# Downy Url Parser (`getdataforme/downy-url-parser`) Actor Effortlessly scrape and extract detailed product data from Downy.com URLs, including names, descriptions, images, ratings, and more. Supports batch processing, delivers clean JSON output, and handles errors reliably. Ideal for market research, competitive analysis, and e-commerce automation.... - **URL**: https://apify.com/getdataforme/downy-url-parser.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 3 total users, 2 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 ### PART 1: README.md ## Downy Url Parser The Downy Url Parser is a powerful Apify Actor designed to scrape and extract detailed product information from Downy.com URLs. It automates the collection of key product data such as names, descriptions, images, ratings, and more, enabling efficient data gathering for e-commerce analysis. This tool is ideal for businesses and researchers needing reliable, structured data from Downy's product pages without manual effort. ### Features - **Accurate Data Extraction**: Parses product details including brand, name, description, SKU, GTIN, ratings, and review counts with high precision. - **Flexible URL Handling**: Supports multiple start URLs for batch processing, allowing comprehensive crawling of Downy product pages. - **Performance Optimized**: Built on CheerioCrawler for fast, lightweight scraping with configurable request limits to avoid overload. - **Structured JSON Output**: Delivers clean, machine-readable data perfect for integration into databases, analytics tools, or APIs. - **Error-Resilient**: Includes built-in handling for common web scraping challenges like timeouts and invalid pages. - **Scalable and Reliable**: Designed for high-volume extractions while respecting site limits to ensure consistent performance. - **Easy Integration**: Seamlessly exports data in JSON, CSV, or Excel formats for downstream use. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | An array of URLs to start the crawling process. Each URL should point to a Downy product page. | `[{"url": "https://downy.com/en-us/fabric-softener/rinse-and-refresh/ocean-mist"}]` | | maxRequestsPerCrawl | integer | No | The maximum number of requests the crawler can make during a single run. Helps control resource usage and avoid rate limits. | `10` | ### Example Usage To run the Downy Url Parser, provide input parameters in JSON format. Here's an example input: ```json { "startUrls": [ { "url": "https://downy.com/en-us/fabric-softener/rinse-and-refresh/ocean-mist" } ], "maxRequestsPerCrawl": 10 } ```` This will initiate crawling and extraction. The output will be a JSON array of product objects, such as: ```json [ { "brand": "Downy US", "name": "Downy Rinse and Refresh Ocean Mist", "description": "Downy Rinse & Refresh Ocean Mist helps rinse away stubborn odor trapped within fabric fibers. Boost your detergent with Downy's refreshing Ocean Mist and banish odors once and for all.", "image": "https://images.ctfassets.net/9ycpqnc6ohsr/uiPtirCUb90phD8BD3dWn/b9fd7136249b20adb6ca8b6033bae090/80737163_GAPPER_OM_48_oz_582x444.png", "sku": "030772094242", "gtin": "030772094242", "rating": "4.230769230769231", "reviewCount": "13", "bestRating": "5", "worstRating": "1" } ] ``` ### Use Cases - **Market Research**: Analyze Downy product trends, pricing, and customer feedback to inform marketing strategies. - **Competitive Intelligence**: Compare Downy offerings with competitors by extracting detailed product specs and reviews. - **Price Monitoring**: Track product prices and availability for dynamic pricing models in e-commerce. - **Content Aggregation**: Build databases of product descriptions and images for content creation or catalog management. - **Academic Research**: Study consumer behavior through ratings and reviews from Downy products. - **Business Automation**: Automate data feeds for inventory systems or sales platforms requiring up-to-date product info. ### Installation and Usage 1. Search for "Downy Url 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 a JSON array of objects, each representing a scraped product. Key fields include: - `brand`: The product brand (e.g., "Downy US"). - `name`: Full product name. - `description`: Detailed product description. - `image`: URL to the product image. - `sku` and `gtin`: Unique identifiers for the product. - `rating`, `reviewCount`, `bestRating`, `worstRating`: Customer review metrics. Data is extracted directly from page elements, ensuring accuracy. If a field is unavailable, it may be omitted or set to null. ### 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: Description Extract precise product data from Downy.com effortlessly. Features accurate scraping of names, descriptions, ratings, and more; supports batch URLs; delivers clean JSON output. Perfect for market research, price monitoring, and competitive analysis. Run now on Apify Store! (148 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://downy.com/en-us/fabric-softener/rinse-and-refresh/ocean-mist" } ], "maxRequestsPerCrawl": 10 } ``` # 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://downy.com/en-us/fabric-softener/rinse-and-refresh/ocean-mist" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/downy-url-parser").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://downy.com/en-us/fabric-softener/rinse-and-refresh/ocean-mist" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/downy-url-parser").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://downy.com/en-us/fabric-softener/rinse-and-refresh/ocean-mist" } ] }' | apify call getdataforme/downy-url-parser --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/downy-url-parser", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Downy Url Parser", "description": "Effortlessly scrape and extract detailed product data from Downy.com URLs, including names, descriptions, images, ratings, and more. Supports batch processing, delivers clean JSON output, and handles errors reliably. Ideal for market research, competitive analysis, and e-commerce automation....", "version": "0.0", "x-build-id": "iRanPPOkdsyrneKGw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~downy-url-parser/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-downy-url-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~downy-url-parser/runs": { "post": { "operationId": "runs-sync-getdataforme-downy-url-parser", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~downy-url-parser/run-sync": { "post": { "operationId": "run-sync-getdataforme-downy-url-parser", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": 10 } } }, "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 } } } } } } } } } } ```