Liquidiv Reviews Spider

Introduction

The LiquidIV Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from LiquidIV product pages on their official website. It provides structured, high-quality data on product feedback, ratings, and user sentiments, enabling businesses and researchers to gain valuable insights into consumer opinions. This tool streamlines the process of gathering review data, saving time and effort while ensuring accuracy and reliability.

Features

• Comprehensive Review Extraction: Captures detailed review information including titles, content, ratings, and timestamps from specified LiquidIV product URLs.
• Sentiment Analysis: Automatically calculates sentiment scores for each review to gauge overall customer satisfaction.
• Verified Buyer Tracking: Identifies verified purchases to highlight authentic feedback.
• Product Variant Details: Extracts specific product attributes like size and flavor for targeted analysis.
• High Reliability: Built with robust error handling to ensure consistent data extraction even from dynamic web pages.
• Scalable Performance: Handles multiple URLs efficiently, supporting batch processing for large-scale data collection.
• JSON Output: Delivers clean, structured JSON data ready for integration into analytics tools or databases.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of URLs pointing to LiquidIV product pages from which to scrape reviews. Each URL must be a valid HTTP or HTTPS link.	["https://www.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692"]

Example Usage

Input Configuration

{
  "Urls": [
    "https://www.liquid-iv.com/products/pomegranate-punch-hydration-sugar-free-energy-multiplier?Flavor=Pomegranate+Punch&Size=14PK&selling_plan=21425094692"
  ]
}

Example Output

[
  {
    "Review_Id": 798754977,
    "Product_Id": "7987500253220",
    "Title": "Probably one of my favorite",
    "Content": "Probably one of my favorite flavors! Was surprised when I tried it and I have gotten a few others that agree it's really good!",
    "Rating": 5,
    "Verified_Buyer": true,
    "Created_At": "2026-01-13T01:48:36",
    "Sentiment": 0.9790651,
    "Is_Incentivized": false,
    "User_Name": "Jessica D.",
    "Product_Variants": {
      "Size": "14PK",
      "Flavor": "Pomegranate Punch"
    },
    "Country": "\ud83c\uddfa\ud83c\uddf8 United States",
    "actor_id": "9ADxA9VQTgv5MhW3i",
    "run_id": "sj9yhoIZcaaCVUsbZ"
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends in product preferences and satisfaction levels for LiquidIV beverages.
• Competitive Intelligence: Compare review data across similar hydration products to benchmark performance and uncover competitive advantages.
• Price Monitoring: Track user sentiments related to pricing and value, informing dynamic pricing strategies.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or social media campaigns.
• Academic Research: Study consumer behavior and sentiment in the health and wellness industry using real-world data.
• Business Automation: Integrate review data into dashboards for automated reporting on product performance and customer loyalty.

Installation and Usage

1. Search for "LiquidIV Reviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters by providing the list of 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 data in JSON format as an array of review objects. Each object includes fields such as Review_Id (unique identifier), Product_Id (associated product), Title and Content (review text), Rating (numerical score), Verified_Buyer (boolean for authenticity), Created_At (timestamp), Sentiment (analysis score), Is_Incentivized (incentive flag), User_Name, Product_Variants (size and flavor details), Country, and metadata like actor_id and run_id. This structured format ensures easy parsing and integration into downstream applications.

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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