PART 1: README.md

Gabb Reviews Scraper

Gabb Reviews Scraper is an Apify Actor designed to extract customer reviews from Gabb products efficiently and reliably. It leverages web scraping technology to gather detailed review data, including ratings, content, user information, and sentiment analysis, directly from Gabb's website. This tool is ideal for businesses, researchers, and analysts seeking insights into product performance and customer feedback without manual effort.

Features

• Comprehensive Review Extraction: Scrapes full review details such as scores, votes, content, titles, timestamps, and user profiles.
• Sentiment Analysis: Includes built-in sentiment scores and topic extraction for deeper insights.
• High Reliability: Handles dynamic web content with robust error handling and retries.
• Customizable Requests: Allows setting maximum requests per crawl to control data volume and avoid rate limits.
• Structured Output: Delivers data in clean JSON format, ready for analysis or integration.
• Fast and Scalable: Built on Apify's infrastructure for quick execution and handling large-scale scrapes.
• Privacy-Focused: Respects website terms and focuses on publicly available data.

Input Parameters

Parameter	Type	Required	Description	Example
productName	string	Yes	The name of the Gabb product to scrape reviews for. This should match the product's URL slug or identifier on Gabb's site.	"gabb-phone-4"
maxRequestsPerCrawl	integer	No	Maximum number of HTTP requests the crawler can make during the run. Helps manage costs and avoid overloading the target site. Default is 100.	50

Example Usage

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

{
  "productName": "gabb-phone-4",
  "maxRequestsPerCrawl": 100
}

Example output (truncated for brevity):

[
  {
    "id": 813392437,
    "score": 5,
    "votesUp": 1,
    "votesDown": 0,
    "content": "Great starter phone for my 10 year old. She loves the feeling of being a \u201cbig\u201d girl with her phone, but this is so locked down and safe for her age. I\u2019m terrible at tech, but even I can figure out how to monitor her activity and the access she has to apps, etc.",
    "title": "We love our Gabb!",
    "createdAt": "2026-02-24T22:52:34",
    "verifiedBuyer": false,
    "sentiment": 0.97863007,
    "isIncentivized": false,
    "incentiveType": null,
    "isShop": false,
    "topics": {
      "feels": {
        "name": "feels",
        "sentence": "She loves the feeling of being a \u201cbig\u201d girl with her phone, but this is so locked down and safe for her age."
      },
      "phone": {
        "name": "phone",
        "sentence": "Great starter phone for my 10 year old."
      },
      "gabb": {
        "name": "gabb",
        "sentence": "We love our Gabb!"
      },
      "girls": {
        "name": "girls",
        "sentence": "She loves the feeling of being a \u201cbig\u201d girl with her phone, but this is so locked down and safe for her age."
      }
    },
    "fieldsHighlights": null,
    "customFields": null,
    "metadata": null,
    "videosData": null,
    "imagesData": null,
    "comment": null,
    "user": {
      "userId": 66265611,
      "socialImage": null,
      "userType": "User",
      "isSocialConnected": 0,
      "displayName": "Catherine B."
    },
    "sourceReviewId": null,
    "syndicationData": null,
    "groupingData": null,
    "country": {
      "code": "US",
      "label": "\ud83c\uddfa\ud83c\uddf8 United States"
    },
    "productVariants": null,
    "language": "en",
    "translatedLanguage": null
  }
]

Use Cases

• Market Research: Analyze customer sentiment and trends for Gabb products to inform product development.
• Competitive Intelligence: Compare review data across similar products to identify strengths and weaknesses.
• Price Monitoring: Track review volumes and ratings to gauge market demand.
• Content Aggregation: Collect reviews for blogs, reports, or dashboards.
• Academic Research: Study consumer behavior in safe tech products.
• Business Automation: Integrate review data into CRM systems for customer insights.

Installation and Usage

1. Search for "Gabb Reviews Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., product name and max requests).
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:

• id: Unique review identifier.
• score: Rating out of 5.
• content: Full review text.
• title: Review title.
• createdAt: Timestamp in ISO format.
• sentiment: Numerical sentiment score (positive values indicate positivity).
• topics: Extracted topics with example sentences.
• user: Object with user details like ID and display name.
• country: Reviewer's country code and label.
• Other fields like verifiedBuyer, votesUp, and language provide additional context. Data is structured for easy parsing and analysis.

Error Handling

The Actor includes built-in error handling for common issues like network timeouts or invalid product names. If a product is not found, it logs an error and stops gracefully. For rate limiting, it respects delays between requests. Check the run logs for details on any failures.

Rate Limiting and Best Practices

Gabb's site may have rate limits; set maxRequestsPerCrawl conservatively (e.g., 50-100) to avoid blocks. Run during off-peak hours and avoid excessive concurrent runs. Best practices: Validate product names beforehand, use the Actor for targeted scrapes, and export data promptly to prevent storage issues.

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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PART 2: Concise Description

Unlock valuable customer insights with Gabb Reviews Scraper, the ultimate tool for extracting detailed reviews from Gabb products. Effortlessly scrape ratings, sentiments, topics, and user data in structured JSON format.

Key features include:

• Comprehensive review extraction with sentiment analysis
• Customizable request limits for efficient crawling
• High-reliability handling of dynamic content
• Ready-to-analyze output for quick integration

Perfect for market research, competitive analysis, and business intelligence. Start scraping today and gain the edge in understanding consumer feedback!

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