PART 1: Generate README.md

Productreviews Reviews Spider

The Productreviews Reviews Spider is a powerful Apify Actor designed to scrape and extract detailed product reviews from ProductReview.com.au. It automates the collection of user-generated content, including ratings, titles, and full review bodies, enabling businesses and researchers to gain valuable insights into consumer sentiment. This tool streamlines market research by delivering structured, high-quality data directly from the source.

Features

• Comprehensive Review Extraction: Captures full review details including ratings, titles, bodies, and metadata from ProductReview.com.au listings.
• High Data Reliability: Ensures accurate and consistent data extraction with built-in error handling for robust performance.
• Flexible URL Input: Supports multiple product URLs for batch processing, allowing efficient scraping of multiple listings in a single run.
• Structured JSON Output: Delivers clean, machine-readable data with fields like sentiment analysis placeholders and product identifiers.
• Fast and Scalable: Optimized for speed, handling large volumes of reviews without compromising on quality.
• Easy Integration: Seamlessly exports data in JSON, CSV, or Excel formats for use in analytics tools or databases.
• Customizable and Extensible: Ideal for tailored workflows, with options for future enhancements like sentiment analysis.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes (min 1 item)	An array of URLs pointing to ProductReview.com.au product listings to scrape reviews from. Each URL must be a valid HTTP/HTTPS link.	["https://www.productreview.com.au/listings/babylove-cosifit"]

Example Usage

To run the Actor, provide the input parameters in JSON format:

{
  "Urls": [
    "https://www.productreview.com.au/listings/babylove-cosifit"
  ]
}

Example output in JSON format:

[
  {
    "Product_Id": "babylove-cosifit",
    "Review_Id": "9cce372f-616f-4488-b594-52393740d808",
    "Rating": 1,
    "Title": "Will not buy ever again after they recently changed the material!! Absolute rubbish!!!",
    "Body": "My little one wakes up at all hours of the night drenched in urine due to the change in new material, I used to love these as they used to last all night, before they were changed to a cheaper material! Will not buy every again, didnt even bother finishing the rest of the packet how crap they are, so it's back to Huggies for me.",
    "Sentiment": null,
    "Section": "",
    "Higher_Topic": null,
    "Granular_Topic": null,
    "Source": "ProductReview",
    "Full_Review": "Will not buy ever again after they recently changed the material!! Absolute rubbish!!!: My little one wakes up at all hours of the night drenched in urine due to the change in new material, I used to love these as they used to last all night, before they were changed to a cheaper material! Will not buy every again, didnt even bother finishing the rest of the packet how crap they are, so it's back to Huggies for me.",
    "Review_Type": "Product Review",
    "Product_Segment": null,
    "Product_Segment2": null,
    "Year_Quarter": null,
    "Sub_Brand": null,
    "Format": null,
    "Country": "AU",
    "Date": null,
    "Product_Name": "babylove-cosifit",
    "Brand": null,
    "URL": "https://www.productreview.com.au/listings/babylove-cosifit",
    "Crawled_Date": "01-14-2026"
  }
]

Use Cases

• Market Research and Analysis: Analyze consumer feedback to identify trends, preferences, and pain points in product categories.
• Competitive Intelligence: Compare reviews across similar products to benchmark performance and uncover competitive advantages.
• Price Monitoring: Track sentiment related to pricing and value for money in e-commerce strategies.
• Content Aggregation: Build datasets for AI training or content creation by aggregating authentic user reviews.
• Academic Research: Collect qualitative data for studies on consumer behavior and brand perception.
• Business Automation: Automate review monitoring for customer service teams to respond to feedback proactively.

Installation and Usage

1. Search for "Productreviews 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 as a JSON array of objects, each representing a single review. Key fields include:

• Product_Id: Unique identifier for the product.
• Review_Id: Unique ID for the review.
• Rating: Numerical rating (e.g., 1-5).
• Title and Body: Review title and full text.
• Sentiment, Higher_Topic, Granular_Topic: Placeholders for potential analysis (currently null).
• Source: Origin of the data (e.g., "ProductReview").
• Full_Review: Concatenated title and body.
• Review_Type: Type of review (e.g., "Product Review").
• Country, Date, Crawled_Date: Metadata for location and timestamps.
• URL: Source URL of the product listing.

Data is structured for easy parsing and integration into 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!

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PART 2: Generate Description