Amazon Product Details Scraper (Bestsellers & New Releases)

Amazon Bestsellers Scraper — Ranked Products, Prices and Reviews

Amazon Product Details Scraper (Bestsellers & New Releases) turns an Amazon Best Sellers, New Releases or Most Wished For list into a full product record for every ranked item — no ASIN list required. It reads asin, title, manufacturer, price, buyBoxPresent, productRating, countReview, soldBy, warehouseAvailability, bestsellerRanks and the rank each item held on the source list. Procurement teams, category managers and pricing analysts use it to turn a ranking into a structured catalogue snapshot in one run. Point it at a list address or a category, and it does the rest.

🧭 What is Amazon Product Details Scraper (Bestsellers & New Releases)?

It is an Apify Actor that expands an Amazon ranked-list page into ASINs and then collects a full product-detail record for each one, joined back to the rank it held. No Amazon account, Associates membership, or API key is required — it reads the public list and product pages directly. Results are written to an Apify dataset as structured JSON rows, one per product (or one per ranked card, in ranked-cards-only mode).

• List discovery by address or by list-type + category — paste a ranked-list URL, or supply listTypes (Best Sellers / New Releases / Most Wished For) plus categoryNodes (category slugs or numeric browse-node ids) and the Actor builds the list address itself.
• Identifying and pricing fields on every row — asin, title, manufacturer, price, buyBoxPresent, priceSource, retailPrice.
• Reviews and rating as a secondary data type — productRating, countReview, and an embedded reviews array per product.
• 22 Amazon marketplaces, with region and language control — marketplaceDomain, exitCountry, pageLanguage.
• Real pre-collection filters — topRanksOnly, minCardRating, maxCardPrice, maxProductsPerList, skipDuplicateAsins — so items that don't qualify never reach the product-detail fetch.
• Results downloadable as JSON, CSV or Excel from the run's Apify dataset, or read through the Apify API.

📊 What data can I extract with Amazon Product Details Scraper?

Every row carries where the product was found (its rank, list and category) alongside the product record itself. Field names below are exactly as pushed to the dataset — read from src/main.py.

Row identity and provenance (present on every row)

Field	Example Value	Use Case
type	"product" or "list_item"	Tells you which row shape you're reading — full product record, or ranked-card only
isChild	false	Always false in the current release — variant ASINs are listed under variations, not pushed as their own rows
asin	"B07GBZ4Q68"	Amazon's product identifier
url	"https://www.amazon.com/dp/B07GBZ4Q68"	The product page that was read
amazonDomain	"amazon.com"	Marketplace the row was collected from
language	"en-US" or null	Content language requested, if any
proxyCountry	"US"	Resolved marketplace region used for the connection
scrapedAt	"2026-08-15T10:04:22Z"	Collection timestamp, ISO 8601 UTC
success	true	false on a failed product-page fetch — see the note below

Ranked-list provenance (null/empty for direct ASIN input)

Field	Example Value	Use Case
sourceList	"best-sellers", "new-releases", "most-wished-for", "direct-input"	Which list family the item came from
listRank	7	Rank held on that list, rebuilt from the item's DOM position
listRankBadge	7	The rank number printed on the list itself, kept as a cross-check
listCategory	"Electronics"	Category the ranked list belongs to
listPage	1	Which ranked-list view (1–10) the item was found on
listUrl	"https://www.amazon.com/gp/bestsellers/electronics/"	The exact list address read
listItemsFound	28	How many ranked positions were readable on that view
listItemsAdvertised	50	How many ranked positions the view advertises (typically only ~30 render)
listAppearances	[{"sourceList":"best-sellers","listRank":7,"listCategory":"Electronics","listPage":1,"listUrl":"..."}]	Every rank/list this ASIN held, when skipDuplicateAsins collapses repeats to one row
cardTitle	"Wireless Earbuds, Bluetooth 5.3"	Title as printed on the ranked-list tile
cardPrice	29.99	Price as printed on the ranked-list tile
cardRating	4.6	Star rating as printed on the tile
cardReviewCount	18342	Rating count as printed on the tile
cardImageUrl	"https://m.media-amazon.com/images/..."	Tile thumbnail

Product record — pricing and availability (present on type: "product" rows; only a subset is present when the product-page fetch failed — see below)

