Job Market Analyzer — Multi-Platform Salary & Demand Intelligence

Analyze job markets across 5 major platforms in a single run. Get unified listings, salary benchmarks, skill demand rankings, and hiring trends — no manual searching required.

Platforms Covered

Platform	Data Collected
Indeed	Job title, company, salary, location, description snippets
LinkedIn Jobs	Job title, company, salary ranges, location, seniority level
Glassdoor	Job title, company, salary estimates, location, ratings context
Wellfound	Startup jobs, equity info, salary, remote-first roles
Upwork	Freelance rates, budget ranges, required skills, proposals

Use Cases

• Job seekers — Compare salaries across platforms for the same role. Find which platform has the most openings for your skills. Filter by remote, experience level, and minimum salary.
• Recruiters & HR — Benchmark compensation packages against market data. Identify which skills are most in demand for specific roles. Track hiring trends by location and work type.
• Salary benchmarking — Get median, mean, P10-P90 salary data broken down by platform, experience level, and location. See salary distributions in $25K buckets.
• Market research — Discover top hiring companies, most requested skill combinations, remote vs onsite ratios, and job freshness metrics across the entire market.
• Freelancers — Compare full-time salaries against Upwork freelance rates. Identify the highest-paying skill combinations.

What You Get

Unified Job Listings

Every job is normalized into a consistent format:

• Title — Job title as posted
• Company — Hiring company name
• Salary — Raw + normalized annual USD equivalent (handles hourly/monthly/yearly)
• Location — City/state/country
• Work type — Remote / Hybrid / Onsite (auto-classified from text)
• Experience level — Entry / Mid / Senior (detected from title + description)
• Skills — Extracted from description (100+ known tech and business skills)
• Posted date — Normalized from relative time strings
• URL — Direct link to the original listing
• Platform — Source platform

Market Analytics Dashboard

The summary output includes:

• Salary statistics — Mean, median, min, max, P10/P25/P75/P90 (overall + by platform + by experience)
• Salary distribution — Histogram buckets for visualization
• Top 30 skills in demand — With count and percentage
• Top skill pairs — Most common skill co-occurrences
• Top 20 hiring companies — Ranked by number of openings
• Work type breakdown — Remote vs hybrid vs onsite percentages
• Experience level breakdown — Entry vs mid vs senior distribution
• Top 15 locations — Where the jobs are concentrated
• Freshness report — Jobs posted in last 24h, 7d, 30d

Input Parameters

Parameter	Type	Required	Default	Description
jobTitle	String	Yes	—	Job title or keywords (e.g., "Data Engineer")
location	String	No	Any	City, state, country, or "Remote"
remoteOnly	Boolean	No	false	Only return remote positions
experienceLevel	Enum	No	any	Filter: entry, mid, senior, or any
salaryMin	Integer	No	—	Minimum annual salary in USD
maxResults	Integer	No	200	Max results per platform (total up to 5x)
proxyConfiguration	Object	No	—	Proxy settings (residential recommended)

Example Input

{
    "jobTitle": "Data Engineer",
    "location": "Remote",
    "remoteOnly": true,
    "experienceLevel": "mid",
    "salaryMin": 100000,
    "maxResults": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Example Output

Summary Record

{
    "type": "summary",
    "query": {
        "jobTitle": "Data Engineer",
        "location": "Remote",
        "remoteOnly": true,
        "experienceLevel": "mid",
        "salaryMin": 100000
    },
    "results": {
        "totalRaw": 847,
        "afterDedup": 623,
        "afterFiltering": 412
    },
    "analytics": {
        "totalJobs": 412,
        "salary": {
            "overall": {
                "mean": 142000,
                "median": 135000,
                "min": 100000,
                "max": 285000,
                "p10": 105000,
                "p90": 195000
            }
        },
        "topSkills": [
            { "skill": "SQL", "count": 328, "percentage": 79.6 },
            { "skill": "Python", "count": 301, "percentage": 73.1 },
            { "skill": "AWS", "count": 245, "percentage": 59.5 }
        ],
        "workType": {
            "remote": { "count": 412, "percentage": 100.0 }
        }
    }
}

Job Record

{
    "type": "job",
    "title": "Senior Data Engineer",
    "company": "Stripe",
    "location": "Remote, US",
    "salaryRaw": "$160K - $210K/year",
    "salary": { "min": 160000, "max": 210000, "currency": "USD", "period": "year" },
    "annualized": { "annualMin": 160000, "annualMax": 210000, "annualMid": 185000 },
    "workType": "remote",
    "experienceLevel": "senior",
    "skills": ["Python", "SQL", "Spark", "AWS", "Kafka", "Airflow", "dbt"],
    "postedDate": "2026-02-28",
    "url": "https://www.indeed.com/viewjob?jk=abc123",
    "platform": "Indeed"
}

Pricing

Pay Per Event — $0.008 per job analyzed.

Jobs Analyzed	Cost
100 jobs	$0.80
500 jobs	$4.00
1,000 jobs	$8.00

You only pay for jobs that are successfully parsed and returned. No charge for failed requests or empty pages.

Tips for Best Results

1. Use residential proxies — Job sites aggressively block datacenter IPs. Residential proxies dramatically improve success rates.
2. Start with 50-100 max results — Test your query first, then scale up.
3. Be specific with job titles — "Senior React Developer" yields better results than "developer".
4. Combine with location — Even for remote searches, specifying a country helps platforms return relevant results.
5. Run weekly — Job markets shift fast. Schedule weekly runs to track trends over time.

Data Processing

• Salary normalization — Hourly, daily, weekly, monthly, and yearly rates are all converted to annual USD equivalents for apples-to-apples comparison.
• Skill extraction — 100+ tech and business skills are detected using pattern matching against job titles and descriptions.
• De-duplication — Cross-platform duplicates (same job posted on multiple sites) are merged, keeping the version with the most data.
• Work-type classification — Remote, hybrid, and onsite labels are inferred from title, description, and location keywords.
• Experience detection — Entry, mid, and senior levels are detected from title keywords, years-of-experience mentions, and seniority indicators.

Limitations

• Salary data is only available when platforms display it (roughly 30-50% of listings).
• Some platforms may block requests even with proxies. The actor retries failed pages automatically.
• Upwork listings are freelance/contract roles — salary normalization assumes full-time equivalent for comparison.
• LinkedIn public search has limited results without authentication.

Support

Found a bug or have a feature request? Open an issue on the actor's page or contact the developer.