Pampers Reviews Spider

The Pampers Reviews Spider is an Apify Actor designed to scrape and extract customer reviews from Pampers product pages on their official website. It provides detailed insights into user experiences, ratings, and feedback, making it invaluable for market research, product analysis, and understanding consumer sentiment. With reliable data extraction and customizable options, this actor helps businesses and researchers gather actionable data efficiently.

Features

• Comprehensive Review Extraction: Captures key details like ratings, review titles, text, user nicknames, and submission times.
• Batch URL Processing: Supports multiple URLs for scraping reviews from various Pampers products simultaneously.
• Configurable Limits: Set maximum item limits to control data volume and processing time.
• High Reliability: Includes error handling and retries for robust performance.
• Fast and Efficient: Optimized for quick scraping without overloading target sites.
• Structured JSON Output: Delivers clean, machine-readable data for easy integration into workflows.
• Verification Flags: Identifies verified purchasers and incentivized reviews for enhanced data quality.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes (min 1)	List of URLs to scrape reviews from. Each URL must be a valid Pampers product page.	["https://www.pampers.com/en-us/products/pampers-swaddlers-diapers"]
itemLimit	integer	No	Maximum number of review items to process. Defaults to 10 if not specified.	10

Example Usage

Input Configuration

{
  "Urls": [
    "https://www.pampers.com/en-us/products/pampers-swaddlers-diapers"
  ],
  "itemLimit": 10
}

Output Example

[
  {
    "product_id": "pampers_swaddlers_overnights",
    "product_url": "https://www.pampers.com/en-us/products/pampers-swaddlers-diapers",
    "review_id": "244496864",
    "rating": 4,
    "title": "Definitely good experience",
    "review_text": "They feel a bit expensive, but overall I'm happy!!!",
    "user_nickname": "Katie",
    "submission_time": "2025-09-06T15:26:27.000+00:00",
    "is_recommended": null,
    "total_feedback_count": 0,
    "total_positive_feedback": 0,
    "total_negative_feedback": 0,
    "verified_purchaser": false,
    "incentivized_review": "False",
    "actor_id": "Qmg8kvfUZezuL1h3G",
    "run_id": "BZAYYRScsJNKTC6bh"
  }
]

Use Cases

• Market Research and Analysis: Analyze customer sentiment to identify trends in diaper preferences and satisfaction levels.
• Competitive Intelligence: Compare Pampers reviews with competitors to benchmark product performance.
• Price Monitoring: Track feedback related to pricing and value for money in product reviews.
• Content Aggregation: Collect and aggregate user-generated content for social media or marketing campaigns.
• Academic Research: Gather data for studies on consumer behavior in the baby care industry.
• Business Automation: Automate review monitoring for quality control and customer service improvements.

Installation and Usage

1. Search for "Pampers 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, with each review represented as an object in an array. Key fields include:

• product_id: Unique identifier for the product.
• product_url: URL of the product page.
• review_id: Unique ID for the review.
• rating: Numerical rating (e.g., 1-5).
• title: Review title.
• review_text: Full review content.
• user_nickname: Reviewer's name.
• submission_time: Timestamp of the review.
• is_recommended: Recommendation flag (may be null).
• total_feedback_count, total_positive_feedback, total_negative_feedback: Feedback metrics.
• verified_purchaser: Boolean indicating if the reviewer is verified.
• incentivized_review: String flag for incentivized reviews.
• actor_id and run_id: Metadata from the Apify run.

This structure ensures easy parsing and integration with tools like Excel or databases.

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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