💼 Monster Jobs Scraper

Collect structured job listings from Monster.com without coding. Designed for recruiters, HR teams, and market researchers who need a Monster.com scraper without coding, this tool lets you download Monster job data as CSV, Excel, or JSON. Search by keyword, location, and filters across 12 countries to monitor competitor hiring or benchmark salaries at scale.

The Monster Jobs Scraper collects up to 29 structured fields per job listing, including salary, skills, geo coordinates, and direct apply URLs, across 12 countries.

✨ What Does It Do

• 💰 Salary data - Benchmark compensation ranges with currency and pay period across roles and regions
• 🛠️ Skills extraction - Identify in-demand skills for any job market or role
• 🎯 Direct apply URLs - Feed application links directly into your recruiting pipeline
• 🌍 Geo coordinates - Map job distribution by latitude and longitude for location intelligence
• 🔢 SOC occupation codes - Classify jobs by standardized occupation codes for labor market analysis
• 📄 Full descriptions - Access complete job postings with short summaries for quick filtering

🔧 Input

• maxItems - How many job listings to collect. Start small (10) to preview results, then scale up
• keyword - Job title or keywords to search for, like "software engineer" or "marketing manager"
• location - City, state, or region to search in, like "New York" or "London"
• country - Target country for your search. Supports US, UK, Canada, Germany, France, and 7 more
• employmentType - Filter by Full-time, Part-time, Contract, Temporary, Internship, or Remote
• radius - Search radius in miles from the location (1 to 100 miles)
• recency - Filter by when the job was posted: Today, Last 2 days, Last week, Last 2 weeks, or Last month

{
    "maxItems": 10,
    "keyword": "software engineer",
    "location": "New York",
    "country": "us"
}

📊 Output

Each job listing includes up to 29 data fields. Download as JSON, CSV, or Excel.

📄 Job title	🏢 Company name	📍 Location
💰 Salary range	💱 Salary currency	🏷️ Employment type
📝 Full description	📋 Short description	🔗 Job URL
🎯 Apply URL	📮 Apply type	🖼️ Company logo
🧠 Normalized title	🏢 Normalized company	📬 Postal code
🌐 Geo coordinates	🏠 Location type	🛠️ Skills
📊 Occupational category	🔢 SOC codes	📅 Date posted
⏰ Date recency	📆 Valid through	🕐 Created date
🔄 Modified date	🆔 Job ID	🏭 Provider
🔍 Search engine	📥 Ingestion method	⭐ Promoted status

💎 Why Choose the Monster Jobs Scraper?

Feature	Our Actor	Monster Jobs Scraper (orgupdate)
Structured fields per listing	✔️ 29 fields	❌ ~7 fields
Salary extraction with currency	✔️	Partial
Skills extraction	✔️	❌
SOC occupation codes	✔️	❌
Geo coordinates (lat/lng)	✔️	❌
Direct apply URLs	✔️	❌
Normalized job titles	✔️	❌
Short description summaries	✔️	❌
Company logo URLs	✔️	❌
12 countries supported	✔️	Partial
Employment type filter	✔️	✔️
Date posted filter (5 options)	✔️	Partial
Search radius filter	✔️	❌
maxItems control	✔️	❌ (page-based only)
Automatic retry with session rotation	✔️	❌
CSV, Excel, JSON export	✔️	✔️

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account w/ $5 credit
2. Find the Tool: Search for "Monster Jobs Scraper" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 💼 Recruiters and Staffing Agencies - Track competitor job postings and required skills across target markets to identify hiring gaps and place candidates faster
• 📊 HR and Compensation Analysts - Collect salary data across regions and roles to build compensation benchmarks that keep your offers competitive during annual reviews
• 🔬 Labor Market Researchers - Monitor job posting volume and skill demand trends across countries to produce quarterly workforce intelligence reports

❓ FAQ

🔍 How does it work? Enter your search keywords, location, and filters, then click Start. The tool collects matching job listings from Monster.com and delivers them as structured data.

📊 How accurate is the data? Data is collected directly from Monster.com in real-time, ensuring the most current job listing information available.

📅 Can I schedule regular runs? Yes. Use the Apify platform to schedule daily, weekly, or monthly runs for ongoing job market monitoring.

🌍 Which countries are supported? The tool supports 12 countries: United States, United Kingdom, Canada, Ireland, Germany, Austria, France, Belgium, Netherlands, Sweden, Spain, and Switzerland.

⚖️ Is collecting Monster.com data allowed? The tool collects publicly available job listing data. It is your responsibility to comply with applicable laws and Monster.com's terms of service.

🛡️ Will Monster.com block me? The tool uses residential proxies by default to ensure reliable data collection. Blocks are handled automatically with retry logic.

⚡ How long does a run take? Roughly 1-2 minutes for 100 listings. Larger runs (1,000+) may take 5-15 minutes depending on filters and proxy performance.

⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

🔗 Integrate Monster Jobs Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Monster Worldwide, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.