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monitoringpricingdashboard

Built a real-time price tracker with Scraper.bot

MS
Maria Santos
March 18, 2026 at 7:12 AM
I just finished building a real-time price tracking dashboard and wanted to share how I did it with Scraper.bot. The system monitors 500+ products across Amazon, Best Buy, and Walmart. It runs every 30 minutes during business hours and sends Slack alerts when prices drop by more than 10%. Architecture: - Scraper.bot flows for data collection (one per retailer) - Webhooks pushing data to a Supabase database - Next.js dashboard for visualization with Recharts - Slack integration for price drop alerts Key learnings: 1. Each retailer needs slightly different scraping strategies. Amazon uses dynamic pricing that changes based on headers, so I had to configure custom user agents. 2. Scheduling flows every 30 minutes hits the Pro plan limits, so I stagger them across retailers. 3. The monitoring feature in Scraper.bot is perfect for detecting when a product page structure changes. Happy to answer any questions or share more details about the setup!

3 Replies

JW
James WilsonMarch 18, 2026 at 8:45 AM
This is impressive! How do you handle products that have multiple variants (sizes, colors)? Do you track each variant separately or just the base price?
MS
Maria SantosMarch 18, 2026 at 9:30 AM
Good question! I track each variant as a separate product entry. The scraper extracts all variants from the product page and creates individual records with a shared productGroupId. It adds some complexity but gives much better price insight.
JW
James WilsonMarch 18, 2026 at 9:45 AM
Smart approach. I might try something similar for my comparison shopping project. Thanks for sharing!
ST
Scraper TeamStaffMarch 18, 2026 at 11:00 AM
Love seeing projects like this! We'd love to feature this as a case study on our blog if you're interested. Feel free to reach out to us at team@scraper.bot.

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