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Scrape OpenTable & Resy Data for Restaurant Market Research

#restaurants #scraping #data #marketing

Unlocking Restaurant Industry Insights with Data

The restaurant industry is notoriously competitive, with new establishments constantly emerging and consumer preferences shifting. For marketers, researchers, developers, and analysts, understanding this dynamic landscape is crucial. Imagine you're a market researcher tasked with identifying emerging culinary trends in New York City, or a developer building a restaurant discovery app and needing a comprehensive database of venues. Perhaps you're a restaurateur looking to benchmark your pricing and offerings against competitors in a specific neighborhood.

Manually gathering this data from platforms like OpenTable and Resy is a monumental, if not impossible, task. Clicking through thousands of listings, copying details, and attempting to unify information across two distinct platforms consumes valuable time and resources. This is where the right data solution becomes invaluable.

Introducing the OpenTable + Resy Scraper: Your Single Source for Restaurant Data

The Apify OpenTable + Resy Scraper actor is designed to overcome these challenges by providing a streamlined, automated way to extract rich restaurant data from both major platforms. This single actor eliminates the need for complex, bespoke scraping solutions for each site, allowing you to focus on analyzing the data rather than acquiring it.

Comprehensive Restaurant Information at Your Fingertips

This actor offers a wealth of data fields, ensuring you get a holistic view of each restaurant. You can extract essential information like the restaurant's name, cuisine, priceBand (or priceRangeId on Resy), neighborhood, address, coordinates, and overallRating (or rating.average on Resy). For OpenTable, you can even fetch totalReviews and detailed recentReviews[] by enabling the enrichDetailPages input. Resy data, while not exposing full review text in its public API, still provides aggregate rating.average and rating.count.

Consider a scenario where you're a marketing consultant helping a new Italian restaurant launch in a competitive market like New York City. You need to understand the existing Italian restaurant landscape: their locations, price points, and what customers are saying. Using the actor's platform: "opentable" and cuisine: "italian" inputs, alongside a city: "New York", you can quickly gather a dataset of competing establishments. By enabling enrichDetailPages, you can dive into recentReviews[] for OpenTable restaurants to spot common customer feedback, identifying opportunities or areas for differentiation.

Flexible Search and Lookup Modes

The OpenTable + Resy Scraper offers five distinct modes per platform, giving you granular control over your data collection strategy:

  • search: Ideal for broad market research, allowing you to search by city, cuisine, or a free-text query. This is perfect for discovering all restaurants meeting certain criteria. For example, finding all "Mediterranean" restaurants in "London" with platform: "opentable", mode: "search", city: "London", and cuisine: "Mediterranean".
  • byRestaurant / byUrl: When you know specific restaurants you want to investigate, you can provide their OpenTable URLs (e.g., https://www.opentable.com/{slug}) or Resy URLs (e.g., https://resy.com/cities/ny/venues/{urlSlug}) via the urls input. This is useful for competitive analysis, allowing you to drill down into specific venues like "Carbone" on Resy using its URL.
  • byCuisine: Similar to search, but specifically focused on cuisine as the primary search term.
  • byCity: Scrape all restaurants within a given city or metroId without specifying cuisine.

Real-time Resy Availability: A Game-Changer for Developers

For developers building applications that require real-time reservation information, the actor's includeAvailability feature for Resy is incredibly powerful. By setting includeAvailability: true in byRestaurant mode and providing a day and partySize, the actor will append live reservation slots to each Resy record.

Imagine you're developing a concierge service application. You could use this feature to check immediate availability for high-demand restaurants. For a client wanting to dine at "Carbone" on a specific date, you could input platform: "resy", mode: "byRestaurant", urls: ["https://resy.com/cities/ny/venues/carbone"], includeAvailability: true, day: "2026-07-15", and partySize: 2. The output would then include availability.slots[], detailing reservation times. This capability opens doors for building dynamic, data-driven tools that go beyond static restaurant directories.

Filtering and Refinement for Targeted Data

The actor allows you to refine your search results with various filters:

  • country: Drop records whose address country doesn't match your target. Essential for international market research.
  • priceRange: Filter by price band, from $ (under $30) to $$$$ ($75+). This is invaluable for segmenting restaurants by affordability.
  • minRating: Ensure you only get restaurants with a minimum overallRating on a 1-5 scale, helping you focus on well-regarded establishments.
  • maxItems: Set a hard cap on the number of records emitted, useful for testing or managing data volume.

How to Use the OpenTable + Resy Scraper

Getting started with the OpenTable + Resy Scraper is straightforward:

  1. Find the Actor: Navigate to the Apify Store and search for "OpenTable + Resy Scraper."
  2. Define Your Input: Click "Try for free" and you'll be presented with the input form.
    • First, select your desired platform (e.g., "opentable" or "resy").
    • Next, choose a mode (e.g., "search", "byRestaurant").
    • Based on your mode, provide relevant details like city, cuisine, urls, day, or partySize.
    • Consider adding filters like priceRange or minRating to refine your results.
    • If using OpenTable and needing detailed reviews, set enrichDetailPages: true.
    • If using Resy and needing availability, set includeAvailability: true and specify day and partySize.
  3. Run the Actor: Click the "Start" button. The actor will begin scraping data according to your specifications.
  4. Download Your Data: Once the run completes, you can download your scraped data in various formats like JSON, CSV, or Excel.

Conclusion

The OpenTable + Resy Scraper offers a powerful, flexible, and efficient solution for anyone needing comprehensive restaurant data. Whether you're a market researcher identifying culinary trends, a developer building innovative apps, or a restaurateur seeking competitive insights, this actor empowers you to make data-driven decisions. By centralizing data extraction from two of the most prominent reservation platforms, it significantly reduces the complexity and effort involved in acquiring crucial industry intelligence. Try the OpenTable + Resy Scraper today and unlock the rich potential of restaurant data.

Ready to try it yourself? Run *OpenTable + Resy Scraper** on the Apify Store -- no setup required.*

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