Amazon Asin Scraper

Amazon ASIN Scraper — Extract Products, Variants and Bestseller Ranks

Paste a list of Amazon ASINs and Amazon ASIN Scraper Pay Per Events returns one structured product record per ASIN — buy-box price, list price, stock state, star rating with the full 5★→1★ histogram, Best Sellers Rank per category, images, A+ content, brand story, sibling variant ASINs and the full product attributes table, across 20 Amazon storefronts in each storefront's own currency. Unlike scraping frameworks that return raw HTML, it returns typed JSON — ready for your model, your database or your pipeline without any parsing step. This guide documents every input and output field and how teams deploy it for price monitoring, catalogue enrichment and bestseller tracking.

Review text is not included. Amazon serves no review bodies to logged-out requests — on the product page or on /product-reviews/. reviewsCount, stars and starsBreakdown are returned; review sentences are not. This is stated up front because it is the one gap worth knowing before you build a review-mining workflow on top of this Actor.

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🧭 What Does Amazon ASIN Scraper Pay Per Events Do?

Amazon ASIN Scraper Pay Per Events is an Apify Actor that turns a list of Amazon ASINs into structured product data. An ASIN (Amazon Standard Identification Number) is the 10-character code every Amazon listing carries in its URL after /dp/; give the Actor a batch of them and it fetches each product page directly, parses Amazon's markup and inline JSON, and returns one dataset row per ASIN. No Amazon account, login or API key is required — every field comes from the public, logged-out product page.

What it returns, per ASIN:

• 💰 Buy-box price and list price, scoped to the listing's own price containers — never a neighbouring product's price
• ⭐ Star rating plus the full 5★→1★ rating histogram (starsBreakdown) as fractions
• 🏅 Best Sellers Rank per category, with the browse-node id and a link to that rank chart (bestsellerRanks)
• 📦 Stock state, condition, delivery estimate and buy-box seller identity
• 🖼️ Thumbnail, gallery and high-resolution image URLs, plus a video count
• 🎨 A+ content modules and brand story cards (aPlusContent, brandStory)
• 🔀 Sibling variant ASINs with their labels and thumbnails (variantAsins, variantDetails)

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Features & Capabilities

The Actor's capabilities split into three groups: what it extracts per product, how that compares with other Amazon ASIN scrapers on the Apify Store, and where it fits alongside other Scrapio Amazon Actors.

Core features

• 47-field product record per ASIN — pricing, ratings, ranking, media, content and fulfilment data in one row, documented in full below
• Listing-scoped price extraction — price and listPrice are read only from containers that provably belong to the listing being scraped (#corePriceDisplay_desktop_feature_div, #buybox, #kindle-price, and similar). There is no document-wide fallback, so a listing with no buy box of its own returns price: null instead of a neighbouring "customers also viewed" product's price
• Storefront-matched locale — each amazonDomain is sent its own lc-main cookie and Accept-Language header, so amazon.de returns euros and amazon.co.jp returns yen instead of Amazon's own USD conversion
• Full rating histogram — starsBreakdown gives all five buckets (5star … 1star) as fractions, read from Amazon's current React-rendered histogram markup, not just the aggregate stars figure
• Rich content fields — aPlusContent (modules, images, video, hotspots) and brandStory (carousel cards) are parsed as structured objects, not left as raw HTML
• Honest nulls — a field Amazon does not render for a given listing is null; a field Amazon no longer serves on any listing (on-page review text, Q&A counts, buy-box offer list, price-range widget, AI review summary) has been removed from the schema entirely rather than shipped as a permanently empty column
• Uncharged failures — an ASIN that fails to fetch still produces a dataset row ({"asin": ..., "error": "fetch_failed"}) so you can see which inputs did not come back, and that row is not billed

How Amazon ASIN Scraper Pay Per Events compares to other Amazon scrapers

Checked on the Apify Store on 26 July 2026:

Feature	This Actor	junglee/amazon-asins-scraper	jaybird/amazon-product-data-scraper
Output format	Typed JSON, CSV, Excel	JSON, XML, CSV, Excel, HTML	JSON, CSV, Excel
Input	ASIN list	ASIN	Product URL list (up to 100/run)
Rating histogram field	✅ starsBreakdown, 5 buckets	❌ not listed	❌ not listed
A+ content / brand story	✅ aPlusContent, brandStory	❌ not listed	❌ not listed
Storefronts	20, locale-matched	Not documented	Any Amazon domain, currency not documented
Pricing model	Pay per event	$40/month rental + platform usage	Pay per event, $1 / 1,000 products
Failed items billed	No	Not documented	No
Reachable via Apify MCP	✅	✅ (documented MCP tab)	Not documented

If your use case is feeding structured data to an LLM, the output-format row is the decision-maker — HTML parsing inside an agent loop is a reliability failure mode, not a feature. junglee's own JSON sample shows a flattened price.value key rather than a nested object, which is worth checking against your parser if you compare the two.

When another tool might suit you better

If you need actual review body text, jaybird/amazon-product-data-scraper's listing advertises a topReviews field (title, rating, body, author, date) — this Actor does not attempt that extraction because Amazon does not serve review bodies to logged-out requests, and a workaround that requires login is outside its scope. If you need cross-run Best Sellers Rank time-series tracking, rank-change webhooks or built-in AI competitive analysis, harvestlab/amazon-scraper's listing documents exactly that as a dedicated feature set (trackBestsellerRank, alertWebhookUrl, five LLM providers); this Actor takes one snapshot per run and leaves diffing across runs to you (see the Strategy Guide below for the pattern).

Amazon ASIN Scraper Pay Per Events within the Scrapio data stack

Amazon ASIN Scraper Pay Per Events covers individual product lookups by ASIN. For keyword- or URL-based product discovery, use Amazon Search Products Scraper. For deal and discount hunting, use Amazon Today's Deals Scraper By Discount, Price & Category. For ongoing buy-box, seller and MAP monitoring on a fixed ASIN list, use Amazon Buy Box, Seller & MAP Monitor — a narrower, faster companion to the full product record this Actor returns.

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Why do developers and data teams scrape Amazon?

Sellers and repricers

Third-party sellers and brand owners pull price, listPrice, inStock and seller for their own and competitors' ASINs on a schedule, and react when price drops below a floor or inStock flips to false. bestsellerRanks adds category-rank context so a price change can be read alongside demand rather than in isolation.

AI training data and RAG indexing

description, features, attributes and productOverview are the fields carrying the most descriptive text per product and chunk cleanly for a vector store — a product-catalogue RAG index answering "what does this listing say about X" draws directly from them. For training data, price, stars, starsBreakdown and bestsellerRanks are the most structurally consistent numeric fields across records, useful for demand or pricing models. Every field returns as a typed primitive, object or array — no HTML to strip before indexing.

Competitive and market intelligence

Track a competitor's bestsellerRanks[].rank per category and price over repeated runs to see whether a rank move follows a price cut or a stock-out. isAmazonChoice and amazonChoiceText flag badge changes worth watching on contested categories.

Research and academic use

Public product-catalogue data — pricing distributions, rating histograms, category structure via breadCrumbs — supports market-structure and consumer-behaviour research. Scope stays to what Amazon renders publicly; no account or login is used to reach any field.

Product and SaaS development

attributes, productOverview, images and bestsellerRanks are the raw material for a catalogue-enrichment API, a price-comparison tool, or a monitoring dashboard built on top of Apify's scheduled runs and dataset API rather than your own scraping infrastructure.

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🍚 Input Parameters

All six input fields, exactly as defined in .actor/actor.json. Only asins is required.