Field	Example Value	Use Case
title	"Wireless Earbuds, Bluetooth 5.3, 40H Playtime"	Full product title
manufacturer	"SoundCore"	Brand
price	27.99	Current buy-box price
buyBoxPresent	true	Whether a buy-box price actually rendered
priceSource	"buy-box" or "unavailable"	Where price came from; never a substituted/neighbouring value
retailPrice	39.99	List/strikethrough price, when shown
priceSaving	12.00	retailPrice - price, when both are known
soldBy	"Anker Direct"	Merchant of record
sellerId	"A1B2C3D4E5"	Amazon seller id, when a seller link is present
fulfilledBy	"Amazon.com"	Fulfillment party
warehouseAvailability	"In Stock."	Availability text as Amazon prints it
priceShippingInformation	"FREE delivery Tue, Aug 19"	Delivery estimate text
deliveryMessage	"FREE delivery Tue, Aug 19"	Same delivery text, duplicated under a second key
pastSales	"1K+ bought in past month"	Social-proof text, when the page shows it

Product record — descriptive and catalogue data

Field	Example Value	Use Case
productRating	"4.6 out of 5 stars"	Average rating text
countReview	18342	Total rating count
attributeCount	24	Number of merged spec/attribute rows
bestsellerRanks	[{"rank":3,"category":"Earbud Headphones"}]	Every "Best Sellers Rank" line on the product page
features	["Bluetooth 5.3 with a stable, low-latency connection", "..."]	Feature-bullet list
aboutProduct	[{"name":"Brand","value":"SoundCore"}]	Rows from the "Product overview" table
productDescription	"Experience crystal-clear sound..."	Long-form description text
productDetails	[{"name":"Item model number","value":"A3939011"}]	Every merged spec/detail-bullet row
productSpecification	[{"name":"Item model number","value":"A3939011"}]	Only the rows that came from the structured spec table (subset of productDetails)
categoriesExtended	[{"name":"Electronics","url":"https://www.amazon.com/...","node":"172282"}]	Full breadcrumb trail with browse-node ids
importantInformation	["This item cannot be shipped to..."]	Warnings / safety notices, when present

Product record — media and variants

Field	Example Value	Use Case
imageUrlList	["https://m.media-amazon.com/images/...jpg"]	All gallery image URLs found
mainImage	{"imageUrl":"...","imageWidth":1500,"imageHeight":1500,"imageResolution":"1500 x 1500"}	The highest-resolution main image, from the page's own dynamic-image data
videoeUrlList	["https://.../video.mp4"]	Product video URLs (field name carries this spelling in the actual output)
variations	[{"asin":"B07GBZ4Q69","labels":["Black"],"dimensions":["Color"],"dpUrl":"/dp/B07GBZ4Q69"}]	Sibling ASINs (colour/size variants), not collected as their own rows
bookVariations	[{"format":"Hardcover","price":24.99,"asin":"B0...","url":"/dp/B0..."}]	Edition/format options, for book-type listings

Reviews (embedded array, capped — see the FAQ below)

Field	Example Value	Use Case
reviews	[{...}]	Up to 10 reviews, each with the fields below
reviews[].text	"Great sound for the price."	Review body
reviews[].title	"Solid earbuds"	Review headline
reviews[].rating	"5.0 out of 5 stars"	Star rating text
reviews[].date	"Reviewed in the United States on August 3, 2026"	Raw date string
reviews[].userName	"J. Carter"	Reviewer display name
reviews[].verifiedPurchase	true	Verified-purchase badge
reviews[].helpfulVotes	12	Helpful-vote count
reviews[].reviewId	"R1A2B3C4D5"	Review id
reviews[].url	"/gp/customer-reviews/R1A2B3C4D5"	Direct link to the review
reviews[].reviewCountry	"the United States"	Country parsed from the date line
reviews[].imageUrlList	["https://.../review-img.jpg"]	Reviewer-attached images
reviews[].variationList	["Color: Black"]	Variant the review was left against
reviews[].profilePath	"/gp/profile/amzn1.account...."	Reviewer profile link
reviewsAvailableOnPage	142	Total review nodes visible on the page (independent of the cap)
reviewsReturned	10	How many were actually included on this row

