.

Jobs advertised outside the US do still reach monster.com through applicant-tracking feeds, and those come back like any other listing — search by city or keyword to find them.

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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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on monster.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Monster's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Monster.

Search keywords

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