Price Monitoring
Track prices and availability across a fixed set of products on a schedule, so you can detect changes rather than sample a single moment.
How it works
These Actors are designed to chain — the output of one is the input of the next.
- 1
Fix the product set
Build the list once with Amazon Search Scraper, or supply your own URLs, and keep it stable so runs are comparable.
- 2
Schedule the runs
Run the product Actor on an Apify schedule. Each run appends a dated dataset.
- 3
Compare across runs
Read successive datasets through the Apify API and diff price and availability per identifier.
Scrapers for this use case
3 Goldmine Actors serve this workflow.
Amazon Product Scraper
Amazon product scraper by URL or Amazon ASIN. Scrape Amazon product data: title, price, features, images, technical specifications, ratings and variations. Amazon scraper for market research, price comparison and competitive analysis.
Amazon Search Scraper
Amazon search scraper: scrape Amazon search results by keyword. Amazon keyword scraper for Amazon product search listings with titles, sale and original prices, ratings, review counts and product URLs, across result pages.
AliExpress Product Scraper | E-commerce Data Extraction
AliExpress scraper for search, category and product pages. Scrape AliExpress products with price, discount, rating, sales count, variants with per-SKU price and stock, shipping and store. AliExpress product scraper returning AliExpress product data in your currency and ship-to country.
What this does not solve
Worth knowing before you build a process on top of it.
- Change detection is your side of the job — the Actors return the current state, not a diff.
- Amazon prices vary by region, account and Buy Box winner, so pin the locale you care about.
- Frequent scheduling raises cost proportionally, because pricing is per result.