# Liquidiv Urls Spider (`getdataforme/liquidiv-urls-spider`) Actor Extract detailed product data from Liquid IV URLs, including names, descriptions, images, pricing, and availability. This reliable Apify Actor provides structured JSON output for e-commerce analysis, featuring robust error handling, scalability, and schema compliance for easy integration. - **URL**: https://apify.com/getdataforme/liquidiv-urls-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, 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 ## Liquidiv Urls Spider ### Introduction The Liquidiv Urls Spider is a powerful Apify Actor designed to extract detailed product information from Liquid IV's website. It efficiently scrapes product data such as names, descriptions, images, pricing, and availability from specified URLs, enabling seamless data collection for e-commerce analysis. This tool is ideal for businesses and researchers needing accurate, structured data without manual effort. ### Features - **Targeted Scraping**: Precisely extracts product details from Liquid IV URLs, including names, descriptions, SKUs, and images. - **Structured Output**: Delivers clean, JSON-formatted data with offers, pricing, and availability status. - **High Reliability**: Built with robust error handling to ensure consistent data extraction even from dynamic web pages. - **Scalable Performance**: Handles multiple URLs efficiently, supporting batch processing for large-scale operations. - **Schema.org Compliance**: Outputs data aligned with standard schemas for easy integration into databases or analytics tools. - **User-Friendly Configuration**: Simple input setup with URL lists, requiring no coding expertise. - **Real-Time Monitoring**: Provides logs and progress tracking during runs for transparency and debugging. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | Array of strings | Yes (at least 1) | List of Liquid IV product URLs to scrape. Each URL must be a valid HTTP/HTTPS link. | ["https://www.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692"] | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://www.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692" ] } ```` #### Output Example ```json [ { "name": "Pomegranate Punch Hydration Sugar-Free Energy Multiplierยฎ", "description": "Recharge your flow with our NEW sugar-free formula. An electrifyingly tropical blend of candy guava, bold dark berry, and fresh pomegranate notes, finis...", "brand": "liv-bp-live", "sku": "LVEP-1406", "url": "https://www.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692", "images": [ "https://cdn.shopify.com/s/files/1/1338/1013/files/Web-PDPImage-EnergySFPG-Pouch-1600x1600_2x_a6644975-0a54-4911-b613-f78de8752f6c.png?v=1762182470" ], "offers": [ { "price": 24.99, "currency": "USD", "availability": "https://schema.org/InStock", "sku": "LVEP-1406", "url": "https://www.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692" } ], "actor_id": "pvlyVbwPhSyAQVrww", "run_id": "GK3IEThYb4ownZPI1" } ] ``` ### Use Cases - **Market Research**: Gather product data for analyzing trends in hydration supplements and competitor offerings. - **Price Monitoring**: Track pricing changes and availability to optimize e-commerce strategies. - **Content Aggregation**: Collect product descriptions and images for content creation or catalog building. - **Competitive Intelligence**: Compare Liquid IV products with similar brands for strategic insights. - **Academic Research**: Study consumer product data for studies on health and wellness markets. - **Business Automation**: Automate data feeds for inventory management or sales platforms. ### Installation and Usage 1. Search for "Liquidiv Urls 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: - `name`: Product title. - `description`: Detailed product info. - `brand`: Brand identifier. - `sku`: Stock-keeping unit. - `url`: Source URL. - `images`: Array of image URLs. - `offers`: Array of pricing and availability details, including price, currency, and stock status. - `actor_id` and `run_id`: Metadata 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://www.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692" ] } ``` # 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/liquidiv-urls-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/liquidiv-urls-spider").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 '{}' | apify call getdataforme/liquidiv-urls-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/liquidiv-urls-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Liquidiv Urls Spider", "description": "Extract detailed product data from Liquid IV URLs, including names, descriptions, images, pricing, and availability. This reliable Apify Actor provides structured JSON output for e-commerce analysis, featuring robust error handling, scalability, and schema compliance for easy integration.", "version": "0.0", "x-build-id": "hWi9HanUYUleoSu2X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~liquidiv-urls-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-liquidiv-urls-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~liquidiv-urls-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-liquidiv-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~liquidiv-urls-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-liquidiv-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692" ], "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 } } } } } } } } } } ```