Scrapes guest reviews across multiple pages
Captures:
- Reviewer name
- Visit date
- Overall rating
- Category scores (Food, Service, Ambience)
- Written feedback
Returns structured JSON output
Compatible with DinerVibe, Looker Studio, Google Sheets, and more

✅ Input

{
  "startUrls": [
    {
      "url": "https://www.opentable.com/r/restaurant-name"
    }
  ],
  "maxPagesPerCrawl": 5
}

📄 Output Format

{
  "reviewer": "Jane",
  "date": "2025-04-15",
  "rating": 5,
  "review": "Exceptional service and perfectly cooked steak!",
  "source": "OpenTable",
  "detailedRatings": {
    "Food": 5,
    "Service": 5,
    "Atmosphere": 4
  }
}

💡 Use Cases

Weekly or monthly review reports
Automated sentiment analysis pipelines
Reputation monitoring across restaurant groups
Customer experience benchmarking

🛠 Technical Notes

Built with Apify’s Web Scraper base
Uses headless Chrome with jQuery injection
Pagination supported via a[data-testid="pagination-button-next"]
Review parsing based on OpenTable’s HTML structure as of 2025

📌 Licensing

For personal and commercial use. Reselling outputs or redistributing the actor itself requires permission from the creator.

On this page

OpenTable Review Scraper

Share Actor:

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