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Multilaser Reviews Spider

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Multilaser Reviews Spider

Multilaser Reviews Spider

Scrape customer reviews from Multilaser product pages to gain insights into performance and sentiment. Efficiently extracts ratings, comments, and timestamps in bulk. Features customizable inputs, JSON output, robust error handling, and no coding required....

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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2

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0

Monthly active users

18 days ago

Last modified

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The Multilaser Reviews Spider is an Apify Actor designed to scrape customer reviews from Multilaser product pages on their official website. It efficiently extracts detailed review data, including ratings, comments, and timestamps, enabling users to gather valuable insights into product performance and customer sentiment. This tool is perfect for e-commerce analysts, marketers, and researchers seeking automated data collection without manual effort.

Features

  • Efficient Scraping: Quickly processes multiple product URLs to extract reviews in bulk, minimizing wait times.
  • Comprehensive Data Extraction: Captures key details like reviewer names, ratings, review text, and dates for thorough analysis.
  • Reliable Performance: Built with robust error handling to manage dynamic web content and ensure high success rates.
  • Customizable Inputs: Accepts a list of URLs, allowing targeted scraping of specific products or categories.
  • JSON Output: Delivers structured data in JSON format, ready for integration with analytics tools or databases.
  • Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring and export options.
  • No Coding Required: User-friendly interface for non-technical users to configure and execute scrapes.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayNoA list of URLs pointing to Multilaser product pages from which to scrape reviews. At least one URL is required for the actor to run.["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 input in JSON format. Below is an example input:

{
"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": "Smart TV DLED 32 HD Toshiba 32V35MS Vidaa 2 HDMI 2 USB WiFi TB020M",
"reviews": [
{
"author": "João Silva",
"rating": 5,
"text": "Excelente TV, imagem nítida e som bom. Recomendo!",
"date": "2023-10-15"
},
{
"author": "Maria Oliveira",
"rating": 4,
"text": "Boa qualidade, mas o WiFi poderia ser mais estável.",
"date": "2023-09-22"
}
]
}

Use Cases

  • Market Research: Analyze customer feedback to identify trends in product satisfaction and preferences.
  • Competitive Intelligence: Compare reviews across Multilaser products to benchmark against competitors.
  • Price Monitoring: Correlate review data with pricing strategies for informed decision-making.
  • Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or reports.
  • Academic Research: Gather data for studies on consumer behavior in e-commerce.
  • Business Automation: Automate review extraction for dashboards or alerts on product performance.

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 object containing the product name and an array of reviews. Each review object includes fields such as author (string, reviewer's name), rating (number, typically 1-5), text (string, the review content), and date (string, in YYYY-MM-DD format). This structure ensures easy parsing and integration with tools like Excel or databases for further analysis.

Support

For custom/simplified outputs or bug reports, please contact:

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