Status fields

Field	Example Value	Use Case
statusCode	200, 404, or 502	404 = page not found; 502 = page could not be read after retries
statusMessage	"FOUND", "PARTIAL", "NOT_FOUND", "UNAVAILABLE"	PARTIAL means the page rendered without the main title element

⚠️ On a failed product-page fetch, the row only carries statusCode, statusMessage, title (null), price (null), buyBoxPresent (false), priceSource ("unavailable") plus the identity/provenance fields above — the rest of the product fields (manufacturer, reviews, productDetails, images, etc.) are omitted from the row entirely, not returned as null. Filter on success to separate complete records from failed fetches.

💲 Pricing and availability signals

price, buyBoxPresent and priceSource are the fields worth trusting first: price is read only from the product's own buy-box scope, and when no buy-box renders the row reports price: null, buyBoxPresent: false, priceSource: "unavailable" rather than picking up a neighbouring number. A pricing analyst combines price, retailPrice and priceSaving to build a discount table across a category ranking, and warehouseAvailability plus soldBy/fulfilledBy to see whether the lowest price is Amazon-fulfilled or a third-party offer.

🎯 Targeting and filter fields

sourceList, listCategory and listRank are what you segment on after the fact — group rows by category, or slice the top 10 vs. the rest of a ranking. bestsellerRanks and categoriesExtended carry the product's own category placement, useful for cross-checking against the list it was collected from. On the input side, topRanksOnly, minCardRating and maxCardPrice narrow the ranked cards before any product page is fetched, so a filtered run doesn't spend a fetch on an item you were going to drop anyway.

🆚 How does this scraper differ from the official Amazon API?

Amazon's Product Advertising API (PA-API 5.0) has been retired and folded into the Creators API, Amazon's current official catalog API — confirmed on Amazon's own developer documentation, checked 2026-08-15. To use it at all, you must already be enrolled in the Amazon Associates program and have at least 10 qualifying sales in the trailing 30 days on that marketplace (source: Amazon Creators API eligibility docs, affiliate-program.amazon.com/creatorsapi/docs, checked 2026-08-15) — access can pause again if sales drop below that bar. This Actor needs neither.

Feature	Amazon Creators API (official)	This scraper
Access requirement	Approved Associates account + 10 qualifying sales in the trailing 30 days (checked 2026-08-15)	An Apify account; no Amazon account needed
Ranked bestseller / new-release list	No dedicated ranked-list browsing endpoint in the current docs; per-item sales rank only	Reads the public Best Sellers / New Releases / Most Wished For pages directly, rank included per item
Category → many products in one call	Per-item lookup and search, not list browsing	listTypes + categoryNodes expands a whole ranked list to products in one run
Review data	Not returned by the catalog endpoints	Up to 10 reviews embedded per product row
Filtering before collection	Not applicable	topRanksOnly, minCardRating, maxCardPrice qualify items before the detail fetch
Setup time	Program enrollment, approval, ongoing sales requirement	Add Actor input and run

Why does Amazon gate its own catalog API behind an Associates sales quota?

The Creators API restricts access to active Amazon affiliates with a live sales record, not to developers who simply want catalog data (checked on Amazon's own eligibility docs, 2026-08-15). That is workable for an affiliate site already driving Amazon sales, but it blocks anyone who wants a one-off or periodic ranked-list snapshot without first building an Associates sales history. This scraper reads the same list and product pages a shopper's browser would, so it has no sales-quota or approval step to satisfy.

Use the Creators API when you are already an approved Associate publishing affiliate links and want first-party sales-tracked links. Use this scraper when you need structured ranked-list and product data without an Associates account, or faster than a new affiliate account can qualify for API access.

💡 How to use data extracted from Amazon

🛒 Category managers and pricing analysts

Set listTypes: ["best-sellers"] with categoryNodes for the categories you track, maxProductsPerList to cap the pull, and minCardRating/maxCardPrice to focus on the segment that matters. The run returns listRank, price, retailPrice, manufacturer and bestsellerRanks for every qualifying item, ready to load into a spreadsheet or BI tool for a dated category snapshot.

