# Amazon Scraper All-in-One (`bret/amazon-asin`) Actor Scrape Amazon products by ASIN. Scrape trending products like: best sellers, new release, movers, and most wished. - **URL**: https://apify.com/bret/amazon-asin.md - **Developed by:** [Bret](https://apify.com/bret) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 132 total users, 1 monthly users, 0.0% runs succeeded, 10 bookmarks - **User rating**: No ratings yet ## Pricing $20.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 All-in-One Scraper The **Amazon All-in-One Scraper** is your ultimate tool for extracting detailed and structured data from Amazon. Whether you’re a researcher, e-commerce analyst, or developer, this scraper empowers you to gather insights about products and categories with precision and flexibility. ### Features 1. **Scrape Products by ASIN** - Input a list of product ASINs to extract comprehensive data for specific products. 2. **Scrape Top Products by Category and Ranking** - Choose from Amazon’s popular rankings: - **Best Sellers** - **Most Wished** - **Movers and Shakers** - **New Releases** - Filter by categories using a multiselect field to target specific areas like **Handmade Products** or **Health & Household**. 3. **Rich Data Output** - Retrieve detailed product information, including: - **Basic Details**: Title, ASIN, Category - **Media**: Image URL, Product Videos - **Seller Information**: Store Name, Store Link, Seller Name, Seller Link - **Metrics**: Price, Currency, Rating, Review Count - **Variations**: Available options and total number of variations - **Rankings & Sentiment**: Percentages of 5-star to 1-star reviews - **Influencer Content**: Videos from top brands and influencers - **Links**: Direct links to products and stores - **Last Update**: Timestamp of the last update for real-time tracking 4. **Flexible Input Fields** - **Product ASINs**: Add a list of ASINs for targeted scraping (optional). - **Ranking**: Specify a ranking type to scrape top products (optional). - **Category**: Select one or more categories for precise targeting. ### Output Format The scraped data is organized in a clean, table-like structure, making it easy to integrate into your applications or analyze directly. The fields include: - **Product Overview**: Title, Link, Image, Category - **Seller Details**: Name, Store, Ratings - **Product Metrics**: Price, Variations, Review Statistics - **Video Insights**: Product and influencer-generated videos - **Star Rating Breakdown**: Detailed sentiment analysis ### Why Use This Scraper? - **Time-Efficient**: Automate the extraction of massive amounts of data quickly. - **Accurate**: Retrieves precise data directly from Amazon. - **Customizable**: Input specific ASINs or explore by category and ranking. - **Actionable Insights**: Ideal for market research, competitor analysis, and e-commerce strategy development. ### Request New Features We’re constantly improving this scraper to meet your needs! If you have suggestions or feature requests, feel free to submit them via the **Issues** tab on this project. Your feedback is valuable and helps us enhance the scraper for everyone. --- Start scraping today and unlock powerful insights into Amazon’s vast marketplace! # Actor input Schema ## `asins` (type: `array`): Product ASIN (unique amazon id, can be extracted from product URL). ## `ranking` (type: `string`): Scrape ranking category. ## `location` (type: `string`): Amazon locatization for given country. ## `categories` (type: `array`): My multiselect field ## Actor input object example ```json { "asins": [ "B0BN72FYFG" ], "ranking": "none", "location": "United States" } ```` # 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 = { "asins": [ "B0BN72FYFG" ] }; // Run the Actor and wait for it to finish const run = await client.actor("bret/amazon-asin").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 = { "asins": ["B0BN72FYFG"] } # Run the Actor and wait for it to finish run = client.actor("bret/amazon-asin").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 '{ "asins": [ "B0BN72FYFG" ] }' | apify call bret/amazon-asin --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bret/amazon-asin", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Scraper All-in-One", "description": "Scrape Amazon products by ASIN. Scrape trending products like: best sellers, new release, movers, and most wished.", "version": "0.0", "x-build-id": "0iKSejuRvEAquLfG4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bret~amazon-asin/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bret-amazon-asin", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bret~amazon-asin/runs": { "post": { "operationId": "runs-sync-bret-amazon-asin", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bret~amazon-asin/run-sync": { "post": { "operationId": "run-sync-bret-amazon-asin", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "asins": { "title": "Product ASIN", "type": "array", "description": "Product ASIN (unique amazon id, can be extracted from product URL).", "default": [], "items": { "type": "string" } }, "ranking": { "title": "Ranking", "enum": [ "none", "best_seller", "new_release", "most_wished", "movers" ], "type": "string", "description": "Scrape ranking category.", "default": "none" }, "location": { "title": "Location", "enum": [ "Canada", "United States", "United Kingdom" ], "type": "string", "description": "Amazon locatization for given country.", "default": "United States" }, "categories": { "title": "Multiselect field", "type": "array", "description": "My multiselect field", "items": { "type": "string", "enum": [ "Amazon Devices & Accessories", "Amazon Renewed", "Appliances", "Arts, Crafts & Sewing", "Audible Books & Originals", "Automotive", "Baby", "Beauty & Personal Care", "Books", "Camera & Photo Products", "CDs & Vinyl", "Cell Phones & Accessories", "Climate Pledge Friendly", "Clothing, Shoes & Jewelry", "Collectible Coins", "Computers & Accessories", "Digital Educational Resources", "Electronics", "Entertainment Collectibles", "Gift Cards", "Grocery & Gourmet Food", "Handmade Products", "Health & Household", "Home & Kitchen", "Industrial & Scientific", "Kindle Store", "Kitchen & Dining", "Movies & TV", "Musical Instruments", "Office Products", "Patio, Lawn & Garden", "Pet Supplies", "Software", "Sports & Outdoors", "Sports Collectibles", "Tools & Home Improvement", "Toys & Games", "Unique Finds", "Video Games" ], "enumTitles": [ "Amazon Devices & Accessories", "Amazon Renewed", "Appliances", "Arts, Crafts & Sewing", "Audible Books & Originals", "Automotive", "Baby", "Beauty & Personal Care", "Books", "Camera & Photo Products", "CDs & Vinyl", "Cell Phones & Accessories", "Climate Pledge Friendly", "Clothing, Shoes & Jewelry", "Collectible Coins", "Computers & Accessories", "Digital Educational Resources", "Electronics", "Entertainment Collectibles", "Gift Cards", "Grocery & Gourmet Food", "Handmade Products", "Health & Household", "Home & Kitchen", "Industrial & Scientific", "Kindle Store", "Kitchen & Dining", "Movies & TV", "Musical Instruments", "Office Products", "Patio, Lawn & Garden", "Pet Supplies", "Software", "Sports & Outdoors", "Sports Collectibles", "Tools & Home Improvement", "Toys & Games", "Unique Finds", "Video Games" ] } } } }, "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 } } } } } } } } } } ```