# Ulta Reviews Actor (`getdataforme/ulta-reviews-actor`) Actor Ulta Reviews Actor efficiently scrapes customer reviews from Ulta product pages. Provide product URLs, proxy settings, and max review count; the Actor returns structured JSON with review ID, headline, comments, rating, date, nickname, and location. Perfect for sentiment analysis and market research. - **URL**: https://apify.com/getdataforme/ulta-reviews-actor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Developer tools - **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $20.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Reviews Actor ### Introduction The **Ulta Reviews Actor** is an Apify Actor designed to scrape customer reviews from Ulta product pages. It takes a list of product URLs, fetches up to a specified number of reviews per product, and returns structured JSON data containing each review’s details. --- ### Input Parameters | Parameter | Type | Required | Description | |-----------------------|-----------|:--------:|----------------------------------------------------------------------------------------------| | `itemLimit` | integer | Yes | Maximum number of reviews to retrieve per URL. | | `proxyConfiguration` | object | Yes | Configuration for using Apify Proxy or a custom proxy. | | └─ `useApifyProxy` | boolean | Yes | Whether to route requests through Apify Proxy. | | └─ `apifyProxyGroups` | string[] | No | List of Apify Proxy groups to use (e.g., `["RESIDENTIAL"]`). | | `urls` | string[] | Yes | Array of Ulta product page URLs to scrape reviews from. | **Example Input** ```json { "itemLimit": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "urls": [ "https://www.ulta.com/p/color-last-shampoo-color-treated-hair-pimprod2051409?sku=2637939" ] } ```` *** ### Features - **Configurable Review Limit**: Control the number of reviews fetched per product with `itemLimit`. - **Built‑in Proxy Support**: Seamlessly integrate with Apify Proxy to avoid IP blocking. - **Batch URL Processing**: Scrape reviews from multiple product pages in a single run. - **Structured JSON Output**: Receive clean, consistent data fields for easy downstream processing. - **Error Handling & Retries**: Automatically retries on transient network or parsing errors. *** ### Output The Actor returns a JSON array where each element represents a single review: ```json [ { "url": "https://…", "review_id": 553084363, "headline": "Best shampoo", "comments": "Biolage is the best shampoo, fresh smelling, leaves hair clean and manageable.", "rating": 5, "created_date": 1746746299147, "nickname": "Melia", "location": "San Diego" }, { "url": "https://…", "review_id": 553114513, "headline": "The best shampoo", "comments": "I love this shampoo. It always leaves my hair feeling and smelling great. I get the one for color treated hair. It protects my hair wonderfully.", "rating": 5, "created_date": 1746813993678, "nickname": "Heather", "location": "Fort Wayne Indiana" }, { "url": "https://…", "review_id": 553082020, "headline": "Not the same formula", "comments": "I buy enough stock to last an entire year so when I restocked this year, I found it strange that the bottle had changed and the formula is definitely different since I have last year's bottles on hand you can feel the difference in the product as well it doesn't foam up as much and it doesn't leave your hair feeling as smooth. Sadly, I'll be taking this product back and having to find a new one.", "rating": 1, "created_date": 1746741168459, "nickname": "Stephpdx", "location": "Portland" } ] ``` *** ### Possible Use Cases - **Sentiment Analysis** on product feedback over time. - **Competitor Monitoring** to compare customer satisfaction across brands. - **Market Research** for identifying popular or problematic product features. - **Customer Support Automation** by triaging negative reviews for prompt follow‑up. - **Data Aggregation** for dashboards, reports, or machine‑learning models. *** ### Support For bug reports or custom needs, contact: 📧 **** Or use our contact form: > *Please include a clear subject line in your message.* *** ``` ``` # Actor input Schema ## `urls` (type: `array`): A list of URLs of the web pages you want to scrape data from. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "urls": [ "https://www.ulta.com/p/color-last-shampoo-color-treated-hair-pimprod2051409?sku=2637939" ], "itemLimit": 20, "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 = { "urls": [ "https://www.ulta.com/p/color-last-shampoo-color-treated-hair-pimprod2051409?sku=2637939" ], "itemLimit": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/ulta-reviews-actor").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.ulta.com/p/color-last-shampoo-color-treated-hair-pimprod2051409?sku=2637939"], "itemLimit": 20, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/ulta-reviews-actor").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.ulta.com/p/color-last-shampoo-color-treated-hair-pimprod2051409?sku=2637939" ], "itemLimit": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/ulta-reviews-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/ulta-reviews-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ulta Reviews Actor", "description": "Ulta Reviews Actor efficiently scrapes customer reviews from Ulta product pages. Provide product URLs, proxy settings, and max review count; the Actor returns structured JSON with review ID, headline, comments, rating, date, nickname, and location. Perfect for sentiment analysis and market research.", "version": "0.0", "x-build-id": "bZA3mrMZjWLYKhe3E" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~ulta-reviews-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-ulta-reviews-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~ulta-reviews-actor/runs": { "post": { "operationId": "runs-sync-getdataforme-ulta-reviews-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~ulta-reviews-actor/run-sync": { "post": { "operationId": "run-sync-getdataforme-ulta-reviews-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "List of URLs of the ultaReviews pages", "type": "array", "description": "A list of URLs of the web pages you want to scrape data from.", "items": { "type": "string" } }, "itemLimit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "default": 20 }, "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 } } } } } } } } } } ```