🏢 Agencies tracking client and competitor rankings

Point the same list at a client's category on a schedule (Apify Schedules), and compare listRank and price run over run. listItemsFound vs. listItemsAdvertised on every row tells you how much of the ranking was actually readable that run, so a rank change isn't confused with a partial read.

📈 Market research and assortment analysis

Run Best Sellers and Most Wished For against the same category and compare what ranks in each — sourceList on every row tells you which list it came from. Combine manufacturer, price and attributeCount across a category to see brand concentration and spec density at the top of a ranking.

🤖 AI agents and automated pipelines

An agent framework can call this Actor as a tool, pass in a category or ASIN list, and read back structured price, productRating and productDetails fields to answer product-research questions without parsing HTML itself — no Amazon credentials required on the agent's side.

🔼 Input sample

Every field is optional — supply at least one ranked list (listUrls, or listTypes + categoryNodes) or one entry in asins.

Parameter	Required	Type	Description	Example Value
listUrls	No	array	Amazon Best Sellers, New Releases or Most Wished For list addresses.	["https://www.amazon.com/gp/bestsellers/electronics/"]
listTypes	No	array	One or more ranked-list families (best-sellers, new-releases, most-wished-for), combined with categoryNodes below.	["best-sellers", "new-releases"]
categoryNodes	No	array	Category slugs as they appear in a list address (electronics, kitchen, books) or numeric Amazon browse-node ids (172282, 11036491).	["electronics"]
listPagesToScan	No	integer (min 1, max 10)	How many ranked-list views to read per list. Each adds up to 30 further ranked positions. Default 1.	2
maxProductsPerList	No	integer (min 0)	Stop after this many qualifying products per list. 0 keeps every qualifying item. Default 3.	10
topRanksOnly	No	integer (min 0)	Ignore any item whose rank is higher than this number. 0 keeps every rank. Default 0.	20
minCardRating	No	string enum: "" (Any rating), "3.0", "3.5", "4.0", "4.2", "4.5", "4.7", "4.8"	Keep only items whose star rating on the ranked list clears this bar. Default "".	"4.5"
maxCardPrice	No	integer (min 0)	Keep only items priced at or below this amount on the ranked list, in the marketplace currency. 0 keeps every price. Default 0.	50
skipDuplicateAsins	No	boolean	When two lists rank the same product, collect it once. Every rank it held is still reported in listAppearances. Default true.	true
listOnly	No	boolean	Return the ranked cards (rank, title, price, rating, image) without collecting the full product record for each one. Default false.	false
asins	No	array	One or more product ASINs or product addresses. Each one becomes a product record.	["B07GBZ4Q68"]
marketplaceDomain	No	string enum (22 marketplaces, e.g. "amazon.com", "amazon.co.uk", "amazon.de" …)	The Amazon marketplace to read. Default "amazon.com".	"amazon.com"
amazonDomain	No	string	Legacy key for the same setting as marketplaceDomain; a value here other than "amazon.com" takes precedence. Default "amazon.com".	"amazon.com"
pageLanguage	No	string enum: "" (Marketplace default), "en-US", "en-GB", "de-DE", "fr-FR", "es-ES", "it-IT", "ja-JP", "zh-CN", "nl-NL", "pt-BR", "sv-SE", "pl-PL", "tr-TR", "ar-AE"	Request localized content. Empty uses the marketplace default.	"en-US"
language	No	string enum: "", "en-US", "en-GB", "de-DE", "fr-FR", "es-ES", "it-IT", "ja-JP", "zh-CN"	Legacy key for the same setting as pageLanguage; a value here takes precedence. Default "".	""
exitCountry	No	string enum (23 values incl. "AUTO", e.g. "US", "GB", "DE" …)	Read the marketplace as a shopper in this country. Prefill "US".	"US"
proxyCountry	No	string enum: "AUTO", "US", "GB", "DE", "FR", "ES", "IT", "CA", "AU", "JP"	Legacy key for the same setting as exitCountry; a value other than "AUTO" takes precedence. Default "AUTO".	"AUTO"
proxyConfiguration	No	object	Network settings for the run. Default {"useApifyProxy": true} is recommended so the marketplace region stays consistent with the country above.	{"useApifyProxy": true}

{
  "listTypes": ["best-sellers", "new-releases"],
  "categoryNodes": ["electronics"],
  "listPagesToScan": 1,
  "maxProductsPerList": 10,
  "minCardRating": "4.5",
  "skipDuplicateAsins": true,
  "marketplaceDomain": "amazon.com",
  "exitCountry": "US",
  "proxyConfiguration": { "useApifyProxy": true }
}

⚠️ Common pitfall: listUrls only accepts addresses that match a supported ranked-list pattern (/gp/bestsellers, /zgbs, /gp/new-releases, /gp/most-wished-for). Paste a category browse page or a product page in there by mistake, and it is silently skipped with a log warning — not a hard input error — so a run can finish with fewer results than expected without failing.

