# Whitehouseblackmarket Reviews Parser Spider (`getdataforme/whitehouseblackmarket-reviews-parser-spider`) Actor This Apify Actor scrapes and parses customer reviews from White House Black Market product pages, extracting ratings, feedback, and contextual data like user demographics.... - **URL**: https://apify.com/getdataforme/whitehouseblackmarket-reviews-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ### Description This Apify Actor scrapes and parses customer reviews from White House Black Market product pages, extracting ratings, feedback, and contextual data like user demographics.... --- ### Whitehouseblackmarket Reviews Parser Spider This Apify Actor is designed to scrape and parse customer reviews from White House Black Market product pages. It extracts detailed review data, including ratings, user feedback, and contextual information, enabling efficient data collection for analysis and insights. Whether you're conducting market research or monitoring product sentiment, this tool provides reliable, structured output to streamline your workflows. #### Features - **Comprehensive Review Extraction**: Captures full review details such as titles, bodies, scores, and timestamps from product pages. - **User and Contextual Data**: Includes reviewer usernames, user IDs, and additional context like body type, age, and event type for deeper insights. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval even from dynamic web content. - **Scalable Performance**: Handles multiple URLs efficiently, supporting batch processing for large-scale scraping. - **Structured JSON Output**: Delivers clean, machine-readable data ideal for integration with analytics tools or databases. - **Apify Integration**: Seamlessly runs on the Apify platform with built-in monitoring and export options. - **Ethical Scraping**: Respects website terms by mimicking human browsing behavior to avoid detection. #### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | A list of URLs pointing to White House Black Market product pages from which to scrape reviews. Each URL must be a valid HTTP or HTTPS link. | ["https://www.whitehouseblackmarket.com/store/product/corset-poplin-midi-dress/570408965?inseam=regular&sizeType=regular&color=7431&catId=search&collectionId=search&queryId=b36b12a69beb9bae41b8ba97ac22f4fc&indexName=prod_whbm_products&parentId=196535270336"] | #### Example Usage To run the Actor, provide the input parameters in JSON format: ```json { "Urls": [ "https://www.whitehouseblackmarket.com/store/product/corset-poplin-midi-dress/570408965?inseam=regular&sizeType=regular&color=7431&catId=search&collectionId=search&queryId=b36b12a69beb9bae41b8ba97ac22f4fc&indexName=prod_whbm_products&parentId=196535270336" ] } ```` Example output in JSON format: ```json [ { "product_id": "570408965", "product_name": "Corset Poplin Midi Dress", "product_slug": "corset-poplin-midi-dress", "review_id": "299839830", "review_title": "I thought this dress was so pretty!", "review_body": "I loved this dress when I first saw it and I was so pleased that there was a sale and I had a reward...so I was able to purchase it before Easter. Very Pretty!", "review_created": "2026-04-02T17:00:07.000+00:00", "review_score": 5, "review_is_recommended": true, "review_is_ratings_only": false, "review_helpfulness": null, "review_total_feedback_count": 0, "review_total_positive_feedback_count": 0, "review_context_data_values": { "Weight": { "Value": "121_140", "Id": "Weight" }, "BodyType": { "Value": "LongAndLean", "Id": "BodyType" } }, "review_total_negative_feedback_count": 0, "review_total_comment_count": 0, "review_client_responses": [], "user_id": "3292411814", "reciewer_user_name": "kkacz", "user_url": null, "actor_id": "T1mm9N6g5wn2rG71o", "run_id": "hAiA39WrNI0TnXDLy" }, { "product_id": "570408965", "product_name": "Corset Poplin Midi Dress", "product_slug": "corset-poplin-midi-dress", "review_id": "299587436", "review_title": "Beautiful summer dress", "review_body": "Every spring/summer season new variations of this dress is released and I never give it a second thought, until now! My stylist suggested …coaxed… me to try it on “just for her” - WOW! it’s beautiful. The fit in the bust/torso area provides a pleasing silhouette without appearing compressed and flat. For reference, I’m 5’2”/111#/34B. My normal dress size is 2 which was perfect. The dress has a high waist line, so we added the cognac reversible belt and the rattan straw belt for 2 unique looks. The length fell mid-calf (29” inseam) so I will need to have it shortened approx. 2”. I have the off-white shrug from season’s past that goes well with it. The big plus for me in purchasing this dress is the quality of craftsmanship. The skirt portion is lined with a deep 3” hem that keeps the wind from catching it. I have white sandals, but for a complete coordinated look the new blush sandals looks great.", "review_created": "2026-03-23T03:54:23.000+00:00", "review_score": 5, "review_is_recommended": true, "review_is_ratings_only": false, "review_helpfulness": 1, "review_total_feedback_count": 3, "review_total_positive_feedback_count": 3, "review_context_data_values": { "WhbmEmployee": { "Value": "No", "Id": "WhbmEmployee" }, "EventType": { "Value": "DailyWear", "Id": "EventType" }, "BodyType": { "Value": "Average", "Id": "BodyType" } }, "review_total_negative_feedback_count": 0, "review_total_comment_count": 