OpenTable Restaurants Scraper

Extract restaurant data from OpenTable search results and collection pages. Get restaurant names, cuisine types, ratings, reviews, pricing, neighborhoods, and available booking times.

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Features

• Comprehensive Data Extraction - Collect restaurant name, cuisine, price range, rating, reviews count, neighborhood, booking slots, and images
• Flexible Search Options - Use a direct URL or search by date, time, party size, and location
• Fast Performance - Optimized to extract data efficiently
• Structured Output - Clean JSON data ready for analysis or integration

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Use Cases

• Restaurant Research - Compare restaurants in a specific area
• Market Analysis - Analyze dining trends, pricing, and popularity
• Reservation Planning - Find available booking times across multiple restaurants
• Competitive Intelligence - Monitor restaurant ratings and reviews
• Location Analytics - Study restaurant distribution by neighborhood

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Input Parameters

Parameter	Type	Description	Default
start_url	string	OpenTable search or collection URL	-
date	string	Reservation date (YYYY-MM-DD format)	-
time	string	Reservation time (HH:MM format, e.g., 19:00)	-
covers	integer	Party size (1-20)	2
location	string	City or neighborhood to search	-
results_wanted	integer	Maximum restaurants to collect	20
proxyConfiguration	object	Proxy settings	Residential

You can either provide a start_url directly OR use the search parameters (date, time, covers, location) to build a search.

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Output Data

Each restaurant includes:

Field	Description
name	Restaurant name
cuisine	Primary cuisine type
price_range	Price indicator (e.g., $$, $$$, $$$$)
rating	Star rating (1-5)
reviews_count	Total number of reviews
neighborhood	Restaurant neighborhood/area
city	City location
booking_slots	Available reservation times
url	OpenTable restaurant page URL
image_url	Restaurant photo URL
restaurant_id	OpenTable restaurant ID

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Usage Examples

Search by URL

{
  "start_url": "https://www.opentable.com/s?dateTime=2026-01-20T19:00:00&covers=2&metroId=4",
  "results_wanted": 50
}

Search by Parameters

{
  "date": "2026-01-20",
  "time": "19:00",
  "covers": 4,
  "location": "Los Angeles",
  "results_wanted": 30
}

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Sample Output

{
  "name": "Fogo de Chão - Los Angeles",
  "cuisine": "Brazilian",
  "price_range": "$$$$",
  "rating": 4.7,
  "reviews_count": 2177,
  "neighborhood": "Downtown",
  "city": "Los Angeles",
  "booking_slots": ["6:30 PM", "7:00 PM", "7:30 PM", "8:00 PM"],
  "url": "https://www.opentable.com/r/fogo-de-chao-los-angeles",
  "image_url": "https://resizer.otstatic.com/v2/photos/xlarge/1/12345678.jpg",
  "restaurant_id": "12345"
}

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Tips

1. Use Direct URLs - For collection pages (like "Best Italian Restaurants"), copy the full URL from your browser
2. Adjust Party Size - Different party sizes may show different availability
3. Check Date/Time - Ensure the date is in the future for booking availability
4. Start Small - Test with results_wanted: 10 before larger scrapes

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Integrations

Export your data to:

• Google Sheets - For easy sharing and analysis
• Excel - Download as CSV or XLSX
• Webhooks - Send data to your systems in real-time
• APIs - Access results programmatically

Connect with other Apify actors for data enrichment and automation workflows.

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Legal Notice

This scraper collects publicly available information from OpenTable. Users are responsible for ensuring their use complies with OpenTable's Terms of Service and applicable data protection regulations. Use the data responsibly and respect rate limits.