# Dailyorders Productdetails Spider (`getdataforme/dailyorders-productdetails-spider`) Actor This Apify Actor scrapes comprehensive product details from DailyOrders, including prices, reviews, variations, stock status, descriptions, and shipping info.... - **URL**: https://apify.com/getdataforme/dailyorders-productdetails-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 This Apify Actor scrapes comprehensive product details from DailyOrders, including prices, reviews, variations, stock status, descriptions, and shipping info.... --- ## Dailyorders Productdetails Spider ### Introduction The Dailyorders Productdetails Spider is an Apify Actor designed to scrape comprehensive product details from DailyOrders, an Australian online retailer specializing in planners and organizational tools. It extracts key information such as product names, prices, reviews, variations, stock status, descriptions, specifications, inclusions, and shipping details, enabling users to gather accurate and up-to-date data for various business needs. This Actor ensures reliable data extraction with minimal setup, making it a valuable tool for e-commerce analysis and automation. ### Features - **Comprehensive Data Extraction**: Scrapes detailed product information including prices, reviews, variations, and descriptions from DailyOrders product pages. - **Real-Time Stock Monitoring**: Provides current stock status to help with inventory tracking and availability checks. - **Variant Handling**: Captures color, size, and other variations for complete product profiling. - **High Reliability**: Built with robust error handling to ensure consistent performance across multiple URLs. - **Flexible Output**: Delivers structured JSON data that can be easily exported to CSV, Excel, or integrated into other systems. - **Fast and Scalable**: Optimized for quick scraping with support for multiple URLs in a single run. - **User-Friendly**: Simple input configuration with clear logging for monitoring progress. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-------------|---------| | Urls | array | Yes | An array of URLs pointing to DailyOrders product pages to scrape. Each URL must be a valid HTTP or HTTPS link. At least one URL is required. | ["https://www.dailyorders.com.au/products/fridge-menu-shopping-list-planner"] | ### Example Usage To run the Actor, provide the input parameters in JSON format. Here's an example: ```json { "Urls": [ "https://www.dailyorders.com.au/products/fridge-menu-shopping-list-planner" ] } ```` The Actor will output structured data for each product. Example output: ```json [ { "Product Name": "Mini Planner Bundle | Portrait | Black", "Original Price": "117.00", "Discounted Price": "110.00", "Reviews": { "rating": "5.0", "count": "9" }, "Color Variation": [ "White", "Black" ], "Size Variation": "XS - 20x30cm", "Stock Status": "Out of Stock", "Description": "Get big results in a small package with our Mini Planner Bundle! This dynamic trio includes our compact Meal Planner, versatile Blank Planner, and efficient To-Do List. Ideal for space-conscious individuals, each planner maximises organisation without overwhelming your wall space.\u00a0 \u00a0\u00a0", "Specifications": [ "Simplify your life and stay organised with our Mini Planner Bundle, featuring menu planning, note-taking, and to-do lists.", "Enjoy the convenience of bundling essential planning tools and saving money in the process.", "Feel confident and empowered as you tackle daily tasks and manage your priorities efficiently." ], "Inclusions": [ "Mini Meal Planner in Black", "Mini To Do List in Black", "Mini Blank Planner in Black", "3 x Thin White Liquid Chalk Marker", "Command\u2122 Picture Hanging Strips for Mounting" ], "Shipping": "Free Australian shipping on all orders over $25AUD. You can purchase express shipping at checkout.", "actor_id": "qReRBZjA4AgnSd4KN", "run_id": "80d5B8oLEhCDFaa9T" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather product details to analyze trends, pricing strategies, and customer reviews in the planner market. - **Competitive Intelligence**: Monitor competitors' offerings, stock levels, and variations to inform business decisions. - **Price Monitoring**: Track original and discounted prices for dynamic pricing adjustments or promotional planning. - **Content Aggregation**: Collect product descriptions, specifications, and inclusions for content creation or catalog building. - **Academic Research**: Study consumer preferences and product availability in organizational tools for research projects. - **Business Automation**: Integrate scraped data into e-commerce platforms for automated inventory updates or reporting. ### Installation and Usage 1. Search for "Dailyorders Productdetails 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 Actor outputs an array of JSON objects, each representing a scraped product. Key fields include: - **Product Name**: The name of the product. - **Original Price** and **Discounted Price**: Pricing information. - **Reviews**: An object with rating and count. - **Color Variation** and **Size Variation**: Arrays or strings for product options. - **Stock Status**: Current availability (e.g., "Out of Stock"). - **Description**, **Specifications**, **Inclusions**: Detailed text and lists about the product. - **Shipping**: Shipping policy details. - **actor\_id** and **run\_id**: Metadata for the Apify run. 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://www.dailyorders.com.au/products/fridge-menu-shopping-list-planner" ] } ``` # 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/dailyorders-productdetails-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/dailyorders-productdetails-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/dailyorders-productdetails-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/dailyorders-productdetails-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dailyorders Productdetails Spider", "description": "This Apify Actor scrapes comprehensive product details from DailyOrders, including prices, reviews, variations, stock status, descriptions, and shipping info....", "version": "0.0", "x-build-id": "2sX4gmfbQ6kxSpUhu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~dailyorders-productdetails-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-dailyorders-productdetails-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~dailyorders-productdetails-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-dailyorders-productdetails-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~dailyorders-productdetails-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-dailyorders-productdetails-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.dailyorders.com.au/products/fridge-menu-shopping-list-planner" ], "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 } } } } } } } } } } ```