# Amazon Product Scraper (`apple_yang/amazon-product-scraper`) Actor A lightweight Amazon product scraper that extracts structured product data from category or search URLs. - **URL**: https://apify.com/apple\_yang/amazon-product-scraper.md - **Developed by:** [APISmith](https://apify.com/apple_yang) (community) - **Categories:** AI, Videos, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $4.50 / 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.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 ## πŸ“¦ Amazon Product Scraper A lightweight Amazon product scraper that extracts structured product data from category or search URLs. This scraper allows you to collect product listings such as titles, prices, ratings, and ASINs directly from Amazon pages without using the official API. --- ### πŸš€ Features * Scrape Amazon category/search result pages * Extract structured product data: * Title * ASIN * Brand * Ratings & review count * Price * Image URL * Breadcrumbs (category path) * Product URL * Supports country-specific scraping (e.g., US, UK, DE) * Returns clean JSON output * Simple input configuration --- ### πŸ“₯ Input Provide a JSON input with the following structure: ```json { "searchurls": [ "https://www.amazon.com/b/ref=glow_cls?node=215138479011&pf_rd_p=719b5b5d-ea3f-4e46-943c-0bf3b7f52fdb&pf_rd_r=ZPZ4AA77XV7R0DS6N3KS&ref_=F2MAFSPR26¤cy=CNY&language=en_US" ], "count": 21, "countryCode": "US" } ```` #### Input parameters | Field | Type | Description | | ------------- | ------ | -------------------------------------------- | | `searchurls` | Array | Amazon category or search result URLs | | `count` | Number | Maximum number of products to scrape | | `countryCode` | String | The proxy country code (e.g., `US`, `UK`, `DE`),Reference Address:https://laendercode.net/en/2-letter-list.html | *** ### πŸ“€ Output The scraper returns a JSON array of product objects: ```json [ { "title": "adidas Mens Response Pace Runningadidas Mens Response Pace Running", "asin": "B0F4WX6TK3", "brand": "", "stars": 4.7, "reviewsCount": 126, "thumbnailImage": "https://m.media-amazon.com/images/I/61vCIk6HiQL._AC_UL320_.jpg", "breadCrumbs": "Clothing, Shoes & Jewelry>Men>Shoes>Athletic>Running>Road Running", "description": "adidas Mens Response Pace Running", "price": { "currency": "$", "value": 39 }, "url": "https://www.amazon.com/dp/B0F4WX6TK3" } ] ``` *** ### πŸ“Š Output fields | Field | Description | | ---------------- | ------------------------------------- | | `title` | Product title | | `asin` | Amazon Standard Identification Number | | `brand` | Product brand | | `stars` | Average rating | | `reviewsCount` | Number of reviews | | `thumbnailImage` | Product image URL | | `breadCrumbs` | Category hierarchy | | `description` | Product description/title | | `price.currency` | Currency symbol | | `price.value` | Product price | | `url` | Product detail page URL | *** ### βš™οΈ Usage #### 1. Prepare input Save your input JSON: ```bash echo '{ ... }' > input.json ``` #### 2. Run scraper Use your preferred method (CLI / API / SDK). Example (pseudo): ```bash run-amazon-scraper input.json ``` *** ### 🧠 Use cases - πŸ›’ E-commerce data aggregation - πŸ“Š Price monitoring - 🏷️ Competitor analysis - πŸ“ˆ Market research - πŸ€– Building product datasets *** ### ⚠️ Notes - Amazon structure may change, which can affect scraping results - Large-scale scraping may require proxy rotation - Respect Amazon’s terms of service *** ### πŸ“¦ Summary This Amazon Product Scraper provides a simple way to extract structured product data at scale, similar to Apify actors but tailored to your custom schema and output format. # Actor input Schema ## `searchurls` (type: `array`): The URL of the amazon product search page you want to get the data from. ## `count` (type: `integer`): The number of products to scrape from each search result page. ## `countryCode` (type: `string`): Please select the country code of the proxy you want