# Amazon MCP Server — Product Search for AI Agents (`longanimous_bracken/amazon-scraper`) Actor MCP Server for Amazon product search. Search by keyword across marketplaces. AI-agent ready — returns prices, ratings, ASINs, and availability. - **URL**: https://apify.com/longanimous\_bracken/amazon-scraper.md - **Developed by:** [petteri mähönen](https://apify.com/longanimous_bracken) (community) - **Categories:** E-commerce, MCP servers - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Scraper — Products, Prices & Reviews Scrape Amazon search results across **12 countries** with structured product data: prices, ratings, reviews, availability, sellers, coupons, and more. ### Features - **12 country marketplaces** — US, UK, DE, FR, IT, ES, CA, JP, AU, IN, BR, MX - **22 output fields** — asin, title, price, currency, rating, review count, image, seller, availability, sponsored/best-seller detection, coupons - **Pay-per-result** — no monthly subscription, only pay for what you scrape - **Playwright browser** — handles JavaScript-rendered content, anti-bot bypass - **Multi-page pagination** — scrape all results, not just page 1 - **Sort options** — relevance, price (low/high), review rank, newest ### Quick Start #### 🇺🇸 Search laptops (US) ```json { "searchQuery": "gaming laptop", "maxResults": 30, "maxPages": 1, "countryCode": "US", "useProxy": true } ```` #### 🇩🇪 Search electronics (Germany) ```json { "searchQuery": "kopfhörer bluetooth", "maxResults": 20, "maxPages": 2, "countryCode": "DE", "useProxy": true, "sortOrder": "review-rank" } ``` #### 🇬🇧 Best bargains (UK) ```json { "searchQuery": "wireless mouse", "maxResults": 10, "maxPages": 1, "countryCode": "UK", "useProxy": true, "sortOrder": "price-asc-rank" } ``` ### Input Parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchQuery` | string | `"laptop"` | Search keyword | | `maxResults` | integer | `30` | Max results per run | | `maxPages` | integer | `1` | Number of search result pages | | `countryCode` | string | `"US"` | Country code: US, UK, DE, FR, IT, ES, CA, JP, AU, IN, BR, MX | | `useProxy` | boolean | `true` | Use Apify proxy | | `sortOrder` | string | `"relevanceblender"` | Sort: relevanceblender, price-asc-rank, price-desc-rank, review-rank, date-desc-rank | ### Output Fields | Field | Description | |-------|-------------| | `asin` | Amazon Standard Identification Number | | `title` | Product title | | `price` | Current price (numeric) | | `priceString` | Formatted price (e.g. "$237.36") | | `currency` | Currency code (USD, GBP, EUR, etc.) | | `listPrice` | Original/list price (numeric) | | `listPriceString` | Original/list price text | | `rating` | Star rating (e.g. "4.5 out of 5") | | `reviewCount` | Number of customer reviews | | `imageUrl` | Product image URL | | `isSponsored` | Sponsored listing | | `isBestSeller` | Best Seller badge | | `availability` | Stock availability text | | `freeShipping` | Free shipping indicator | | `coupon` | Coupon/promo text | | `deliveryDate` | Estimated delivery range | | `seller` | Seller name | | `url` | Direct product URL | ### Pricing **$1.00 / 1,000 results** — pay only for what you scrape. No monthly subscription. ### Country Codes | Code | Domain | Marketplace | |------|--------|-------------| | US | amazon.com | United States | | UK | amazon.co.uk | United Kingdom | | DE | amazon.de | Germany | | FR | amazon.fr | France | | IT | amazon.it | Italy | | ES | amazon.es | Spain | | CA | amazon.ca | Canada | | JP | amazon.co.jp | Japan | | AU | amazon.com.au | Australia | | IN | amazon.in | India | | BR | amazon.com.br | Brazil | | MX | amazon.com.mx | Mexico | ### Support - [Open an issue](https://apify.com/longanimous_bracken/amazon-scraper/issues) for bugs or feature requests - [Leave a review](https://apify.com/longanimous_bracken/amazon-scraper) — it helps others discover the tool # Actor input Schema ## `searchQuery` (type: `string`): Search term to look for on Amazon. ## `maxResults` (type: `integer`): Maximum number of results to return. ## `maxPages` (type: `integer`): Number of search result pages to scrape. ## `sortOrder` (type: `string`): How to sort the results. ## `countryCode` (type: `string`): Amazon marketplace country code. ## `useProxy` (type: `boolean`): Use Apify proxy for anti-bot protection. ## Actor input object example ```json { "searchQuery": "laptop", "maxResults": 30, "maxPages": 1, "sortOrder": "relevanceblender", "countryCode": "US", "useProxy": true } ``` # Actor output Schema ## `listings` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("longanimous_bracken/amazon-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 = {} # Run the Actor and wait for it to finish run = client.actor("longanimous_bracken/amazon-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 '{}' | apify call longanimous_bracken/amazon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=longanimous_bracken/amazon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon MCP Server — Product Search for AI Agents", "description": "MCP Server for Amazon product search. Search by keyword across marketplaces. AI-agent ready — returns prices, ratings, ASINs, and availability.", "version": "0.1", "x-build-id": "OD2aUL8TrRgueszX8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/longanimous_bracken~amazon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-longanimous_bracken-amazon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/longanimous_bracken~amazon-scraper/runs": { "post": { "operationId": "runs-sync-longanimous_bracken-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/longanimous_bracken~amazon-scraper/run-sync": { "post": { "operationId": "run-sync-longanimous_bracken-amazon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to look for on Amazon.", "default": "laptop" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to return.", "default": 30 }, "maxPages": { "title": "Max Pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Number of search result pages to scrape.", "default": 1 }, "sortOrder": { "title": "Sort Order", "type": "string", "description": "How to sort the results.", "default": "relevanceblender" }, "countryCode": { "title": "Country", "type": "string", "description": "Amazon marketplace country code.", "default": "US" }, "useProxy": { "title": "Use Proxy", "type": "boolean", "description": "Use Apify proxy for anti-bot protection.", "default": true } } }, "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 } } } } } } } } } } ```