Hellobello Reviews Spider

The Hellobello Reviews Spider is an Apify Actor designed to scrape and extract detailed product reviews from Hellobello's website. It efficiently gathers comprehensive review data, including ratings, content, author details, and timestamps, enabling users to analyze customer feedback and sentiment. This tool is essential for businesses, researchers, and analysts looking to gain insights into product performance and consumer opinions.

Features

• Comprehensive Data Extraction: Scrapes full review details such as ratings, titles, content, authors, dates, and moderation status from Hellobello product pages.
• Batch Processing: Supports multiple URLs for scraping reviews across various products in a single run.
• Configurable Limits: Allows setting a maximum number of items to process, ensuring controlled and efficient data collection.
• High Reliability: Built with robust error handling to manage website changes and ensure consistent results.
• Fast and Scalable: Optimized for performance, handling large volumes of data quickly and efficiently.
• Flexible Output: Provides JSON-formatted results that can be exported to CSV, Excel, or integrated into other systems.
• User-Friendly: Simple configuration through Apify's interface, with clear logging for monitoring progress.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	List of URLs to scrape reviews from. Each URL should point to a Hellobello product page.	["https://www.hellobello.com/products/baby-wipes"]
itemLimit	integer	No	Specifies the maximum number of review items to process. Set to 0 for unlimited (subject to Apify limits).	10

Example Usage

To run the actor, provide the input parameters in JSON format:

{
  "Urls": ["https://www.hellobello.com/products/baby-wipes"],
  "itemLimit": 10
}

Example output in JSON format:

[
  {
    "product_id": "6654900764731",
    "review_id": "376243437",
    "rating": 5,
    "title": "Worth the price",
    "content": "These diapers hold so much liquid! My baby can last all night without a leak. Adorable designs.",
    "author": "Alexefl",
    "date": "2026-01-13T22:02:21.000+00:00",
    "location": "Virginia",
    "is_recommended": true,
    "helpfulness": null,
    "total_feedback_count": 0,
    "total_positive_feedback_count": 0,
    "total_negative_feedback_count": 0,
    "moderation_status": "APPROVED",
    "submission_id": "r116905-en_17683417pNMnmKGoKK",
    "last_moderated_time": "2026-01-13T23:46:30.000+00:00",
    "last_modification_time": "2026-01-13T23:46:30.000+00:00",
    "campaign_id": "BV_PIE_MPR",
    "content_locale": "en_US",
    "is_featured": false,
    "is_syndicated": false
  }
]

Use Cases

• Market Research: Analyze customer reviews to identify trends, preferences, and pain points in baby products.
• Competitive Intelligence: Compare review data across similar products to benchmark performance.
• Price Monitoring: Track feedback related to pricing and value for informed pricing strategies.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or reports.
• Academic Research: Gather data for studies on consumer behavior and product satisfaction.
• Business Automation: Integrate review data into dashboards for automated reporting and decision-making.

Installation and Usage

1. Search for "Hellobello Reviews 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 data in JSON format as an array of review objects. Each object includes key fields such as product_id (unique product identifier), review_id (unique review ID), rating (numerical rating out of 5), title (review headline), content (full review text), author (reviewer's name), date (ISO timestamp of review), location (reviewer's location), is_recommended (boolean for recommendation), and additional metadata like moderation status and feedback counts. This structured format allows for easy parsing and analysis.

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!