Amazon Product Scraper

Amazon Product Scraper — Prices, Reviews, Sellers and Variants

Amazon Product Scraper pulls product data straight from Amazon's search, category and product pages, on any Amazon marketplace. One run returns title, price, list price, rating, specifications, images, delivery dates, the buy-box seller, variants and top reviews for every result. Every response is structured JSON — ready to pass directly to an LLM, index into a vector store, or feed a price-monitoring pipeline. No Amazon account or login needed: paste a search link, a product link or a keyword and start collecting today.

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What data can I extract with Amazon Product Scraper?

Using this Amazon Product API, you will be able to extract the following Amazon product data — enough for an amazon product specifications scraper as well as a plain listing scrape:

🆔 ASIN	📝 Title	🔗 Product URL	🖼️ Thumbnail image
💲 Price	🏷️ List price & savings %	📦 Price per unit	🎯 Sponsored flag & search position
⭐ Rating	💬 Rating count	📊 Rating breakdown (1–5 star)	🏷️ Deal badge & coupon text
🏢 Brand	🔗 Brand store link	🧬 Parent ASIN (variation family)	🗂️ Category breadcrumbs
📋 Feature bullets	📄 Description	✨ A+ content	📊 Specification tables (overview & details)
🔧 Model number	🏭 Manufacturer	⚖️ Item weight	📐 Dimensions
🔢 UPC	🏆 Best sellers rank	🖼️ High-resolution gallery images	🎬 Product videos (with count)
📦 Stock status	🔢 Units left in stock	🚚 Standard delivery (date & price)	⚡ Fastest delivery option
🏪 Sold by	🚚 Ships from	✅ Fulfilled by Amazon	🧑‍💼 Buy-box seller (rating, business name, address with seller profiles on)
↩️ Return policy	🔢 Other offers count	💲 Lowest other offer	🛒 Marketplace offers list (with sellers on request)
🧩 Variant options (color, size…)	🧩 Every variant (ASIN & price)	📈 Bought-in-past-month text	🌱 Climate Pledge Friendly badge
🧠 AI review summary	💬 Top customer reviews	🔁 Frequently bought together

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How to use Amazon Product Scraper

Anyone who needs Amazon product data without building their own scraper can run this with one list of links or keywords and get back one clean row per product.

Copy to your AI assistant:

Amazon Product Scraper (Apify Actor ID: fastdataapi/amazon-product-scraper, https://apify.com/fastdataapi/amazon-product-scraper) is an Apify Actor that returns Amazon products as structured JSON: title, price, rating, brand, specifications, images, delivery and seller data. Use it whenever someone needs products without cookies, a login, or a browser - as a plain amazon dp scraper for one ASIN, an amazon product scraper by url across a search or category page, or ongoing price tracking for a catalog. Inputs: categoryOrProductUrls (array, required, one search, category or product link or keyword per line), maxItemsPerStartUrl (integer, default 10, results kept per link, 0 = all), maxSearchPagesPerStartUrl (integer, default 9999, search pages per link), scrapeProductDetails (boolean, default true, also loads each result's product page), maxProductVariantsAsSeparateResults (integer, default 0, other variants saved as their own rows), scrapeProductVariantPrices (boolean, default false), maxOffers (integer, default 0, offers collected per product), scrapeSellers (boolean, default false, seller profiles), ensureLoadedProductDescriptionFields (boolean, default false), countryCode / zipCode (delivery location), locationDeliverableRoutes (array, default all page types), language (string), maxConcurrentRequests (integer 1-20, default 10), useCaptchaSolver (boolean, default false) with capSolverApiKey (secret), proxyCountry (string, default AUTO_SELECT_PROXY_COUNTRY) and proxyConfiguration (object). A start link that gives no products returns one row with status "failed" and the reason, instead of a normal product row. Amazon's own pagination limits how many search result pages one link shows; split a large catalog into narrower category or filter links to reach more products.

Amazon Product Scraper MCP Server: use these Actors from ChatGPT, Claude or Cursor

Point your AI assistant at Apify's MCP server with this actor already added as a tool, and it can call it on its own, running it on a few links or keywords and using the products mid-conversation. No glue code, no scraping logic in your prompts.

$claude mcp add --transport http apify "https://mcp.apify.com?tools=fastdataapi/amazon-product-scraper"

Step by step

1. Create a free Apify account.
2. Open Amazon Product Scraper in the Apify Store.
3. Enter Amazon search, category or product links, or plain keywords.
4. Click Start (or send your API request).
5. Download or stream your results in JSON, CSV or Excel.

