Multilaser Reviews Spider

Introduction

The Multilaser Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Multilaser product pages on multilaser.com.br. It enables users to gather valuable insights into product performance, customer sentiment, and feedback trends with ease. Whether you're conducting market research, monitoring brand reputation, or analyzing consumer behavior, this Actor delivers reliable, structured data to drive informed decisions.

Features

• Comprehensive Review Extraction: Captures detailed review data including ratings, comments, reviewer names, and timestamps from Multilaser product pages.
• High Reliability: Built with robust error handling to ensure consistent data collection even from dynamic web pages.
• Scalable Performance: Handles multiple URLs efficiently, supporting batch processing for large-scale scraping tasks.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis, export, or integration with other tools.
• Customizable Inputs: Flexible URL configuration allows targeting specific products or categories.
• Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring, scheduling, and storage options.
• Data Quality Assurance: Filters out irrelevant content and ensures accurate extraction of review metadata.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of URLs pointing to Multilaser product pages from which to scrape reviews. Each URL must be a valid HTTP/HTTPS link.	["https://www.multilaser.com.br/smart-tv-dled-32-hd-toshiba-32v35ms-vidaa-2-hdmi-2-usb-wifi-tb020m/p"]

Example Usage

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

{
  "Urls": [
    "https://www.multilaser.com.br/smart-tv-dled-32-hd-toshiba-32v35ms-vidaa-2-hdmi-2-usb-wifi-tb020m/p",
    "https://www.multilaser.com.br/another-product-url/p"
  ]
}

Example output (in JSON format):

[
  {
    "product_url": "https://www.multilaser.com.br/smart-tv-dled-32-hd-toshiba-32v35ms-vidaa-2-hdmi-2-usb-wifi-tb020m/p",
    "review_id": "12345",
    "reviewer_name": "João Silva",
    "rating": 4,
    "review_text": "Excelente TV para o preço. Imagem clara e som decente.",
    "review_date": "2023-10-15",
    "verified_purchase": true
  },
  {
    "product_url": "https://www.multilaser.com.br/smart-tv-dled-32-hd-toshiba-32v35ms-vidaa-2-hdmi-2-usb-wifi-tb020m/p",
    "review_id": "12346",
    "reviewer_name": "Maria Oliveira",
    "rating": 5,
    "review_text": "Muito satisfeita com a compra. Entrega rápida e produto de qualidade.",
    "review_date": "2023-10-20",
    "verified_purchase": false
  }
]

Use Cases

• Market Research and Analysis: Collect reviews to analyze consumer preferences and trends in electronics.
• Competitive Intelligence: Compare Multilaser products against competitors by aggregating feedback.
• Price Monitoring: Track customer satisfaction alongside pricing data for dynamic pricing strategies.
• Content Aggregation: Build databases of user-generated content for blogs, reports, or social media insights.
• Academic Research: Study consumer behavior and sentiment in e-commerce for studies or theses.
• Business Automation: Automate review monitoring for e-commerce platforms to maintain product quality.

Installation and Usage

1. Search for "Multilaser Reviews Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
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, structured as an array of review objects. Each object includes fields such as product_url (the source URL), review_id (unique identifier), reviewer_name, rating (numeric score), review_text (full review content), review_date (ISO format), and verified_purchase (boolean indicating if the review is from a verified buyer). This format ensures easy parsing and integration with analytics tools or databases.

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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