Job Board Aggregator

Scrape job listings from 10+ platforms simultaneously. Track hiring trends by role, company, and geography. Monitor salary ranges and predict market moves.

Job postings are a leading indicator of where companies are moving. Who's hiring engineers? Which startups are expanding? Where is compensation going? This actor pulls job listings from LinkedIn, Indeed, Glassdoor, Stack Overflow, GitHub Jobs, AngelList, and more—in one place. Track hiring trends, benchmark salaries, and spot opportunities before the market does.

⚡ What You Get

Job Market Intelligence Report
├── Search: "Product Manager" (US-based, AI/ML companies)
├── Data Scope: Last 30 days
├── Total Listings Found: 2,847
├── Platform Breakdown
│   ├── LinkedIn: 1,204 listings (42%)
│   ├── Indeed: 892 listings (31%)
│   ├── Glassdoor: 456 listings (16%)
│   ├── Stack Overflow: 234 listings (8%)
│   └── Other platforms: 61 listings (2%)
├── Hiring Hot Spots 👈 See which companies are aggressively hiring
│   ├── OpenAI: 34 open PM roles (up from 12 last month)
│   ├── Anthropic: 28 roles
│   ├── Google AI: 67 roles
│   ├── Meta: 45 roles
│   └── Trend: AI/ML companies hiring aggressively (+34% MoM)
├── Salary Intelligence
│   ├── Median Salary: $145,000 - $175,000
│   ├── Top 25% (premium roles): $195,000 - $250,000
│   ├── Bottom 25% (junior/early-stage): $110,000 - $130,000
│   ├── Equity (median): 0.08% - 0.15%
│   └── Trend: Salaries up 12% YoY
├── Seniority Breakdown
│   ├── Senior (5+ yrs): 45% of roles
│   ├── Mid-level (2-5 yrs): 38% of roles
│   └── Junior (<2 yrs): 17% of roles
├── Geographic Heatmap
│   ├── San Francisco Bay Area: 1,204 roles (42%)
│   ├── New York: 456 roles (16%)
│   ├── Remote: 1,187 roles (42%, global)
│   └── Emerging: Austin, Seattle (15% growth)
├── Skills Most Demanded
│   ├── "Machine Learning": 847 mentions
│   ├── "Analytics": 723 mentions
│   ├── "SQL": 621 mentions
│   ├── "Python": 589 mentions
│   └── "Product Strategy": 512 mentions
└── Market Signals
    ├── Hiring Velocity: Rising (+8% WoW)
    ├── Average Time to Fill: 52 days
    ├── Turnover Signal: Reposted roles indicate turnover
    └── Next Move: Expect Q2 hiring surge in AI/ML

🎯 Use Cases

• Job Seekers: Track salary trends in your field. See where demand is highest. Identify growth companies vs declining ones.
• Recruiters: Build sourcing lists, understand market rates, identify companies on hiring sprees. Know which companies to prospect.
• Career Analysts: Predict market shifts. Rising PM demand in AI signals where the money is flowing.
• HR Teams: Benchmark salaries competitively. Know what you're up against when hiring for a role.
• Investors: Hiring patterns reveal company health. Big hiring surge = growth stage. No hiring = financial stress.
• Talent Acquirers: Find acquisition targets. Company suddenly posting 20 roles? They're either scaling or panicking.

📊 Sample Output

{
  "search_query": "Product Manager",
  "filters": {
    "location": "United States",
    "industry": "AI/ML",
    "date_range": "30_days"
  },
  "scan_timestamp": "2024-02-15T10:30:00Z",
  "total_listings": 2847,
  "by_platform": [
    {
      "platform": "LinkedIn",
      "count": 1204,
      "percentage": 42
    },
    {
      "platform": "Indeed",
      "count": 892,
      "percentage": 31
    }
  ],
  "top_hiring_companies": [
    {
      "company": "OpenAI",
      "open_roles": 34,
      "previous_month": 12,
      "change_percent": 183,
      "roles": ["Product Manager", "Senior PM", "PM - Enterprise"]
    },
    {
      "company": "Anthropic",
      "open_roles": 28,
      "roles": ["Product Manager", "Senior Product Manager"]
    }
  ],
  "salary_insights": {
    "median_base_salary": {
      "low": 145000,
      "high": 175000,
      "currency": "USD"
    },
    "percentiles": {
      "p25": 110000,
      "p50": 160000,
      "p75": 220000
    },
    "equity_median_percent": 0.12,
    "bonus_median_percent": 18
  },
  "skills_demanded": [
    {
      "skill": "Machine Learning",
      "mentions": 847,
      "frequency_percent": 29.8
    },
    {
      "skill": "Analytics",
      "mentions": 723,
      "frequency_percent": 25.4
    }
  ],
  "seniority_distribution": {
    "senior_5plus_years": 45,
    "mid_level_2_5_years": 38,
    "junior_under_2_years": 17
  },
  "geographic_distribution": [
    {
      "location": "San Francisco Bay Area",
      "count": 1204,
      "percentage": 42
    },
    {
      "location": "Remote",
      "count": 1187,
      "percentage": 42
    }
  ],
  "hiring_trends": {
    "week_over_week_change": 8,
    "month_over_month_change": 34,
    "trend_direction": "rising"
  },
  "average_time_to_fill_days": 52,
  "market_signals": [
    "AI/ML companies hiring 34% more than last month",
    "Remote roles now 42% of all postings",
    "Salaries up 12% YoY"
  ]
}

Field Descriptions:

• top_hiring_companies: Which companies have most open roles for your search
• salary_insights: Median, percentiles, equity, and bonus ranges
• skills_demanded: Most frequently mentioned skills with frequency
• hiring_trends: Week-over-week and month-over-month growth rates
• market_signals: Interpreted insights about market direction

🔗 Integrations & Automation

Email Digest: Weekly summary of new openings matching your criteria, salary trends, and hot companies.

Slack Alerts: Your dream company just posted 5 new PM roles? Notified in Slack immediately.

Webhook to CRM: Auto-append job posting data to company profiles. See hiring activity in real-time.

MCP Compatible: AI agents analyze entire job markets and identify patterns.

REST API: Daily scans, build job market dashboards, track compensation trends.

See integration docs →

🔌 Works Great With

• Crunchbase Company Scraper — Company just raised Series B? Check their job postings. Funded = hiring surge expected.
• Website Tech Stack Detector — See what tech companies are using, then find job postings for engineers who know that stack.
• Competitive Intelligence Engine — Job postings are part of broader competitive picture. What products are they building?
• LinkedIn Company Intelligence — Get company employee counts, then compare to job postings. Hiring or shrinking?

💰 Cost & Performance

Typical run: Aggregate 3,000 job listings from 8 platforms, analyze salaries and trends in 3 minutes for ~$4.15.

That's $0.00138 per listing — cheaper than looking at one job posting on Indeed manually.

Compare to manual: One recruiter manually checking each job board takes 4+ hours daily. At $40/hour, that's $160/day. Our cost: $4.15/scan. At 3 scans daily, that's $12.45. You're saving $147.55 per day.

🛡️ Built Right

• Multi-platform parsing handles different HTML structures and data formats
• Salary extraction works even when format varies (base + equity + bonus)
• Duplicate detection prevents counting same job posted across platforms twice
• Trend analysis compares current postings to historical baselines
• Geolocation tagging works for distributed roles and remote positions
• Skills extraction identifies required technologies and competencies

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📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.