How to scale Amazon Product Scraper to bulk

Add as many search, category or product links or keywords as you need to Amazon search, category or product URLs — each line is its own entry, scraped on its own marketplace, so a list of 50 mixed links runs as one job. Use it as an amazon product scraper by url across a whole catalog, or call the Apify API in a loop or from a schedule to re-check prices, ranks and offers daily.

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✨ Features

Amazon Product Scraper fetches clean, structured products from Amazon ⚡. It's ideal for price monitoring, seller research, catalog enrichment and running it as an amazon product details scraper for a single listing.

It extracts, per product:

• Price – current price, with list price and savings % when Amazon shows a discount.
• Rating – star rating, rating count and the 1–5 star breakdown.
• Seller – buy-box seller and other offers; turn it into an amazon seller profile scraper with Scrape seller profiles on.
• Offers – works as an amazon offers scraper, collecting buy-box and other offers per product on request.
• Specifications – brand, bullets, description, technical detail tables and best sellers rank.
• Variants – every color, size or style option, with prices on request.
• Top reviews – Amazon's review summary and the top customer reviews when the page shows them. Amazon often hides top reviews from signed-out visitors ("Sign in to see customer reviews"); those products are saved with topReviews empty and the rating breakdown and review count still filled.

⚡ Each link's products save to the dataset as soon as that link is scraped, so the output table fills in while the run is still going.

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Use cases 💡

• Price monitoring — track price, list price and coupons across competitors daily.
• Amazon seller research — compare buy-box sellers, offers and ratings in a category.
• Product research — check best sellers rank and rating before launching a listing.
• Catalog enrichment — use it as an amazon product variants scraper for color and size options.
• AI agent context — feed specifications and review summaries into a RAG pipeline.

Building an AI agent? Connect Amazon Product Scraper over MCP and let it call the actor on its own.

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Why choose this actor?

1. 8 products from one search, saved as they're found. A recorded run returned 8 products for "wireless mouse" in 10.7 seconds, with the first product already saved after 7.8 seconds.
2. Specs, reviews and variants in one row. A recorded Logitech mouse product came back with 45,291 ratings, a 4.4 average, 9 color/style variants and its best sellers rank in Computer Mice.
3. 23 marketplaces, one Actor. The same input works on amazon.com, amazon.co.uk, amazon.de and 20 other Amazon marketplaces, each scraped in its own currency and language.

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⬇️ Input

It accepts a list of Amazon search, category or product links, or plain keywords — one entry per line. categoryOrProductUrls is the only required field.

Parameter	Required	Type	Description	Example
categoryOrProductUrls	Yes	Array	Search, category or product links, or keywords, one per line	["https://www.amazon.com/s?k=wireless mouse"]
maxItemsPerStartUrl	No	Integer	Results kept per search or category link; 0 = all (default 10)	8
maxSearchPagesPerStartUrl	No	Integer	Search pages fetched per link (default 9999)	2
scrapeProductDetails	No	Boolean	Also load every result's product page (default true)	true
maxProductVariantsAsSeparateResults	No	Integer	Other variants saved as their own rows per product (default 0)	3
scrapeProductVariantPrices	No	Boolean	Price of every variant (default false)	true
maxOffers	No	Integer	Offers collected per product, buy-box first; 0 = none (default 0)	5
scrapeSellers	No	Boolean	Seller profile for the buy-box seller and offers (default false)	true
ensureLoadedProductDescriptionFields	No	Boolean	Reload pages missing bullets or description (default false)	true
countryCode	No	String	Delivery country	"US"
zipCode	No	String	Delivery zip or postal code	"10001"
locationDeliverableRoutes	No	Array	Page types that use the delivery location (default all)	["PRODUCT","SEARCH","OFFERS"]
language	No	String	Page language, e.g. en, de, ja	"en"
maxConcurrentRequests	No	Integer	Pages loaded at the same time, 1–20 (default 10)	10
useCaptchaSolver	No	Boolean	Solve image captchas with your CapSolver key (default false)	false
capSolverApiKey	No	String (secret)	Your CapSolver API key	—
proxyCountry	No	String	Proxy exit country; automatic per marketplace by default	"AUTO_SELECT_PROXY_COUNTRY"
proxyConfiguration	No	Object	Proxy settings; residential by default	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Free plan limits

Users on the Apify free plan can fetch up to 20 products per run (all start URLs together) and 200 products per month. When the limit is reached, the run finishes successfully with a status message explaining the limit. Upgrade to any paid Apify plan to remove these limits.

