Monster Job Scraper | US Salary & Remote

What does Monster Job Scraper | US Salary & Remote do?

Monster Job Scraper | US Salary & Remote extracts structured job data from monster.com — including salary data, apply URLs, 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.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 🌎 14-market coverage — 14 Global markets supported — monster.com, monster.co.uk, monster.ca, and 11 more. One actor, one codebase, one input shape across the region. Pick a country per run, or schedule parallel runs per market for a unified hiring feed.
• ♻️ 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.
• 🔔 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.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

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), 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. 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 — Which market to search. (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.
• maxResults — Maximum total results. Up to 1,500 per run. 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)
• ...and 15 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": "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
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• 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 | US Salary & Remote 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 listings 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.
• 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 | US Salary & Remote 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

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings 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 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

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 daily polling: $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 listings on monster.com. Use the maxResults parameter to control how many results are returned per run.

Does Monster Job Scraper | US Salary & Remote 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 | US Salary & Remote with other apps?

Yes. Monster Job Scraper | US Salary & Remote 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 | US Salary & Remote 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 | US Salary & Remote 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.

You might also like

• Actiris Brussels Job Scraper — Scrape all active job listings from actiris.brussels — official Brussels public employment service..
• Adzuna Job Scraper — Global Jobs with Salary & Coordinates — Scrape adzuna.com job listings across 19 country markets with structured salary data.
• APEC.fr Scraper - French Executive Jobs — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,.
• Arbeitsagentur Jobs Feed — German Federal Employment Agency — Extract job listings from arbeitsagentur.de — Germany's official public employment portal with 1M+.
• Arbeitsagentur Scraper - German Jobs — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,.
• Arbetsformedlingen Job Scraper — Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment portal. Returns 84.
• AutoScout24 Scraper — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured.
• Bayt.com Scraper - Jobs from the Middle East — Scrape bayt.com - the leading Middle East job board. Salary data, experience requirements.

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.