Guardianmy Reviews Spider

Introduction

The Guardianmy Reviews Spider is a powerful Apify Actor designed to scrape product reviews from Guardian Malaysia's e-commerce website. It extracts detailed review data, including ratings, titles, bodies, and metadata, enabling users to gather valuable insights for market research and analysis. This tool streamlines the process of collecting authentic customer feedback, making it easier to understand product performance and consumer sentiment in the Malaysian market.

Features

• Comprehensive Review Extraction: Scrapes full review details such as ratings, titles, bodies, and timestamps from Guardian Malaysia product pages.
• Structured Data Output: Provides clean, JSON-formatted data with fields like Product ID, Review ID, Sentiment, and more for easy integration into analytics tools.
• 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.
• Metadata Enrichment: Includes additional fields like product segments, brands, countries, and crawled dates for enriched analysis.
• Customizable Inputs: Accepts a list of URLs to target specific products, allowing flexible and targeted data extraction.
• Apify Integration: Seamlessly runs on the Apify platform with built-in monitoring, logging, and export options.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	A list of URLs pointing to Guardian Malaysia product pages from which to scrape reviews. Each URL should be a valid product page link.	["https://www.guardian.com.my/dove-shower-1l-beauty-nour-121068601.html?page=1"]

Example Usage

To run the Guardianmy Reviews Spider, provide the input parameters in JSON format. Here's an example:

{
  "Urls": [
    "https://www.guardian.com.my/dove-shower-1l-beauty-nour-121068601.html?page=1"
  ]
}

The Actor will process the URLs and output review data in JSON format. An example output for a single review is:

[
  {
    "Product_Id": "121068601",
    "Review_Id": "121068601-rev-1",
    "Rating": 100,
    "Title": "dove-shower-1l-beauty-nour-121068601",
    "Body": "Best!",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "Guardian",
    "Full_Review": "Best!",
    "Review_Type": "Product Review",
    "Title_Trans": "",
    "Body_Trans": "Best!",
    "Full_Review_Trans": "Best!",
    "Product_Name_Trans": "dove-shower-1l-beauty-nour-121068601",
    "Product_Segment": "Supplements",
    "Gender": "Unisex",
    "Product_Segment2": "Wellness",
    "Year_Quarter": "2024-Q2",
    "Sub_Brand": null,
    "Format": null,
    "Country": "Malaysia",
    "Date": "06-04-2024",
    "Product_Name": "dove-shower-1l-beauty-nour-121068601",
    "Brand": null,
    "URL": "https://www.guardian.com.my/dove-shower-1l-beauty-nour-121068601.html?page=1",
    "Crawled_Date": "01-14-2026"
  }
]

Use Cases

• Market Research and Analysis: Collect customer reviews to analyze trends in product popularity and consumer preferences in Malaysia.
• Competitive Intelligence: Monitor competitor products on Guardian Malaysia to benchmark performance and identify strengths/weaknesses.
• Price Monitoring: Track review sentiments alongside product details for pricing strategy insights.
• Content Aggregation: Aggregate reviews for content creation, such as blog posts or social media campaigns.
• Academic Research: Gather data for studies on consumer behavior in e-commerce within Southeast Asia.
• Business Automation: Automate review collection for dashboards or reports in retail analytics workflows.

Installation and Usage

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

• Product_Id: Unique identifier for the product.
• Review_Id: Unique identifier for the review.
• Rating: Numerical rating (e.g., 100 for 5 stars).
• Title/Body: Review title and content.
• Sentiment/Higher_Topic/Granular_Topic: Analysis fields (may be null if not available).
• Source: Origin of the data (e.g., "Guardian").
• Review_Type: Type of review (e.g., "Product Review").
• Product_Segment/Gender/Country: Metadata for categorization.
• Date/Crawled_Date: Timestamps for the review and scraping.
• URL: Source URL of the product page.

Data is structured for easy parsing and integration into databases or analytics 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!