# Amazon ASIN and Category Scraper (`felt/amazon-product-scraper`) Actor crape Amazon products by ASIN. Scrape trending products like: best sellers, new release, movers, and most wished. - **URL**: https://apify.com/felt/amazon-product-scraper.md - **Developed by:** [FELT Labs](https://apify.com/felt) (community) - **Categories:** E-commerce - **Stats:** 21 total users, 8 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## 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("felt/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 = { "asins": ["B0BN72FYFG"] } # Run the Actor and wait for it to finish run = client.actor("felt/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 '{ "asins": [ "B0BN72FYFG" ] }' | apify call felt/amazon-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=felt/amazon-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon ASIN and Category Scraper", "description": "crape Amazon products by ASIN. Scrape trending products like: best sellers, new release, movers, and most wished.", "version": "0.0", "x-build-id": "gyTIbJaS7PAurQIWz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/felt~amazon-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-felt-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/felt~amazon-product-scraper/runs": { "post": { "operationId": "runs-sync-felt-amazon-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/felt~amazon-product-scraper/run-sync": { "post": { "operationId": "run-sync-felt-amazon-product-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "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 } } } } } } } } } } ```