Parameter	Required	Type	Default / constraints	Description
asins	Yes	array of strings	— (editor: stringList)	Amazon ASINs to scrape, 10 alphanumeric characters each (e.g. B07GBZ4Q68). Bulk paste is supported — ASINs run concurrently. Prefill: ["B07GBZ4Q68", "B0CJ4V4TRP", "B07KQWR72Z"]
amazonDomain	No	string	"amazon.com"	Storefront to scrape. The Actor sends that storefront's own locale cookie and Accept-Language, so prices come back in the local currency
language	No	string (enum)	"en"	Optional display language, sent as ?language=…. Does not change the currency — the marketplace does. Options: "" (Auto), en, en_US, en_GB, de, fr, es, it, nl, pl, pt, pt_BR, sv, tr, cs, da, ja, zh_CN, zh_TW, hi
proxyCountry	No	string (enum)	"AUTO_SELECT_PROXY_COUNTRY"	Proxy exit country. Auto select matches the exit to the marketplace; a country that contradicts the marketplace is overridden back to the marketplace's own country and the override is logged. Options: AUTO_SELECT_PROXY_COUNTRY, US, GB, DE, FR, ES, IT, CA, AU, JP, IN, BR, MX, NL, PL, TR, SE, AE
zipCode	No	string	""	Destination ZIP/postal code (e.g. 10001, SW1A 1AA) so price and delivery reflect that address. The Actor primes Amazon's delivery cookie before scraping; not every storefront accepts every format
proxyConfiguration	No	object (editor: proxy)	Prefill: {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}	Full proxy override — Apify proxy groups or your own URLs. Most runs can leave this empty

There are no credential or API-key parameters in this schema — nothing here is marked isSecret, and none is needed.

Example input

{
  "asins": ["B07GBZ4Q68", "B0CJ4V4TRP", "B07KQWR72Z"],
  "amazonDomain": "amazon.com",
  "language": "en",
  "proxyCountry": "AUTO_SELECT_PROXY_COUNTRY",
  "zipCode": "10001",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Supported storefronts and ASIN format

An ASIN must match [A-Za-z0-9]{10} — anything else is skipped with a warning in the run log rather than sent to Amazon. Duplicate ASINs in the same input are de-duplicated automatically.

Twenty storefronts are known to the Actor, each with its own currency, locale cookie and Accept-Language: amazon.com 🇺🇸 · amazon.co.uk 🇬🇧 · amazon.de 🇩🇪 · amazon.fr 🇫🇷 · amazon.it 🇮🇹 · amazon.es 🇪🇸 · amazon.nl 🇳🇱 · amazon.ie 🇮🇪 · amazon.se 🇸🇪 · amazon.pl 🇵🇱 · amazon.ca 🇨🇦 · amazon.com.mx 🇲🇽 · amazon.com.br 🇧🇷 · amazon.co.jp 🇯🇵 · amazon.in 🇮🇳 · amazon.com.au 🇦🇺 · amazon.sg 🇸🇬 · amazon.com.tr 🇹🇷 · amazon.ae 🇦🇪 · amazon.sa 🇸🇦. A domain outside this list still runs (the URL is built from whatever you enter), but it receives no locale cookie, so Amazon serves its own default currency for that request rather than a guessed one.

Three example inputs covering different use cases:

{ "asins": ["B0CJ4V4TRP"], "amazonDomain": "amazon.com", "zipCode": "10001" }

{ "asins": ["B07GBZ4Q68"], "amazonDomain": "amazon.de", "language": "de", "proxyCountry": "DE" }

{ "asins": ["B07GBZ4Q68", "B0CJ4V4TRP", "B07KQWR72Z", "B0BSHF7WHW"], "amazonDomain": "amazon.co.uk" }

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📦 Output Format

One dataset row per ASIN, always the same 47 keys — a field Amazon does not render for a given listing is null rather than omitted. The same keyed-by-ASIN dictionary is additionally written to the run's default key-value store under the OUTPUT key, for a single-file output.json-style export alongside the dataset.

