Tampax Reviews Spider

Introduction

The Tampax Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Tampax product pages efficiently and reliably. It automates the collection of detailed review data, including ratings, comments, and metadata, enabling users to gather valuable insights into consumer sentiment. This tool is ideal for businesses, researchers, and analysts seeking to analyze product feedback without manual effort.

Features

• Comprehensive Review Extraction: Captures full review details such as titles, bodies, ratings, authors, submission times, and associated photos.
• Flexible URL Input: Accepts multiple URLs for targeted scraping of specific Tampax product pages.
• High-Reliability Data: Ensures accurate and structured output in JSON format, minimizing errors through robust parsing.
• Scalable Performance: Handles large volumes of reviews quickly, with built-in concurrency for efficient processing.
• No Coding Required: User-friendly interface for easy configuration and execution directly on the Apify platform.
• Customizable and Extensible: Supports integration with other Apify tools for advanced workflows like data analysis or export.
• Ethical Scraping: Adheres to website terms of service and respects rate limits to avoid overloading servers.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of URLs pointing to Tampax product review pages to scrape. Must include at least one valid HTTP/HTTPS URL.	["https://www.tampax.com/en-us/reviews/product/123"]

Example Usage

To run the Tampax Reviews Spider, provide the input configuration in JSON format. Below is an example input:

{
  "Urls": [
    "https://www.tampax.com/en-us/reviews/product/tampax-pearl-tampons"
  ]
}

This will scrape reviews from the specified URL. The output will be an array of review objects, as shown below:

[
  {
    "ReviewId": "246213208",
    "ProductId": "Tampax_Pearl_Tampons_Light + Regular_Duopack",
    "Title": "Ol\u2019 reliable!",
    "Body": "This is my go-to brand, they\u2019re always reliable and dispense easily. I like buying the combo box with two sizes so I always conveniently have whatever size I need on hand. I find them to be quite absorbent. However, I do worry their sizes seem to be shrinking over time.",
    "Rating": 4,
    "Author": "samanthas1766_2259",
    "SubmissionTime": "2025-11-29T05:13:12.000+00:00",
    "Photos": [],
    "actor_id": "CFncITLVKUqEobeyA",
    "run_id": "7Eb5NnEvApJcod6VP"
  }
]

Use Cases

• Market Research and Analysis: Gather consumer feedback to identify trends in product satisfaction and preferences for Tampax items.
• Competitive Intelligence: Compare reviews across similar products to benchmark performance and uncover strengths or weaknesses.
• Price Monitoring: Analyze sentiment alongside pricing data to optimize product positioning and promotions.
• Content Aggregation: Collect reviews for content creation, such as blog posts or social media campaigns highlighting user experiences.
• Academic Research: Study consumer behavior and opinions on feminine hygiene products for studies in marketing or sociology.
• Business Automation: Integrate with dashboards or CRM systems to automate sentiment analysis and customer service improvements.

Installation and Usage

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

• ReviewId: Unique identifier for the review.
• ProductId: Identifier of the reviewed product.
• Title: Review headline.
• Body: Full text of the review.
• Rating: Numerical rating (e.g., 1-5).
• Author: Reviewer's username.
• 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 with data analysis tools.

Error Handling

The Actor includes built-in error handling for common issues like invalid URLs or network timeouts. If a URL fails to load, it will be logged, and the Actor will continue with other URLs. Check the run logs for details on errors, such as "URL not found" or "Parsing failed." For persistent issues, ensure URLs are correctly formatted and accessible.

Rate Limiting and Best Practices

To respect website policies, the Actor implements rate limiting to avoid overloading servers. Best practices include:

• Limit concurrent requests by providing a reasonable number of URLs per run.
• Run during off-peak hours to minimize impact.
• Monitor logs for rate limit warnings and adjust input accordingly.
• Use the Actor periodically rather than continuously to ensure ethical scraping.

Limitations and Considerations

• Only scrapes publicly available reviews from specified Tampax URLs; does not access private or login-required content.
• Output is limited to the structure provided; custom fields may require additional processing.
• Performance may vary based on URL count and server response times.
• Ensure compliance with legal and ethical guidelines for data collection.

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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