# Dibdaa Productdetails Spider (`getdataforme/dibdaa-productdetails-spider`) Actor The Dibdaa Productdetails Spider scrapes comprehensive product data from Dibdaa.ae, including prices, stock, ratings, and specs. Ideal for market research and competitive analysis, it offers reliable, fast extraction with structured JSON output for easy integration. - **URL**: https://apify.com/getdataforme/dibdaa-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 The Dibdaa Productdetails Spider scrapes comprehensive product data from Dibdaa.ae, including prices, stock, ratings, and specs. Ideal for market research and competitive analysis, it offers reliable, fast extraction with structured JSON output for easy integration. --- ## Dibdaa Productdetails Spider The Dibdaa Productdetails Spider is a powerful Apify Actor designed to scrape detailed product information from Dibdaa.ae, an e-commerce platform. It efficiently extracts comprehensive data on products within specified categories, enabling users to gather insights on pricing, availability, specifications, and more. This tool is ideal for businesses and researchers seeking automated, reliable data extraction to support market analysis and decision-making. ### Features - **Comprehensive Data Extraction**: Captures key product details including titles, prices, discounts, stock levels, ratings, and specifications. - **Flexible URL Input**: Supports multiple category URLs for batch processing, allowing targeted scraping of specific product categories. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web pages. - **Fast and Scalable**: Optimized for performance, handling large volumes of data quickly without compromising accuracy. - **Structured Output**: Delivers clean, JSON-formatted results ready for integration into databases, analytics tools, or reports. - **User-Friendly**: Simple configuration through Apify's interface, with no coding required for basic use. - **Customizable**: Supports advanced users with options for tailored scraping needs. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|--------|----------|-----------------------------------------------------------------------------|---------| | CategoryUrl | array | Yes | An array of category URLs from Dibdaa.ae to scrape product details from. Must be valid HTTPS URLs. | ["https://dibdaa.ae/productslist/detail/1038/Hair%20Accessories"] | ### Example Usage To run the Dibdaa Productdetails Spider, provide the input in JSON format as shown below: ```json { "CategoryUrl": [ "https://dibdaa.ae/productslist/detail/1038/Hair%20Accessories" ] } ```` Example output in JSON format: ```json [ { "title": "Hair Accessories", "category": "Accessories", "product_id": "1038", "sku": "24384", "condition": "New", "full_description": " Explore our elegant hair accessories that blend beauty with functionality. From sophisticated barrettes and glamorous headbands to practical scrunchies and stylish pins, our selection provides the perfect finishing touch to any hairstyle. Shop now to find pieces that enhance your look effortlessly.\"", "list_price": "500 AED", "discount": "You save: 50 AED (10% OFF)", "current_price": "450 AED ", "time_left": null, "max_quantity": "4", "quantity_selected": "1", "stock_text": "Hurry,Only4left!", "rating_count": "0", "rating_percentage": "0%", "sold_count": "0", "specifications": { "UPC/EAN/ISBN": "Not Apply", "Type": "Accessories", "Age": "8-12 years", "Accessories": "Hair Tools & Accessories", "Brand": "white", "Color": "Off-white", "Size": "XL", "Warranty": "No", "0 days returns": "-" }, "last_updated": "24/Feb/2026", "actor_id": "Y6krdaLyHnvrMm7no", "run_id": "4Cb8LjtEPh5ryPCIp" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on product trends, pricing strategies, and consumer preferences in specific categories. - **Competitive Intelligence**: Monitor competitors' product offerings, discounts, and stock levels on Dibdaa.ae. - **Price Monitoring**: Track price changes and discounts to inform dynamic pricing or promotional strategies. - **Content Aggregation**: Collect product descriptions and specifications for content creation or e-commerce platforms. - **Academic Research**: Analyze product data for studies on consumer behavior, market dynamics, or e-commerce trends. - **Business Automation**: Automate data feeds for inventory management, reporting, or integration with CRM systems. ### Installation and Usage 1. Search for "Dibdaa 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 product. Key fields include: - `title`: Product name. - `category`: Product category. - `product_id` and `sku`: Unique identifiers. - `condition`: Product condition (e.g., "New"). - `full_description`: Detailed product description. - `list_price`, `discount`, `current_price`: Pricing information. - `max_quantity`, `stock_text`: Availability details. - `rating_count`, `rating_percentage`, `sold_count`: Review and sales metrics. - `specifications`: Object with product specs like brand, size, warranty. - `last_updated`: Timestamp of data extraction. - `actor_id` and `run_id`: Apify-specific identifiers for tracking. Data is structured for easy parsing and analysis. ### 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 ## `CategoryUrl` (type: `array`): The category url for the spider. ## Actor input object example ```json { "CategoryUrl": [ "https://dibdaa.ae/productslist/detail/1038/Hair%20Accessories" ] } ``` # 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/dibdaa-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/dibdaa-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/dibdaa-productdetails-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/dibdaa-productdetails-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dibdaa Productdetails Spider", "description": "The Dibdaa Productdetails Spider scrapes comprehensive product data from Dibdaa.ae, including prices, stock, ratings, and specs. Ideal for market research and competitive analysis, it offers reliable, fast extraction with structured JSON output for easy integration.", "version": "0.0", "x-build-id": "yqhDZDeTQbqtfgu5C" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~dibdaa-productdetails-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-dibdaa-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~dibdaa-productdetails-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-dibdaa-productdetails-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~dibdaa-productdetails-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-dibdaa-productdetails-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "CategoryUrl": { "title": "Category Url", "minItems": 1, "type": "array", "description": "The category url for the spider.", "default": [ "https://dibdaa.ae/productslist/detail/1038/Hair%20Accessories" ], "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 } } } } } } } } } } ```