Webstaurantstore Reviews Scraper

Introduction

The Webstaurantstore Reviews Scraper is a powerful tool designed to extract detailed customer reviews from Webstaurantstore product pages. This actor enables businesses and researchers to gather valuable insights from customer feedback, enhancing market research, competitive analysis, and product development efforts.

Features

• Comprehensive Data Extraction: Captures detailed review information including reviewer details, ratings, and review text.
• High Data Quality: Ensures accurate and reliable data by leveraging Apify's robust scraping infrastructure.
• Efficient Performance: Optimized for speed and efficiency, handling up to 100 requests per crawl.
• Proxy Support: Utilizes Apify's Residential Proxy to maintain anonymity and prevent IP blocking.
• Customizable Parameters: Allows users to specify start URLs and maximum requests per crawl.
• Scalable Solution: Suitable for both small-scale and large-scale data extraction needs.
• User-Friendly Interface: Easy to configure and use, even for non-technical users.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	Array	Yes	URLs to start with.	["https://www.webstaurantstore.com/product-reviews/395RP06.html"]
maxItems	Integer	No	Maximum number of requests that can be made by this crawler.	100
proxyConfiguration	Object	No	Specifies proxy servers that will be used by the scraper to hide its origin.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Example Input

{
  "startUrls": [
    {
      "url": "https://www.webstaurantstore.com/product-reviews/395RP06.html"
    }
  ],
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}

Example Output

[
  {
    "review_id": "1004127",
    "product_id": "395RP06",
    "reviewer_name": "Roshi J.",
    "reviewer_company": null,
    "date_posted": "04/04/2019",
    "rating": 5,
    "verified_purchase": true,
    "attributes": {
      "Color": "White",
      "Size": "10\"",
      "Number of Compartments": "3"
    },
    "review_text": "I Used for a large outdoor event. They are really quite nice. I will use them again in the future. Unexpectedly sturdy and the natural color was perfect to our event.they dont absorb liquid.Love these heavy duty, microwavable, and recyclable sugarcane plates.",
    "helpful_votes": {
      "upvotes": 4,
      "total": 4
    },
    "photos": [
      "https://www.webstaurantstore.com/images/products/large/user-submit/999rp10c_e954h5.jpg"
    ],
    "videos": [],
    "scraped_at": "2026-04-09T09:21:51.391Z"
  }
]

Use Cases

• Market Research and Analysis: Gather customer feedback to understand market trends and consumer preferences.
• Competitive Intelligence: Analyze competitor products and customer satisfaction levels.
• Price Monitoring: Track product reviews to correlate with pricing strategies.
• Content Aggregation: Collect reviews for content creation and aggregation platforms.
• Academic Research: Utilize customer feedback data for research studies and projects.
• Business Automation: Automate the collection of customer feedback for business intelligence systems.

Installation and Usage

1. Search for "Webstaurantstore reviews scraper" 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 a JSON array where each object contains:

• review_id: Unique identifier for the review.
• product_id: Identifier for the product reviewed.
• reviewer_name: Name of the reviewer.
• reviewer_company: Company of the reviewer, if applicable.
• date_posted: Date the review was posted.
• rating: Rating given by the reviewer.
• verified_purchase: Indicates if the purchase was verified.
• attributes: Product attributes like color and size.
• review_text: Text of the review.
• helpful_votes: Number of helpful votes received.
• photos: URLs of photos included in the review.
• videos: URLs of videos included in the review.
• scraped_at: Timestamp of when the data was scraped.

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!