# Dreft Urls Parser (`getdataforme/dreft-urls-parser`) Actor Extract detailed Dreft product data effortlessly with this Apify Actor. It scrapes names, descriptions, images, sizes, UPCs, SKUs, categories, and ratings from Dreft URLs, delivering structured JSON output.... - **URL**: https://apify.com/getdataforme/dreft-urls-parser.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Lead generation, E-commerce - **Stats:** 2 total users, 0 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 ## Dreft Urls Parser Dreft Urls Parser is an Apify Actor designed to scrape and extract detailed product information from Dreft.com URLs. It leverages CheerioCrawler to efficiently parse web pages, delivering structured data on laundry detergents and related products. This tool is ideal for e-commerce data extraction, enabling users to gather insights on product details, pricing, and availability without manual effort. ### Features - **Efficient Web Scraping**: Utilizes CheerioCrawler for fast and reliable parsing of Dreft product pages. - **Structured Data Extraction**: Captures key product attributes like name, description, images, sizes, UPC, SKU, and ratings. - **Customizable Inputs**: Supports multiple start URLs and configurable request limits for tailored crawls. - **High Data Quality**: Ensures accurate and consistent output with built-in error handling for missing data. - **Scalable Performance**: Handles up to 100 requests per crawl by default, with options for expansion. - **JSON Output**: Delivers clean, machine-readable data perfect for integration with other tools. - **Apify Integration**: Seamlessly runs on the Apify platform with easy monitoring and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | URLs to start the crawl with. Each URL should point to a Dreft product page. | [{"url": "https://www.dreft.com/en-us/shop-products/detergent-pacs/dreft-laundry-detergent-pacs-light-scent-lavender"}] | | maxRequestsPerCrawl | integer | No | Maximum number of requests the crawler can make. Helps control crawl scope and avoid overloading servers. | 100 | ### Example Usage To run the Actor, provide input in JSON format: ```json { "startUrls": [ { "url": "https://www.dreft.com/en-us/shop-products/detergent-pacs/dreft-laundry-detergent-pacs-light-scent-lavender" } ], "maxRequestsPerCrawl": 50 } ```` Example output in JSON: ```json [ { "name": "Dreft Detergent Pacs", "description": "The Dreftยฎ you love - now in convenient pacs.", "imageUrl": "https://images.ctfassets.net/sce666d9zh3m/3GiTJ8h9zNxGLy189ZL1mV/d0c6ba86364818f6bb9688804b076ee0/Dreft_Power_pod_00030772118672_20231208_PDP_packshot_DT_369x544.png", "sizes": [ "18 ct", "25 ct", "45 ct" ], "upc": "030772118689", "sku": "030772118689", "category": "Fabric Care | Power Pods | Power Pods", "productCategory": "Laundry", "productType": "Detergents", "productGroup": "US Dreft", "rating": "0/5" } ] ``` ### Use Cases - **Market Research**: Analyze Dreft product offerings to identify trends in laundry detergents. - **Competitive Intelligence**: Compare Dreft products with competitors by extracting detailed specs and pricing. - **Price Monitoring**: Track size variations and UPCs for dynamic pricing strategies. - **Content Aggregation**: Build databases of product images and descriptions for e-commerce platforms. - **Academic Research**: Study consumer product data for studies on household goods. - **Business Automation**: Automate data collection for inventory management or supplier analysis. ### Installation and Usage 1. Search for "Dreft Urls Parser" 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: - `name`: Product title. - `description`: Brief product overview. - `imageUrl`: URL to the product image. - `sizes`: Array of available package sizes. - `upc` and `sku`: Unique identifiers. - `category`, `productCategory`, `productType`, `productGroup`: Classification details. - `rating`: User rating (e.g., "0/5"). Data is extracted directly from page elements, ensuring fidelity to the source. ### 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! *** ### PART 2: Generate Description (Max 300 characters) Unlock precise Dreft product data with our Apify Actor! Extract names, descriptions, images, sizes, UPCs, and ratings from Dreft.com URLs effortlessly. Features fast CheerioCrawler scraping, customizable inputs, and JSON outputs for seamless integration. Perfect for market research, price monitoring, and competitive analysis. Start scraping todayโ€”try it free on Apify! (248 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.dreft.com/en-us/shop-products/detergent-pacs/dreft-laundry-detergent-pacs-light-scent-lavender" } ], "maxRequestsPerCrawl": 100 } ``` # 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://www.dreft.com/en-us/shop-products/detergent-pacs/dreft-laundry-detergent-pacs-light-scent-lavender" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/dreft-urls-parser").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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://www.dreft.com/en-us/shop-products/detergent-pacs/dreft-laundry-detergent-pacs-light-scent-lavender" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/dreft-urls-parser").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.dreft.com/en-us/shop-products/detergent-pacs/dreft-laundry-detergent-pacs-light-scent-lavender" } ] }' | apify call getdataforme/dreft-urls-parser --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/dreft-urls-parser", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Dreft Urls Parser", "description": "Extract detailed Dreft product data effortlessly with this Apify Actor. It scrapes names, descriptions, images, sizes, UPCs, SKUs, categories, and ratings from Dreft URLs, delivering structured JSON output....", "version": "0.0", "x-build-id": "XgPGeZvbAMAYLo1D4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~dreft-urls-parser/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-dreft-urls-parser", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~dreft-urls-parser/runs": { "post": { "operationId": "runs-sync-getdataforme-dreft-urls-parser", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~dreft-urls-parser/run-sync": { "post": { "operationId": "run-sync-getdataforme-dreft-urls-parser", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "startUrls" ], "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" } } } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler.", "default": 100 } } }, "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 } } } } } } } } } } ```