# Amazon Product Scraper - Prices, Reviews & ASIN (`flash_scraper/amazon-product-scraper`) Actor Amazon product scraper by keyword or URL — title, ASIN, brand, numeric price + currency, list price, discount %, rating, reviews, in-stock, category, seller & image, with a 0-100 deal score. Dedup, filters & clean flat rows. Track prices & monitor competitors. Export CSV/JSON/Excel. - **URL**: https://apify.com/flash\_scraper/amazon-product-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/flash_scraper) (community) - **Categories:** E-commerce, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.000035 / actor start This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 - Prices, Reviews & ASIN **This Amazon product scraper turns any keyword or URL into a clean product spreadsheet** — one flat row per product with the title, ASIN, brand, a numeric price + currency, list price, computed discount %, star rating, review count, in-stock status, category, seller, image, and a 0–100 deal score. Search Amazon by keyword (or paste product/search URLs), filter to what matters, and export to CSV, JSON, or Excel. Built for **e-commerce sellers, price trackers, dropshippers, and market researchers** who want structured product data — not a nested scrape. It reads only **public** product pages: no login, no API key. --- ### How to scrape Amazon products 1. Enter **search keywords** (e.g. `wireless earbuds`, `standing desk`) and pick the **marketplace** (US, UK, DE, …). Or paste product / search URLs into `productUrls`. 2. The scraper pulls matching products via the proven [`junglee/amazon-crawler`](https://apify.com/junglee/amazon-crawler) engine. 3. Each product is cleaned: the price object is flattened to a number + currency, the discount % is computed from the list price, the breadcrumb is split into a category array, and the seller object is flattened. 4. Duplicates (same ASIN) are removed, your filters applied, and every product gets a **0–100 deal score** (rating + review volume + discount + availability). 5. You get a clean table to download as CSV, JSON, or Excel — or pull via API. --- ### What data you get Every row is one product, best deals first: - **Title, ASIN, and brand.** - **Price and currency** — flattened to a clean number, plus `listPrice` and a computed `discountPct`. - **Rating and review count** — social-proof signals. - **In-stock flag** — `inStock` true/false. - **Category** — the breadcrumb trail as an array. - **Seller** — seller name (enable seller scraping for rating/details). - **Image and product URL.** - **Features** — bullet-point list (when full details are scraped). - **A 0–100 deal score** — blends rating, log-scaled review volume, discount %, and availability. --- ### Filters & options - **Minimum rating** — keep only well-rated products. - **Minimum reviews** — drop products without social proof. - **Maximum price** — stay within budget. - **In-stock only** — drop unavailable items. - **Brands** — keep only specific brands. - **Scrape full details** — visit each product page for description + features. - **Scrape sellers** — collect seller name and rating. #### Input | Field | Type | Description | |---|---|---| | `searchTerms` | array | Product keywords, one per line. | | `productUrls` | array | Amazon product / category / search URLs (advanced). | | `country` | string | Amazon marketplace (US, GB, DE, …). | | `maxItems` | integer | Max products per keyword. Default `50`. | | `maxPages` | integer | Search pages per keyword. Default `1`. | | `scrapeProductDetails` | boolean | Visit product pages for description/features. Default `true`. | | `scrapeSellers` | boolean | Collect seller info. Default `false`. | | `minRating` | number | Keep products ≥ this rating (`0` = no filter). | | `minReviews` | integer | Keep products ≥ this many reviews. | | `maxPrice` | number | Keep products ≤ this price. | | `inStockOnly` | boolean | Drop out-of-stock products. | | `brands` | array | Keep only these brands. | **Example input:** ```json { "searchTerms": ["wireless earbuds"], "country": "US", "maxItems": 50, "scrapeProductDetails": true, "minRating": 4, "minReviews": 100, "maxPrice": 80, "inStockOnly": true } ```` #### JSON