🔽 Output sample

One row per product by default; one row per ranked card when listOnly is true. Results are structured JSON, downloadable as JSON, CSV or Excel from the run's dataset, or read row-by-row through the Apify API.

Default mode — type: "product"

{
  "sourceList": "best-sellers",
  "listRank": 7,
  "listRankBadge": 7,
  "listCategory": "Electronics",
  "listPage": 1,
  "listUrl": "https://www.amazon.com/gp/bestsellers/electronics/",
  "listItemsFound": 28,
  "listItemsAdvertised": 50,
  "listAppearances": [
    { "sourceList": "best-sellers", "listRank": 7, "listCategory": "Electronics", "listPage": 1, "listUrl": "https://www.amazon.com/gp/bestsellers/electronics/" }
  ],
  "cardTitle": "Wireless Earbuds, Bluetooth 5.3, 40H Playtime",
  "cardPrice": 29.99,
  "cardRating": 4.6,
  "cardReviewCount": 18342,
  "cardImageUrl": "https://m.media-amazon.com/images/I/example._AC_UL320_.jpg",
  "statusCode": 200,
  "statusMessage": "FOUND",
  "url": "https://www.amazon.com/dp/B07GBZ4Q68",
  "asin": "B07GBZ4Q68",
  "title": "Wireless Earbuds, Bluetooth 5.3, 40H Playtime, IPX7 Waterproof",
  "manufacturer": "SoundCore",
  "productRating": "4.6 out of 5 stars",
  "countReview": 18342,
  "price": 27.99,
  "buyBoxPresent": true,
  "priceSource": "buy-box",
  "retailPrice": 39.99,
  "priceSaving": 12.00,
  "soldBy": "Anker Direct",
  "sellerId": "A1B2C3D4E5",
  "fulfilledBy": "Amazon.com",
  "warehouseAvailability": "In Stock.",
  "priceShippingInformation": "FREE delivery Tue, Aug 19",
  "deliveryMessage": "FREE delivery Tue, Aug 19",
  "bestsellerRanks": [{ "rank": 3, "category": "Earbud Headphones" }],
  "features": ["Bluetooth 5.3 with a stable, low-latency connection", "40 hours total playtime with the charging case"],
  "aboutProduct": [{ "name": "Brand", "value": "SoundCore" }],
  "productDescription": "Experience crystal-clear sound with SoundCore's latest earbuds...",
  "productDetails": [{ "name": "Item model number", "value": "A3939011" }],
  "productSpecification": [{ "name": "Item model number", "value": "A3939011" }],
  "attributeCount": 24,
  "categoriesExtended": [{ "name": "Electronics", "url": "https://www.amazon.com/Best-Sellers-Electronics/zgbs/electronics", "node": "172282" }],
  "imageUrlList": ["https://m.media-amazon.com/images/I/example._AC_SL1500_.jpg"],
  "mainImage": { "imageUrl": "https://m.media-amazon.com/images/I/example._AC_SL1500_.jpg", "imageWidth": 1500, "imageHeight": 1500, "imageResolution": "1500 x 1500" },
  "videoeUrlList": [],
  "variations": [{ "asin": "B07GBZ4Q69", "labels": ["Black"], "dimensions": ["Color"], "dpUrl": "/dp/B07GBZ4Q69" }],
  "bookVariations": [],
  "reviews": [
    {
      "text": "Great sound for the price.",
      "date": "Reviewed in the United States on August 3, 2026",
      "rating": "5.0 out of 5 stars",
      "title": "Solid earbuds",
      "userName": "J. Carter",
      "url": "/gp/customer-reviews/R1A2B3C4D5",
      "imageUrlList": [],
      "variationList": ["Color: Black"],
      "reviewId": "R1A2B3C4D5",
      "reviewCountry": "the United States",
      "verifiedPurchase": true,
      "helpfulVotes": 12,
      "profilePath": "/gp/profile/amzn1.account.example"
    }
  ],
  "reviewsAvailableOnPage": 142,
  "reviewsReturned": 10,
  "importantInformation": [],
  "pastSales": "1K+ bought in past month",
  "type": "product",
  "isChild": false,
  "amazonDomain": "amazon.com",
  "language": null,
  "proxyCountry": "US",
  "scrapedAt": "2026-08-15T10:04:22Z",
  "success": true
}