Example input

{
  "categoryOrProductUrls": ["https://www.amazon.com/s?k=wireless+mouse"],
  "maxItemsPerStartUrl": 8,
  "scrapeProductDetails": true,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

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⬆️ Output

Every product is one typed, normalized JSON item with the same field names on every run, saved as soon as it is scraped. Export the dataset as JSON, CSV or Excel; a start link that gives no products gets one uncharged row with status: "failed" instead.

Example output

A real row from the recorded "wireless mouse" run above (long text and lists shortened):

{
  "asin": "B004YAVF8I",
  "title": "Logitech M185 Compact Ambidextrous 2.4 GHz Wireless Mouse - Swift Grey",
  "url": "https://www.amazon.com/dp/B004YAVF8I",
  "thumbnailImage": "https://m.media-amazon.com/images/I/51WN5aXZWIL._AC_UY218_.jpg",
  "price": { "value": 14.9, "currency": "$" },
  "stars": 4.4,
  "reviewsCount": 45291,
  "isSponsored": false,
  "categoryPageData": { "productPosition": 1, "isSponsored": false },
  "brand": "Logitech",
  "brandStoreUrl": "https://www.amazon.com/stores/Logitech/page/01EFDE77-7D1A-41D7-9EEA-7C2FA22AB12F?lp_asin=B004YAVF8I",
  "parentAsin": "B0H4LB8MPT",
  "breadcrumbs": ["Electronics", "Computers & Accessories", "Keyboards, Mice & Accessories", "Mice"],
  "featureBullets": [
    "Compact Mouse: With a comfortable and contoured shape, this Logitech ambidextrous wireless mouse feels great in either right or left hand and is far superior to a touchpad",
    "Durable and Reliable: This USB wireless mouse features a line-by-line scroll wheel, up to 1 year of battery life …"
  ],
  "description": "Logitech Wireless Mouse M185. A simple, reliable mouse with plug-and-play wireless, a 1-year battery life and 3-year limited hardware warranty. …",
  "productOverview": { "Brand": "Logitech", "Color": "Swift Grey", "Connectivity Technology": "USB", "Special Feature": "Wireless" },
  "productDetails": { "Battery Average Life": "12 months", "Hand Orientation": "Ambidextrous", "Item Weight": "4.8 ounces" },
  "modelNumber": "910-002225",
  "manufacturer": "Logitech, Inc",
  "itemWeight": "4.8 ounces",
  "upc": "097855112705 097855074126",
  "bestSellersRank": [{ "rank": 1, "category": "Computer Mice", "url": "https://www.amazon.com/gp/bestsellers/pc/11036491/ref=pd_zg_hrsr_pc" }],
  "highResolutionImages": ["https://m.media-amazon.com/images/I/51WN5aXZWIL._AC_SL1500_.jpg"],
  "videos": [{ "title": "M185 Mouse Product Video", "url": "https://m.media-amazon.com/images/S/vse-vms-transcoding-artifact-us-east-1-prod/8ef630e6-c916-4a8a-abbb-00c99b6794de/default.jobtemplate.mp4.480.mp4", "duration": "00:19", "creatorType": "Vendor" }],
  "videosCount": 13,
  "listPrice": null,
  "otherOffersCount": 3,
  "otherOffersLowestPrice": { "value": 14.9, "currency": "$" },
  "offers": [],
  "variantDimensions": ["Size", "Style", "Color"],
  "variants": [
    { "asin": "B004YAVF8I", "attributes": { "Size": "1 Pack", "Style": "USB Receiver", "Color": "Swift Grey" }, "isCurrent": true, "price": { "value": 14.9, "currency": "$" } },
    { "asin": "B00PGB7OKM", "attributes": { "Size": "1 Pack", "Style": "USB Receiver", "Color": "Blue" }, "isCurrent": false, "price": null }
  ],
  "starsBreakdown": { "5star": 0.76, "4star": 0.11, "3star": 0.05, "2star": 0.01, "1star": 0.07 },
  "aiReviewsSummary": { "text": "Customers find the mouse works well and is easy to use, with a comfortable fit and good ergonomics. …" },
  "topReviews": [
    { "id": "R3SNMIE1UQ8UH", "author": "Brian", "rating": 5.0, "title": "Almost 2 Years Later and I Haven't Even Changed the Battery!", "date": "2026-09-09", "reviewedIn": "the United States", "verifiedPurchase": true }
  ],
  "climatePledgeFriendly": true,
  "frequentlyBoughtTogether": []
}

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How does it work?

