Opentable Reviews Parser Spider

The Opentable Reviews Parser Spider is a powerful Apify Actor designed to extract detailed reviews and ratings from OpenTable restaurant pages. It automates the collection of customer feedback, ratings, and other metadata, enabling businesses and researchers to gain valuable insights into dining experiences. This tool streamlines data gathering for market analysis, reputation management, and competitive intelligence.

Features

• Comprehensive Review Extraction: Scrapes detailed reviews, including text, ratings, dates, and reviewer information from OpenTable listings.
• Proxy Support: Utilizes residential proxies to avoid IP blocks and ensure reliable data collection.
• Flexible URL Input: Accepts multiple restaurant URLs for batch processing.
• High-Speed Scraping: Optimized for performance, handling large volumes of data efficiently.
• JSON Output: Delivers structured data in JSON format for easy integration with other tools.
• Error-Resilient: Includes built-in retry mechanisms for handling network issues.
• Apify Integration: Fully compatible with Apify's ecosystem for scheduling, monitoring, and exporting.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	Yes	An array of OpenTable restaurant URLs to scrape reviews from. Each URL must be a valid HTTP/HTTPS link.	["https://www.opentable.com/r/the-marshal-new-york", "https://www.opentable.com/r/example-restaurant"]
proxyConfiguration	object	No	Configuration for proxy servers to hide the scraper's origin and improve reliability. Defaults to using Apify's residential proxies.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

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

{
  "Urls": [
    "https://www.opentable.com/r/the-marshal-new-york"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example output in JSON format:

{
  "reviews": [
    {
      "reviewerName": "John Doe",
      "rating": 5,
      "reviewText": "Amazing food and service!",
      "date": "2023-10-01",
      "restaurantName": "The Marshal"
    },
    {
      "reviewerName": "Jane Smith",
      "rating": 4,
      "reviewText": "Great atmosphere, but a bit pricey.",
      "date": "2023-09-28",
      "restaurantName": "The Marshal"
    }
  ]
}

Use Cases

• Market Research: Analyze customer sentiments and trends in the restaurant industry.
• Competitive Intelligence: Compare reviews and ratings across competing establishments.
• Reputation Management: Monitor and respond to feedback on social dining platforms.
• Price Monitoring: Track mentions of pricing in reviews for economic analysis.
• Content Aggregation: Collect reviews for blog posts, reports, or data visualization projects.
• Academic Research: Gather data for studies on consumer behavior in hospitality.

Installation and Usage

1. Search for "Opentable Reviews Parser 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, structured as an array of review objects. Each review includes fields like reviewerName (string), rating (number, 1-5), reviewText (string), date (string in YYYY-MM-DD format), and restaurantName (string). This format ensures 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!