Gabb Productreviews Spider

Introduction

The Gabb Productreviews Spider is a powerful Apify Actor designed to scrape and extract detailed product reviews from Gabb Wireless websites, such as the Gabb Watch product pages. It provides comprehensive review data including ratings, sentiments, and topics, enabling users to gain valuable insights into customer feedback. This tool is ideal for businesses, researchers, and developers seeking to analyze product performance and user experiences efficiently.

Features

• Comprehensive Review Extraction: Captures full review details like ratings, titles, text, sentiments, and metadata from Gabb product pages.
• Sentiment Analysis: Automatically analyzes and scores the sentiment of each review for quick emotional insights.
• Topic Detection: Identifies key topics mentioned in reviews, such as battery life or app features, for thematic analysis.
• High Reliability: Built with robust error handling to ensure consistent data extraction even from dynamic web content.
• Scalable Performance: Handles multiple URLs efficiently, supporting batch processing for large-scale data collection.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports.
• Apify Integration: Seamlessly runs on the Apify platform with easy configuration and monitoring.

Input Parameters

Parameter	Type	Required	Description	Example
start_urls	array	No	List of start URLs for the spider to begin scraping product reviews. Each URL should point to a Gabb product page.	["https://gabb.com/gabb-watch"]

Example Usage

To run the Gabb Productreviews Spider, configure the input with your desired start URLs. Here's an example input JSON:

{
  "start_urls": [
    "https://gabb.com/gabb-watch"
  ]
}

The Actor will process the URLs and output a list of review objects. Below is an example of the output JSON:

[
  {
    "Product_SKU": "gabb-watch-3e-gray",
    "Review_ID": 796089647,
    "Rating": 4,
    "Title": "Great for communication!",
    "Review_Text": "We got this watch for our 8 year old daughter. She is becoming more and more independent and I love being able to communicate with her, and see where she is when she is at a playdate or running off with the neighbors! We are also loving the app for tasks, earning coins to take care of her little pets! \nThe only downfall we have noticed since using it is she does not get service at grandmas house, and the battery doesn\u2019t last all day if we have a long day.",
    "Sentiment": 0.97321796,
    "Verified_Buyer": false,
    "Votes_Up": 5,
    "Votes_Down": 0,
    "Created_At": "2026-01-03T17:40:37",
    "Reviewer_Name": "Elyssa B.",
    "Country": "\ud83c\uddfa\ud83c\uddf8 United States",
    "Language": "en",
    "Topics": {
      "service": {
        "name": "service",
        "sentence": "The only downfall we have noticed since using it is she does not get service at grandmas house, and the battery doesn\u2019t last all day if we have a long day."
      },
      "battery": {
        "name": "battery",
        "sentence": "The only downfall we have noticed since using it is she does not get service at grandmas house, and the battery doesn\u2019t last all day if we have a long day."
      },
      "pet": {
        "name": "pet",
        "sentence": "We are also loving the app for tasks, earning coins to take care of her little pets!"
      },
      "apps": {
        "name": "apps",
        "sentence": "We are also loving the app for tasks, earning coins to take care of her little pets!"
      }
    },
    "actor_id": "6oJzcGflHjKilLCl4",
    "run_id": "nj5UcFMJClFFlZGOT"
  }
]

Use Cases

• Market Research: Analyze customer sentiments and ratings to understand market trends for Gabb products.
• Competitive Intelligence: Compare review data with competitors to identify strengths and weaknesses.
• Product Development: Use topic detection to gather feedback on specific features like battery life or apps.
• Customer Support: Monitor reviews for common complaints to improve service quality.
• Academic Research: Collect data for studies on consumer behavior in tech products for kids.
• Business Automation: Integrate review data into dashboards for automated reporting and alerts.

Installation and Usage

1. Search for "Gabb Productreviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters, such as adding start 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 output is a JSON array of review objects. Each object includes fields like Product_SKU (unique product identifier), Review_ID (unique review ID), Rating (1-5 scale), Title and Review_Text (content), Sentiment (score from -1 to 1), Verified_Buyer (boolean), Votes_Up/Down (user votes), Created_At (timestamp), Reviewer_Name, Country, Language, and Topics (object with detected themes and example sentences). Additional metadata like actor_id and run_id are included for tracking.

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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