Description

The Newbalance Urls Spider is an Apify Actor that scrapes comprehensive product details from New Balance URLs, including names, prices, images, and availability....

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Newbalance Urls Spider

The Newbalance Urls Spider is a powerful Apify Actor designed to scrape detailed product information from New Balance website URLs. It extracts key data such as product names, prices, availability, images, and more, enabling efficient data collection for e-commerce analysis. This tool is ideal for businesses and researchers needing reliable, structured data from New Balance products without manual effort.

Features

• Comprehensive Data Extraction: Retrieves detailed product information including name, price, description, materials, and features from specified URLs.
• Multi-URL Support: Processes multiple New Balance product URLs in a single run for batch scraping.
• High Reliability: Built with robust error handling to ensure consistent data quality and minimal failures.
• Fast Performance: Optimized for quick scraping with efficient resource usage on the Apify platform.
• Structured Output: Delivers clean JSON data, ready for integration into databases, analytics tools, or reports.
• Scalable: Handles large volumes of URLs, making it suitable for enterprise-level data collection.
• User-Friendly: Simple input configuration with clear validation for seamless operation.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of New Balance product URLs to scrape. Each URL must be a valid HTTP or HTTPS link pointing to a product page.	["https://www.newbalance.com/pd/abzorb-2000/U2000V1-50934-PMG-NA.html"]

Example Usage

To use the Newbalance Urls Spider, provide the input parameters in JSON format. Here's an example:

Input JSON:

{
  "Urls": [
    "https://www.newbalance.com/pd/abzorb-2000/U2000V1-50934-PMG-NA.html"
  ]
}

Output JSON:

[
  {
    "url": "https://www.newbalance.com/pd/abzorb-2000/U2000V1-50934-PMG-NA.html",
    "product_id": null,
    "product_name": "",
    "brand": null,
    "price": null,
    "currency": "USD",
    "gender": null,
    "description": null,
    "weight": null,
    "style_number": null,
    "in_stock": false,
    "breadcrumbs": [],
    "colors": [],
    "available_sizes": [],
    "features": [],
    "material": null,
    "images": [],
    "variants": [],
    "actor_id": "jRJf2Acv6WYjY74jM",
    "run_id": "paTtyKcwlut9iN0fM"
  }
]

Use Cases

• Market Research and Analysis: Gather product details to analyze trends, pricing strategies, and consumer preferences in the footwear industry.
• Competitive Intelligence: Monitor New Balance offerings to compare with competitors and identify market gaps.
• Price Monitoring: Track price changes and availability for dynamic pricing adjustments in retail operations.
• Content Aggregation: Collect product images, descriptions, and features for building e-commerce catalogs or content sites.
• Academic Research: Extract data for studies on consumer goods, fashion trends, or supply chain analysis.
• Business Automation: Automate data feeds for inventory management, sales forecasting, or marketing campaigns.

Installation and Usage

1. Search for "Newbalance Urls 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, with each item representing a scraped product. Key fields include:

• url: The original product URL.
• product_name: The name of the product (may be empty if not found).
• price: The product's price (null if unavailable).
• currency: The currency code (e.g., "USD").
• in_stock: Boolean indicating stock availability.
• images: Array of image URLs.
• variants: Array of product variants.
• actor_id and run_id: Metadata for the Apify run.

Additional fields like description, features, and available_sizes provide further details. The output is an array of objects, one per input URL.

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!