Structured job listing data from Monster Jobs for market insights and recruitment.
Select the country for job search.
Enter the company name to filter job listings.
Enter the city or region.
Comma-separated keywords (e.g., React, Next.js).
Number of pages to scrape.
Select job type.
Choose time range.
Results to deliver
15,100 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
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Pricing
This tool extracts detailed job postings from Monster Jobs, including job titles, company names, locations, descriptions, and salary estimates, helping recruiters and market researchers track hiring trends and talent demand.
### Understand the Job Market with Monster Jobs Data This specialized tool is designed to extract comprehensive job listing data directly from Monster Jobs. It provides a structured way to gather current information about available positions, company hiring activities, and the demand for specific skills across various regions. ### Who Benefits from This Data? * **Recruitment Agencies:** Build targeted candidate pipelines by identifying companies frequently hiring for specific roles and skills, or by understanding regional talent availability. * **Human Resources Professionals:** Benchmark salaries for various positions, analyze talent acquisition strategies of competitors, and monitor the overall health of the job market for specific industries or locations. * **Market Analysts:** Track hiring trends for emerging technologies, identify growth sectors, and understand shifts in skill demand, providing valuable insights for strategic planning. * **Job Seekers & Career Counselors:** Gain an advantage by monitoring new openings at target companies, researching salary expectations for desired roles, or advising on in-demand skills and career paths. ### What Data You'll Receive For each job posting, the tool retrieves essential details: * The direct URL to the job listing on Monster Jobs. * The name of the hiring company. * The date the job was originally posted. * The full job description content. * The specific job title. * The location of the job (city or region). * The source through which the job was posted (e.g., "posted via Monster"). * Any available salary information, offering crucial insights into compensation trends. ### How It Helps Your Workflow Instead of manually sifting through countless job pages, this tool delivers a clean, organized dataset. This enables rapid analysis, allowing you to: * Quickly identify average salary ranges for similar roles in different geographical areas. * Pinpoint companies that are actively expanding their teams in particular domains. * Observe the types of roles and required skills that are gaining or losing traction over time. Customize your data collection by specifying the target country, filtering by exact company names, defining a location, using comma-separated keywords (e.g., "React, Node.js"), selecting specific job types (full-time, part-time, contractor, intern), and choosing the posting date range (today, last 3 days, last week, or last month) to ensure your data is always relevant and current.
Select the country and enter the specific city or region where you want to search for jobs.
Optionally, provide a company name, comma-separated keywords, or choose a specific job type to refine your search.
Specify how many pages of job listings to fetch and select a time range for when the jobs were posted.
Run the tool, and it will begin collecting job listing data from Monster Jobs based on your criteria.
Once the run is complete, download your structured job data in your preferred format for analysis.