Output for a product

{
  "title": "Logitech G502 HERO High Performance Wired Gaming Mouse",
  "url": "https://www.amazon.com/gp/product/B07GBZ4Q68?smid=",
  "asin": "B07GBZ4Q68",
  "originalAsin": "B07GBZ4Q68",
  "price": { "value": 37.99, "currency": "$" },
  "inStock": true,
  "inStockText": "In Stock",
  "listPrice": { "value": 69.99, "currency": "$" },
  "brand": "Logitech G",
  "author": null,
  "shippingPrice": null,
  "stars": 4.6,
  "starsBreakdown": { "5star": 0.81, "4star": 0.11, "3star": 0.04, "2star": 0.01, "1star": 0.03 },
  "reviewsCount": 58383,
  "breadCrumbs": "Video Games > PC > Accessories > Gaming Mice",
  "videosCount": 2,
  "visitStoreLink": "https://www.amazon.com/stores/Logitech/page/...",
  "thumbnailImage": "https://m.media-amazon.com/images/I/61mpMH5TzkL._AC_SX679_.jpg",
  "galleryThumbnails": ["https://m.media-amazon.com/images/I/61mpMH5TzkL._SS40_.jpg"],
  "highResolutionImages": ["https://m.media-amazon.com/images/I/61mpMH5TzkL._AC_SL1500_.jpg"],
  "importantInformation": null,
  "sustainabilityFeatures": null,
  "description": "Logitech updated its iconic G502 gaming mouse to deliver even higher performance...",
  "features": ["HERO 25K sensor for accuracy and consistency", "11 programmable buttons", "Adjustable weight system"],
  "attributes": [{ "key": "Item model number", "value": "910-005469" }, { "key": "Date First Available", "value": "May 10, 2018" }],
  "productOverview": [{ "key": "Brand", "value": "Logitech G" }, { "key": "Connectivity Technology", "value": "Wired" }],
  "variantAsins": ["B07GBZ4Q68", "B07GBGY6HN"],
  "variantDetails": [{ "name": "Black", "thumbnail": "https://m.media-amazon.com/images/I/...", "images": ["https://m.media-amazon.com/images/I/..."], "asin": "B07GBZ4Q68", "price": { "value": 37.99, "currency": null } }],
  "reviewsLink": "https://www.amazon.com/product-reviews/B07GBZ4Q68",
  "hasReviews": true,
  "delivery": "FREE delivery Tomorrow",
  "fastestDelivery": "Get it as soon as tomorrow",
  "condition": "New",
  "returnPolicy": "This item can be returned in its original condition for a full refund within 30 days of receipt.",
  "seller": { "name": "Amazon.com", "id": null, "url": "https://www.amazon.com", "reviewsCount": null, "averageRating": null },
  "bestsellerRanks": [
    { "rank": 17, "category": "Video Games", "categoryNodeId": null, "url": "https://www.amazon.com/gp/bestsellers/videogames/ref=pd_zg_ts_videogames" },
    { "rank": 3, "category": "PC Gaming Mice", "categoryNodeId": "402052011", "url": "https://www.amazon.com/gp/bestsellers/videogames/402052011/ref=pd_zg_hrsr_videogames" }
  ],
  "isAmazonChoice": true,
  "amazonChoiceText": "Amazon's Choice for \"gaming mouse\"",
  "aPlusContent": { "title": "From the manufacturer", "rawText": "Engineered for esports...", "rawImages": [{ "name": "Hero image", "url": "https://m.media-amazon.com/images/S/..." }], "rawVideos": [], "modules": [{ "type": "premium-module-1-hero-image", "title": "hero-image", "text": null, "image": { "name": "", "url": "https://m.media-amazon.com/images/S/..." } }] },
  "brandStory": { "title": "Logitech G", "image": { "name": "", "url": "https://m.media-amazon.com/images/S/..." }, "items": [{ "title": "Our story", "text": "Founded in 1981...", "url": "https://www.amazon.com/stores/...", "image": { "name": "", "url": "https://m.media-amazon.com/images/S/..." }, "items": [] }] },
  "monthlyPurchaseVolume": "10K+ bought in past month",
  "locationText": "Deliver to New York 10001",
  "loadedCountryCode": "US",
  "unNormalizedProductUrl": "https://www.amazon.com/dp/B07GBZ4Q68",
  "shipsFrom": "Amazon.com",
  "position": 1,
  "input": "https://www.amazon.com/dp/B07GBZ4Q68"
}

An ASIN that fails to fetch, or fails to parse, produces a shorter error row instead — {"asin": "B0XXXXXXXX", "error": "fetch_failed"} or {"asin": "B0XXXXXXXX", "error": "parse_error: <message>"}. Filter these out downstream with "error" not in row, or keep them — they are pushed to the same dataset for visibility, but neither is billed.

