Each run captures a single point-in-time snapshot of price and stock status -- the actor itself does not maintain a price-history database or build charts. To track price changes over time, you schedule it to run repeatedly (hourly, daily, etc.) using Apify's built-in Scheduler or an external tool like Make or Zapier, and store each run's output yourself.
- Current price, list price, and discount percentage read from the live listing at run time
- In-stock, limited-stock, and out-of-stock status flags
- Seller and buy-box details, useful for spotting third-party sellers undercutting the main listing
- Pair with Apify's Scheduler to automate recurring pulls and feed your own price-history spreadsheet or warehouse table
Use cases
Intro mentioning Apify Scraper for Amazon Data
- Daily price monitoring with Apify Scraper for Amazon Data
- Stock level alerts via Apify Scraper for Amazon Data
- Discount tracking in seasonal campaigns using Apify Scraper for Amazon Data
- Currency normalization for global listings with Apify Scraper for Amazon Data
- competitor price benchmarking using Apify Scraper for Amazon Data
- Supply chain risk assessment aided by Apify Scraper for Amazon Data
End note on Apify Scraper for Amazon Data usage