output sample ```json { "deal_score": 91, "title": "Acme Wireless Earbuds, ANC, 40h Battery", "asin": "B09XYZ1234", "brand": "Acme", "price": 49.99, "currency": "USD", "listPrice": 79.99, "discountPct": 38, "rating": 4.5, "reviewsCount": 12840, "inStock": true, "category": ["Electronics", "Headphones", "Earbud Headphones"], "seller": "Acme Official Store", "bestsellerRank": 14, "image": "https://m.media-amazon.com/images/...jpg", "url": "https://www.amazon.com/dp/B09XYZ1234" } ``` Results render as a clean, sortable table on the Output tab and export to CSV, JSON, or Excel. *** ### Use cases - **Price tracking & monitoring** — re-run on a schedule to watch prices and discounts. - **Competitor & market research** — pull a whole category to compare prices, ratings, and brands. - **Dropshipping / product research** — find high-rating, high-review, discounted products fast. - **Catalog enrichment** — pull ASIN, brand, images, and categories into your own store. *** ### Use with AI agents & automation Run this from the Apify **MCP** server so AI agents (Claude, ChatGPT, Cursor) can pull product data as a tool call, schedule runs through **Make**, **n8n**, or **Zapier** to track price drops, or sync the dataset to **Google Sheets** for a live price dashboard. Clean flat JSON drops into pricing pipelines with no glue code. *** ### Pricing **Pay-per-result — you're charged only for the products delivered after your filters.** Set `maxItems` and use filters to keep cost predictable. See the Apify Store page for the current per-result price. *** ### FAQ **Do I need an Amazon account or API key?** No. It reads public product pages with no login and no key. **Can I scrape by ASIN?** Yes — paste the product URL (`https://www.amazon.com/dp/ASIN`) into `productUrls`, or search by keyword. **Why is a price sometimes missing?** Amazon hides prices on some listings, or shows variant-level pricing. Enable full product details for the most complete data. **Which marketplaces are supported?** US, UK, Germany, France, Canada, Italy, Spain, India, Japan, Mexico, Brazil, Australia, Netherlands, UAE, and Sweden. **Is scraping Amazon legal?** This collects **public** product data only. Amazon's terms restrict automated access and Amazon uses anti-bot defenses, so expect occasional partial runs. Use the data for research/monitoring and follow Amazon's terms and local law. **Can I export to CSV or Google Sheets?** Yes — CSV, JSON, or Excel from the Output tab, or sync to Google Sheets via Make, n8n, or Zapier. *** ### Other Flash Scrape scrapers - [Indeed Jobs Scraper](https://apify.com/flash_scraper/indeed-jobs-scraper) — Indeed job listings - [Google Search Results Scraper](https://apify.com/flash_scraper/google-serp-scraper) — Google SERP & rankings - [Google Maps Leads Scraper](https://apify.com/flash_scraper/google-maps-leads-opener) — Google Maps business leads - [Yelp Leads Scraper](https://apify.com/flash_scraper/yelp-leads-scraper) — Yelp business leads - [Instagram Leads Scraper](https://apify.com/flash_scraper/instagram-leads-scraper) — Instagram profile leads - [TikTok Leads Scraper](https://apify.com/flash_scraper/tiktok-leads-scraper) — TikTok creator leads # Actor input Schema ## `searchTerms` (type: `array`): Product keywords to search on Amazon — one per line. e.g. 'wireless earbuds', 'standing desk'. ## `productUrls` (type: `array`): Amazon product, category, or search-result URLs to scrape directly. ## `country` (type: `string`): Which Amazon marketplace to scrape. ## `maxItems` (type: `integer`): Maximum number of products to scrape per keyword / start URL. ## `maxPages` (type: `integer`): How many search-result pages to paginate through per keyword. ## `scrapeProductDetails` (type: `boolean`): Visit each product page for description, features, and richer fields (slower, higher cost). ## `scrapeSellers` (type: `boolean`): Also collect the seller name and rating for each product. ## `minRating` (type: `number`): Keep only products at or above this star rating, 0-5 (0 = no filter). ## `minReviews` (type: `integer`): Keep only products with at least this many reviews (0 = no filter). ## `maxPrice` (type: `number`): Keep only products at or below this price (0 = no filter). ## `inStockOnly` (type: `boolean`): Drop products that are out of stock. ## `brands` (type: `array`): Keep only these brands (leave empty for all). ## Actor input object example ```json { "searchTerms": [ "standing desk", "yoga mat" ], "productUrls": [], "country": "US", "maxItems": 50, "maxPages": 1, "scrapeProductDetails": true, "scrapeSellers": false, "minRating": 0, "minReviews": 0, "maxPrice": 0, "inStockOnly": false, "brands": [] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchTerms": [ "wireless earbuds" ] }; // Run the Actor and wait for it to finish const run = await client.actor("flash_scraper/amazon-product-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "searchTerms": ["wireless earbuds"] } # Run the Actor and wait for it to finish run = client.actor("flash_scraper/amazon-product-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerms": [ "wireless earbuds" ] }' | apify call flash_scraper/amazon-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=flash_scraper/amazon-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product Scraper - Prices, Reviews & ASIN", "description": "Amazon product scraper by keyword or URL — title, ASIN, brand, numeric price + currency, list price, discount %, rating, reviews, in-stock, category, seller & image, with a 0-100 deal score. Dedup, filters & clean flat rows. Track prices & monitor competitors. Export CSV/JSON/Excel.", "version": "0.1", "x-build-id": "bW0UHJSBE6wKbZn7M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/flash_scraper~amazon-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-flash_scraper-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/flash_scraper~amazon-product-scraper/runs": { "post": { "operationId": "runs-sync-flash_scraper-amazon-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/flash_scraper~amazon-product-scraper/run-sync": { "post": { "operationId": "run-sync-flash_scraper-amazon-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerms": { "title": "Search keywords", "type": "array", "description": "Product keywords to search on Amazon — one per line. e.g. 'wireless earbuds', 'standing desk'.", "items": { "type": "string" } }, "productUrls": { "title": "Product / search URLs (advanced)", "type": "array", "description": "Amazon product, category, or search-result URLs to scrape directly.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "country": { "title": "Amazon marketplace", "enum": [ "US", "GB", "DE", "FR", "CA", "IT", "ES", "IN", "JP", "MX", "BR", "AU", "NL", "AE", "SE" ], "type": "string", "description": "Which Amazon marketplace to scrape.", "default": "US" }, "maxItems": { "title": "Max products per search", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of products to scrape per keyword / start URL.", "default": 50 }, "maxPages": { "title": "Search pages per term", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many search-result pages to paginate through per keyword.", "default": 1 }, "scrapeProductDetails": { "title": "Scrape full product details", "type": "boolean", "description": "Visit each product page for description, features, and richer fields (slower, higher cost).", "default": true }, "scrapeSellers": { "title": "Scrape seller info", "type": "boolean", "description": "Also collect the seller name and rating for each product.", "default": false }, "minRating": { "title": "Minimum rating", "minimum": 0, "maximum": 5, "type": "number", "description": "Keep only products at or above this star rating, 0-5 (0 = no filter).", "default": 0 }, "minReviews": { "title": "Minimum reviews", "minimum": 0, "type": "integer", "description": "Keep only products with at least this many reviews (0 = no filter).", "default": 0 }, "maxPrice": { "title": "Maximum price", "minimum": 0, "type": "number", "description": "Keep only products at or below this price (0 = no filter).", "default": 0 }, "inStockOnly": { "title": "In-stock only", "type": "boolean", "description": "Drop products that are out of stock.", "default": false }, "brands": { "title": "Brands", "type": "array", "description": "Keep only these brands (leave empty for all).", "default": [], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```