Description

Extract customer reviews from Hotmart product pages to uncover insights on performance, sentiment, and trends....

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Hotmart Reviews Spider

The Hotmart Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Hotmart product pages. It enables users to gather valuable insights into product performance, customer sentiment, and feedback trends directly from Hotmart's marketplace. This tool is essential for businesses, researchers, and analysts looking to monitor product reputation and make data-driven decisions.

Features

• Comprehensive Review Extraction: Captures detailed review data including user names, ratings, dates, and full review texts from Hotmart product pages.
• High Reliability and Accuracy: Built with robust scraping logic to handle dynamic content and ensure data integrity.
• Fast and Efficient Crawling: Optimized for speed, allowing quick extraction of large volumes of reviews without compromising quality.
• Flexible Input Configuration: Supports multiple start URLs for batch processing of different products.
• Structured JSON Output: Delivers clean, machine-readable data ready for analysis or integration into other systems.
• Error Handling and Logging: Includes built-in mechanisms to manage failures and provide detailed logs for troubleshooting.
• Apify Integration: Seamlessly runs on the Apify platform with easy deployment and monitoring.

Input Parameters

Parameter	Type	Required	Description	Example
StartUrls	array	Yes	An array of URLs pointing to Hotmart product pages from which to scrape reviews. Each URL must be a valid HTTP or HTTPS link.	["https://hotmart.com/pt-br/marketplace/produtos/adestramento-cwd-15x15/E6493865W"]

Example Usage

To run the Hotmart Reviews Spider, provide the input in JSON format as shown below:

{
  "StartUrls": [
    "https://hotmart.com/pt-br/marketplace/produtos/adestramento-cwd-15x15/E6493865W"
  ]
}

Example output in JSON format:

[
  {
    "ucode": 34776744,
    "productId": 173373,
    "date": "2023-06-08T10:08:56.688Z",
    "userName": "Rafael",
    "userAvatar": "",
    "rating": "5",
    "review": " ",
    "actor_id": "dzAEj4aWxsiMqn9So",
    "run_id": "huk0e2LUgq1eD7LI8"
  },
  {
    "ucode": 21487528,
    "productId": 173373,
    "date": "2023-05-24T02:39:05.488Z",
    "userName": "Eduardo",
    "userAvatar": "",
    "rating": "5",
    "review": "Curso Excelente. O Caio chega a ter mais energia do que os alunos e os cachorros. Mostra os exemplos em diversas ocasi\u00f5es, com varia\u00e7\u00f5es. O suporte \u00e9 muito bom. O curso exige dedica\u00e7\u00e3o, se dedicar, principalmente no come\u00e7o o resultado vem r\u00e1pido.  A apresenta\u00e7\u00e3o do material \u00e9 boa, mas a sequencia do nome das aulas \u00e9 um pouco ruim. Se organizar isso mais ficaria 100%. \u00danica queixa.",
    "actor_id": "dzAEj4aWxsiMqn9So",
    "run_id": "huk0e2LUgq1eD7LI8"
  },
  {
    "ucode": 19811051,
    "productId": 173373,
    "date": "2023-05-23T13:26:33.328Z",
    "userName": "Eriko",
    "userAvatar": "",
    "rating": "5",
    "review": "Caio passa com muita destreza e clareza todo o conte\u00fado. \u00danica sugest\u00e3o que dou seria uma aula  de \"desmame\" de treinamento com comida para o brinquedo e em n\u00e3o aceitar comida de outras pessoas. Jah tenho experi\u00eancia em treinamento de meus c\u00e3es e comprei o treinamento para aprimorar meus conhecimentos e usar nos novos cachorros. Adorei o curso e reciclo muita coisa que n\u00e3o lembrava e aprimorou o que n\u00e3o ocnhecia.  Recomendo a todos!! Muito sucesso ao Caio!",
    "actor_id": "dzAEj4aWxsiMqn9So",
    "run_id": "huk0e2LUgq1eD7LI8"
  }
]

Use Cases

• Market Research and Analysis: Analyze customer feedback to identify trends, strengths, and areas for improvement in Hotmart products.
• Competitive Intelligence: Compare reviews across similar products to gauge market positioning and competitor performance.
• Price Monitoring: Track sentiment related to pricing and value propositions in product reviews.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or reports on digital products.
• Academic Research: Gather data for studies on consumer behavior, e-commerce trends, and online education platforms.
• Business Automation: Integrate review data into dashboards or workflows for automated reporting and decision-making.

Installation and Usage

1. Search for "Hotmart Reviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., provide StartUrls).
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 an array of JSON objects, each representing a single review. Key fields include:

• ucode: Unique user code.
• productId: Identifier for the product.
• date: Timestamp of the review in ISO format.
• userName: Name of the reviewer.
• userAvatar: URL to the user's avatar (may be empty).
• rating: Numerical rating (e.g., "5" for 5 stars).
• review: Full text of the review.
• actor_id and run_id: Metadata from the Apify run.

This structured format ensures easy parsing and integration with data analysis 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!