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Whitehouseblackmarket Reviews Parser Spider

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Whitehouseblackmarket Reviews Parser Spider

Whitehouseblackmarket Reviews Parser Spider

This Apify Actor scrapes and parses customer reviews from White House Black Market product pages, extracting ratings, feedback, and contextual data like user demographics....

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

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2

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1

Monthly active users

4 days ago

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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

ParameterTypeRequiredDescriptionExample
UrlsarrayYesA 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:

{
"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:

[
{
"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:

We're here to help you get the most out of this Actor!