# Amazon Product Scraper (`brilliant_gum/amazon-product-scraper`) Actor Extract prices, ratings, reviews, Best Sellers Rank, variants, Q\&A and full specs from any Amazon product. Search by keyword, ASIN, or URL across 10 marketplaces โ€” US, UK, DE, FR, IT, ES, CA, AU, JP, IN. No API key needed. $25 per 1,000 results. - **URL**: https://apify.com/brilliant\_gum/amazon-product-scraper.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** E-commerce, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $25.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ![Amazon Product Scraper](https://i.imgur.com/Sok7NyR.jpg) --- ## Amazon Product Scraper Extract **prices, ratings, reviews, Best Sellers Rank, variants, Q&A and full specs** from any Amazon product โ€” across **10 marketplaces**. No API key. No login. Just clean data. --- ### What makes this different Other scrapers return title + price. This one returns **everything Amazon shows on the page**, structured and ready to use. Every product comes with **40+ fields** โ€” in consistent JSON, ready for spreadsheets, databases, AI pipelines, or price trackers. --- ### Data you receive #### Always included | Field | Description | |-------|-------------| | `asin` | Unique Amazon product ID | | `title` | Full product title | | `price` | Current price (numeric) | | `listPrice` | Original price before discount | | `currency` | Auto-detected: USD / GBP / EUR / JPY / INR / AUD / CAD | | `savings` + `savingsPct` | Discount amount and % | | `stars` + `reviewsCount` | Average rating and total count | | `isPrime` | Prime delivery eligibility | | `isSponsored` | Sponsored listing flag | | `delivery` | Delivery estimate text | | `imageUrl` | Main product image | | `position` | Rank in search results | | `searchQuery` | Keyword that returned this product | #### With full product details *(scrapeProductDetails: true)* | Field | Description | |-------|-------------| | `brand` | Brand or store name | | `categories` | Full category breadcrumb path | | `featureBullets` | Highlight bullet points | | `description` | Full product description | | `images` | All hi-res gallery image URLs | | `variants` | All colors / sizes with ASINs and URLs | | `technicalDetails` | Full specs table (dimensions, weight, materialโ€ฆ) | | `weight` + `dimensions` | Extracted from specs | | `bestSellersRank` | BSR rank + category at every level | | `monthlyBought` | "10K+ bought in past month" social proof | | `inStock` + `availability` | Live stock status | | `stockCount` | Units left if shown | | `seller` | Seller name, fulfilled by Amazon flag | | `couponText` | Active coupon badge | | `subscribeAndSavePrice` | S&S discounted price | | `shippingPrice` | Shipping cost (0 = free) | | `returnPolicy` | Return policy text | | `starsBreakdown` | % per star level | | `answeredQuestionsCount` | Number of Q&A entries | | `qAndA` | Top questions and answers | | `frequentlyBoughtTogether` | Bundle products | | `reviews` | Customer reviews *(when maxReviewsPerProduct > 0)* | --- ### 10 marketplaces supported ๐Ÿ‡บ๐Ÿ‡ธ amazon.com  ยท  ๐Ÿ‡ฌ๐Ÿ‡ง amazon.co.uk  ยท  ๐Ÿ‡ฉ๐Ÿ‡ช amazon.de  ยท  ๐Ÿ‡ซ๐Ÿ‡ท amazon.fr  ยท  ๐Ÿ‡ฎ๐Ÿ‡น amazon.it  ยท  ๐Ÿ‡ช๐Ÿ‡ธ amazon.es  ยท  ๐Ÿ‡จ๐Ÿ‡ฆ amazon.ca  ยท  ๐Ÿ‡ฆ๐Ÿ‡บ amazon.com.au  ยท  ๐Ÿ‡ฏ๐Ÿ‡ต amazon.co.jp  ยท  ๐Ÿ‡ฎ๐Ÿ‡ณ amazon.in Currency is detected automatically per marketplace โ€” no configuration needed. Country-matched residential proxies are used per marketplace for maximum reliability. --- ### Three input modes #### ๐Ÿ” Keyword search ```json { "searchQueries": ["wireless headphones", "standing desk"], "amazonDomain": "amazon.com", "maxProducts": 100, "sort": "review-rank", "scrapeProductDetails": true } ```` #### ๐ŸŽฏ ASIN list ```json { "asins": ["B07QK2SPP7", "B01MTB55WH", "B09B8YWXDF"], "amazonDomain": "amazon.co.uk", "scrapeProductDetails": true } ``` #### ๐Ÿ”— Any Amazon URL ```json { "startUrls": [ "https://www.amazon.de/s?k=laptop+stand", "https://www.amazon.com/dp/B07QK2SPP7" ], "maxProducts": 50 } ``` *** ### Sample output ```json { "asin": "B09G9FPHY6", "title": "Apple AirPods Pro (2nd Generation)", "url": "https://www.amazon.com/dp/B09G9FPHY6", "brand": "Apple", "price": 189.99, "listPrice": 249.00, "currency": "USD", "savings": 59.01, "savingsPct": 24, "stars": 4.8, "reviewsCount": 94231, "isPrime": true, "inStock": true, "monthlyBought": 50000, "bestSellersRank": [ { "rank": 1, "category": "Headphones" }, { "rank": 3, "category": "Electronics" } ], "variants": [ { "asin": "B0CHWRXH8B", "title": "USB-C", "url": "https://www.amazon.com/dp/B0CHWRXH8B" }, { "asin": "B0D1XD1ZV3", "title": "MagSafe", "url": "https://www.amazon.com/dp/B0D1XD1ZV3" } ], "categories": ["Electronics", "Headphones", "Earbud Headphones"], "delivery": "FREE delivery Saturday, May 9", "seller": { "name": "Amazon.com", "fulfilledByAmazon": true }, "scrapedAt": "2026-05-04T14:00:00.000Z" } ``` *** ### Use cases **๐Ÿ’ฐ Price monitoring** โ€” track competitor prices across marketplaces daily. Catch every discount and restock automatically. **๐Ÿ“ˆ Market research** โ€” find trending products by BSR, review velocity, and monthly purchase counts. **๐Ÿ”Ž Product sourcing** โ€” analyze specs, variants, seller data, and review sentiment before committing. **๐Ÿค– AI & data pipelines** โ€” structured JSON ready for LLMs, recommendation engines, and BI dashboards. **๐Ÿ“Š Amazon SEO** โ€” study what titles, bullets, and descriptions dominate page 1 in any category. *** ### Pricing **$25 per 1,000 results.