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Description

This Apify Actor scrapes comprehensive reviews from Clover app marketplace listings, capturing ratings, feedback, and metadata for insightful market analysis and competitive intelligence....

Clover Apps Reviews Spider

Introduction

The Clover Apps Reviews Spider is a powerful Apify Actor designed to scrape and extract detailed reviews from Clover app marketplace listings. It automates the collection of user feedback, ratings, and metadata for apps on the Clover platform, enabling businesses and researchers to gain valuable insights into app performance and user sentiment. By providing structured, reliable data, this tool streamlines market analysis and competitive intelligence gathering.

Features

• Comprehensive Review Extraction: Captures full review details including ratings, titles, bodies, dates, and reviewer information from Clover app pages.
• High Reliability: Built with robust error handling and retry mechanisms to ensure consistent data collection even from dynamic web sources.
• Scalable Performance: Processes multiple URLs efficiently, supporting batch scraping for large-scale data needs.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reporting systems.
• Customizable Inputs: Allows flexible URL configuration to target specific apps or multiple listings in a single run.
• Real-Time Monitoring: Provides detailed logs and progress tracking during execution for transparency and debugging.
• Apify Integration: Seamlessly runs on the Apify platform with easy deployment and export options to various formats like CSV or Excel.

Input Parameters

Example Usage

Input Configuration

{
"Urls":[
"https://www.clover.com/appmarket/apps/WXVDFZJ8W013A",
"https://www.clover.com/appmarket/apps/H73STZ3S0S4EE"
]
}

Output Example

[
{
"app_id":"H73STZ3S0S4EE",
"app_name":"Order Paper",
"reviewer_name":"BECHTELS PHARMACY INC",
"rating":5,
"review_title":"Expectations Met",
"review_body":"Order was received within a few days.",
"review_date":"2025-12-26 16:40:07",
"review_id":"GC3QAMQDSDBQJ",
"product_url":"https://www.clover.com/appmarket/apps/H73STZ3S0S4EE",
"actor_id":"hZcexoYC7sMb9vxvy",
"run_id":"LlcIP6n2MUuWa5zHc"
},
{
"app_id":"WXVDFZJ8W013A",
"app_name":"Cash Discount #1",
"reviewer_name":"HARRISON HEALTHY SMILES",
"rating":5,
"review_title":"Great Customer Service",
"review_body":"I love using this app \nThe customer services is great. I spoke with Jacqueline she was awesome.",
"review_date":"2026-02-02 17:08:07",
"review_id":"1CTENR98Z18NJ",
"product_url":"https://www.clover.com/appmarket/apps/WXVDFZJ8W013A",
"actor_id":"hZcexoYC7sMb9vxvy",
"run_id":"LlcIP6n2MUuWa5zHc"
}
]

Use Cases

• Market Research: Analyze user sentiment and ratings to identify trends in app popularity and areas for improvement.
• Competitive Intelligence: Compare reviews across similar apps to benchmark performance and uncover competitive advantages.
• Business Automation: Automate the collection of feedback data for regular reporting and dashboard updates.
• Content Aggregation: Gather reviews for content creation, such as blog posts or case studies on app ecosystems.
• Academic Research: Collect data for studies on user behavior, app adoption, and digital marketplace dynamics.
• Quality Assurance: Monitor ongoing reviews to detect issues and inform product development decisions.

Installation and Usage

1. Search for "Clover Apps 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 for real-time updates.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs data in JSON array format, where each object represents a single review. Key fields include:

• app_id: Unique identifier for the app.
• app_name: Name of the app.
• reviewer_name: Name of the reviewer.
• rating: Numerical rating (e.g., 1-5).
• review_title: Title of the review.
• review_body: Full text of the review.
• review_date: Timestamp of the review.
• review_id: Unique review identifier.
• product_url: URL of the app page.
• actor_id and run_id: Metadata from the Apify run for tracking.

This structured format ensures easy parsing and integration with downstream 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!