Amazon & Trendyol Price and Buy Box Tracker

Track public Amazon and Trendyol product pages for price, seller, availability and Buy Box signals — and get the change since the last run, not just today's number.

Give it direct product URLs, or give it a search / listing URL and let it find the product links.

{
  "startUrls": [
    { "url": "https://www.amazon.com/dp/B0EXAMPLE" },
    { "url": "https://www.trendyol.com/marka/urun-adi-p-123456" }
  ],
  "searchUrls": [
    { "url": "https://www.trendyol.com/sr?q=kablosuz+kulaklik" }
  ],
  "marketplace": "auto",
  "maxProducts": 50,
  "includeUnchanged": false,
  "useApifyProxy": true,
  "proxyGroups": ["RESIDENTIAL"]
}

{
  "marketplace": "trendyol",
  "url": "https://www.trendyol.com/marka/urun-adi-p-123456",
  "productId": "123456",
  "title": "Marka Kablosuz Kulaklık",
  "brand": "Marka",
  "price": 1299.9,
  "currency": "TRY",
  "seller": "Marka Resmi Mağaza",
  "buyBoxSeller": "Marka Resmi Mağaza",
  "isBuyBoxWinner": true,
  "availability": "InStock",
  "rating": 4.4,
  "reviewCount": 2841,
  "offersObserved": 3,
  "previousPrice": 1499.9,
  "priceChange": -200,
  "priceChangePercent": -13.34,
  "status": "ok",
  "checkedAt": "2026-08-28T09:00:00.000Z",
  "error": null
}

What this does that a generic scraper does not

Every row carries its own history. previousPrice, priceChange and priceChangePercent are computed against the snapshot stored in the run's key-value store, so a scheduled run is a change feed, not a re-scrape. Point snapshotKeyValueStoreId at a named store to keep one history across runs.

Prices come out as numbers, in the right magnitude. "1.299,90" and "1,299.90" are parsed to the same amount. priceText keeps the original string so you can audit the parse.

A challenge page is never a price. Amazon and Trendyol return consent, captcha and bot-protection pages under load. Those become status: "blocked" with an explanation — never a fabricated 0 or a stale number.

Proxy is on by default. Both marketplaces block most datacenter IPs. A direct request is tried first; if it is empty or challenged and useApifyProxy is on, the page is retried through Apify Proxy with rotation. RESIDENTIAL is the most reliable group for marketplace pages.

Discovery is bounded. Search / listing URLs contribute the product links found on the page, capped by maxProducts. The run never wanders past the cap.

Input

Field	What it does
startUrls	Direct Amazon / Trendyol product URLs
searchUrls	Search or listing URLs; product links on them are added, up to maxProducts
marketplace	auto, amazon or trendyol — filter seeds to one marketplace
maxProducts	Hard cap on unique product pages fetched (1–500)
requestTimeoutSecs	Per-request timeout (5–120)
includeUnchanged	Keep rows with no price / seller / Buy Box change
currency	Optional currency-code label; blank keeps the marketplace currency
snapshotKeyValueStoreId	Named KV store for cross-run price history; blank uses the shared default
useApifyProxy	Retry blocked pages through Apify Proxy (recommended on)
proxyGroups	Optional proxy groups such as RESIDENTIAL

Output

One row per product: identity, price / currency / priceText, seller / buyBoxSeller / isBuyBoxWinner, availability, rating, reviewCount, offersObserved, and the previousPrice / priceChange / priceChangePercent delta. Unreadable or challenged pages are emitted with status of blocked, not-found, unsupported or error and an error message, so a run is always auditable.

Limits, stated plainly

• No JavaScript rendering. Prices drawn purely client-side with no markup come back thin; status says not-found rather than guessing.
• Buy Box is a signal, not a scrape of the offer listing. buyBoxSeller mirrors the seller shown on the product page; offersObserved counts offer-bearing JSON-LD blocks.
• Discovery only sees links on the page given. It does not paginate a search result set.
• Use this Actor lawfully and respect each marketplace's terms, robots rules, rate limits and applicable competition / data-protection law.

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Built alongside Scopras, an audit tool that grades a store's product data against what AI shopping agents need.