Schema stability and export options

Field names are stable across runs and do not change when Amazon updates its front end — the fields this Actor's own source notes as no longer rendered by Amazon at all (raw review bodies, Q&A counts, the buy-box offer list, the price-range widget, the AI review-insights summary, manufacturer support copy) have been removed from the schema rather than kept as permanently-null columns, so every key you see is one that can genuinely carry a value.

Export the dataset as JSON, CSV, Excel (XLSX), XML or HTML directly from the Apify Console Storage tab, or pull it programmatically through the Apify API / apify-client SDKs. The keyed-by-ASIN OUTPUT record in the run's key-value store is a convenience export for callers who want a single {asin: record} object instead of an array of rows.

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Amazon ASIN Scraper Pay Per Events Strategy Guide

Three ways teams actually run this Actor in production, using its real inputs and outputs — not a generic pitch.

🎯 Strategy 1: Real-time enrichment pipeline

When a new SKU or competitor ASIN enters your system — a procurement form, an inbound webhook, a manually curated list — trigger a run with that single ASIN via the Apify API. Read back price, listPrice, inStock, stars, bestsellerRanks and attributes from the resulting dataset row, and write them onto your own product or watchlist record. Because failed fetches are pushed as uncharged error rows rather than silently dropped, your enrichment job can log exactly which ASINs need a retry instead of guessing.

🎯 Strategy 2: Scheduled monitoring and alerting

Create an Apify Schedule that runs this Actor daily or hourly against a fixed asins watchlist. The Actor itself takes one snapshot per run — it does not diff against the previous run — so store each run's price, inStock and bestsellerRanks[].rank values (the dataset or the OUTPUT key-value record both work) and compare them to yesterday's values in your own script or workflow tool. Fire an alert — Slack, email, a Zapier/Make step — only when the delta crosses your threshold: a price drop, inStock flipping to false, or a rank move past a category position you care about.

🎯 Strategy 3: Bulk dataset build

Paste hundreds or thousands of ASINs into asins for a research or training dataset. Requests within a single run fan out at a fixed internal concurrency of 5 — this is not an exposed input parameter, so it cannot be raised from the Console. For a larger catalogue, split your ASIN list across multiple runs (or launch several runs in parallel via the API) rather than expecting one run to scale its own concurrency. Aggregate the resulting datasets to CSV or a database once every run finishes.

Strategy comparison at a glance

Strategy	Best for	Run pattern	Output format
Real-time enrichment	A single new ASIN appearing in your system	On-demand API call, one small run	JSON row via API or dataset
Scheduled monitoring	A fixed watchlist tracked over time	Apify Schedule, recurring run	Dataset row per run, diffed externally
Bulk dataset build	A large one-off catalogue or training set	One or more runs, large asins lists	CSV/JSON export from the dataset

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🌴 Related Amazon Scrapers & Tools

Scraper name	What it extracts
Amazon Search Products Scraper	Product results from an Amazon keyword or search-URL, for discovering ASINs to feed into this Actor
Amazon Today's Deals Scraper By Discount, Price & Category	Today's Deals listings filtered by discount, price and category
Amazon Buy Box, Seller & MAP Monitor	Ongoing buy-box, seller and MAP monitoring on a fixed ASIN list

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How to integrate Amazon ASIN Scraper Pay Per Events with your stack

