# Amazon Product Detail Extractor (`getdataforme/amazon-product-detail-extractor`) Actor Extract comprehensive product details from Amazon, including pricing and specifications. Offers high reliability, scalability, and customizable output formats (JSON, CSV, Excel). Ideal for market analysis, competitive intelligence, price monitoring, and business automation. - **URL**: https://apify.com/getdataforme/amazon-product-detail-extractor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 --- ## README.md ### Amazon Product Detail Extractor #### Introduction The **Amazon Product Detail Extractor** is a powerful tool designed to scrape detailed product information from Amazon. It efficiently extracts data such as pricing, specifications, and customer reviews, providing valuable insights for market analysis and business intelligence. #### Features - **Comprehensive Data Extraction**: Captures extensive details including price, brand, dimensions, and more. - **High Reliability**: Ensures accurate and up-to-date information with minimal errors. - **Scalable Performance**: Supports multiple URLs and large datasets efficiently. - **Customizable Limits**: Allows setting item limits to control data volume per run. - **Versatile Output Formats**: Exports data in JSON, CSV, or Excel for easy integration. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | Url | array | Yes | The URL(s) for the spider to scrape. | `["https://www.amazon.in/Babyhug-Baby-Diapers-Pants-Medium/dp/B08TM9SVPN"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | #### Example Usage ##### Input JSON ```json { "Url": [ "https://www.amazon.in/Babyhug-Baby-Diapers-Pants-Medium/dp/B08TM9SVPN" ], "item_limit": 10 } ```` ##### Output JSON ```json [ { "title": "Babyhug Baby Diapers Pants Medium Pack of 76- Advanced Soft Diapers Pants(M76) (7-12 Kg)", "currency": "INR", "productId": "B08TM9SVPN", "productUrl": "https://www.amazon.in/Babyhug-Baby-Diapers-Pants-Medium/dp/B08TM9SVPN", "saleprice": 899, "listprice": 1289, "discount": 30.26, "brand": "babyhug", "number_of_items": "76", "colour": "White", "incontinence_protector_type": "Infant Diaper", "age_range_description": "Infant", "material_type_free": "rash free", "reusability": "Disposable", "size": "Medium - 76 Count (Pack of 1)", "net_quantity": " 76.00 Count", "pattern": "Solid", "product_dimensions": " 10 x 10 x 10 cm; 800 g", "date_first_available": " 20 January 2021", "manufacturer": " Swara Baby Products Pvt Ltd", "asin": " B08TM9SVPN", "department": " UNISEX BABY", "item_weight": " 800 g", "item_dimensions_lxwxh": " 10 x 10 x 10 Centimeters", "generic_name": " DIAPERS", "best_sellers_rank": " #1,669 in Baby Products ( ) #90 in", "customer_reviews": " 3.9 out of 5 stars (366)", "variants": [ { "asin": "B08VDXFH8F", "sale_price": 890, "list_price": 1289, "discount_percentage": 30.95, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B08TM6YKS7", "sale_price": 889, "list_price": 1299, "discount_percentage": 31.56, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B08W1WJSV7", "sale_price": 4125, "list_price": null, "discount_percentage": null, "is_available": null, "is_fod": "true", "is_prime_eligible": false }, { "asin": "B0BZP1YB1H", "sale_price": 683, "list_price": 799, "discount_percentage": 14.52, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B0BZP29WQ4", "sale_price": 898, "list_price": 1369, "discount_percentage": 34.4, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B0BZP28PLW", "sale_price": 870, "list_price": 1299, "discount_percentage": 33.03, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B0BFWCRFW2", "sale_price": 305, "list_price": 398, "discount_percentage": 23.37, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B0BZP18V81", "sale_price": 875, "list_price": 1375, "discount_percentage": 36.36, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B0B7158TTM", "sale_price": 295, "list_price": 399, "discount_percentage": 26.07, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B08TM9SVPN", "sale_price": 899, "list_price": 1289, "discount_percentage": 30.26, "is_available": true, "is_fod": false, "is_prime_eligible": false }, { "asin": "B0BZP2R7TN", "sale_price": 880, "list_price": 1299, "discount_percentage": 32.26, "is_available": true, "is_fod": false, "is_prime_eligible": false } ], "actor_id": "cbDhGz9ZAhrwSrDyd", "run_id": "emNZuQfoopVoiLMW1" } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into product trends and consumer preferences. - **Competitive Intelligence**: Monitor competitor pricing and product offerings. - **Price Monitoring**: Track price changes to optimize purchasing strategies. - **Content Aggregation**: Collect data for content creation and marketing purposes. - **Academic Research**: Use detailed product information for research studies. - **Business Automation**: Automate data collection processes for efficiency. #### Installation and Usage 1. Search for "Amazon Product Detail Extractor" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). #### Output Format The output is a JSON array containing detailed product information. Key fields include: - **title**: Product title - **currency**: Currency used for pricing - **productId**: Unique product identifier - **productUrl**: URL of the product page - **saleprice**: Current sale price - **listprice**: Original list price - **discount**: Discount percentage - **brand**: Brand name - **number\_of\_items**: Quantity in package - **colour**: Product color - **incontinence\_protector\_type**: Type of diaper - **age\_range\_description**: Suitable age range - **material\_type\_free**: Material characteristics - **reusability**: Reusability information - **size**: Product size - **net\_quantity**: Net quantity - **pattern**: Pattern type - **product\_dimensions**: Dimensions and weight - **date\_first\_available**: Date product was first available - **manufacturer**: Manufacturer name - **asin**: Amazon Standard Identification Number - **department**: Department category - **item\_weight**: Weight of the item - **item\_dimensions\_lxwxh**: Length, width, height dimensions - **generic\_name**: Generic product name - **best\_sellers\_rank**: Bestseller rank information - **customer\_reviews**: Customer review summary - **variants**: Array of product variants with details #### Support Section ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me Contact](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `Url` (type: `array`): The url for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Url": [ "https://www.amazon.in/Babyhug-Baby-Diapers-Pants-Medium/dp/B08TM9SVPN" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/amazon-product-detail-extractor").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("getdataforme/amazon-product-detail-extractor").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 getdataforme/amazon-product-detail-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/amazon-product-detail-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon Product Detail Extractor", "description": "Extract comprehensive product details from Amazon, including pricing and specifications. Offers high reliability, scalability, and customizable output formats (JSON, CSV, Excel). Ideal for market analysis, competitive intelligence, price monitoring, and business automation.", "version": "0.0", "x-build-id": "6n7fpifW3WlRhY9mx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~amazon-product-detail-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-amazon-product-detail-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~amazon-product-detail-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-amazon-product-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~amazon-product-detail-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-amazon-product-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Url": { "title": "Url", "minItems": 1, "type": "array", "description": "The url for the spider.", "default": [ "https://www.amazon.in/Babyhug-Baby-Diapers-Pants-Medium/dp/B08TM9SVPN" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```