# Nordstromrack Product Search Scraper (`stealth_mode/nordstromrack-product-search-scraper`) Actor Scrape Nordstrom Rack product listings with detailed brand, pricing, and review data. This scraper extracts product titles, descriptions, core products, brands, and 13+ fields from search results — perfect for price monitoring, market research, and competitive analysis. - **URL**: https://apify.com/stealth\_mode/nordstromrack-product-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Nordstrom Rack Product Search Scraper: Scrape Fashion & Apparel Data at Scale --- ### What Is Nordstrom Rack? Nordstrom Rack is the off-price retail division of Nordstrom, specializing in discounted designer fashion, accessories, shoes, and home goods. The platform attracts millions of shoppers annually and updates inventory constantly. Manually tracking products, prices, and stock across categories is impractical — the **Nordstrom Rack Product Search Scraper** automates data collection from search result pages, enabling real-time market intelligence. --- ### Overview The **Nordstrom Rack Product Search Scraper** extracts product listings from Nordstrom Rack's search results, turning category and search pages into structured datasets. It is ideal for: - **Price monitoring services** tracking discounts and competitor offerings - **E-commerce researchers** analyzing fashion retail trends - **Inventory analysts** mapping product availability by category - **Data scientists** building recommendation and pricing models - **Retailers** benchmarking their product positioning against Nordstrom Rack The scraper is built for scale — supporting pagination and bulk URL processing with configurable item limits and robust error handling. --- ### Input Format The scraper accepts a JSON configuration object: ```json { "urls": [ "https://www.nordstromrack.com/shop/women?breadcrumb=Home%2FWomen&origin=topnav" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` | Field | Type | Description | |---|---|---| | `urls` | Array | Product search page URLs from Nordstrom Rack (e.g., category, search results, filter parameters) | | `max_items_per_url` | Integer | Maximum products scraped per URL (e.g., `200` for full category extraction) | | `ignore_url_failures` | Boolean | If `true`, continues execution even if some URLs fail; if `false`, stops on first failure | #### URL Examples ``` https://www.nordstromrack.com/shop/women https://www.nordstromrack.com/shop/men/shoes?breadcrumb=Home%2FMen%2FShoes https://www.nordstromrack.com/search?query=dresses ``` > **Tip:** Copy URLs directly from your browser after applying filters (category, brand, price range). The scraper handles pagination automatically. *** ### Output Format #### Sample Output Record ```json { "id": "4152948", "selling_brand": "NORDSTROM_RACK", "legacy_style_group_id": "5022992", "web_path_alias": "birkenstock-arizona-essentials-waterproof-slide-sandalwomen", "copy_product_title": "Arizona Essentials Waterproof Slide Sandal(Women)", "copy_description": "", "default_core_choice": "444446WUFC", "label_id": "255", "label_display_name": "Birkenstock", "propositions": [ { "as_of": "2026-06-25T02:52:55.59Z", "salability": { "status": "SELLABLE", "sellable_audiences": [], "previewable_audiences": [] }, "availability": { "is_pick_and_not_ship": false, "ship_quantity": 31562, "market_pick_quantity": 31562, "pick_quantity": 26124, "fulfillment_channels": [ { "type": "NORDSTROM_RACK", "is_ship_available": true, "is_market_pick_available": true, "is_pick_available": true, "nodes": [ { "id": "224", "type": "RK", "is_ship_available": true, "is_market_pick_available": true, "is_pick_available": true } ] } ] }, "selling_retail_price_range": { "min": "29.96", "max": "49.95" }, "selling_retail_percentage_off_range": { "min": 0, "max": 40 }, "clearance_price_range": { "min": "29.96", "max": "29.96" }, "clearance_percentage_off_base_retail_range": { "min": 40, "max": 40 }, "clearance_percentage_off_compare_at_retail_range": { "min": 40, "max": 40 }, "base_retail_price_range": { "min": "49.95", "max": "49.95" }, "base_retail_percentage_off_compare_at_retail_range": { "min": 0, "max": 0 }, "compare_at_retail_price_range": { "min": "49.95", "max": "49.95" }, "enticement_tags": [], "services": [ { "type": "EMAIL_GIFT_MESSAGE", "fulfillment_channel": "NORDSTROM_RACK" }, { "type": "EMAIL_GIFT_MESSAGE", "fulfillment_channel": "FULFILLMENT_CENTER" }, { "type": "EMAIL_GIFT_MESSAGE", "fulfillment_channel": "DROPSHIP" }, { "type": "EMAIL_GIFT_MESSAGE", "fulfillment_channel": "ECONCESSION" } ], "selling_event_ids": [], "core_choice_selections": [ { "core_choice_id": "444446WUFC", "sellable_skus": [ "91470229", "91470232", "91470227", "91470228", "91470231", "91470230" ] }, { "core_choice_id": "444446WUFF", "sellable_skus": [ "13715732", "13715701", "13715702", "13715730" ] }, { "core_choice_id": "444446WUFH", "sellable_skus": [ "39957695", "39957724", "39957693", "39957721", "39957694", "39957723" ] }, { "core_choice_id": "44444F3HP6", "sellable_skus": [ "A8031441", "A8031447", "A8031442", "A8031410", "A8031443", "A8031444" ] }, { "core_choice_id": "44444F3HNL", "sellable_skus": [ "A2686460", "A2686471", "A2686465", "A2686459", "A2686462", "A2686461" ] }, { "core_choice_id": "44444F3HNM", "sellable_skus": [ "A2680528", "A2680531", "A2680529", "A2680530" ] }, { "core_choice_id": "44444GHFNL", "sellable_skus": [ "B0992321", "B0992322", "B0992319", "B0992318", "B0992320" ] }, { "core_choice_id": "44444F3HNY", "sellable_skus": [ "5066692", "5066691", "5066694", "5066690", "5066693" ] }, { "core_choice_id": "44444F3HPC", "sellable_skus": [ "39957622", "39957624", "39957626", "39957625", "39957623" ] }, { "core_choice_id": "444446WUFG", "sellable_skus": [ "A5026875", "A5026873" ] }, { "core_choice_id": "44444F3HPE", "sellable_skus": [ "A8031496", "A8031495", "A8031406", "A8031497", "A8031493", "A8031494" ] }, { "core_choice_id": "444446WUFJ", "sellable_skus": [ "29001431", "29001432", "29001433", "29001428", "29001429", "29001430" ] }, { "core_choice_id": "444446WUFE", "sellable_skus": [ "91470225", "91470224", "91470223", "91470222", "91470226" ] }, { "core_choice_id": "44444F3HNP", "sellable_skus": [ "A7284327", "A7284325", "A7284323", "A7284326", "A7282536", "A7284324" ] }, { "core_choice_id": "44444GHN24", "sellable_skus": [ "B0992338", "B0992339", "B0992335", "B0992336", "B0992340", "B0992337" ] }, { "core_choice_id": "444446WUFD", "sellable_skus": [ "16086564", "16086565", "16086563", "16086562", "16086566" ] }, { "core_choice_id": "44444F3HPD", "sellable_skus": [ "A4882803", "A4882845", "A4882847", "A4882846", "A4882848", "A4882849" ] }, { "core_choice_id": "44444F3HPJ", "sellable_skus": [ "5380100", "5380109", "5380099", "5380110" ] } ], "is_unilateral_minimum_advertised_price": false } ], "core_products": [ { "core_product_id": "333334SGRD", "core_choices": [], "is_customization_required": "NO", "npt_hierarchy": "npt.shoes.sandals", "gender": { "code": "FEM", "label": "Female" }, "water_resistance": { "code": "WTRPRF", "label": "Waterproof" }, "meets_nordstrom_natural_beauty_requirements": "NOT_PROVIDED" } ], "partner_relationships": {}, "reviews": { "number_of_reviews": 2815, "average_rating": 4.5, "maximum_rating": 5, "secondary_ratings": [] }, "from_url": "https://www.nordstromrack.com/shop/women?breadcrumb=Home%2FWomen&origin=topnav" } ``` Each scraped product returns a comprehensive record with 13+ fields: #### Product Identification | Field | Meaning | Example | |---|---|---| | `ID` | Unique product identifier in Nordstrom Rack's system | `"12345678"` | | `Web Path Alias` | Product URL slug or path identifier | `"shop/women/dresses/12345"` | | `Copy Product Title` | Official product name as displayed | `"Calvin Klein Fit Sheath Dress"` | #### Brand & Product Classification | Field | Meaning | Example | |---|---|---| | `Selling Brand` | Brand name of the product | `"Calvin Klein"` | | `Legacy Style Group ID` | Internal grouping identifier for product families | `"SGP-88901"` | | `Default Core Choice` | Default variant selected (e.g., color, size) | `"Black"` | #### Product Details & Descriptions | Field | Meaning | Example | |---|---|---| | `Copy Description` | Full product description, including materials, care instructions, and features | `"Sleek sheath silhouette in breathable cotton blend. Machine wash..."` | | `Label ID` | Internal label/collection identifier | `"LABEL-556"` | | `Label Display Name` | Customer-facing label or collection name | `"Nordstrom Rack Exclusive"` or `"New Arrival"` | #### Product Structure & Relationships | Field | Meaning | Example | |---|---|---| | `Core Products` | Related base products or variants within the same SKU family | `["12345-BLACK-M", "12345-BLACK-L", "12345-NAVY-M"]` | | `Propositions` | Unique selling propositions or marketing claims | `["Premium Material", "Machine Washable", "Sustainable"]` | | `Partner Relationships` | Third-party partnerships or integrations tied to the product | `["Gift Registry Partner", "Size Match Service"]` | #### Customer Engagement | Field | Meaning | Example | |---|---|---| | `Reviews` | Aggregated customer review data including rating, count, and sentiment | `{"average_rating": 4.5, "total_reviews": 324, "percentage_recommended": 92}` | *** ### How to Use 1. **Identify target pages** — Navigate to Nordstrom Rack and find the category, search result, or filter page you want to scrape (e.g., Women > Dresses, Men > Shoes). 