# Nordstrom Product Full Data Scraper (`getdataforme/nordstrom-product-full-data-scraper`) Actor The Nordstrom Product Scraper is an Apify Actor that extracts comprehensive product details from Nordstrom, including prices, descriptions, images, sizes, colors, and reviews.... - **URL**: https://apify.com/getdataforme/nordstrom-product-full-data-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $18.00 / 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 Product Scraper ### Introduction The Nordstrom Product Scraper is a powerful Apify Actor designed to extract detailed product information from Nordstrom's website. It efficiently scrapes data such as product names, prices, descriptions, images, and availability, enabling users to gather valuable insights for e-commerce analysis. This tool is ideal for businesses, researchers, and developers seeking automated, reliable data collection from one of the leading fashion retailers. ### Features - **Comprehensive Data Extraction**: Scrapes key product details including titles, prices, descriptions, images, sizes, colors, and reviews. - **High Reliability**: Built with robust error handling to ensure consistent performance even with dynamic web changes. - **Scalable Performance**: Handles multiple product URLs concurrently, supporting large-scale scraping tasks. - **Customizable Inputs**: Accepts a list of product URLs for targeted scraping, allowing flexibility in data collection. - **JSON Output**: Delivers clean, structured data in JSON format, ready for integration into databases or analytics tools. - **Apify Integration**: Seamlessly runs on the Apify platform with built-in monitoring and scheduling capabilities. - **Ethical Scraping**: Respects website terms and includes rate limiting to avoid overloading servers. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|--------|----------|-----------------------------------------------------------------------------|---------| | ProductUrls | array | No | A list of Nordstrom product URLs to scrape. Each URL should point to a specific product page. | ["https://www.nordstrom.com/s/studio-luxe-high-waist-7-8-leggings/7460996?origin=coordinating-7460996-0-3-HP_SALE-recbot-best_sellers_new_visitor_sale&recs_placement=HP_SALE&recs_strategy=best_sellers_new_visitor_sale&recs_source=recbot&recs_page_type=home&recs_seed=0&color=BLACK"] | ### Example Usage To run the Actor, provide input in JSON format. Here's an example: ```json { "ProductUrls": [ "https://www.nordstrom.com/s/studio-luxe-high-waist-7-8-leggings/7460996?origin=coordinating-7460996-0-3-HP_SALE-recbot-best_sellers_new_visitor_sale&recs_placement=HP_SALE&recs_strategy=best_sellers_new_visitor_sale&recs_source=recbot&recs_page_type=home&recs_seed=0&color=BLACK" ] } ```` Example output (note: actual output may vary based on the product): ```json { { "raw_data": { "serviceGeneratedTimestamp": 1778222374000, "channel": { "channelCountry": "US", "channelBrand": "NORDSTROM", "sellingChannel": "ONLINE" }, "sellingControls": [ { "start": 1777532400000, "end": 1779001140000, "eventId": "", "productAttributes": { "isOnlinePurchasable": true, "isViewableOnline": true, "isFinalSale": false, "isPrivateSale": false, "isUnilateralMinimumAdvertisedPrice": false, "isBuyNowEligible": true, "skuFilterGroups": [ { "type": "color", "caption": "Color", "selections": [ { "name": "MAUVE", "group": "PINK TONES", "code": "690", "availableSkus": [ "A9815473", "A9815474", ........................ see more } ``` ### Use Cases - **Market Research**: Analyze pricing trends and product popularity across Nordstrom's catalog. - **Competitive Intelligence**: Compare Nordstrom products with competitors for strategic insights. - **Price Monitoring**: Track price changes and sales for inventory management. - **Content Aggregation**: Build product databases for e-commerce platforms or blogs. - **Academic Research**: Study consumer trends in fashion and retail. - **Business Automation**: Automate data feeds for dashboards or reporting tools. ### Installation and Usage 1. Search for "Nordstrom Product Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters by providing the list of ProductUrls. 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 is in RAW JSON format, with each scraped product represented as an object ### Error Handling The Actor includes built-in error handling for common issues like invalid URLs, network timeouts, or page changes. If a URL fails, it logs the error and continues with others. Check the run logs for details on failures. For persistent issues, ensure URLs are valid and Nordstrom's site is accessible. ### Rate Limiting and Best Practices To respect Nordstrom's servers, the Actor implements rate limiting (e.g., delays between requests). Best practices include: - Limit to 10-20 URLs per run to avoid overloading. - Schedule runs during off-peak hours. - Use proxies if needed for large-scale scraping. - Monitor Apify usage to stay within limits. ### Limitations - Only scrapes publicly available data; does not access restricted or logged-in content. - Output may vary with site updates; test regularly. - Not intended for real-time scraping; best for batch processing. ### 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 ## `ProductUrls` (type: `array`): The product urls for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "ProductUrls": [ "https://www.nordstrom.com/s/studio-luxe-high-waist-7-8-leggings/7460996?origin=coordinating-7460996-0-3-HP_SALE-recbot-best_sellers_new_visitor_sale&recs_placement=HP_SALE&recs_strategy=best_sellers_new_visitor_sale&recs_source=recbot&recs_page_type=home&recs_seed=0&color=BLACK" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/nordstrom-product-full-data-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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("getdataforme/nordstrom-product-full-data-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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/nordstrom-product-full-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/nordstrom-product-full-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nordstrom Product Full Data Scraper", "description": "The Nordstrom Product Scraper is an Apify Actor that extracts comprehensive product details from Nordstrom, including prices, descriptions, images, sizes, colors, and reviews....", "version": "0.0", "x-build-id": "yVg7q0jvEeIvo2qbH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~nordstrom-product-full-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-nordstrom-product-full-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~nordstrom-product-full-data-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-nordstrom-product-full-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~nordstrom-product-full-data-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-nordstrom-product-full-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ProductUrls": { "title": "Product Urls", "type": "array", "description": "The product urls for the spider.", "default": [ "https://www.nordstrom.com/s/studio-luxe-high-waist-7-8-leggings/7460996?origin=coordinating-7460996-0-3-HP_SALE-recbot-best_sellers_new_visitor_sale&recs_placement=HP_SALE&recs_strategy=best_sellers_new_visitor_sale&recs_source=recbot&recs_page_type=home&recs_seed=0&color=BLACK" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```