0, "review_client_responses": [], "user_id": "3266407122", "reciewer_user_name": "Aiko", "user_url": null, "actor_id": "T1mm9N6g5wn2rG71o", "run_id": "hAiA39WrNI0TnXDLy" }, { "product_id": "570406223", "product_name": "Corset Poplin Midi Dress", "product_slug": "corset-poplin-midi-dress", "review_id": "299519836", "review_title": null, "review_body": "I am in love with this dress! I ordered a size 0 and it's a perfect fit. The length hits at my mid calf and the material is great quality. For reference I'm 5'-3\", 120 lb, 34\" bust 27\" waist 36.5\" hip", "review_created": "2026-03-19T15:34:47.000+00:00", "review_score": 5, "review_is_recommended": true, "review_is_ratings_only": false, "review_helpfulness": 1, "review_total_feedback_count": 1, "review_total_positive_feedback_count": 1, "review_context_data_values": { "WhbmEmployee": { "Value": "No", "Id": "WhbmEmployee" }, "Age": { "Value": "30s", "Id": "Age" }, "EventType": { "Value": "DailyWear", "Id": "EventType" } }, "review_total_negative_feedback_count": 0, "review_total_comment_count": 0, "review_client_responses": [], "user_id": "z2zzr50g5vb6fumn3uctwhm3qr", "reciewer_user_name": "April248", "user_url": null, "actor_id": "T1mm9N6g5wn2rG71o", "run_id": "hAiA39WrNI0TnXDLy" } ] ``` #### Use Cases - **Market Research**: Analyze customer sentiment and trends across White House Black Market products to inform product development. - **Competitive Intelligence**: Compare review data with competitors to identify strengths and weaknesses in fashion offerings. - **Price Monitoring**: Track review scores alongside pricing to assess value perceptions. - **Content Aggregation**: Collect user-generated content for social media campaigns or blog posts. - **Academic Research**: Study consumer behavior in e-commerce, focusing on demographics like age and body type. - **Business Automation**: Automate data pipelines for dashboards that visualize review metrics in real-time. #### Installation and Usage 1. Search for "Whitehouseblackmarket Reviews Parser Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters. 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 an array of JSON objects, each representing a single review. Key fields include `product_id`, `product_name`, `review_id`, `review_title`, `review_body`, `review_created` (timestamp), `review_score` (1-5 rating), `review_is_recommended` (boolean), and `review_context_data_values` (object with user-provided details like weight or event type). Additional metadata such as `user_id`, `reciewer_user_name`, and feedback counts are also included for comprehensive analysis. #### Error Handling The Actor includes built-in error handling for common issues like invalid URLs, network timeouts, or page structure changes. If a URL fails, it logs the error and continues with other URLs. For persistent issues, check the run logs on Apify for details. #### Rate Limiting and Best Practices To avoid overloading the target website, the Actor respects rate limits by introducing delays between requests. Best practices include limiting URLs to 10-20 per run for optimal performance, using valid product page URLs only, and running during off-peak hours. Monitor Apify's usage to stay within platform limits. #### Limitations - Only scrapes reviews from specified product URLs; does not handle category or search pages. - Dependent on website structure; major changes may require updates. - Contextual data availability varies by review; not all fields are always present. ### 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 ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://www.whitehouseblackmarket.com/store/product/corset-poplin-midi-dress/570408965?inseam=regular&sizeType=regular&color=7431&catId=search&collectionId=search&queryId=b36b12a69beb9bae41b8ba97ac22f4fc&indexName=prod_whbm_products&parentId=196535270336" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/whitehouseblackmarket-reviews-parser-spider").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 = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/whitehouseblackmarket-reviews-parser-spider").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 '{}' | apify call getdataforme/whitehouseblackmarket-reviews-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/whitehouseblackmarket-reviews-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Whitehouseblackmarket Reviews Parser Spider", "description": "This Apify Actor scrapes and parses customer reviews from White House Black Market product pages, extracting ratings, feedback, and contextual data like user demographics....", "version": "0.0", "x-build-id": "LU1Mfd1HbRFDEIf43" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~whitehouseblackmarket-reviews-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-whitehouseblackmarket-reviews-parser-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~whitehouseblackmarket-reviews-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-whitehouseblackmarket-reviews-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~whitehouseblackmarket-reviews-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-whitehouseblackmarket-reviews-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.whitehouseblackmarket.com/store/product/corset-poplin-midi-dress/570408965?inseam=regular&sizeType=regular&color=7431&catId=search&collectionId=search&queryId=b36b12a69beb9bae41b8ba97ac22f4fc&indexName=prod_whbm_products&parentId=196535270336" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```