Iherb Review Spider

Introduction

The Iherb Review Spider is a powerful Apify Actor designed to scrape customer reviews from iHerb product pages efficiently and reliably. It extracts detailed review data, including ratings, comments, and timestamps, enabling users to gather valuable insights into product performance and customer sentiment. This tool is ideal for e-commerce analysis, market research, and competitive intelligence, providing high-quality data with minimal setup.

Features

• Comprehensive Review Extraction: Captures full review details such as ratings, comments, reviewer names, and dates from iHerb product pages.
• High Reliability: Built with robust error handling to ensure consistent data scraping even from dynamic web pages.
• Scalable Performance: Handles multiple URLs concurrently, making it suitable for large-scale data collection.
• Customizable Inputs: Accepts a list of URLs for targeted scraping, allowing flexibility in data sources.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis or export to CSV/Excel.
• Apify Integration: Seamlessly runs on the Apify platform with easy monitoring and result export.
• Ethical Scraping: Respects website terms and includes built-in delays to avoid overloading servers.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	A list of URLs pointing to iHerb product pages from which reviews will be scraped. Each URL must be a valid HTTP/HTTPS link.	["https://np.iherb.com/pr/california-gold-nutrition-ashwagandha-450-mg-180-veggie-capsules/89863"]

Example Usage

To run the Iherb Review Spider, provide input in JSON format like this:

{
  "Urls": [
    "https://np.iherb.com/pr/california-gold-nutrition-ashwagandha-450-mg-180-veggie-capsules/89863"
  ]
}

Example output (in JSON format):

[
  {
    "productUrl": "https://np.iherb.com/pr/california-gold-nutrition-ashwagandha-450-mg-180-veggie-capsules/89863",
    "reviewerName": "John Doe",
    "rating": 5,
    "reviewDate": "2023-10-15",
    "reviewTitle": "Great product!",
    "reviewText": "This ashwagandha supplement has really helped with my stress levels. Highly recommend.",
    "verifiedPurchase": true,
    "helpfulVotes": 12
  },
  {
    "productUrl": "https://np.iherb.com/pr/california-gold-nutrition-ashwagandha-450-mg-180-veggie-capsules/89863",
    "reviewerName": "Jane Smith",
    "rating": 4,
    "reviewDate": "2023-09-22",
    "reviewTitle": "Effective but pricey",
    "reviewText": "Works well for anxiety, but the price is a bit high compared to alternatives.",
    "verifiedPurchase": true,
    "helpfulVotes": 8
  }
]

Use Cases

• Market Research and Analysis: Analyze customer feedback to identify trends in product popularity and satisfaction.
• Competitive Intelligence: Compare reviews across similar products to gauge market positioning.
• Price Monitoring: Track review sentiments alongside pricing data for dynamic pricing strategies.
• 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 e-commerce.
• Business Automation: Automate the collection of review data for regular reporting and dashboards.

Installation and Usage

1. Search for "Iherb Review 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:

• productUrl: The URL of the product page.
• reviewerName: Name of the reviewer.
• rating: Numerical rating (e.g., 1-5).
• reviewDate: Date of the review in YYYY-MM-DD format.
• reviewTitle: Title of the review.
• reviewText: Full text of the review.
• verifiedPurchase: Boolean indicating if the purchase was verified.
• helpfulVotes: Number of helpful votes received.

This structured format ensures easy parsing and integration with data analysis 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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