Tide Reviews Spider

Introduction

The Tide Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Tide product pages on tide.com. It efficiently collects detailed review data, including ratings, comments, and author information, enabling businesses and researchers to gain valuable insights into consumer sentiment. This tool is ideal for market analysis, competitive intelligence, and automating data collection without manual effort.

Features

• Comprehensive Review Extraction: Captures full review details such as titles, ratings, bodies, authors, and timestamps for thorough analysis.
• High Reliability: Built with robust error handling to ensure consistent data retrieval from dynamic web pages.
• Fast and Scalable: Processes multiple URLs quickly, supporting batch scraping for large-scale data needs.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports.
• Customizable Inputs: Allows specification of target URLs to focus on specific Tide products or categories.
• No Coding Required: User-friendly interface in the Apify Store for easy setup and execution.
• Data Quality Assurance: Filters out irrelevant content and ensures accurate parsing of review elements.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	A list of URLs pointing to Tide product pages from which to scrape reviews. Each URL must be a valid HTTP or HTTPS link.	["https://tide.com/en-us/shop/type/liquid/tide-free-and-gentle-liquid"]

Example Usage

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

{
  "Urls": [
    "https://tide.com/en-us/shop/type/liquid/tide-free-and-gentle-liquid"
  ]
}

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

[
  {
    "title": "Great solution for my sensitive skin",
    "rating": "5",
    "value_rating": null,
    "quality_rating": null,
    "body": "Great solution for sensitive skin without compromising cleanliness of one\u2019s laundry. I Love it! \u2764\ufe0f",
    "author": "Patty25",
    "date": "01/02/2026",
    "date_iso": "2026-01-02T03:45:16.000+00:00",
    "reply_name": null,
    "reply_text": null,
    "reply_date": null,
    "actor_id": "dfvDecbv0A3rgE52x",
    "run_id": "DHWA6tHjE2omzt3lT"
  }
]

Use Cases

• Market Research: Analyze customer feedback on Tide products to identify trends in satisfaction and preferences.
• Competitive Intelligence: Compare review data across similar laundry detergents to benchmark performance.
• Price Monitoring: Track reviews alongside pricing data for comprehensive product insights.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or reports.
• Academic Research: Gather data for studies on consumer behavior in household products.
• Business Automation: Automate review scraping for regular reporting in e-commerce operations.

Installation and Usage

1. Search for "Tide 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:

• title: The review headline.
• rating: Overall star rating (e.g., "5").
• body: The full review text.
• author: Reviewer's username.
• date: Human-readable date string.
• date_iso: ISO-formatted timestamp.
• Additional fields like value_rating, quality_rating, and reply details if available.
• Metadata fields such as actor_id and run_id for tracking.

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!