Build MVP: AI-Powered Lead Finder for Radio Advertising (Scraping + GPT + Dashboard)

Description:
We’re building an intelligent tool to help radio stations discover which local businesses are most likely to buy advertising — based on real-world signals like job listings, promotions, online activity, and competitor ad presence.
We need a developer or small team to build a lean MVP that:
• Pulls business data from Google Maps and Facebook Pages (Nelson, NZ to start)
• Scrapes public job boards (Seek, Indeed) and FB/IG for signals like “Now Hiring”, “Sale now on”, “New location”
• Analyzes web content to detect changes (e.g. new banners, promo keywords)
• Scores leads (1–10) based on signal strength
• Generates a suggested sales opener using GPT (OpenAI API)
• Displays results in Airtable or lightweight dashboard (Streamlit, Glide, or similar)
Ideal Skills:
• Python, BeautifulSoup/Selenium (or other scraping tools)
• GPT/OpenAI API integration
• Airtable, Zapier, or Streamlit
• Bonus: Familiarity with Facebook Ad Library, Wappalyzer, or Google Ads tools
Deliverables:
• MVP scraping + scoring pipeline
• Dynamic list of 100+ leads with signals, scores, and suggested sales angles
• Feedback session + suggestions for scaling in future phases
Budget:
USD $3,000–$6,000 depending on experience + features