Targus Parser Spider

Introduction

The Targus Parser Spider is a powerful Apify Actor designed to extract detailed product information from Targus product pages. It efficiently scrapes key data such as product names, descriptions, prices, images, and availability, making it an essential tool for e-commerce data collection. Whether you're conducting market research or monitoring competitors, this Actor delivers structured, reliable data to streamline your workflows.

Features

• Comprehensive Data Extraction: Captures essential product details including ID, name, SKU, brand, images, pricing, and availability.
• High Reliability: Built with robust error handling to ensure consistent data retrieval from Targus websites.
• Flexible Input: Accepts multiple product URLs for batch processing, ideal for large-scale scraping.
• Structured Output: Delivers clean JSON data conforming to schema.org standards for easy integration.
• Performance Optimized: Utilizes Apify's infrastructure for fast, scalable runs with minimal resource usage.
• User-Friendly: Simple configuration with clear input parameters and real-time logging for monitoring.
• Data Quality Assurance: Filters and validates extracted data to minimize errors and duplicates.

Input Parameters

Parameter	Type	Required	Description	Example
ProductUrls	array	Yes	A list of URLs pointing to Targus product pages to scrape. Must be valid HTTP/HTTPS URLs.	["https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl"]

Example Usage

To run the Targus Parser Spider, provide the input JSON as follows:

{
  "ProductUrls": [
    "https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl"
  ]
}

The Actor will output structured data like this:

[
  {
    "Product_ID": "https://us.targus.com/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl",
    "Name": "15-16" GeoLite EcoSmart\u00ae Slim Brief",
    "Description": "Understated style delivers confident carrying, with padded laptop protection in a thin-profile design.",
    "SKU": "TSS98402GL",
    "Brand": "Targus US",
    "Images": [
      "https://us.targus.com/cdn/shop/files/TSS98402GL_MAIN1_1200x.jpg?v=1759356881"
    ],
    "Offer_URL": "https://us.targus.com/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl?variant=42446403174448",
    "Price": "39.99",
    "Currency": "USD",
    "Price_Valid_Until": "2027-01-14",
    "Condition": "https://schema.org/NewCondition",
    "Availability": "http://schema.org/OutOfStock",
    "Seller": "Targus US",
    "Source_URL": "https://us.targus.com/collections/all/products/15-16-inch-geolite-ecosmart-slim-brief-tss98402gl",
    "actor_id": "tNCSpFFk3LhJ3RS3d",
    "run_id": "Pe4zSfbKbfOtIbVM2"
  }
]

Use Cases

• Market Research and Analysis: Gather product data to analyze trends, pricing strategies, and consumer preferences in the tech accessories market.
• Competitive Intelligence: Monitor Targus competitors by extracting similar product details for comparison and benchmarking.
• Price Monitoring: Track price changes and availability to optimize e-commerce strategies or alert on discounts.
• Content Aggregation: Collect product information for building catalogs, blogs, or affiliate marketing sites.
• Academic Research: Study e-commerce patterns, such as product availability and branding in the laptop accessory sector.
• Business Automation: Integrate scraped data into ERP systems or dashboards for automated inventory and sales reporting.

Installation and Usage

1. Search for "Targus Parser 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 output is an array of JSON objects, each representing a scraped product. Key fields include Product_ID (unique identifier), Name (product title), Description (detailed text), SKU (stock keeping unit), Brand (manufacturer), Images (array of image URLs), Offer_URL (direct purchase link), Price (numeric value), Currency (e.g., USD), Price_Valid_Until (expiration date), Condition (schema.org standard), Availability (stock status), Seller (vendor), Source_URL (original page), and metadata like actor_id and run_id. This structure ensures compatibility with e-commerce standards and easy parsing.

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!

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