Scrape Tech News → Analyze Leadership Trends → Update Research Database
Systematically collect and analyze tech executive transitions to identify industry patterns and maintain a comprehensive leadership database.
Workflow Steps
Apify
Scrape tech news websites
Use Apify's web scraping actors to automatically collect articles from TechCrunch, The Verge, and other tech publications, filtering for executive appointments, departures, and company leadership changes
OpenAI API
Extract and categorize leadership data
Process scraped articles through OpenAI's GPT-4 to extract structured data: executive name, company, position, transition type, background, and strategic implications
Zapier
Clean and format data
Use Zapier's formatter tools to standardize company names, normalize job titles, and ensure consistent data structure before database entry
Airtable
Store in research database
Automatically add extracted leadership data to an Airtable base with views for tracking trends by industry, company size, and transition patterns, including linked records for companies and executives
Workflow Flow
Step 1
Apify
Scrape tech news websites
Step 2
OpenAI API
Extract and categorize leadership data
Step 3
Zapier
Clean and format data
Step 4
Airtable
Store in research database
Why This Works
Automates the tedious process of manually tracking hundreds of executive moves across the tech industry, while AI extraction ensures consistent, structured data that reveals patterns humans might miss.
Best For
Market research firms building comprehensive databases of tech industry leadership changes
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