Amazon ASIN Scraper Pay Per Events works with any language or tool that can make an HTTP request — it runs on Apify, so integration goes through the Apify API and its SDKs rather than a bespoke endpoint.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")

run = client.actor("<YOUR_USERNAME>/amazon-asin-scraper-pay-per-events").call(run_input={
    "asins": ["B07GBZ4Q68", "B0CJ4V4TRP", "B07KQWR72Z"],
    "amazonDomain": "amazon.com",
    "zipCode": "10001",
})

rows = []
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    if "error" in item:
        print("failed:", item["asin"], item["error"])
        continue
    rows.append(item)

import csv
with open("amazon_products.csv", "w", newline="", encoding="utf-8") as f:
    writer = csv.DictWriter(f, fieldnames=["asin", "title", "price", "listPrice", "stars", "inStock"])
    writer.writeheader()
    for r in rows:
        writer.writerow({
            "asin": r["asin"], "title": r["title"],
            "price": (r["price"] or {}).get("value"),
            "listPrice": (r["listPrice"] or {}).get("value"),
            "stars": r["stars"], "inStock": r["inStock"],
        })

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });

const run = await client.actor('<YOUR_USERNAME>/amazon-asin-scraper-pay-per-events').call({
    asins: ['B07GBZ4Q68', 'B0CJ4V4TRP', 'B07KQWR72Z'],
    amazonDomain: 'amazon.com',
    zipCode: '10001',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
for (const item of items) {
    if (item.error) {
        console.log('failed:', item.asin, item.error);
        continue;
    }
    console.log(item.asin, item.title, item.price?.value, item.inStock);
}

MCP for AI agents

This Actor is reachable through Apify's hosted MCP server, which exposes any public Apify Actor as a callable tool:

https://mcp.apify.com?tools=<YOUR_USERNAME>/amazon-asin-scraper-pay-per-events

Point an MCP-compatible client — Claude Desktop, Cursor, or a custom agent built on the MCP spec — at that URL, and the agent can call this Actor mid-task with a list of ASINs and get typed JSON back, without leaving its own conversation loop.

Async and scheduled pipelines

For large ASIN batches, start the run through the API and poll client.run(run_id).get() for status rather than blocking on .call(), or use Apify's webhook feature to get notified when a run finishes instead of polling. For recurring jobs, create an Apify Schedule against a saved input (see Strategy 2 above) rather than triggering runs from your own cron.

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🎯 Who Needs Amazon ASIN Scraper Pay Per Events? (Use Cases & Industries)

Sellers and repricers

A third-party seller tracks their own and competitors' ASINs daily, watching price, inStock and bestsellerRanks[].rank to catch undercutting or a stock-out before it costs a Buy Box.

AI training data and RAG indexing

An AI engineer indexes description, features and attributes into a vector store so a shopping-assistant agent can answer product questions from live catalogue text instead of a stale scrape held in the model's own training data.

Competitive and market intelligence

A market analyst pulls price, starsBreakdown and bestsellerRanks across a competitor's product line to build a category price-and-demand map, refreshed on whatever cadence the analysis needs.

Researchers

An academic or market researcher builds a public-data sample of pricing and rating distributions across a category using price, stars, reviewsCount and breadCrumbs — no account or login is used to reach any of it, and the data collected is limited to what Amazon renders on the public product page.

Product and SaaS development

A developer building a catalogue-enrichment or price-comparison product runs this Actor on a schedule and stores attributes, productOverview and image URLs as the backing data for their own API, without maintaining their own Amazon-facing scraper.

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Is it legal to scrape Amazon?

Scraping publicly accessible web pages is broadly permitted under U.S. law — in hiQ Labs, Inc. v. LinkedIn Corp., 938 F.3d 985 (9th Cir. 2019), the Ninth Circuit held that scraping data not gated behind a login does not violate the Computer Fraud and Abuse Act. That precedent concerns access, not Amazon's own contract terms.

Separately, Amazon's Conditions of Use restrict automated access to its site; violating them is a potential contract dispute between you and Amazon, not a criminal matter, and the consequences run from a blocked IP to account action rather than prosecution.

