# Nordstrom Search Scraper (`moving_beacon-owner1/nordstrom-search-scraper`) Actor scrapes product listings from any Nordstrom.com search or category page. For each input URL, returns every product record visible on that page — id, brand, title, color/size variants, prices, images, web path, and the full nested data Nordstrom hydrates into its front-end. - **URL**: https://apify.com/moving\_beacon-owner1/nordstrom-search-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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/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 Search Scraper Scrapes product listings from any Nordstrom.com search or category page. For each input URL, returns every product record visible on that page — id, brand, title, color/size variants, prices, images, web path, and the full nested data Nordstrom hydrates into its front-end. ### Input | Field | Type | Required | Default | Notes | |---|---|---|---|---| | `searchUrls` | array of strings | yes | — | Nordstrom search or category URLs | | `maxPagesPerUrl` | integer | no | `1` | Each page returns up to ~80 products | | `proxyConfiguration` | proxy object | no | no proxy | UC Mode usually bypasses PerimeterX from datacenter IPs | | `headless` | boolean | no | `false` | UC Mode is more stealthy with the container's Xvfb display | #### Example input ```json { "searchUrls": [ "https://www.nordstrom.com/browse/women/clothing/dresses", "https://www.nordstrom.com/browse/men/clothing/jeans", "https://www.nordstrom.com/sr?keyword=running+shoes" ], "maxPagesPerUrl": 2 } ```` ### Output Each product is pushed to the default dataset as a separate record. The shape comes verbatim from Nordstrom's `productsById` object — typical keys include: ```json { "id": 7842931, "brandId": 4521, "brandName": "Theory", "sellingBrand": "Theory", "styleNumber": "B0501212", "copyProductTitle": "Wool Blend Sheath Dress", "copyDescription": "Clean lines and luxurious wool-blend fabric ...", "colorCount": 4, "colorDefaultId": "BLK001", "webPathAlias": "/s/theory-wool-blend-sheath-dress/7842931", "defaultCoreChoice": { "...": "..." }, "media": { "...": "carousels by color, with image URLs" }, "filters": { "color": { "byId": { "...": "..." } } }, "skus": { "byId": { "...": "all SKU variants with sizes" } }, "price": { "bySkuId": { "...": "per-SKU pricing" } }, "_searchUrl": "https://www.nordstrom.com/browse/women/clothing/dresses" } ``` The `_searchUrl` field is the only thing added by the actor — everything else comes straight from Nordstrom's internal data. A summary is written to the **key-value store** under `RUN_SUMMARY`: ```json { "total_items": 160, "urls_requested": ["...", "..."], "urls_failed": [], "max_pages_per_url": 2, "elapsed_seconds": 24.7 } ``` ### Where to find Nordstrom URLs Any Nordstrom search or browse page works. Examples: - `https://www.nordstrom.com/browse/women/clothing/dresses` - `https://www.nordstrom.com/browse/men/shoes/sneakers-athletic` - `https://www.nordstrom.com/browse/beauty/skincare` - `https://www.nordstrom.com/sr?keyword=cashmere+sweater` # Actor input Schema ## `searchUrls` (type: `array`): Nordstrom search or category-listing URLs. Examples: https://www.nordstrom.com/browse/women/clothing/dresses, https://www.nordstrom.com/sr?keyword=jeans. Each page typically returns ~80 products. ## `maxPagesPerUrl` (type: `integer`): How many pagination pages to walk per URL. Each page has up to ~80 products. ## `proxyConfiguration` (type: `object`): No proxy by default. Nordstrom is PerimeterX-protected; UC Mode usually handles this from datacenter IPs. If you start seeing the PerimeterX challenge page, switch to Apify Proxy (residential US works best). ## `headless` (type: `boolean`): Run Chrome in headless mode. Disable for better UC Mode stealth (uses Xvfb in container). ## Actor input object example ```json { "searchUrls": [ "https://www.nordstrom.com/browse/women/clothing/dresses", "https://www.nordstrom.com/browse/men/clothing/jeans" ], "maxPagesPerUrl": 1, "proxyConfiguration": { "useApifyProxy": false }, "headless": false } ``` # 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 = { "searchUrls": [ "https://www.nordstrom.com/browse/women/clothing/dresses", "https://www.nordstrom.com/browse/men/clothing/jeans" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/nordstrom-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 = { "searchUrls": [ "https://www.nordstrom.com/browse/women/clothing/dresses", "https://www.nordstrom.com/browse/men/clothing/jeans", ] } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/nordstrom-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 '{ "searchUrls": [ "https://www.nordstrom.com/browse/women/clothing/dresses", "https://www.nordstrom.com/browse/men/clothing/jeans" ] }' | apify call moving_beacon-owner1/nordstrom-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/nordstrom-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nordstrom Search Scraper", "description": "scrapes product listings from any Nordstrom.com search or category page. For each input URL, returns every product record visible on that page — id, brand, title, color/size variants, prices, images, web path, and the full nested data Nordstrom hydrates into its front-end.", "version": "0.0", "x-build-id": "pb00jb6NXsp4xw5Ia" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~nordstrom-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-nordstrom-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~nordstrom-search-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-nordstrom-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~nordstrom-search-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-nordstrom-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Nordstrom search/category URLs", "minItems": 1, "type": "array", "description": "Nordstrom search or category-listing URLs. Examples: https://www.nordstrom.com/browse/women/clothing/dresses, https://www.nordstrom.com/sr?keyword=jeans. Each page typically returns ~80 products.", "items": { "type": "string" } }, "maxPagesPerUrl": { "title": "Max pages per URL", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many pagination pages to walk per URL. Each page has up to ~80 products.", "default": 1 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "No proxy by default. Nordstrom is PerimeterX-protected; UC Mode usually handles this from datacenter IPs. If you start seeing the PerimeterX challenge page, switch to Apify Proxy (residential US works best).", "default": { "useApifyProxy": false } }, "headless": { "title": "Run headless", "type": "boolean", "description": "Run Chrome in headless mode. Disable for better UC Mode stealth (uses Xvfb in container).", "default": false } } }, "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 } } } } } } } } } } ```