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 gather comprehensive data on fashion items, including prices, descriptions, images, and availability, directly from the retailer's website. This tool is ideal for e-commerce professionals, researchers, and businesses seeking accurate, structured data for market analysis and competitive intelligence. ## Features - Comprehensive Product Extraction: Retrieves detailed information such as product names, brands, descriptions, images, prices, and availability status. - Flexible Query Support: Accepts multiple search queries to target specific product categories or keywords. - High-Quality Data: Ensures reliable, schema-compliant output with structured JSON format for easy integration. - Fast and Scalable: Optimized for performance, handling large-scale extractions efficiently without compromising data integrity. - Error-Resilient: Built-in handling for common web scraping challenges like dynamic content and rate limits. - Apify Integration: Seamlessly runs on the Apify platform with real-time monitoring and export options. - Customizable Outputs: Supports JSON, CSV, and Excel formats for versatile data usage. ## Input Parameters | Parameter | Type | Required | Description | Example | |-----------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | Queries | Array | No | An array of search queries to perform on Neiman Marcus. Each query targets specific products or categories. | ["pants", "dresses"] | ## Example Usage To run the Actor, provide input in JSON format. Here's an example: json { "Queries": ["pants", "shoes"] } The Actor will process these queries and output structured product data. Example output: json [ { "name": "Sophie Pants", "brand": "A.L.C.", "images": [ "https://media.neimanmarcus.com/f_auto,q_auto:low,ar_4:5,c_fill,dpr_2.0,w_456/01/nm_5032095_100460_m", "https://media.neimanmarcus.com/f_auto,q_auto/01/nm_5032095_100460_m", "https://media.neimanmarcus.com/f_auto,q_auto:low,ar_4:5,c_fill,dpr_2.0,w_1200/01/nm_5032095_100460_m", "https://media.neimanmarcus.com/f_auto,q_auto:low,ar_4:5,c_fill,dpr_2.0,w_75/01/nm_5032095_100460_m" ], "description": "A.L.C. \"Sophie\" wool gabardine pants\u00a0 High rise\u00a0 Four-pocket style\u00a0 Slim fit with a subtle flare Full length Hook/zip fly; belt loops\u00a0 Wool/polyester/spandex Unlined Dry clean Imported", "url": "https://www.neimanmarcus.com/p/a-l-c-sophie-pants-prod281290155", "price": 495, "price_currency": "USD", "availability": "https://schema.org/InStock", "price_valid_until": "2026-11-09", "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": "6S1qSXEFHNZgwjCJz" } ] ## Use Cases - Market Research and Analysis: Analyze trends in fashion pricing and availability across categories. - Competitive Intelligence: Monitor competitors' product offerings and pricing strategies on Neiman Marcus. - Price Monitoring: Track price changes for specific items to inform purchasing or resale decisions. - Content Aggregation: Build databases of product descriptions and images for e-commerce platforms. - Academic Research: Study consumer behavior in luxury retail through structured data collection. - Business Automation: Automate data feeds for inventory management or marketing campaigns. ## 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 output is a JSON array of objects, each representing a product. Key fields include: - name: Product title. - brand: Manufacturer or designer. - images: Array of image URLs. - description: Detailed product info. - url: Direct link to the product page. - price: Numeric price value. - price_currency: Currency code (e.g., USD). - availability: Stock status using schema.org standards. - price_valid_until: Expiration date for the price. - return_policy: Object with return details. - actor_id and run_id: Metadata for tracking. This structured format ensures easy parsing and integration into databases or analytics tools. ## 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! --- Concise Description (248 characters): Unlock Neiman Marcus product data effortlessly! Extract names, prices, images, and descriptions from search results. Features fast scraping, structured JSON output, and multi-query support. Perfect for market research, price monitoring, and competitive analysis. Run now on Apify!