Ranked-cards-only mode — listOnly: true, type: "list_item"

{
  "sourceList": "best-sellers",
  "listRank": 7,
  "listRankBadge": 7,
  "listCategory": "Electronics",
  "listPage": 1,
  "listUrl": "https://www.amazon.com/gp/bestsellers/electronics/",
  "listItemsFound": 28,
  "listItemsAdvertised": 50,
  "listAppearances": [],
  "cardTitle": "Wireless Earbuds, Bluetooth 5.3, 40H Playtime",
  "cardPrice": 29.99,
  "cardRating": 4.6,
  "cardReviewCount": 18342,
  "cardImageUrl": "https://m.media-amazon.com/images/I/example._AC_UL320_.jpg",
  "type": "list_item",
  "isChild": false,
  "asin": "B07GBZ4Q68",
  "url": "https://www.amazon.com/dp/B07GBZ4Q68",
  "title": "Wireless Earbuds, Bluetooth 5.3, 40H Playtime",
  "amazonDomain": "amazon.com",
  "language": null,
  "proxyCountry": "US",
  "scrapedAt": "2026-08-15T10:04:22Z",
  "success": true
}

🎯 How do you filter and target specific products?

This Actor is built for precision before collection: the ranked-list card already carries rank, title, price and rating, so unwanted items are dropped before a product page is ever fetched.

1. List address vs. list-type + category. Paste listUrls directly when you already have the exact list address, including any page you want to start from. Use listTypes + categoryNodes when you want the Actor to build the address — this also lets you fan out one run across several categories or several list families at once.
2. Scope depth. listPagesToScan (1–10) controls how many ranked-list views are read per list; each view adds up to 30 further ranked positions. topRanksOnly then trims the result to the leaders you actually want, regardless of how deep you scanned.
3. Quality thresholds. minCardRating drops items below a star-rating bar (items with no rating are dropped once a bar is set); maxCardPrice drops items above a price ceiling, both read from the ranked-list card, not the product page.
4. Volume control. maxProductsPerList caps how many qualifying items are kept per list, and skipDuplicateAsins collapses a product that ranks on more than one list into a single row (with every rank it held preserved in listAppearances).

{ "listTypes": ["best-sellers"], "categoryNodes": ["electronics"], "topRanksOnly": 10 }

{ "listUrls": ["https://www.amazon.com/gp/new-releases/kitchen/"], "minCardRating": "4.5", "maxCardPrice": 40 }

{ "listTypes": ["best-sellers", "most-wished-for"], "categoryNodes": ["electronics"], "skipDuplicateAsins": true, "maxProductsPerList": 15 }

🔗 Want to try other Amazon scrapers?

Scraper	What it extracts
Amazon Search Scraper By Country & Currency	Amazon search results across marketplaces, priced in local currency
Amazon Price Tracker — Title, Image & Product Updates	Price, title and image change tracking for a fixed list of ASINs
Amazon DE Sellers Leads Scraper — Product Price & Ratings	Seller and product-price leads on the amazon.de marketplace
eBay Product Listing Scraper With Sold Price Data	eBay listings with sold-price history
Walmart Reviews Scraper With Seller & Variant Details	Walmart product reviews with seller and variant detail
Shopify Products Scraper With Variant & SKU Rows	Shopify storefront catalogues, one row per variant/SKU

💻 How to extract Amazon data programmatically

This Actor runs as a standard Apify Actor: one API call starts the run, and structured JSON comes back from the dataset — no scraping code of your own to maintain.

