Tampax Reviews Spider

The Tampax Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Tampax product pages on various e-commerce sites. It provides reliable, structured data for analyzing consumer feedback, enabling businesses and researchers to gain insights into product performance and market trends. This tool ensures efficient data collection with minimal setup, delivering high-quality reviews in a clean JSON format.

Features

• Comprehensive Review Extraction: Captures detailed review data including titles, bodies, ratings, authors, and submission times from specified Tampax product URLs.
• Flexible URL Input: Accepts multiple URLs for batch processing, allowing users to scrape reviews from various product pages simultaneously.
• High Data Quality: Ensures accurate and consistent output with built-in validation, minimizing errors and duplicates.
• Fast and Scalable: Optimized for performance, handling large volumes of reviews quickly without compromising on reliability.
• JSON Output: Delivers structured data in JSON format, ready for integration into databases, analytics tools, or further processing.
• Error Handling: Includes robust mechanisms to manage network issues, invalid URLs, and site changes, with clear logging for troubleshooting.
• No Coding Required: User-friendly interface on Apify Store, making it accessible for non-technical users.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes (min 1 item)	An array of URLs pointing to Tampax product review pages to scrape. Each URL must be a valid HTTP or HTTPS link.	["https://www.example.com/tampax-product-reviews"]

Example Usage

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

{
  "Urls": [
    "https://www.amazon.com/Tampax-Pearl-Tampons-Super-Monopack/product-reviews/B07ZJZJZJZ"
  ]
}

The Actor will process the URLs and output an array of review objects. Example output:

[
  {
    "ReviewId": "247436792",
    "ProductId": "Tampax_Pearl_Tampons_Super_Monopack",
    "Title": "Good!",
    "Body": "These works very well! I don't experience any leakage and they don't feel uncomfortable while wearing them, so it's pretty discreet! You get a good value for your money as well.",
    "Rating": 5,
    "Author": "corrinwaabf_3959",
    "SubmissionTime": "2026-01-13T18:26:13.000+00:00",
    "Photos": [],
    "actor_id": "CFncITLVKUqEobeyA",
    "run_id": "Qbm4tTgUSvirXxAKH"
  }
]

Use Cases

• Market Research and Analysis: Analyze customer sentiment and trends for Tampax products to inform marketing strategies.
• Competitive Intelligence: Compare reviews across similar products to identify strengths and weaknesses.
• Price Monitoring: Track review volumes and ratings alongside pricing data for dynamic pricing models.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or social media campaigns.
• Academic Research: Study consumer behavior and preferences in personal care products for scholarly studies.
• Business Automation: Automate review data extraction for dashboards or reports in e-commerce operations.

Installation and Usage

1. Search for "Tampax 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 output is an array of JSON objects, each representing a single review. Key fields include:

• ReviewId: Unique identifier for the review.
• ProductId: Identifier for the product being reviewed.
• Title: The review's title.
• Body: The full text of the review.
• Rating: Numerical rating (e.g., 1-5).
• Author: Username of the reviewer.
• SubmissionTime: Timestamp of the review in ISO format.
• Photos: Array of photo URLs (if any).
• actor_id and run_id: Metadata from the Apify run.

This structured format ensures easy parsing and integration.

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!