Web Scraping Real Price Data for Content Accuracy

The Problem with Stale Prices Travel content with outdated prices loses credibility and rankings. Manually checking prices across dozens of articles is impractical. I built a pipeline that verifies and updates price data automatically. Data Sources Numbeo API: cost of living indices by city Booking.com: hotel prices (via Exa AI search) Airline sites: flight costs (via search aggregation) Local sources: grocery and transport prices Using Exa AI for Price Verification Exa AI provides instant search results perfect for price checking: async function verifyPrice ( query ) { const res = await fetch ( " https://api.exa.ai/search " , { method : " POST " , headers : { " x-api-key " : process . env . EXA_API_KEY , " Content-Type " : " application/json " }, body : JSON . stringify ({ query , type : " instant " , numResults : 3 , highlights : true }) }); const data = await res . json (); return data . results . map ( r => ({ title : r . title , url : r . url , highlights : r . highlights })); } C