Python example

from apify_client import ApifyClient

client = ApifyClient("<APIFY_API_TOKEN>")

run = client.actor("<your-username>/amazon-product-details-scraper-bestsellers-and-new-releases").call(
    run_input={
        "listTypes": ["best-sellers"],
        "categoryNodes": ["electronics"],
        "minCardRating": "4.5",
        "maxProductsPerList": 20,
        "marketplaceDomain": "amazon.com",
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["asin"], item["title"], item["price"])

Export to spreadsheets or CRM

From the Apify Console, export a run's dataset as CSV or Excel and map columns directly: asin → SKU, title → Product Name, manufacturer → Brand, price → Price, productRating → Rating, listRank → Rank. Import the file into Sheets, Excel, or your CRM's bulk-import tool.

⚖️ Is it legal to scrape Amazon?

Scraping publicly visible Amazon product and ranked-list pages — the kind of data any shopper's browser can already load — is generally lawful; Best Sellers, New Releases and product pages are published precisely to be browsed and compared. This is business and catalogue data (prices, ranks, product attributes), so database-rights and Amazon's own Conditions of Use are the relevant framing, not GDPR, which governs personal data rather than product listings.

One caveat: the embedded reviews array carries reviewer display names (reviews[].userName) and profile links (reviews[].profilePath) — public review-author handles, which are a form of personal data if stored and processed in bulk. Consult legal counsel for commercial applications involving bulk storage of personal data.

❓ FAQ

How does the scraper handle a delisted or out-of-stock product?

There is no dedicated "delisted" flag. A removed ASIN typically returns statusCode: 404 and statusMessage: "NOT_FOUND"; an in-stock-page-but-no-current-offer product returns buyBoxPresent: false and priceSource: "unavailable" instead of a stale price. Check warehouseAvailability for the marketplace's own availability text on a live page.

Can I get reviews along with the product records?

Yes — every type: "product" row carries an embedded reviews array, capped at 10 reviews per product (this cap is fixed in the code, not an input parameter). reviewsAvailableOnPage reports how many review nodes were actually visible on the page, and reviewsReturned reports how many made it onto the row (at most 10).

How accurate is the price and availability data?

The Actor returns whatever the buy box shows at request time — price is read only from the product's own buy-box scope, never substituted from a neighbouring item. When no buy box renders, the row reports price: null, buyBoxPresent: false, priceSource: "unavailable" rather than a guessed number. Because Amazon prices change continuously, treat any pull as a dated snapshot and re-run for current pricing.

How many records can I get per run?

There is no single total-records cap. Volume is a function of how many lists/categories you supply, listPagesToScan (capped at 1–10 views per list, each adding up to 30 further ranked positions), and maxProductsPerList (0 = keep every qualifying item on that list).

How do the pre-collection filters work?

topRanksOnly, minCardRating and maxCardPrice are evaluated against the ranked-list card before any product page is fetched — so a run that only wants the top 10, above 4.5 stars, under $50, never spends a product-page fetch on an item outside those bounds.

Does this scraper work with Claude, ChatGPT, and AI agent frameworks?

There is no separate MCP server for this Actor. It is callable as a standard Apify API endpoint from any agent framework or HTTP client — including Claude, ChatGPT, or a custom LangChain/LlamaIndex tool — using the Apify API or apify-client SDK shown above.

What should I check when comparing Amazon bestseller/product scrapers?

Compare on the fields actually returned per row (does it join list rank to a full product record, or just the tile?), whether price is scoped to the buy box or estimated, and whether reviews are included. This README documents every field this Actor pushes, from its own source code, so you can compare line by line against another listing's stated output.

Can I use this scraper without an Amazon developer account or Associates membership?

Yes. The Actor needs only an Apify account to run — it reads Amazon's public list and product pages the way a browser would, with no Amazon login, API key, or Associates enrollment involved.

✅ Conclusion

Amazon Product Details Scraper (Bestsellers & New Releases) turns a Best Sellers, New Releases or Most Wished For list into structured, per-product JSON — rank, price, brand, attributes, and up to 10 reviews per item — without an Amazon Associates account or API approval. Category managers, pricing analysts and agencies use it for dated ranking snapshots; AI agents call it as a plain Apify tool. Add a list or category in the input above and run it from the Apify Console or the API.