# Allpress Profiles Spider (`getdataforme/allpress-profiles-spider`) Actor Extract detailed product data from Allpress Espresso sites, including names, descriptions, images, pricing, and variants. Perfect for e-commerce analysis, market research, and price monitoring. Offers reliable scraping, flexible batch input, and clean JSON output for easy integration. - **URL**: https://apify.com/getdataforme/allpress-profiles-spider.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, NaN 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 ### Description Extract detailed product data from Allpress Espresso sites, including names, descriptions, images, pricing, and variants. Perfect for e-commerce analysis, market research, and price monitoring. Offers reliable scraping, flexible batch input, and clean JSON output for easy integration. --- ## Allpress Profiles Spider The Allpress Profiles Spider is a powerful Apify Actor designed to extract detailed product information from Allpress Espresso websites, including product names, descriptions, images, pricing, and variant details. It enables seamless data collection for e-commerce analysis, providing structured JSON outputs that are easy to integrate into your workflows. Whether you're conducting market research or monitoring prices, this Actor delivers reliable, high-quality data with minimal setup. ### Features - **Comprehensive Product Extraction**: Scrapes key details like names, descriptions, SKUs, brands, prices, and availability from Allpress product pages. - **Variant Handling**: Captures all product variants, including unique SKUs, prices, URLs, and stock status for thorough analysis. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages. - **Flexible Input**: Accepts multiple URLs for batch processing, allowing efficient scraping of multiple products in a single run. - **Structured Output**: Delivers clean, JSON-formatted data ready for export to CSV, Excel, or databases. - **Performance Optimized**: Utilizes efficient scraping techniques to minimize runtime and resource usage. - **Apify Integration**: Fully compatible with Apify's platform for easy scheduling, monitoring, and scaling. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | An array of URLs to scrape product details from. Each URL must be a valid HTTP or HTTPS link. Minimum of 1 URL required. | ["https://au.shop.allpressespresso.com/products/allpress-espresso-blend"] | ### Example Usage To run the Allpress Profiles Spider, provide input in JSON format like this: ```json { "Urls": [ "https://au.shop.allpressespresso.com/products/allpress-espresso-blend" ] } ```` The Actor will output a JSON array of product objects, such as: ```json [ { "name": "Allpress Espresso", "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend", "image": "https://au.shop.allpressespresso.com/cdn/shop/files/250g_AE_WholeBean.webp?v=1733176548&width=580", "description": "Sweet, balanced, complex. We\u2019ve been perfecting this since day one and it\u2019s everything we think espresso should be. Beautifully balanced, it\u2019s our signature flavour for a reason. Tastes like: Chocolate, sugarcane, citrus and crisp apple. Roast: Medium", "sku": "EB250B", "brand": "Allpress AU", "prices": [ 75, 22 ], "currency": "AUD", "variants": [ { "sku": "EB250B", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764814725259", "availability": "http://schema.org/InStock" }, { "sku": "EB250F", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764814758027", "availability": "http://schema.org/InStock" }, { "sku": "EB250P", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764814889099", "availability": "http://schema.org/InStock" }, { "sku": "EB250E", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815020171", "availability": "http://schema.org/InStock" }, { "sku": "EB250MM", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815151243", "availability": "http://schema.org/InStock" }, { "sku": "EB250AE", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815282315", "availability": "http://schema.org/InStock" }, { "sku": "EB250S", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815315083", "availability": "http://schema.org/InStock" }, { "sku": "EB250CB", "price": 22, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815347851", "availability": "http://schema.org/InStock" }, { "sku": "EB1B", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815380619", "availability": "http://schema.org/InStock" }, { "sku": "EB1F", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815413387", "availability": "http://schema.org/InStock" }, { "sku": "EB1P", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815446155", "availability": "http://schema.org/InStock" }, { "sku": "EB1E", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815478923", "availability": "http://schema.org/InStock" }, { "sku": "EB1MM", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815511691", "availability": "http://schema.org/InStock" }, { "sku": "EB1AE", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815544459", "availability": "http://schema.org/InStock" }, { "sku": "EB1S", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815577227", "availability": "http://schema.org/InStock" }, { "sku": "EB1CB", "price": 75, "url": "https://au.shop.allpressespresso.com/products/allpress-espresso-blend?variant=31764815609995", "availability": "http://schema.org/InStock" } ], "actor_id": "BhTomzW0DuWLQ3ADC", "run_id": "Sax6hGhp5aSi4V49P" } ] ``` ### Use Cases - **Market Research**: Analyze product offerings and pricing trends across Allpress Espresso's catalog to identify market gaps or opportunities. - **Competitive Intelligence**: Gather detailed competitor data, including variants and availability, to benchmark against your own products. - **Price Monitoring**: Track price changes and stock levels for automated alerts on discounts or restocks. - **Content Aggregation**: Collect product descriptions and images for content creation, such as blog posts or marketing materials. - **Academic Research**: Study e-commerce patterns, such as variant diversity and pricing strategies in the coffee industry. - **Business Automation**: Integrate scraped data into inventory management systems or e-commerce platforms for streamlined operations. ### Installation and Usage 1. Search for "Allpress Profiles Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 objects, each representing a scraped product. Key fields include: - `name`: Product title. - `url`: Original product URL. - `image`: Image URL. - `description`: Detailed product description. - `sku`: Primary SKU. - `brand`: Brand name. - `prices`: Array of prices (e.g., for different sizes). - `currency`: Currency code (e.g., AUD). - `variants`: Array of variant objects with SKU, price, URL, and availability status. - `actor_id` and `run_id`: Apify-specific identifiers for tracking. Data is structured for easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://au.shop.allpressespresso.com/products/allpress-espresso-blend" ] } ``` # 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/allpress-profiles-spider").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/allpress-profiles-spider").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/allpress-profiles-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/allpress-profiles-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Allpress Profiles Spider", "description": "Extract detailed product data from Allpress Espresso sites, including names, descriptions, images, pricing, and variants. Perfect for e-commerce analysis, market research, and price monitoring. Offers reliable scraping, flexible batch input, and clean JSON output for easy integration.", "version": "0.0", "x-build-id": "UUvnBR7yZFcbmIIW8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~allpress-profiles-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-allpress-profiles-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~allpress-profiles-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-allpress-profiles-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~allpress-profiles-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-allpress-profiles-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://au.shop.allpressespresso.com/products/allpress-espresso-blend" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```