# NYC steakhouse leads with phone, website and hours

**Use case:** 

Every steakhouse OpenTable lists for New York, best-rated first, with phone, website, opening hours, dining style and coordinates on each row. Measured 29 Oct 2026: 50 rows of 85 matches, phone and website filled on all 50. The cuisine filter is OpenTable's own facet, so trust it rather than re-filtering the row's cuisines column.

## Input

```json
{
  "mode": "search",
  "location": "New York, NY",
  "q": "",
  "includeDetails": true,
  "includeMenu": false,
  "includeReviews": false,
  "includeAvailability": false,
  "sort": "rating",
  "cuisines": [
    "Steakhouse"
  ],
  "neighborhoods": [],
  "priceBands": [],
  "awardTags": [],
  "contextualPrompts": [],
  "wheelchairAccessible": false,
  "restaurantUrls": [],
  "restaurantNames": [],
  "reviewsPerRestaurant": 20,
  "reviewsSort": "newestReview",
  "time": "19:00",
  "partySize": 2,
  "maxItems": 50,
  "detailConcurrency": 8,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

## Output

```json
{
  "id": {
    "label": "ID",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "url": {
    "label": "Profile URL",
    "format": "link"
  },
  "phone": {
    "label": "Phone",
    "format": "text"
  },
  "phoneFormatted": {
    "label": "Phone (formatted)",
    "format": "text"
  },
  "website": {
    "label": "Website",
    "format": "link"
  },
  "menuUrl": {
    "label": "Menu",
    "format": "link"
  },
  "hours": {
    "label": "Opening hours",
    "format": "text"
  },
  "diningStyle": {
    "label": "Dining style",
    "format": "text"
  },
  "dressCode": {
    "label": "Dress code",
    "format": "text"
  },
  "parkingInfo": {
    "label": "Parking",
    "format": "text"
  },
  "paymentOptions": {
    "label": "Payment options",
    "format": "array"
  },
  "popularDishes": {
    "label": "Popular dishes",
    "format": "array"
  },
  "popularDishNames": {
    "label": "Popular dishes (names)",
    "format": "array"
  },
  "menuPhotosCount": {
    "label": "Menu photos count",
    "format": "number"
  },
  "maxPartySize": {
    "label": "Max party size",
    "format": "number"
  },
  "maxAdvanceDays": {
    "label": "Booking window (days)",
    "format": "number"
  },
  "isTakeoutEnabled": {
    "label": "Takeout",
    "format": "text"
  },
  "hasGenderNeutralRestroom": {
    "label": "Gender-neutral restroom",
    "format": "text"
  },
  "currencyCode": {
    "label": "Currency",
    "format": "text"
  },
  "resosInLastDay": {
    "label": "Bookings last 24h",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The OpenTable Restaurant Scraper – Reviews, Ratings & Phone Numbers Actor is ready to run with the inputs already set for "NYC steakhouse leads with phone, website and hours". [Sign up or log in](https://console.apify.com/create-task-from-example/RwE7h76A8ZcGIxZJm) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "NYC steakhouse leads with phone, website and hours" task

The OpenTable Restaurant Scraper – Reviews, Ratings & Phone Numbers Actor will start running based on the input automatically. You can also change all the input fields, like what this run does, location, and more, to match your specific use case.

### 3. Receive the "NYC steakhouse leads with phone, website and hours" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ID, name, profile url, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "NYC steakhouse leads with phone, website and hours" task via API](https://apify.com/rl1987/opentable-api-scraper.md).

## About this Actor

This example demonstrates how to use [OpenTable Restaurant Scraper – Reviews, Ratings & Phone Numbers](https://apify.com/rl1987/opentable-api-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/rl1987/opentable-api-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/rl1987/opentable-api-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).