** No subscriptions. No monthly fees.\ Pay only for what you scrape โ€” $0.025 per product with 40+ fields, live data, and 10 marketplaces. *** ### FAQ **Do I need an Amazon account or API key?**\ No. Works completely without any credentials. **How fresh is the data?**\ 100% real-time. Every run fetches live data directly from Amazon โ€” no cache, no stale results. **What if Amazon changes its layout?**\ Multiple fallback selectors per field keep the scraper working through Amazon's frequent A/B tests and template changes. **Can I scrape reviews?**\ Yes โ€” set `maxReviewsPerProduct` up to 100. Reviews include rating, title, body, verified badge, and helpful votes count. **What export formats are available?**\ JSON, CSV, Excel, XML โ€” all standard Apify formats, ready to download after every run. **How many products can I scrape at once?**\ Up to 500 products per search query. Run multiple queries simultaneously in one actor run. # Actor input Schema ## `searchQueries` (type: `array`): Keywords to search on Amazon (e.g. 'wireless headphones', 'laptop stand'). ## `asins` (type: `array`): Amazon product ASINs to scrape directly (e.g. B08N5WRWNW). ## `startUrls` (type: `array`): Amazon product, search, or category URLs to scrape. ## `amazonDomain` (type: `string`): Which Amazon marketplace to scrape. ## `maxProducts` (type: `integer`): Maximum number of products to return per search query or URL. ## `scrapeProductDetails` (type: `boolean`): Visit each product page for full details (price, images, specs, Q\&A, variants). Slower but much richer data. ## `sort` (type: `string`): How to sort Amazon search results. ## `maxReviewsPerProduct` (type: `integer`): How many customer reviews to scrape per product. Set 0 to skip reviews. ## Actor input object example ```json { "searchQueries": [ "wireless headphones" ], "amazonDomain": "amazon.com", "maxProducts": 10, "scrapeProductDetails": false, "sort": "relevanceblender", "maxReviewsPerProduct": 0 } ``` # Actor output Schema ## `products` (type: `string`): Dataset containing all scraped Amazon products with 40+ fields: price, listPrice, currency, stars, reviewsCount, BSR, variants, featureBullets, images, technicalDetails, Q\&A, reviews and more # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "wireless headphones" ], "maxProducts": 10, "scrapeProductDetails": false }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/amazon-product-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["wireless headphones"], "maxProducts": 10, "scrapeProductDetails": False, } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/amazon-product-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "wireless headphones" ], "maxProducts": 10, "scrapeProductDetails": false }' | apify call brilliant_gum/amazon-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/amazon-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product Scraper", "description": "Extract prices, ratings, reviews, Best Sellers Rank, variants, Q&A and full specs from any Amazon product. Search by keyword, ASIN, or URL across 10 marketplaces โ€” US, UK, DE, FR, IT, ES, CA, AU, JP, IN. No API key needed. $25 per 1,000 results.", "version": "1.0", "x-build-id": "JEw6N5kdWC4bsDlWD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~amazon-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-amazon-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brilliant_gum~amazon-product-scraper/runs": { "post": { "operationId": "runs-sync-brilliant_gum-amazon-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brilliant_gum~amazon-product-scraper/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-amazon-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Search Keywords", "type": "array", "description": "Keywords to search on Amazon (e.g. 'wireless headphones', 'laptop stand').", "items": { "type": "string" } }, "asins": { "title": "ASINs", "type": "array", "description": "Amazon product ASINs to scrape directly (e.g. B08N5WRWNW).", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Amazon product, search, or category URLs to scrape.", "items": { "type": "string" } }, "amazonDomain": { "title": "Amazon Marketplace", "enum": [ "amazon.com", "amazon.co.uk", "amazon.de", "amazon.fr", "amazon.it", "amazon.es", "amazon.ca", "amazon.com.au", "amazon.co.jp", "amazon.in" ], "type": "string", "description": "Which Amazon marketplace to scrape.", "default": "amazon.com" }, "maxProducts": { "title": "Max Products Per Query", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of products to return per search query or URL.", "default": 10 }, "scrapeProductDetails": { "title": "Scrape Full Product Details", "type": "boolean", "description": "Visit each product page for full details (price, images, specs, Q&A, variants). Slower but much richer data.", "default": false }, "sort": { "title": "Sort Search Results By", "enum": [ "relevanceblender", "date-desc-rank", "review-rank", "price-asc-rank", "price-desc-rank" ], "type": "string", "description": "How to sort Amazon search results.", "default": "relevanceblender" }, "maxReviewsPerProduct": { "title": "Max Reviews Per Product", "minimum": 0, "maximum": 100, "type": "integer", "description": "How many customer reviews to scrape per product. Set 0 to skip reviews.", "default": 0 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```