Neimanmarcus Search Parser Spider

Introduction

The Neimanmarcus Search Parser Spider is a powerful Apify Actor designed to scrape and extract detailed product information from Neiman Marcus search results. It enables users to input search queries and retrieve structured data on products, including names, brands, prices, images, descriptions, and availability. This tool is ideal for e-commerce professionals, researchers, and businesses seeking efficient data collection from one of the premier luxury retail websites.

Features

• Comprehensive Data Extraction: Captures key product details such as name, brand, images, description, URL, price, currency, availability, and return policies.
• Multiple Query Support: Allows input of multiple search queries in a single run for batch processing.
• Structured JSON Output: Delivers clean, machine-readable data in JSON format, ready for integration into databases or analysis tools.
• High Reliability: Built with robust error handling to ensure consistent performance even with varying website structures.
• Fast and Scalable: Optimized for speed, handling large volumes of search results efficiently.
• Apify Integration: Seamlessly runs on the Apify platform with easy configuration and monitoring.
• Data Quality Assurance: Includes validation for fields like prices and availability to maintain accuracy.

Input Parameters

Parameter	Type	Required	Description	Example
Queries	array	No	An array of search query strings to perform on Neiman Marcus. Each query will be used to search for products.	["pants", "dresses"]

Example Usage

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

{
  "Queries": ["pants", "dresses"]
}

The Actor will process these queries and output product data. An example output for a query like "pants" might look like this:

[
  {
    "name": "Treeca Virgin Wool Flannel Cropped Pull-On Pants",
    "brand": "Theory",
    "images": [
      "//media.neimanmarcus.com/f_auto,q_auto:low,ar_4:5,c_fill,dpr_2.0,w_456/01/nm_4863003_100273_m",
      "//media.neimanmarcus.com/f_auto,q_auto/01/nm_4863003_100273_m",
      "//media.neimanmarcus.com/f_auto,q_auto:low,ar_4:5,c_fill,dpr_2.0,w_1200/01/nm_4863003_100273_m",
      "//media.neimanmarcus.com/f_auto,q_auto:low,ar_4:5,c_fill,dpr_2.0,w_75/01/nm_4863003_100273_m"
    ],
    "description": "Theory \"Treeca\" tailored pants in\u00a0flannel Approx. 26\" inseam Mid rise Elasticized back waist Side slip pockets; back welt pockets Cropped at the ankle Straight legs Pull-on style Virgin wool Imported Model is 5'10\"/177cm.",
    "url": "https://www.neimanmarcus.com/p/theory-treeca-virgin-wool-flannel-cropped-pull-on-pants-prod279810565",
    "price": 153,
    "price_currency": "USD",
    "availability": "https://schema.org/InStock",
    "price_valid_until": "2027-01-14",
    "return_policy": {
      "applicable_country": "US",
      "return_policy_country": "US",
      "category": "https://schema.org/MerchantReturnFiniteReturnWindow",
      "merchant_return_days": 30,
      "return_method": "https://schema.org/ReturnByMail",
      "return_fees": "https://schema.org/ReturnShippingFees"
    },
    "actor_id": "kK9fzpGCIBsryHIfH",
    "run_id": "YfoIDD9omZClz4o1O"
  }
]

Use Cases

• Market Research: Analyze trends in luxury fashion products by collecting data on popular items and pricing.
• Competitive Intelligence: Monitor competitors' offerings on Neiman Marcus to inform pricing and product strategies.
• Price Monitoring: Track price changes and availability for specific products to optimize purchasing decisions.
• Content Aggregation: Build databases of product descriptions and images for e-commerce platforms or catalogs.
• Academic Research: Gather data for studies on consumer behavior, fashion trends, or retail economics.
• Business Automation: Automate data feeds for inventory management or sales forecasting in retail operations.

Installation and Usage

1. Search for "Neimanmarcus Search Parser 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 representing a product. Key fields include:

• name: Product name (string).
• brand: Brand name (string).
• images: Array of image URLs (array of strings).
• description: Product description (string).
• url: Product page URL (string).
• price: Price value (number).
• price_currency: Currency code (string, e.g., "USD").
• availability: Stock status using Schema.org vocabulary (string).
• price_valid_until: Date until price is valid (string).
• return_policy: Object with return policy details (object).
• actor_id and run_id: Metadata for the Apify run (strings).

This structure 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!