# Aerin Discovery Scraper (`getdataforme/aerin-discovery-scraper`) Actor The Aerin Discovery Scraper is a sophisticated web scraper designed to extract comprehensive product information from Aerin's online catalog. It allows users to specify search queries and set item limits, making it ideal for market research, competitive analysis, and price monitoring.... - **URL**: https://apify.com/getdataforme/aerin-discovery-scraper.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 ## Aerin Discovery Scraper ### Introduction The **Aerin Discovery Scraper** is an advanced web scraping tool designed to extract detailed product information from Aerin's online catalog. This actor enables users to efficiently gather data on products by specifying search queries, making it invaluable for market research, competitive analysis, and business intelligence. ### Features - **Comprehensive Data Extraction**: Collects extensive details including SKU, price, brand, description, and more. - **Customizable Search Queries**: Allows users to specify product categories or terms of interest. - **Flexible Item Limitation**: Users can set a maximum number of items to scrape, optimizing data collection efficiency. - **High-Quality Data Output**: Ensures reliable and accurate information for analysis. - **User-Friendly Configuration**: Simple setup with intuitive input parameters. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------------------------|---------------| | searchQuery | string | No | Product search term to scrape from Aerin. | "lighting" | | maxItems | integer | No | Maximum number of products to collect (0 = unlimited). | 10 | ### Example Usage #### Input JSON ```json { "searchQuery": "lighting", "maxItems": 10 } ```` #### Output JSON ```json [ { "sku": "24122122", "name": "Olsen 15\" Cordless Accent Lamp", "url": "http://www.aerin.com/olsen-15-cordless-accent-lamp-24122122/", "image_url": "https://www.aerin.com/media/klevu_images/500X500/2/4/24122122_1.jpg", "image_hover": "https://www.aerin.com/media/klevu_images/500X500/2/5/251010_ecomm_sp26_lighting_3000x3000_07.jpg", "price": 749, "sale_price": 749, "base_price": 749, "currency": "USD", "brand": "AERIN", "description": "The Olsen's solid octagonal base follows a tapered line that adds a sculptural appeal to a table. In contrast to the geometry of the base, it is topped by a round linen shade, which adds to its glamorous deco appearance. The smooth base provides clean lines that work in both contemporary and traditional interiors. A rechargeable feature allows the Olsen to illuminate areas without a reachable power source.", "category": "Table Lamps;;Cordless Lamps;;Lamps;;Lighting;;Traditional Lighting;;At Home with Aerin;;New York Edit", "finish": "Gold", "style": "Traditional", "collection": null, "product_type": "[Cordless, Table Lamps]", "shade": "White", "in_stock": true, "product_id": "27610", "search_query": "lighting", "scraped_at": "2026-06-12T08:03:20.698Z" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data to understand market trends and consumer preferences. - **Competitive Intelligence**: Monitor competitor products and pricing strategies. - **Price Monitoring**: Track price changes over time for strategic decision-making. - **Content Aggregation**: Compile product information for content creation or marketing purposes. - **Academic Research**: Use in studies related to e-commerce, design, or consumer behavior. - **Business Automation**: Integrate with business processes for automated data collection and analysis. ### Installation and Usage 1. Search for "Aerin Discovery Scraper" 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 of product objects, each containing fields such as `sku`, `name`, `url`, `image_url`, `price`, `currency`, `brand`, `description`, `category`, and more. Each field provides specific information about the product, ensuring comprehensive data collection. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! *** ## Description Unlock powerful insights with the Aerin Discovery Scraper, your go-to tool for extracting detailed product data from Aerin's catalog. With customizable search queries and flexible item limits, it’s perfect for market research, competitive analysis, and price monitoring. Start scraping today to enhance your business intelligence efforts! # Actor input Schema ## `searchQuery` (type: `string`): Product search term to scrape from Aerin ## `maxItems` (type: `integer`): Maximum number of products to collect (0 = unlimited) ## Actor input object example ```json { "searchQuery": "lighting", "maxItems": 10 } ``` # 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 = { "searchQuery": "lighting" }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/aerin-discovery-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 = { "searchQuery": "lighting" } # Run the Actor and wait for it to finish run = client.actor("getdataforme/aerin-discovery-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 '{ "searchQuery": "lighting" }' | apify call getdataforme/aerin-discovery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/aerin-discovery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Aerin Discovery Scraper", "description": "The Aerin Discovery Scraper is a sophisticated web scraper designed to extract comprehensive product information from Aerin's online catalog. It allows users to specify search queries and set item limits, making it ideal for market research, competitive analysis, and price monitoring....", "version": "0.0", "x-build-id": "qWA3Yc57N65McsVCl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~aerin-discovery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-aerin-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~aerin-discovery-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-aerin-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~aerin-discovery-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-aerin-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Product search term to scrape from Aerin", "default": "lighting" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of products to collect (0 = unlimited)", "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 } } } } } } } } } } ```