# Ulta Scraper (`autofacts/ulta-scraper`) Actor Ulta web scraper to crawl product information including price and sale price, color, and images. - **URL**: https://apify.com/autofacts/ulta-scraper.md - **Developed by:** [Richard Feng](https://apify.com/autofacts) (community) - **Categories:** Developer tools, E-commerce, Automation - **Stats:** 30 total users, 2 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 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 ## Ulta Scraper **Ulta Scraper** provide a way to crawl product details of site Ulta. ### Features 1. Support fetch products of category; 2. Support fetch product detail with prices,descriptions,images and sku info; 3. Group skus in same product. > The price values are multiplied by 100 to avoiding floating point calculations. ### Input Parameters The input of this scraper shoule be JSON formated. Fields are: | Field | Type | Description | |:--------------------|:--------|:-----------------------------------------------------------------------------------------------------| | startUrls | Array | Start URLs of Ulta site to start the scraper. Category page, product page urls are all supported. | | proxy | Object | Select proxies to be used by your crawler. `RESIDENTIAL` is recommended for batch fetch. | | maxConcurrency | Object | Actor running max concurrency, which helps you to not getting blocked. | | maxRequestsPerCrawl | Integer | Maximum number of requests that can be made by this crawler, 0 to ignore. | ### Supported Pages Supported of fetch data from below pages: | Page | Example | |:--------------------|:---------------------------------------------------------------------------------------------------| | Product Detail Page | https://www.ulta.com/p/studio-fix-powder-plus-foundation-makeup-xlsImpprod15921242?sku=2510752 | | Category Page | https://www.ulta.com/shop/makeup/face | | Brand Page | https://www.ulta.com/brand/ulta-beauty-collection | | Sale Page | https://www.ulta.com/promotion/sale | ### Data storage Ulta scraper stores the product data to default data set in JSON format. ```json { "source": { "id": "pimprod2048637", "crawlUrl": "https://www.ulta.com/p/radiance-conscious-beauty-kit-pimprod2048637?sku=2630776", "canonicalUrl": "https://www.ulta.com/p/radiance-conscious-beauty-kit-pimprod2048637?sku=2630776", "retailer": "ulta", "currency": "USD" }, "brand": "Beauty Finds by ULTA Beauty", "title": "Radiance Conscious Beauty Kit", "description": { "short_desc": "Unwrap Radiance with Our Beauty Kit! Celebrate the season with the ultimate gift of clean beauty. Our beauty kit features luxurious, eco-friendly products designed to nourish and glow.", "full_desc": "#### Includes\n\n- Bubble, Skincare Day Dream Tone + Texture Serum Vitamin C + Niacinamide (0.17 oz)\n- Dermalogica, Special Cleansing Gel (0.5 oz)\n- House Of Lashes, Boudoir Lite Full False Lashes (1 pair)\n- Lolavie, Glossing Detangler (0.85 oz)\n- Nemat, Vanilla Musk Roll-On Fragrance Oil (0.17 oz)\n- β€˜Γ”rǝbella, NIGHTCAP Parfum (0.05 oz)\n- Peace Out, Acne Dots (4 dot patches)\n- PΓΌr Beauty, Fully Charged Mascara Powered By Magnetic Technology Mini (0.14 oz)\n- St. Tropez, St. Tropez Self Tan Purity Bronzing Water Face Mist (0.47 oz)\n- Sunday Riley, Good Genes All-In-One Lactic Acid Treatment (0.17 oz)\n- Thayers, Thayers PH Cleanser (3.0 oz)\n- Viviscal, Thickening Conditioner (1.7 oz)\n- Viviscal, Thickening Shampoo (1.7 oz)\n\n" }, "categories": [ "Gifts", "By Price", "$50 and Under" ], "options": [], "variants": [ { "id": "2630776", "sku": "2630776", "options": [], "price": { "list": 4000, "listFormatted": "$40.00", "sale": 2400, "stockStatus": "InStock" }, "medias": [ { "id": "2630776", "type": "Image", "url": "https://media.ulta.com/i/ulta/2630776", "alt": "Beauty Finds by ULTA Beauty Radiance Conscious Beauty Kit #1", "width": 2000, "height": 2000 }, { "id": "2630776_alt01", "type": "Image", "url": "https://media.ulta.com/i/ulta/2630776_alt01", "alt": "Beauty Finds by ULTA Beauty Radiance Conscious Beauty Kit #2", "width": 2000, "height": 2000 } ] } ], "stats": { "rating": 4.4, "reviewCount": 7 }, "price": { "sale": 2400, "list": 4000, "listFormatted": "$40.00", "stockStatus": "InStock" } } ```` # Actor input Schema ## `startUrls` (type: `array`): Start URLs of Ulta to start the actor. Category page, product page urls are all supported. ## `maxRequestsPerCrawl` (type: `integer`): Maximum number of requests that can be made by this crawler, 0 to ignore. ## `proxy` (type: `object`): Select proxies to be used by your crawler. ## `maxConcurrency` (type: `integer`): Actor running max concurrency, which helps you to not getting blocked. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.ulta.com/shop/new-beauty-products?category=hair" } ], "maxRequestsPerCrawl": 10, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" }, "maxConcurrency": 5 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.ulta.com/shop/new-beauty-products?category=hair" } ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" }, "maxConcurrency": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("autofacts/ulta-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "startUrls": [{ "url": "https://www.ulta.com/shop/new-beauty-products?category=hair" }], "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, "maxConcurrency": 5, } # Run the Actor and wait for it to finish run = client.actor("autofacts/ulta-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.ulta.com/shop/new-beauty-products?category=hair" } ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" }, "maxConcurrency": 5 }' | apify call autofacts/ulta-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=autofacts/ulta-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ulta Scraper", "description": "Ulta web scraper to crawl product information including price and sale price, color, and images.", "version": "0.1", "x-build-id": "wNsiKQaM7rgTDk6B8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/autofacts~ulta-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-autofacts-ulta-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/autofacts~ulta-scraper/runs": { "post": { "operationId": "runs-sync-autofacts-ulta-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/autofacts~ulta-scraper/run-sync": { "post": { "operationId": "run-sync-autofacts-ulta-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Ulta start urls", "type": "array", "description": "Start URLs of Ulta to start the actor. Category page, product page urls are all supported.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxRequestsPerCrawl": { "title": "Max Requests per Crawl", "type": "integer", "description": "Maximum number of requests that can be made by this crawler, 0 to ignore.", "default": 10 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." }, "maxConcurrency": { "title": "Actor max concurrency", "minimum": 1, "maximum": 100, "type": "integer", "description": "Actor running max concurrency, which helps you to not getting blocked.", "default": 5 } } }, "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 } } } } } } } } } } ```