Detailed OpenTable Restaurant Reviews for Market Analysis
This property indicates the scraper's mode of operation. In DEVELOPMENT mode, the scraper ignores page timeouts, doesn't use sessionPool, opens pages one by one and enables debugging via Chrome DevTools. PRODUCTION mode disables debugging and enables timeouts and concurrency.
OpenTable restaurant URLs to scrape reviews from. Example:
Start of the date range for filtering reviews (inclusive). Format: YYYY-MM-DD. Leave empty to include all reviews from the beginning.
End of the date range for filtering reviews (inclusive). Format: YYYY-MM-DD. Leave empty to include all reviews up to today.
Indicates that URL fragments should be included when checking whether a URL has already been visited.
If enabled, the crawler will consult the robots.txt file for the target website before crawling each page.
A CSS selector for pagination links. Leave empty to only scrape the first page.
Glob patterns to match links for pagination.
Results to deliver
100 creditsThis agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.
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Pricing
Extract comprehensive OpenTable customer reviews, including overall ratings, specific scores for food, service, and atmosphere, review text, and reviewer details. Use this data to track sentiment, benchmark competitors, and refine your restaurant's offerings.
### Understand Your Diners and the Competition This tool is designed for anyone needing to delve deep into OpenTable customer feedback. It goes beyond simple star ratings, providing the full text of reviews, individual scores for key dining aspects like food, service, and atmosphere, and the date each review was posted. This level of detail allows for granular analysis of what diners truly think and what drives their satisfaction. ### Data for Strategic Decisions Whether you're a restaurant owner, a hospitality consultant, or a market researcher, the extracted review data is a goldmine. Pinpoint common praises and complaints, identify emerging dining trends, and understand how your restaurant measures up against competitors on specific attributes. You can filter reviews by a specific date range, allowing you to track changes in sentiment over time or focus on recent feedback. ### Flexible and Scalable Data Collection Simply provide the OpenTable URLs for the restaurants you want to analyze. The tool handles pagination automatically, ensuring you capture all available reviews, not just those on the first page. For larger projects, the 'PRODUCTION' run mode optimizes for concurrency and reliability, making it suitable for ongoing monitoring or extensive data collection across many venues.
Copy the OpenTable restaurant URLs you want to scrape from your browser.
Paste these URLs into the 'Start URLs' field in the tool's input.
Optionally, set 'Start Date' and 'End Date' to filter reviews by a specific time range.
Run the tool, and it will navigate to each specified restaurant page and collect the reviews.
Once the run is complete, download your structured review data, including ratings and full review text.