Description

Columbia Urls Spider is an Apify Actor that extracts comprehensive product data from Columbia.com URLs, including names, descriptions, pricing, variants, and availability....

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Columbia Urls Spider

Introduction

Columbia Urls Spider is a powerful Apify Actor designed to extract comprehensive product data from Columbia.com URLs. It efficiently scrapes detailed information including product names, descriptions, pricing, variants, and availability for outdoor apparel and gear. This tool is ideal for e-commerce professionals, researchers, and businesses needing accurate, structured data from Columbia's product pages.

Features

• Comprehensive Data Extraction: Captures product details, pricing, variants, images, and availability from Columbia.com.
• High Reliability: Handles dynamic content and ensures data accuracy with robust error handling.
• Scalable Performance: Processes multiple URLs concurrently for efficient bulk scraping.
• Structured Output: Delivers clean JSON data with all variants, prices, and metadata.
• Flexible Input: Accepts a list of URLs for targeted or batch scraping.
• Real-Time Availability: Includes stock status and pricing for each product variant.
• Easy Integration: Outputs data ready for analysis, databases, or APIs.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	Array of strings	Yes	List of Columbia.com product URLs to scrape. Must be valid HTTPS URLs.	["https://www.columbia.com/p/mens-watertight-ii-jacket-1533891.html?color=278"]

Example Usage

Input

{
  "Urls": [
    "https://www.columbia.com/p/mens-watertight-ii-jacket-1533891.html?color=278"
  ]
}

Output

[
  {
    "product_group_id": "1533891",
    "product_name": "Men\u2019s Watertight\u2122 II Jacket",
    "description": "A waterproof packable rain shell with fully sealed seams and breathable mesh lining.",
    "brand": "Columbia",
    "url": "https://www.columbia.com/p/mens-watertight-ii-jacket-1533891.html",
    "mpn": "1533891",
    "image": "https://media.columbia.com/i/columbia/1533891_278_f_om",
    "price_currency": "USD",
    "low_price": "70.00",
    "high_price": "70.00",
    "offer_count": 58,
    "variants": [
      {
        "sku": "195981070989",
        "variant_name": "Men\u2019s Watertight\u2122 II Jacket - 012, M",
        "color": "012",
        "size": "M",
        "price": "70.00",
        "currency": "USD",
        "availability": "https://schema.org/InStock",
        "variant_url": "https://www.columbia.com/p/mens-watertight-ii-jacket-1533891.html?color=012&size=M",
        "image": "https://media.columbia.com/i/columbia/1533891_278_f_om",
        "mpn": "1533891"
      }
    ],
    "breadcrumbs": [
      {
        "position": 1,
        "name": "Home",
        "url": "https://www.columbia.com/"
      }
    ],
    "actor_id": "cvywfnyAdUrLHx4eM",
    "run_id": "SbaU1iCVHgjhsKtRb"
  }
]

Use Cases

• Market Research: Analyze pricing trends and product availability across Columbia's catalog.
• Competitive Intelligence: Compare Columbia products with competitors for strategic insights.
• Price Monitoring: Track price changes and discounts for e-commerce optimization.
• Content Aggregation: Build databases of outdoor gear for blogs or apps.
• Academic Research: Study consumer trends in outdoor apparel.
• Business Automation: Automate data feeds for inventory management systems.

Installation and Usage

1. Search for "Columbia Urls Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters by adding URLs.
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 a JSON array of objects, each representing a scraped product. Key fields include product_group_id, product_name, description, brand, url, mpn, image, pricing details (price_currency, low_price, high_price, offer_count), and a variants array with detailed variant information (SKU, name, color, size, price, availability, URL, image, MPN). Additional fields like breadcrumbs, actor_id, and run_id provide context and metadata.

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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