Amazon Product Scraper reads the same public search, category and product pages any visitor's browser loads — no Amazon account, password or browser automation involved. Requests go through Apify's residential proxy by default, matched to each marketplace's country, so pages load the way a real local shopper would see them. When Amazon blocks a request, the run switches to a fresh session automatically and tries again; a request that keeps failing is retried with pauses before it is marked unavailable. Only data any visitor without an account can see is collected — nothing hidden behind a login is accessed or guessed. The output fields stay the same shape on every run, so a layout change on Amazon's side does not change the JSON your code reads.

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How do you integrate Amazon Product Scraper into your stack?

It works with what you already use: a REST API for any language — call it as an amazon product scraper api from your own backend — MCP for AI agents, and no-code tools.

MCP integration for AI agents

Registering the actor over MCP lets Claude, Cursor, Windsurf or any other MCP-aware agent run it on its own, without you writing any scraping logic into the prompt. The same claude mcp add command works for any MCP client that supports Streamable HTTP. This registers Amazon Product Scraper as a tool your agent can call directly, passing links or keywords and reading the products back in the same run.

$claude mcp add --transport http apify "https://mcp.apify.com?tools=fastdataapi/amazon-product-scraper"

No-code tools (n8n, Make, LangChain)

In n8n, use the Apify node's "Run an Actor" operation, or the HTTP Request node pointed at the Apify run-sync endpoint with your token. In Make, use the Apify app's "Run an Actor" module followed by "Get Dataset Items" to pull the products into your scenario. In LangChain, the langchain-apify package wraps any Apify Actor, including this one, as a callable tool.

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Is it legal to scrape Amazon data?

Collecting publicly available product data is generally lawful, although Amazon's Conditions of Use restrict automated access. Amazon Product Scraper returns only product data that any visitor without an account can see — nothing behind a login. Reviewer names, seller business details and addresses can count as personal data under GDPR and CCPA, so make sure you have a lawful basis before storing or reusing them at scale. Consult legal counsel if your use case involves bulk storage of personal data.

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Frequently asked questions

What fields does Amazon Product Scraper return?

Title, price, rating, brand and specifications are the core fields; see the data fields section for the rest. Used as an amazon product reviews scraper, it also returns Amazon's review summary and top customer reviews.

Does Amazon Product Scraper require an Amazon account or login?

No. Only public product data is extracted. No credentials needed.

How fast does Amazon Product Scraper run?

A recorded run returned 8 products for "wireless mouse" in 10.7 seconds, with the first product saved after 7.8 seconds. Data is read live from Amazon, not cached.

What happens if a link gives no product?

A start link that is not a usable Amazon link, or that Amazon gives no products for, gets one row with status: "failed" and the reason in error, while every other link keeps running.

Can I scrape multiple Amazon links at once?

Yes. Add as many search, category or product links or keywords as you need to categoryOrProductUrls; each line runs as its own entry on its own marketplace, in the same run.

Does Amazon Product Scraper work with Claude, ChatGPT, and other AI agent tools?

Yes — Amazon Product Scraper is available as an MCP tool. Register it in Claude Code, Cursor or Windsurf with the command above. Any agent that can call an HTTP endpoint can use the REST API directly.

Does Amazon Product Scraper return data in a format LLMs can use directly?

Yes. Typed, normalized JSON with consistent field names. No HTML parsing, no selectors. Pass it straight to an LLM, index it into a vector store, or feed it to an agent tool — no transformation step.

What happens when Amazon changes its layout or anti-bot system?

The actor is maintained, and the output fields stay the same even when Amazon changes how its pages work. No specific update turnaround is guaranteed.

Can I use Amazon Product Scraper without managing proxies or browser infrastructure?

Yes. Proxy rotation and block handling run on the actor's side. You send one request and get structured JSON back. No proxy accounts, no headless browser setup, no maintenance.

Which Amazon product fields work best for AI training data and RAG indexing?

For RAG: the description, feature bullets, specification tables and review summaries. For training data: the numeric and boolean fields — price, rating, rating count, stock count and the sponsored and Climate Pledge Friendly flags. All fields are typed primitives — strings, numbers, booleans, arrays or objects — no normalization needed.

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Your feedback

Found a bug or missing a field? Let us know so we can keep the actor accurate as Amazon changes. We read every report and ship fixes.