Vim Urls Spider

Introduction

Vim Urls Spider is a powerful Apify Actor designed to scrape product information from Vim's official website (vim.com.ar). It efficiently extracts detailed data such as product names, descriptions, branding details, social media links, and more from specified URLs. This tool is ideal for businesses and researchers needing accurate, structured data for market analysis, competitive intelligence, or content aggregation.

Features

• Comprehensive Data Extraction: Retrieves key product details including name, description, brand, logo, and social media handles from Vim product pages.
• High Reliability: Built with robust error handling to ensure consistent data quality, even with varying page structures.
• Fast and Scalable: Optimized for performance, handling multiple URLs quickly and supporting large-scale scraping tasks.
• Flexible Input: Accepts a list of URLs for targeted scraping, allowing customization for specific products or categories.
• Structured Output: Delivers clean JSON data, ready for integration into databases, analytics tools, or downstream applications.
• Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring, logging, and export options.
• No Coding Required: User-friendly interface for non-technical users to configure and run extractions effortlessly.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of URLs from vim.com.ar to scrape for product information. Each URL must be a valid HTTP or HTTPS link.	["https://www.vim.com.ar/productos/catalog/vim-lavandina-en-gel-citrus.html"]

Example Usage

Input Configuration

{
  "Urls": [
    "https://www.vim.com.ar/productos/catalog/vim-lavandina-en-gel-citrus.html"
  ]
}

Output Example

[
  {
    "name": "Vim Lavandina En Gel Citrus",
    "description": "Sea imparable con Vim y elimine los gérmenes desagradables con nuestra lejía espesa, geles de tocador y bloques de tocador, y aprenda sobre salud e higiene aquí.",
    "url": "https://www.vim.com.ar/productos/catalog/vim-lavandina-en-gel-citrus.html",
    "brand": "Vim",
    "logo": "https://www.vim.com.ar/images/h0nadbhvm6m4/4znPDaQJPEguGjg4PQ5VhF/e21369177cf7b185436bff6a68c1e84a/dmltLW1hc3Rlci1sb2dvLnBuZw/160w-136h/vim-logo.jpg",
    "instagram": "https://www.instagram.com/vimargentina/",
    "facebook": "https://www.facebook.com/VimArgentina/",
    "datetime": "2026-01-14T18:19:33.444527",
    "actor_id": "kxax2HdP3a0Q6C6p7",
    "run_id": "BYGQfqtWtlCVVz3hj"
  }
]

Use Cases

• Market Research and Analysis: Gather detailed product data to analyze trends, pricing, and consumer preferences in the cleaning products market.
• Competitive Intelligence: Monitor Vim's product offerings and branding to inform competitive strategies and identify market gaps.
• Price Monitoring: Track product descriptions and updates to detect changes in offerings or promotions.
• Content Aggregation: Collect structured data for building product catalogs, blogs, or e-commerce platforms.
• Academic Research: Extract data for studies on consumer goods, branding, or digital marketing in Latin America.
• Business Automation: Integrate scraped data into workflows for inventory management, reporting, or automated alerts on new products.

Installation and Usage

1. Search for "Vim 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: The product name (e.g., "Vim Lavandina En Gel Citrus").
• description: A detailed product description.
• url: The source URL.
• brand: The brand name (e.g., "Vim").
• logo: URL to the brand logo image.
• instagram and facebook: Social media links.
• datetime: Timestamp of the scrape.
• actor_id and run_id: Apify identifiers for tracking.

Data is clean and structured for easy parsing or 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!