Jshealth Reviews Spider

Introduction

The Jshealth Reviews Spider is a powerful Apify Actor designed to extract customer reviews from JSHealth Vitamins product pages. It efficiently scrapes detailed review data, including ratings, comments, user information, and sentiment analysis, enabling businesses and researchers to gain valuable insights into product performance and customer feedback. This tool is ideal for market analysis, competitive intelligence, and automating data collection from e-commerce platforms.

Features

• Comprehensive Review Extraction: Captures full review details such as scores, titles, content, timestamps, and user profiles from JSHealth product pages.
• Sentiment Analysis: Includes built-in sentiment scoring for each review to gauge overall customer satisfaction.
• High Reliability: Handles dynamic web content and ensures data accuracy with robust error handling and retries.
• Scalable Performance: Processes multiple product URLs concurrently, making it suitable for large-scale data extraction.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reporting systems.
• User-Friendly Configuration: Simple input setup with URL lists, requiring no coding expertise.
• Apify Integration: Seamlessly runs on the Apify platform with monitoring, scheduling, and export options.

Input Parameters

Parameter	Type	Required	Description	Example
ProductUrls	array	Yes	An array of URLs pointing to JSHealth product pages from which reviews will be scraped. Each URL must be a valid HTTP or HTTPS link.	["https://jshealthvitamins.com/products/hair-energy-formula"]

Example Usage

Input Configuration

{
  "ProductUrls": [
    "https://jshealthvitamins.com/products/hair-energy-formula",
    "https://jshealthvitamins.com/products/skin-clear-formula"
  ]
}

Example Output

[
  {
    "product_id": "6921002877000",
    "review_id": 549672649,
    "score": 5,
    "title": "Totally in love with these vitamins!",
    "content": "I\u2019ve been using the vitamins for over a month now and can already see results! Love the way my hair and skin feels and looks! Will definitely order again!",
    "created_at": "2024-01-17T14:19:56",
    "verified_buyer": true,
    "sentiment": 0.9904508,
    "user_display_name": "Victoria K.",
    "images": "https://cdn-yotpo-images-production.yotpo.com/Review/549672649/528481142/original.jpg?1708861735",
    "custom_fields": null,
    "actor_id": "qd6w6NWAc54aZyAA4",
    "run_id": "6GcHdwOE497wGRs5u"
  }
]

Use Cases

• Market Research and Analysis: Analyze customer sentiment and trends to inform product development and marketing strategies.
• Competitive Intelligence: Compare review data across similar products to identify strengths and weaknesses.
• Price Monitoring: Track customer feedback alongside pricing data for dynamic pricing adjustments.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or social media campaigns.
• Academic Research: Gather data for studies on consumer behavior and e-commerce trends.
• Business Automation: Automate the collection of review data for dashboards, reports, or CRM integrations.

Installation and Usage

1. Search for "Jshealth Reviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters by providing the list of product URLs.
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: Unique identifier for the product.
• review_id: Unique identifier for the review.
• score: Numerical rating (e.g., 1-5).
• title: Review headline.
• content: Full review text.
• created_at: Timestamp of the review.
• verified_buyer: Boolean indicating if the reviewer is verified.
• sentiment: Sentiment score (0-1, where higher is more positive).
• user_display_name: Reviewer's name.
• images: URL to any attached images.
• custom_fields: Additional metadata (often null).
• actor_id and run_id: Apify-specific identifiers for tracking.

This structured format ensures easy parsing and integration with other tools.

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!

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