Scrape AI Job Postings → Analyze Demand Trends → Generate Market Report
Track AI job market demand across industries to understand where AI adoption is actually happening versus the hype, providing data-driven insights for career planning or investment decisions.
Workflow Steps
Phantombuster
Scrape AI job listings
Set up automated LinkedIn and Indeed scrapers to collect AI-related job postings weekly. Target keywords like 'AI Engineer', 'Machine Learning', 'AI Product Manager' across different industries and company sizes.
Google Sheets
Consolidate and clean data
Use Google Sheets automation to merge job data, remove duplicates, and categorize by industry, company size, experience level, and salary ranges. Create pivot tables for trend analysis.
ChatGPT
Generate trend analysis
Feed cleaned data to ChatGPT to identify hiring patterns, emerging AI roles, salary trends, and industry adoption rates. Request specific insights about gap between AI hype and actual hiring demand.
Canva
Create visual report
Use Canva's API or manual templates to generate professional charts showing AI hiring trends, industry breakdown, and salary evolution. Create shareable infographic format for social media.
Workflow Flow
Step 1
Phantombuster
Scrape AI job listings
Step 2
Google Sheets
Consolidate and clean data
Step 3
ChatGPT
Generate trend analysis
Step 4
Canva
Create visual report
Why This Works
Provides concrete data to cut through AI hype by measuring actual hiring demand, helping users understand where AI is genuinely being adopted versus just being talked about.
Best For
Career coaches, investors, and professionals who need data-driven insights on real AI adoption versus hype
Explore More Recipes by Tool
Comments
No comments yet. Be the first to share your thoughts!