Colesau Product Spider

Introduction

The Colesau Product Spider is a powerful Apify Actor designed to scrape detailed product information from Coles, Australia's leading supermarket chain. It extracts key data such as product names, descriptions, prices, images, and availability directly from product URLs, enabling efficient data collection for various business needs. This tool ensures reliable and structured data output, making it ideal for e-commerce analysis, price comparison, and market research.

Features

• Comprehensive Data Extraction: Scrapes essential product details including name, description, SKU, price, currency, images, brand, and offers.
• Flexible URL Input: Accepts multiple Coles product URLs for batch processing, allowing users to target specific items.
• High Reliability: Built with robust error handling to manage website changes and ensure consistent data retrieval.
• Structured JSON Output: Delivers clean, schema-compliant data in JSON format, ready for integration into databases or analytics tools.
• Fast and Scalable: Optimized for performance, handling multiple URLs efficiently without compromising speed.
• No Coding Required: User-friendly interface on Apify Store, with simple configuration for non-technical users.
• Real-Time Availability: Checks product stock status and offers, providing up-to-date information.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	A list of Coles product URLs to scrape. Each URL must be a valid HTTP/HTTPS link to a product page.	["https://www.coles.com.au/product/coles-hass-avocados-1-each-5900530"]

Example Usage

To run the Colesau Product Spider, provide input in JSON format like this:

{
  "Urls": [
    "https://www.coles.com.au/product/coles-hass-avocados-1-each-5900530"
  ]
}

The Actor will output structured data in JSON format, such as:

[
  {
    "name": "Coles Hass Avocados | 1 Each",
    "description": "Suddenly trendy and super versatile, Hass Avocado is not only great for taco Tuesday, its perfect for salad, pizza, desserts and of course the for the house deposit savvy, smashed avo on sourdough at home!",
    "sku": 5900530,
    "price": 2,
    "currency": "AUD",
    "images": [
      "https://shop.coles.com.au/wcsstore/Coles-CAS/images/5/9/0/5900530.jpg"
    ],
    "brand": "Coles",
    "offers": [
      {
        "price": 2,
        "currency": "AUD",
        "condition": "https://schema.org/NewCondition",
        "availability": "https://schema.org/InStock",
        "seller": "Coles",
        "url": "https://www.coles.com.au/product/coles-hass-avocados-1-each-5900530",
        "valid_until": null
      }
    ]
  }
]

Use Cases

• Market Research and Analysis: Gather data on product pricing and availability to identify trends in the Australian grocery market.
• Competitive Intelligence: Compare Coles products with competitors to inform pricing strategies and product positioning.
• Price Monitoring: Track price changes over time for specific items to optimize purchasing decisions or alert on discounts.
• Content Aggregation: Collect product descriptions and images for building catalogs or e-commerce platforms.
• Academic Research: Study consumer goods data for studies on food pricing, availability, and branding.
• Business Automation: Integrate scraped data into workflows for inventory management or automated reporting.

Installation and Usage

1. Search for "Colesau Product 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 data in JSON array format, where each object represents a scraped product. Key fields include:

• name: The product title.
• description: Detailed product information.
• sku: Unique stock-keeping unit identifier.
• price: Current price value.
• currency: Currency code (e.g., AUD).
• images: Array of image URLs.
• brand: Product brand name.
• offers: Array of offer objects with price, availability, seller, and URL details.

This structured format ensures 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!

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