Kmart Product Spider

Introduction

The Kmart Product Spider is a robust web scraping actor built on Python Scrapy, designed to extract detailed product information from Kmart's online store. It automates the collection of key data points like product names, prices, descriptions, and images, enabling efficient e-commerce data gathering. This tool is ideal for businesses and researchers needing reliable, structured data from Kmart without manual effort.

Features

• Comprehensive Data Extraction: Scrapes product titles, prices, descriptions, specifications, and image URLs.
• Batch Processing: Supports multiple URLs for simultaneous scraping to handle large datasets.
• Proxy Integration: Utilizes residential proxies to bypass restrictions and maintain anonymity.
• Dynamic Content Handling: Manages JavaScript-rendered pages for accurate data capture.
• Structured Output: Delivers clean JSON data for easy integration into workflows or databases.
• High Performance: Configurable concurrency for fast, scalable scraping.
• Error Resilience: Includes retry mechanisms and logging for robust operation.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	An array of Kmart product page URLs to scrape. Each URL should point to a specific product page.	["https://www.kmart.com.au/product/core-hoodie-s168393/?selectedSwatch=Gry%20Marle"]
proxyConfiguration	object	No	Configuration for proxy servers to mask the scraper's IP address and avoid blocking. Defaults to Apify's residential proxies.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input

{
  "Urls": [
    "https://www.kmart.com.au/product/core-hoodie-s168393/?selectedSwatch=Gry%20Marle"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

// No output available

Use Cases

• Market Research: Analyze product trends, pricing strategies, and inventory across Kmart's catalog.
• Competitive Intelligence: Compare Kmart products with competitors for pricing and feature insights.
• Price Monitoring: Track price changes and availability for e-commerce automation.
• Content Aggregation: Build product databases for comparison sites or affiliate marketing.
• Academic Research: Gather data on consumer goods for studies in economics or retail.
• Business Automation: Integrate scraped data into dashboards for inventory management or sales forecasting.

Installation and Usage

1. Search for "Kmart 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 format as an array of objects. Each object represents a scraped product and typically includes fields such as:

• url: The original product URL.
• title: The product name.
• price: Current price (including currency).
• description: Detailed product description.
• images: Array of image URLs.
• specifications: Key product specs (e.g., size, color). Additional fields may vary based on the product page. The output is clean and ready for parsing or export.

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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