Amazon Australia Product & Reviews Scraper

Scrape amazon.com.au products, deals and customer reviews at scale. Search by keyword with filters, filter to Deals & Discounts, or paste product / search / deal links (or bare ASINs). Every product comes back as one flat record with current price, was/original price and savings, ratings, star distribution, images, specifications and - optionally - the customer reviews Amazon publishes on the product page.

What it does

• Two ways to start
  • Search - one or more keywords, with sort, minimum-rating and price-range filters, walking forward through result pages.
  • URL - paste product pages (/dp/<ASIN>), search pages (/s?k=...), deal / category pages, or bare 10-character ASINs.
• Deals & Discounts - flip on Deals & discounts only to return just the products currently on a deal, price drop or coupon. Combine it with a keyword to find deals in a category, or leave keywords empty to browse the whole deals grid. Each discounted product carries its was/original price, savings amount, discount percentage and promo label (for example a coupon or a limited-time deal). Amazon Australia surfaces its specials through a single "Deals & Discounts" collection - there is no separate half-price / clearance sub-taxonomy - so this one switch covers the site's promotional view.
• Full product detail - open each product page for brand, list price, star distribution, availability, feature bullets, description, the full image gallery, category breadcrumb, specifications, best-seller rank and seller.
• Customer reviews - collect the reviews Amazon publishes on each product page: star rating, title, text, author, date, verified-purchase flag and helpful votes, plus aggregate rating statistics.
• Send results into your apps - optional Notion / Linear / Airtable / Apify export via MCP connectors, without changing the dataset.

Reviews: what you get

Amazon Australia shows the aggregate rating (average score, total ratings, and the 5-star-to-1-star distribution) and a set of top customer reviews to anonymous visitors - this actor captures all of them.

Note: amazon.com.au requires a signed-in account to open its full paginated review list. This actor does not sign in, so review collection returns the top reviews Amazon exposes publicly on the product page (typically the most relevant ones), each with full title, text, rating, author, date, verified-purchase flag and helpful-vote count. The aggregate rating, total rating count and star distribution are always captured in full.

Input

Field	Type	Description
mode	select	search (keyword + filters) or url (paste links / ASINs).
queries	string[]	Search keywords (search mode). Each keyword is searched separately. Leave empty with specialsOnly on to browse all deals.
sortBy	select	relevance, price_asc, price_desc, newest, avg_rating, best_selling.
specialsOnly	boolean	Only return products on Amazon Australia's Deals & Discounts (deals, price drops, coupons). Default false.
minRating	select	Keep products rated at least 3, 4 or 5 stars (or any).
minPrice / maxPrice	integer	Keep products within an AUD price range.
urls	string[]	Product / search / category URLs, or bare ASINs (url mode).
fetchDetails	boolean	Open each product page for full detail. Default true.
fetchReviews	boolean	Also collect customer reviews. Default false.
maxReviewsPerProduct	integer	Cap reviews per product (0 = all available). Default 10.
maxItems	integer	Max products for the whole run (0 = unlimited). Default 20.
maxPages	integer	Optional bound on result pages walked per keyword/URL. Empty walks every result page (does not cap products; maxItems does).
resumeFromRunId	string	Optional. ID of a previous run of this actor (or a dataset ID). Products already in that dataset are skipped, so this run returns only NEW products (a delta). Combine both runs' datasets for the full set. Max products then counts only the new products.
proxy	object	Proxy configuration (Australian residential recommended).
mcpConnectors	array	Optional MCP connectors to export results into.

