Extract salary data from Monster.com - median salaries, salary ranges, and location adjustments - to research compensation benchmarks and negotiate informed offers.
Monster.com has been a major job search platform for over 25 years, and its salary research tool provides compensation data across thousands of job titles and locations. Each Monster salary page displays the average salary for a job title, the salary range from 10th to 90th percentile, geographic adjustments showing how compensation varies by city and state, related job titles with their salary comparisons, and direct links to job postings and location data.
For job seekers negotiating offers, HR teams setting competitive compensation bands, and workforce researchers studying labor market pricing, Monster's salary data provides structured benchmarks that anchor real-world compensation decisions. This robot extracts the complete salary profile from Monster pages: averages, ranges, related titles, and geographic details.
What Monster salary extraction provides:
| Job Title | Position | Average Salary | Low Salary | High Salary | City |
|---|---|---|---|---|---|
| Software Engineer | #1 | $120,000 | $85,000 | $165,000 | San Francisco, CA |
| Product Manager | #2 | $135,000 | $95,000 | $185,000 | New York, NY |
| Data Analyst | #3 | $95,000 | $65,000 | $140,000 | Chicago, IL |
| UX Designer | #4 | $110,000 | $78,000 | $155,000 | Austin, TX |
| Marketing Manager | #5 | $105,000 | $72,000 | $148,000 | Boston, MA |
No Monster.com account needed. The robot reads public salary pages and delivers structured compensation data.
Ready to get started?
Try this robot free →Structured compensation data powers negotiation and workforce planning:
Each Monster salary page provides:
| Field | What it contains |
|---|---|
| Job Title | The position title being researched. |
| Position | Ranking or order of the job listing. |
| Average Salary | Mean compensation for the role. |
| Low Salary | 10th percentile salary floor. |
| High Salary | 90th percentile salary ceiling. |
| Related Job Title | Similar roles with salary comparisons. |
| Related Salary | Compensation for related positions. |
| City | Geographic location of the position. |
| Salary | Base compensation amount. |
| Job Link | Direct URL to the job posting. |
| City Link | Direct URL to location salary data. |
Salary pages provide compensation context. For job posting data including employer and role details, use Monster job search scrapers.
How accurate is Monster salary data?
Monster aggregates salary data from job postings and self-reported compensation. It provides useful benchmarks, but actual offers vary by company and individual qualifications.
Can I compare salaries across cities?
Yes. Monster salary pages include geographic adjustments and city-specific data. Extract data for the same job title across locations for comparison.
Does it include benefits data?
Monster salary pages focus on base compensation. Benefits, bonuses, and equity data are not typically included in salary range displays.
Can I extract salaries for multiple job titles?
Run the robot on each job title's salary page. Export all results for cross-role compensation analysis.
Is this Monster salary scraper free?
Browse AI's free plan includes credits to run this robot. No credit card required.
Salary data is one dimension - combine with job posting details for complete compensation intelligence:
Medians, ranges, experience curves - compensation intelligence from Monster.com.
