Oralb Reviews Spider

The Oralb Reviews Spider is a powerful Apify Actor designed to scrape customer reviews, ratings, and related data from OralB product pages on oralb.com. It enables businesses and researchers to gather authentic user feedback efficiently, helping to inform product development, marketing strategies, and customer satisfaction analysis. With robust handling of dynamic web content, this Actor ensures reliable data extraction for actionable insights.

Features

• Comprehensive Review Extraction: Captures full review text, star ratings, reviewer names, dates, and helpfulness votes from OralB product pages.
• Pagination Handling: Automatically navigates through multiple review pages to collect all available data without manual intervention.
• High Reliability: Built with anti-detection measures to avoid blocks, ensuring consistent performance on target websites.
• Customizable Inputs: Accepts multiple URLs for batch processing, allowing targeted scraping of specific products or categories.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis, export, or integration with other tools.
• Fast and Scalable: Optimized for speed, capable of processing hundreds of reviews in minutes, with support for large-scale operations.
• Error-Resilient: Includes retry mechanisms and logging for smooth operation, even on unstable pages.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes (min 1 item)	An array of URLs to scrape reviews from. Each URL should point to an OralB product page.	["https://oralb.com/en-us/products/oral-b-crest-advanced-cavity-protection-bundle-for-kids/"]

Example Usage

To run the Actor, provide input in JSON format. Here's an example:

{
  "Urls": [
    "https://oralb.com/en-us/products/oral-b-crest-advanced-cavity-protection-bundle-for-kids/",
    "https://oralb.com/en-us/products/oral-b-genius-x/"
  ]
}

Example output (JSON array of review objects):

[
  {
    "productUrl": "https://oralb.com/en-us/products/oral-b-crest-advanced-cavity-protection-bundle-for-kids/",
    "reviewerName": "John Doe",
    "rating": 5,
    "reviewText": "Great product for kids! My child loves the fun designs and it cleans teeth effectively.",
    "reviewDate": "2023-10-15",
    "helpfulnessVotes": 12
  },
  {
    "productUrl": "https://oralb.com/en-us/products/oral-b-genius-x/",
    "reviewerName": "Jane Smith",
    "rating": 4,
    "reviewText": "Excellent smart toothbrush with app integration. Battery life could be better.",
    "reviewDate": "2023-09-22",
    "helpfulnessVotes": 8
  }
]

Use Cases

• Market Research and Analysis: Gather customer sentiment to identify trends and preferences in oral care products.
• Competitive Intelligence: Compare OralB reviews against competitors to benchmark performance and features.
• Price Monitoring: Analyze reviews alongside pricing data to optimize product positioning.
• Content Aggregation: Collect user-generated content for blogs, reports, or social media campaigns.
• Academic Research: Study consumer behavior and feedback patterns in dental hygiene products.
• Business Automation: Integrate review data into dashboards for real-time monitoring of product reputation.

Installation and Usage

1. Search for "Oralb 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 a JSON array of objects, each representing a single review. Key fields include:

• productUrl: The URL of the scraped product page.
• reviewerName: The name of the reviewer (if available).
• rating: Numerical star rating (e.g., 1-5).
• reviewText: The full text of the review.
• reviewDate: Date the review was posted (in YYYY-MM-DD format).
• helpfulnessVotes: Number of users who found the review helpful.

This structured format allows easy parsing and integration into databases or analytics 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!