Etsy Trends Dashboard Scraper

I need a small but reliable tool that automatically scans Etsy for the newest listings, captures each item’s current sales count, and then presents those insights on a live dashboard.
Key points and expectations:

• Scraping & data logic
– Crawl Etsy at a reasonable interval, detect brand-new products, and pull their title, shop name, price, and total sales or “purchased by” count.
– Handle pagination, category depth, and anti-bot measures gracefully.

• Dashboard presentation
– Show the findings in both charts and sortable tables so I can spot breakout items at a glance.
– Basic filters (e.g., category, date added, minimum sales) will make the view more useful.

• Tech stack & hosting
– I’m flexible on language (Python, Node, etc.) as long as it’s stable and easy to maintain.
– A lightweight web framework or BI tool is fine for the front end; please suggest what you’re most comfortable with.

• Deliverables
1. Scraper script(s) with clear setup instructions.
2. A functional dashboard wired to live or scheduled data refresh.
3. Brief hand-off notes so I can run or tweak it later.

I’ll shortlist applicants who describe relevant Etsy or large-marketplace scraping experience and point me to similar dashboards you’ve built.