Extract job posting details from Monster.com - job titles, company profiles, locations, full descriptions, company logos, and employer background data - to research positions and analyze the employment market.
Monster.com is one of the original online job boards and remains a major employment marketplace with millions of job listings across every industry and experience level. Unlike niche boards that focus on specific sectors or work arrangements, Monster covers the full spectrum - from entry-level retail positions to C-suite executive roles, across technology, healthcare, finance, manufacturing, and government. For job seekers casting a wide net, staffing agencies sourcing candidates, or labor market researchers studying employment patterns across industries, Monster's breadth is its strength.
This robot extracts detailed data from individual Monster.com job postings: job title, company name, location, full description, posting date, and rich company profile data including website, founding year, industry, size, about section, and logo. Build structured datasets from one of the internet's longest-running job databases.
What Monster.com job data extraction enables:
| Field | Sample Value |
|---|---|
| Job Title | Senior Sitecore Platform Manager |
| Company Name | Vaco LLC |
| Location | Dallas, TX |
| Company Industry | Staffing/Employment Agencies |
| Company Size | 2,500 to 4,999 employees |
No Monster.com API, no employer account, and no scraping code. Search for jobs on Monster and the robot extracts the postings.
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Try this robot free →Monster's breadth across industries and experience levels supports comprehensive employment market analysis:
Each Monster.com job posting yields these structured fields:
| Field | What it contains |
|---|---|
| Job Title | The position title as listed by the employer. |
| Company Name | The hiring organization's name. |
| Location | The job's city and state. |
| Date | When the listing was published (e.g., '22 days ago'). |
| Description | The full job description text, including responsibilities, requirements, and qualifications. |
| Company Website | The employer's website URL. |
| Company Founded | The year the company was established. |
| Company Industry | The employer's industry classification (e.g., 'Staffing/Employment Agencies'). |
| Company Size | Employee count range (e.g., '2,500 to 4,999 employees'). |
| About Company | The employer's self-description and company overview. |
| Logo | URL of the company's logo image as displayed on Monster. |
Monster.com provides rich employer context alongside job details. Company profile data comes from what employers submit to Monster and may not reflect real-time changes.
What is a Monster.com scraper?
It extracts job posting data from Monster.com - titles, companies, locations, descriptions, and rich employer profile data including website, industry, founding year, and size - and delivers it as structured data for comparison and analysis.
Does Monster still have relevant job listings?
Yes. Monster remains one of the largest job databases globally, with millions of active listings across all industries and experience levels.
What company data does this robot extract?
Beyond the job itself, the robot captures the employer's website, founding year, industry, company size, about section, and logo - giving you a full employer profile alongside the posting.
Can I search by industry on Monster?
Yes. Apply industry, location, experience, and salary filters on Monster before copying the URL. The robot extracts only the filtered results.
Is this Monster.com scraper free?
Browse AI's free plan includes credits to run this robot at no cost. Create an account without a credit card.
Monster provides breadth - combine with specialized boards for depth in specific industries or work arrangements:
Titles, salaries, companies - structured employment data from Monster.com.