to use. ## Actor input object example ```json { "searchurls": [ "https://www.amazon.com/s?i=computers-intl-ship&bbn=16225007011&rh=n%3A16225007011%2Cn%3A1292115011" ], "count": 5, "countryCode": "US" } ``` # 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 = { "searchurls": [ "https://www.amazon.com/s?i=computers-intl-ship&bbn=16225007011&rh=n%3A16225007011%2Cn%3A1292115011" ], "count": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("apple_yang/amazon-product-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchurls": ["https://www.amazon.com/s?i=computers-intl-ship&bbn=16225007011&rh=n%3A16225007011%2Cn%3A1292115011"], "count": 5, } # Run the Actor and wait for it to finish run = client.actor("apple_yang/amazon-product-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchurls": [ "https://www.amazon.com/s?i=computers-intl-ship&bbn=16225007011&rh=n%3A16225007011%2Cn%3A1292115011" ], "count": 5 }' | apify call apple_yang/amazon-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apple_yang/amazon-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product Scraper", "description": "A lightweight Amazon product scraper that extracts structured product data from category or search URLs.", "version": "0.0", "x-build-id": "YpBoLkXedzOBkexx3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apple_yang~amazon-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apple_yang-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/apple_yang~amazon-product-scraper/runs": { "post": { "operationId": "runs-sync-apple_yang-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/apple_yang~amazon-product-scraper/run-sync": { "post": { "operationId": "run-sync-apple_yang-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", "required": [ "searchurls", "count", "countryCode" ], "properties": { "searchurls": { "title": "The URL of the amazon product search page", "type": "array", "description": "The URL of the amazon product search page you want to get the data from.", "items": { "type": "string" } }, "count": { "title": "The number of products to scrape", "type": "integer", "description": "The number of products to scrape from each search result page." }, "countryCode": { "title": "The proxy country code", "enum": [ "AF", "AX", "AL", "DZ", "AS", "AD", "AO", "AI", "AQ", "AG", "AR", "AM", "AW", "AU", "AT", "AZ", "BS", "BH", "BD", "BB", "BY", "BE", "BZ", "BJ", "BM", "BT", "BO", "BQ", "BA", "BW", "BV", "BR", "IO", "VG", "BN", "BG", "BF", "BI", "CV", "KH", "CM", "CA", "KY", "CF", "TD", "CL", "CN", "CX", "CC", "CO", "KM", "CK", "CR", "HR", "CU", "CW", "CY", "CZ", "CD", "DK", "DJ", "DM", "DO", "EC", "EG", "SV", "GQ", "ER", "EE", "SZ", "ET", "FK", "FO", "FJ", "FI", "FR", "GF", "PF", "TF", "GA", "GM", "GE", "DE", "GH", "GI", "GR", "GL", "GD", "GP", "GU", "GT", "GG", "GN", "GW", "GY", "HT", "HM", "HN", "HK", "HU", "IS", "IN", "ID", "IR", "IQ", "IE", "IM", "IL", "IT", "CI", "JM", "JP", "JE", "JO", "KZ", "KE", "KI", "XK", "KW", "KG", "LA", "LV", "LB", "LS", "LR", "LY", "LI", "LT", "LU", "MO", "MG", "MW", "MY", "MV", "ML", "MT", "MH", "MQ", "MR", "MU", "YT", "MX", "FM", "MD", "MC", "MN", "ME", "MS", "MA", "MZ", "MM", "NA", "NR", "NP", "AN", "NC", "NZ", "NI", "NE", "NG", "NU", "NF", "KP", "MK", "MP", "NO", "OM", "PK", "PW", "PS", "PA", "PG", "PY", "PE", "PH", "PN", "PL", "PT", "PR", "QA", "CG", "RE", "RO", "RU", "RW", "BL", "SH", "KN", "LC", "MF", "PM", "VC", "WS", "SM", "ST", "SA", "SN", "RS", "CS", "SC", "SL", "SG", "SX", "SK", "SI", "SB", "SO", "ZA", "GS", "KR", "SS", "ES", "LK", "SD", "SR", "SJ", "SE", "CH", "SY", "TW", "TJ", "TZ", "TH", "NL", "TL", "TG", "TK", "TO", "TT", "TN", "TR", "TM", "TC", "TV", "VI", "UG", "UA", "AE", "GB", "US", "UM", "UY", "UZ", "VU", "VA", "VE", "VN", "WF", "EH", "YE", "ZM", "ZW" ], "type": "string", "description": "Please select the country code of the proxy you want to use.", "default": "US" } } }, "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 } } } } } } } } } } ```