# Alexevenings ProductInfo Scraper (`getdataforme/alexevenings-productinfo-scraper`) Actor The Alexevenings ProductInfo Scraper efficiently extracts detailed product information from the Alexevenings website, capturing essential data such as names, prices, images, and descriptions.... - **URL**: https://apify.com/getdataforme/alexevenings-productinfo-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 ## README.md ### Alexevenings ProductInfo Scraper #### Introduction The **Alexevenings ProductInfo Scraper** is designed to efficiently extract detailed product information from the Alexevenings website. This powerful tool captures essential data such as product names, images, prices, and descriptions, enabling users to perform comprehensive market research and analysis with ease. #### Features - **Comprehensive Data Extraction**: Captures a wide range of product details including name, image URLs, price, color variations, size options, and detailed descriptions. - **High-Quality Data Output**: Ensures reliable and accurate data extraction for informed decision-making. - **User-Friendly Configuration**: Simple setup with customizable start URLs to tailor the scraping process to specific needs. - **Scalable Performance**: Efficiently handles multiple product pages, making it suitable for large-scale data collection tasks. - **Versatile Use Cases**: Supports various applications such as market research, competitive intelligence, and business automation. #### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-----------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------| | startUrls | array | Yes | URLs to start with for the scraping process. | `[{"url": "https://alexevenings.com/products/bethany-glitter-lace-jacket-dress"}]` | #### Example Usage ##### Input JSON ```json { "startUrls": [ { "url": "https://alexevenings.com/products/bethany-glitter-lace-jacket-dress" } ] } ```` ##### Output JSON ```json [ { "url": "https://alexevenings.com/products/bethany-glitter-lace-jacket-dress", "productName": "Bethany Glitter Lace Jacket Dress", "productImage": "https://alexevenings.com/cdn/shop/files/81122326_CFL_a_ae4f6402-9c81-4ca0-a640-6d7b69ac963a.jpg?v=1778697428&width=1400", "price": "239.00", "currency": "USD", "colorVariation": [ "CORNFLOWER", "TAUPE", "BLUSH", "ICY ORCHID", "HYDRANGEA", "NAVY", "EGGPLANT" ], "images": [ "https://alexevenings.com/cdn/shop/files/81122326_CFL_a_ae4f6402-9c81-4ca0-a640-6d7b69ac963a.jpg?v=1778697428&width=1400", ... ], "sizeVariation": [ "6", "8", "10", "12", "14", "16", "18" ], "description": "A graceful choice for milestone moments, this jacket dress pairs shimmering glitter lace with soft satin...", "scrapedAt": "2026-07-02T07:57:19.314Z" } ] ``` #### Use Cases - **Market Research and Analysis**: Gather comprehensive product data to analyze market trends. - **Competitive Intelligence**: Monitor competitor pricing and product offerings. - **Price Monitoring**: Track price changes over time for strategic decision-making. - **Content Aggregation**: Collect product information for content creation or aggregation platforms. - **Academic Research**: Use detailed product data for academic studies in commerce or marketing. - **Business Automation**: Automate the collection of product data to streamline business processes. #### Installation and Usage 1. Search for "Alexevenings ProductInfo Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters by specifying start URLs. 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 where each object represents a product with fields such as: - `url`: The URL of the product page. - `productName`: Name of the product. - `productImage`: Main image URL of the product. - `price`: Price of the product. - `currency`: Currency in which the price is listed. - `colorVariation`: List of available colors for the product. - `images`: Array of URLs for all product images. - `sizeVariation`: Available sizes for the product. - `description`: Detailed description of the product. - `scrapedAt`: Timestamp indicating when the data was scraped. #### 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 **Alexevenings ProductInfo Scraper**: Extract comprehensive product data from Alexevenings with ease. Capture details like names, prices, and images for market research, competitive analysis, and more. Start scraping today and unlock valuable insights! # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://alexevenings.com/products/bethany-glitter-lace-jacket-dress" } ] } ``` # 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 = { "startUrls": [ { "url": "https://alexevenings.com/products/bethany-glitter-lace-jacket-dress" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/alexevenings-productinfo-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 = { "startUrls": [{ "url": "https://alexevenings.com/products/bethany-glitter-lace-jacket-dress" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/alexevenings-productinfo-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 '{ "startUrls": [ { "url": "https://alexevenings.com/products/bethany-glitter-lace-jacket-dress" } ] }' | apify call getdataforme/alexevenings-productinfo-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/alexevenings-productinfo-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Alexevenings ProductInfo Scraper", "description": "The Alexevenings ProductInfo Scraper efficiently extracts detailed product information from the Alexevenings website, capturing essential data such as names, prices, images, and descriptions....", "version": "0.0", "x-build-id": "dAWNYResUbWYiTzUr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~alexevenings-productinfo-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-alexevenings-productinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~alexevenings-productinfo-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-alexevenings-productinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~alexevenings-productinfo-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-alexevenings-productinfo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```