---

Kevsgem Reviews Spider

Introduction

The Kevsgem Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Kev's Gym websites. It efficiently gathers detailed review data, including author information, dates, content, and sources, enabling businesses to gain valuable insights into customer feedback. This tool streamlines the process of monitoring reviews, helping organizations improve service quality and customer satisfaction.

Features

• Efficient Scraping: Quickly extracts reviews from specified URLs, handling multiple pages and sources seamlessly.
• Structured Data Output: Provides clean, JSON-formatted data with key fields like author, date, content, and source for easy analysis.
• Multi-Source Support: Captures reviews from platforms such as Google and NiceJob, ensuring comprehensive data collection.
• Reliable Performance: Built for stability, with error handling to manage dynamic web content and potential site changes.
• Customizable Inputs: Allows users to specify target URLs, making it adaptable to different scraping needs.
• Fast Execution: Optimized for speed, delivering results in minutes for most runs.
• Apify Integration: Fully compatible with Apify's ecosystem for easy scheduling, monitoring, and data export.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of URLs to scrape reviews from. Each URL must be a valid HTTP or HTTPS link pointing to a reviews page.	["https://www.kevsgym.com/reviews/"]

Example Usage

Input Configuration

{
  "Urls": [
    "https://www.kevsgym.com/reviews/"
  ]
}

Output Example

[
  {
    "story_id": "610a6da9-22cb-4abc-86be-17e92234f165",
    "author": "Nelly Hunter",
    "date": "Apr 14",
    "content": "Highly recommended. Service and staff are great!",
    "source": "Google",
    "share_url": "https://nicejob.com/kevs-gym-llc/yjazafqr",
    "actor_id": "nMeCtTmTWqn8lPiGi",
    "run_id": "ZRYlM3gFrH6lQhnuC"
  },
  {
    "story_id": "e586aa60-eefd-4950-9d70-633b30714b1c",
    "author": "Margbe Mason",
    "date": "Apr 13",
    "content": "Kev's gym staff has been really reliable and offer excellent senior chair fitness. My residents love to workout with the instructors who comes with tons of energy and fun for them all.",
    "source": "NiceJob",
    "share_url": "https://nicejob.com/kevs-gym-llc/qryqx1tz",
    "actor_id": "nMeCtTmTWqn8lPiGi",
    "run_id": "ZRYlM3gFrH6lQhnuC"
  },
  {
    "story_id": "5cd25c5f-0321-417b-bbc3-804a01d9ad3e",
    "author": "Liza Blomquist",
    "date": "Mar 18",
    "content": "Great communication, flexible with scheduling, and great services that are perfect for residents in assisted living!",
    "source": "Google",
    "share_url": "https://nicejob.com/kevs-gym-llc/ygv1p4ta",
    "actor_id": "nMeCtTmTWqn8lPiGi",
    "run_id": "ZRYlM3gFrH6lQhnuC"
  }
]

Use Cases

• Market Research: Analyze customer sentiments to identify trends and preferences in the fitness industry.
• Competitive Intelligence: Compare reviews across similar gyms to benchmark performance and service quality.
• Customer Feedback Monitoring: Track ongoing reviews to address issues promptly and enhance user experience.
• Content Aggregation: Collect and compile review data for reports, blogs, or marketing materials.
• Academic Research: Gather real-world data for studies on customer satisfaction in health and wellness sectors.
• Business Automation: Automate review extraction for regular dashboards or alerts on new feedback.

Installation and Usage

1. Search for "Kevsgem Reviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., provide 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 objects. Each object represents a single review and includes the following fields:

• story_id: A unique identifier for the review.
• author: The name of the reviewer.
• date: The date the review was posted (e.g., "Apr 14").
• content: The full text of the review.
• source: The platform where the review was posted (e.g., "Google" or "NiceJob").
• share_url: A link to share or view the review.
• actor_id: The ID of the Apify Actor used for the run.
• run_id: The ID of the specific run instance.

This structured format ensures easy integration with databases, analytics tools, or further processing.

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!

---