This Actor returns product catalogue data — prices, ratings, ranks, descriptions, images — not personal data about identifiable individuals, so GDPR and CCPA's personal-data obligations do not attach to its output in the way they would for a scraper of user profiles or reviewer identities. Amazon ASIN Scraper Pay Per Events returns only publicly accessible data. What you do with that data is your responsibility — consult legal counsel for commercial applications, and before building a competing catalogue product on top of the results.

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❓ Frequently asked questions

Does Amazon ASIN Scraper Pay Per Events work without an Amazon account?

Yes. No Amazon account, login, cookie or API key is required — every field is read from the public, logged-out product page.

How does it handle Amazon's anti-scraping measures?

Each request carries a randomised desktop User-Agent, storefront-matched cookies and headers, and runs through Apify Proxy (Residential is auto-selected by default). A response under roughly 120 KB with no productTitle element, or one carrying a CAPTCHA / "robot check" marker, is treated as a blocked page and retried with a fresh proxy session rather than returned as data. If zipCode is set, a short cookie-priming sequence runs first so the returned page reflects that delivery address.

Can I run it at scale without getting blocked?

There is no published uptime or success-rate figure for this Actor. Concurrency within a single run is fixed at 5 — not an input you can raise — so scaling a large ASIN list means splitting it across multiple runs rather than one large one. Setting zipCode and leaving proxyCountry on Auto (which matches the exit to the marketplace) are the two levers documented in the schema for improving how often a page returns usable data.

How fresh is the data it returns?

Live. Every run fetches the product page fresh over HTTP; nothing is served from a cache. Two runs against the same ASIN minutes apart can return different price or inStock values if Amazon's own page has changed.

Which fields work best for AI training and RAG indexing?

For RAG: description, features and attributes carry the most descriptive text per product and chunk cleanly. For training data: price, stars, starsBreakdown and bestsellerRanks are the most structurally consistent numeric/categorical fields across records. All fields return as typed primitives, objects or arrays — no HTML parsing is needed before indexing.

Is this data-protection relevant?

No individual reviewer, buyer or seller-employee identity is returned — seller carries a business name, not a person. The output is business/product data, so the personal-data frameworks that govern profile or reviewer scraping do not apply here in the same way; storage and use decisions still sit with you.

Does it work with Claude, ChatGPT and other AI agent tools?

Yes. It is reachable through Apify's hosted MCP server (https://mcp.apify.com?tools=<YOUR_USERNAME>/amazon-asin-scraper-pay-per-events), and callable as a standard HTTP endpoint through the Apify API by any agent framework — LangChain, CrewAI, a custom tool definition. Every response is typed JSON, ready to drop into an LLM context window without a parsing step.

Is this an alternative to Amazon's Product Advertising API?

For read-only product lookups, yes in effect — the Product Advertising API requires Amazon Associates approval and ties usage to your affiliate sales volume. This Actor needs neither; you paste ASINs and get JSON back, at the cost of running an HTTP scrape instead of a sanctioned API call.

Can I mix marketplaces in one run?

No — one run targets one amazonDomain. Run the Actor once per storefront and join the results on asin if you need several marketplaces side by side.

How does it compare to other Amazon ASIN scrapers?

Checked on the Apify Store on 26 July 2026: junglee/amazon-asins-scraper is the most-used option and adds offer/seller-competitor data and a rental pricing model ($40/month plus platform usage); it does not document a rating histogram or A+ content field. jaybird/amazon-product-data-scraper is a comparable pay-per-event, HTTP-only scraper that additionally advertises up to 5 top reviews per product, which this Actor does not attempt. harvestlab/amazon-scraper is a much broader suite — search scraping, cross-run BSR time-series tracking, alert webhooks and multi-provider AI analysis — at the cost of far more input surface to configure. This Actor's distinction is depth on the single product record itself: the full rating histogram and structured A+/brand-story content, returned from an ASIN list with six input fields.

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Disclaimer

Amazon ASIN Scraper Pay Per Events extracts only publicly available data from Amazon product pages. This tool is intended for lawful use cases only. Users are responsible for complying with Amazon's Conditions of Use and applicable data protection laws in their jurisdiction.