Colesau Product Scraper

Introduction

The Colesau Product Scraper is a powerful Apify Actor designed to extract detailed product information from Coles Australia, one of the largest supermarket chains in the country. It efficiently scrapes data such as product names, descriptions, prices, images, and offers from specified URLs, delivering structured JSON output for easy integration into your workflows. This tool is ideal for businesses and researchers needing accurate, up-to-date product data without manual effort.

Features

• Comprehensive Data Extraction: Captures key product details including name, description, SKU, price, currency, images, brand, and offers.
• Structured JSON Output: Provides clean, machine-readable data in JSON format, perfect for APIs, databases, or analysis tools.
• Multiple URL Support: Handles an array of URLs, allowing batch scraping for efficiency.
• High Reliability: Built with robust error handling to ensure consistent performance even with varying page structures.
• Fast and Scalable: Optimized for speed, processing multiple products quickly while respecting rate limits.
• Apify Integration: Seamlessly runs on the Apify platform with easy configuration and monitoring.
• No Coding Required: User-friendly interface for non-technical users to set up and run extractions.

Input Parameters

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

Example Usage

To run the actor, provide input in JSON format. Here's an example:

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

The actor will output structured data like this:

[
  {
    "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": 2.5,
    "currency": "AUD",
    "images": [
      "https://shop.coles.com.au/wcsstore/Coles-CAS/images/5/9/0/5900530.jpg"
    ],
    "brand": "Coles",
    "offers": [
      {
        "price": 2.5,
        "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 analyze market trends.
• Competitive Intelligence: Compare Coles products with competitors for pricing strategies.
• Price Monitoring: Track price changes over time for specific items to inform purchasing decisions.
• Content Aggregation: Collect product details for e-commerce platforms or comparison sites.
• Academic Research: Study consumer goods data for studies on retail economics.
• Business Automation: Integrate scraped data into inventory management or sales forecasting systems.

Installation and Usage

1. Search for "Colesau Product Scraper" 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's full name.
• description: A detailed product description.
• sku: Stock Keeping Unit identifier.
• price: Current price as a number.
• currency: Currency code (e.g., AUD).
• images: Array of image URLs.
• brand: Product brand.
• offers: Array of offer objects with price, availability, and seller details.

This structure ensures easy parsing and use in downstream applications.

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!