Example input

{
  "mode": "search",
  "queries": ["echo dot"],
  "sortBy": "avg_rating",
  "minRating": "4",
  "minPrice": 30,
  "maxPrice": 150,
  "fetchDetails": true,
  "fetchReviews": true,
  "maxReviewsPerProduct": 10,
  "maxItems": 20,
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "AU" }
}

Example input - deals only

{
  "mode": "search",
  "queries": ["coffee machine"],
  "specialsOnly": true,
  "fetchDetails": true,
  "maxItems": 20,
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "AU" }
}

Output

One record per product. Example (values below are illustrative):

{
  "asin": "B0EXAMPLE01",
  "title": "Example Smart Speaker (3rd Gen) with Voice Assistant - Charcoal",
  "url": "https://www.amazon.com.au/dp/B0EXAMPLE01",
  "brand": "ExampleBrand",
  "price": 79.0,
  "listPrice": 99.0,
  "currency": "AUD",
  "savings": 20.0,
  "savingsPercent": 20,
  "promoLabel": "Limited time deal",
  "isOnSpecial": true,
  "rating": 4.5,
  "reviewsCount": 1284,
  "ratingDistribution": { "5": 72, "4": 15, "3": 6, "2": 3, "1": 4 },
  "availability": "In stock",
  "inStock": true,
  "features": [
    "Rich, room-filling sound with clear vocals",
    "Ask the voice assistant to play music, set timers and control smart devices"
  ],
  "description": "A compact smart speaker for any room.",
  "categories": ["Electronics", "Smart Home", "Smart Speakers"],
  "specs": { "Model Number": "EX-3000", "Release Year": "2024", "Connectivity": "Wi-Fi, Bluetooth" },
  "bestSellersRank": 12,
  "seller": "Example Retail AU",
  "shipsFrom": "Amazon AU",
  "images": [
    "https://m.media-amazon.com/images/I/EXAMPLE01._AC_SL1000_.jpg",
    "https://m.media-amazon.com/images/I/EXAMPLE02._AC_SL1000_.jpg"
  ],
  "thumbnailImage": "https://m.media-amazon.com/images/I/EXAMPLE01._AC_SL1000_.jpg",
  "reviewsCollected": 8,
  "reviewStats": {
    "averageRating": 4.5,
    "totalRatings": 1284,
    "ratingDistribution": { "5": 72, "4": 15, "3": 6, "2": 3, "1": 4 }
  },
  "reviews": [
    {
      "reviewId": "REXAMPLE00001",
      "rating": 5.0,
      "title": "Great value",
      "body": "Easy to set up and the sound is excellent for the size.",
      "author": "Sample Reviewer",
      "date": "2025-02-14",
      "reviewedIn": "Australia",
      "verifiedPurchase": true,
      "helpfulCount": 6,
      "variation": "Colour Name: Charcoal",
      "reviewUrl": "https://www.amazon.com.au/gp/customer-reviews/REXAMPLE00001"
    }
  ],
  "searchMode": "search"
}

Field reference

Field	Description
asin	Amazon product identifier.
title, brand, url	Product name, brand, canonical product URL.
price, listPrice, currency, savings, savingsPercent	Current price, was/original (strike-through) price, AUD, and computed savings and discount percentage.
promoLabel, isOnSpecial	Promo / coupon / deal label shown on the listing (when present), and a boolean flag set when the product is currently discounted.
rating, reviewsCount, ratingDistribution	Average stars, total rating count, and the 5★→1★ percentage split.
availability, inStock	Stock text and a boolean.
features, description	Feature bullets and long description.
categories, specs, bestSellersRank	Category breadcrumb, specification table, best-seller rank.
seller, shipsFrom	Seller / dispatch information from the buy box.
images, thumbnailImage	Full image gallery and the primary image.
reviews, reviewsCollected, reviewStats	Collected reviews, their count, and aggregate statistics (present when reviews are enabled).

Whenever a value is not published for a product, the field is omitted or null rather than guessed.

Proxy

Amazon Australia serves results to Australian residential connections, so the actor uses an Australian residential exit by default and rotates a fresh exit per request. Apify Proxy is recommended for reliable results.

Notes

• Prices, ratings and stock are captured as shown on the storefront at scrape time.
• Filters (minRating, minPrice, maxPrice) are applied to each product's own values, so exact numeric ranges work independently of Amazon's coarse on-site filters.
• The run periodically checkpoints its progress, so if the platform restarts the run (a server migration, or you use Resurrect) it picks up where it left off instead of starting over, with no duplicate products and no double charges. No input is needed for this; it's automatic.