A pricing engine that compares similar vehicles
Budget: $250 – $750 USD
I need a full-stack monitoring tool that watches Japanese vehicle listings on Marketplace A around the clock, captures fresh ads the moment they appear, and refreshes the dataset once a day. The core of the job is reliable, anti-bot-safe scraping, a structured database, and a lightweight dashboard that lets me filter by model, year, mileage, grade, and compare each new price against recent sales to spot anything that sits noticeably below the market average.
Preferred stack is Python or Node.js—whichever you can justify for speed and stability. I expect you to design the scraper, handle rotating proxies or headless browsers where necessary, store the data efficiently, and surface it in a clean web UI with search plus email / push alerts.
Deliverables
• Robust scraper for Marketplace A with anti-bot evasion
• Database schema housing price, mileage, year, model, grade, timestamps
• Price-comparison logic that flags bargains automatically
• Dashboard with live search, filters, and alert management
• Deployment guide (Docker or similar) and brief hand-off call
Daily refreshes are fine, but your architecture should be able to scale to shorter intervals later. Let me know how you would tackle rate limits, your estimated timeline, cost breakdown, and any similar monitoring or marketplace projects you’ve completed.
Preferred stack is Python or Node.js—whichever you can justify for speed and stability. I expect you to design the scraper, handle rotating proxies or headless browsers where necessary, store the data efficiently, and surface it in a clean web UI with search plus email / push alerts.
Deliverables
• Robust scraper for Marketplace A with anti-bot evasion
• Database schema housing price, mileage, year, model, grade, timestamps
• Price-comparison logic that flags bargains automatically
• Dashboard with live search, filters, and alert management
• Deployment guide (Docker or similar) and brief hand-off call
Daily refreshes are fine, but your architecture should be able to scale to shorter intervals later. Let me know how you would tackle rate limits, your estimated timeline, cost breakdown, and any similar monitoring or marketplace projects you’ve completed.