2. **Copy the URL** — Copy the full URL from your browser address bar, including any filters or breadcrumb parameters. 3. **Prepare input** — Paste the URL into the `urls` array. Repeat for multiple categories or searches. 4. **Set limits** — Adjust `max_items_per_url` (e.g., `200` for full category, `50` for quick sampling). 5. **Enable error tolerance** — Set `ignore_url_failures: true` for bulk runs to skip unreachable pages. 6. **Execute** — Start the scraper and monitor progress in the run log. 7. **Export data** — Download results as JSON, CSV, or Excel for analysis. **Best practices:** - Use category URLs for consistent, high-volume data collection (e.g., `shop/women`, `shop/men/shoes`). - Combine filters for targeted scraping (price range, brand, style). - For large datasets, split URLs across multiple runs to avoid timeouts. - Check `Reviews` field completeness — some older listings may have limited review data. *** ### Use Cases & Business Value - **Price intelligence:** Monitor competitor pricing, discounts, and promotional timing - **Trend analysis:** Track which brands, styles, and categories are gaining visibility - **Inventory insights:** Understand product mix and availability patterns by category - **Recommendation engines:** Build datasets for ML models predicting customer preferences - **Market research:** Analyze off-price retail strategies and product positioning The scraper delivers clean, ready-to-analyze data that normally requires hours of manual work. Integrate the output directly into spreadsheets, databases, or BI dashboards. *** ### Handling Common Scenarios **Q: Why are some reviews missing?**\ A: Newly listed or slow-selling products may have limited review data. The scraper returns available data; you can filter null values downstream. **Q: How do I scrape multiple categories?**\ A: Add multiple URLs to the `urls` array — one for each category or search filter you want to capture. **Q: What if a URL times out?**\ A: Set `ignore_url_failures: true` to skip failed URLs and continue with others. Check the run log for details on which URLs failed. *** ### Conclusion The **Nordstrom Rack Product Search Scraper** is your gateway to structured, actionable product data from one of retail's largest off-price platforms. Whether you're monitoring prices, analyzing trends, or building datasets, this scraper delivers at scale — turning browsing into business intelligence. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.nordstromrack.com/shop/women?breadcrumb=Home%2FWomen&origin=topnav" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.nordstromrack.com/shop/women?breadcrumb=Home%2FWomen&origin=topnav" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/nordstromrack-product-search-scraper").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 = { "urls": ["https://www.nordstromrack.com/shop/women?breadcrumb=Home%2FWomen&origin=topnav"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/nordstromrack-product-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.nordstromrack.com/shop/women?breadcrumb=Home%2FWomen&origin=topnav" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/nordstromrack-product-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/nordstromrack-product-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nordstromrack Product Search Scraper", "description": "Scrape Nordstrom Rack product listings with detailed brand, pricing, and review data. This scraper extracts product titles, descriptions, core products, brands, and 13+ fields from search results — perfect for price monitoring, market research, and competitive analysis.", "version": "0.0", "x-build-id": "yBRoljy3lOaWzWW28" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~nordstromrack-product-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-nordstromrack-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~nordstromrack-product-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-nordstromrack-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~nordstromrack-product-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-nordstromrack-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "URLs of the product search list urls to scrape", "type": "array", "description": "Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```