# Neimanmarcus Search Parser Spider (`getdataforme/neimanmarcus-search-parser-spider`) Actor This Apify actor scrapes and extracts comprehensive product data from Neiman Marcus search results, including names, brands, prices, images, descriptions, and availability.... - **URL**: https://apify.com/getdataforme/neimanmarcus-search-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 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: ```json { "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: ```json [ { "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! # Actor input Schema ## `Queries` (type: `array`): The queries for the spider. ## Actor input object example ```json { "Queries": [ "pants" ] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/neimanmarcus-search-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/neimanmarcus-search-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/neimanmarcus-search-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/neimanmarcus-search-parser-spider" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/kK9fzpGCIBsryHIfH/builds/TvwU8S7bJ6tgFDusw/openapi.json