---
title: "Restaurant Data API - Menus, Reviews & Dining Data"
description: "A restaurant data API for dining platforms. Scrape menus, prices, reviews, ratings, and hours into structured JSON for food discovery apps and market research."
url: https://webscraping.ai/use-cases/restaurant-data-aggregation
markdown_index: https://webscraping.ai/llms.txt
---
TRAVEL & HOSPITALITY

# Restaurant Data Aggregation

A restaurant data API for dining platforms. Scrape menus, prices, reviews, ratings, and hours into one clean schema to power food discovery apps and market analysis.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View Documentation](https://webscraping.ai/docs)

## Restaurant Data is Everywhere

Restaurant information is scattered across review sites, delivery platforms, and reservation systems. Building a comprehensive dining database requires aggregating data from multiple sources.

Each platform has different data structures and anti-scraping measures. You need a reliable way to collect and normalize restaurant data at scale.

#### WebScraping.AI Solution

- **Multi-Platform:** Extract from review sites, delivery apps, and booking platforms
- **Menu Extraction:** Parse menu items, prices, and descriptions
- **Review Analysis:** Collect ratings and analyze review sentiment
- **Structured Output:** Clean, normalized data ready for your database

## Restaurant Data Points

Comprehensive dining intelligence

#### Menu Data

Menu items, prices, descriptions, dietary info, and categories.

#### Reviews & Ratings

Overall ratings, review counts, and individual review text.

#### Location Info

Address, hours, phone, website, and delivery zones.

#### Categories

Cuisine type, price range, amenities, and features.

## Code Examples

Extract restaurant data

##### Extract restaurant details from a dining platform

**cURL**

```bash
curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://dining-platform.com/restaurant/italian-bistro" \
  --data-urlencode "fields[name]=Restaurant name" \
  --data-urlencode "fields[cuisine_type]=Type of cuisine" \
  --data-urlencode "fields[price_range]=Price range ($, $$, $$$, $$$$)" \
  --data-urlencode "fields[rating]=Overall rating" \
  --data-urlencode "fields[review_count]=Number of reviews" \
  --data-urlencode "fields[address]=Full address" \
  --data-urlencode "fields[phone]=Phone number" \
  --data-urlencode "fields[hours]=Operating hours by day" \
  --data-urlencode "fields[popular_dishes]=Top 5 popular menu items with prices" \
  --data-urlencode "fields[features]=Features like outdoor seating, delivery, reservations" \
  --data-urlencode "fields[dietary_options]=Vegetarian, vegan, gluten-free options available"
# Response:
# {
# "name": "Bella Italia Bistro",
# "cuisine_type": "Italian",
# "price_range": "$$$",
# "rating": 4.6,
# "review_count": 847,
# "address": "123 Main St, New York, NY 10001",
# "phone": "(212) 555-0123",
# "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
# "popular_dishes": [
# {"name": "Truffle Risotto", "price": "$28"},
# {"name": "Margherita Pizza", "price": "$18"}
# ],
# "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
# "dietary_options": ["Vegetarian", "Gluten-free options"]
# }
```

**Python**

```python
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
result = client.fields(
    "https://dining-platform.com/restaurant/italian-bistro",
    fields={
        "name": "Restaurant name",
        "cuisine_type": "Type of cuisine",
        "price_range": "Price range ($, $$, $$$, $$$$)",
        "rating": "Overall rating",
        "review_count": "Number of reviews",
        "address": "Full address",
        "phone": "Phone number",
        "hours": "Operating hours by day",
        "popular_dishes": "Top 5 popular menu items with prices",
        "features": "Features like outdoor seating, delivery, reservations",
        "dietary_options": "Vegetarian, vegan, gluten-free options available",
    },
)
print(result)
# Response:
# {
# "name": "Bella Italia Bistro",
# "cuisine_type": "Italian",
# "price_range": "$$$",
# "rating": 4.6,
# "review_count": 847,
# "address": "123 Main St, New York, NY 10001",
# "phone": "(212) 555-0123",
# "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
# "popular_dishes": [
# {"name": "Truffle Risotto", "price": "$28"},
# {"name": "Margherita Pizza", "price": "$18"}
# ],
# "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
# "dietary_options": ["Vegetarian", "Gluten-free options"]
# }
```

**JavaScript**

```javascript
// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
  url: 'https://dining-platform.com/restaurant/italian-bistro',
  fields: {
    name: 'Restaurant name',
    cuisine_type: 'Type of cuisine',
    price_range: 'Price range ($, $$, $$$, $$$$)',
    rating: 'Overall rating',
    review_count: 'Number of reviews',
    address: 'Full address',
    phone: 'Phone number',
    hours: 'Operating hours by day',
    popular_dishes: 'Top 5 popular menu items with prices',
    features: 'Features like outdoor seating, delivery, reservations',
    dietary_options: 'Vegetarian, vegan, gluten-free options available',
  },
});
console.log(result);
// Response:
// {
// "name": "Bella Italia Bistro",
// "cuisine_type": "Italian",
// "price_range": "$$$",
// "rating": 4.6,
// "review_count": 847,
// "address": "123 Main St, New York, NY 10001",
// "phone": "(212) 555-0123",
// "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
// "popular_dishes": [
// {"name": "Truffle Risotto", "price": "$28"},
// {"name": "Margherita Pizza", "price": "$18"}
// ],
// "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
// "dietary_options": ["Vegetarian", "Gluten-free options"]
// }
```

**PHP**

```php
<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://dining-platform.com/restaurant/italian-bistro', [
    'name' => 'Restaurant name',
    'cuisine_type' => 'Type of cuisine',
    'price_range' => 'Price range ($, $$, $$$, $$$$)',
    'rating' => 'Overall rating',
    'review_count' => 'Number of reviews',
    'address' => 'Full address',
    'phone' => 'Phone number',
    'hours' => 'Operating hours by day',
    'popular_dishes' => 'Top 5 popular menu items with prices',
    'features' => 'Features like outdoor seating, delivery, reservations',
    'dietary_options' => 'Vegetarian, vegan, gluten-free options available',
]);
print_r($result);
// Response:
// {
// "name": "Bella Italia Bistro",
// "cuisine_type": "Italian",
// "price_range": "$$$",
// "rating": 4.6,
// "review_count": 847,
// "address": "123 Main St, New York, NY 10001",
// "phone": "(212) 555-0123",
// "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
// "popular_dishes": [
// {"name": "Truffle Risotto", "price": "$28"},
// {"name": "Margherita Pizza", "price": "$18"}
// ],
// "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
// "dietary_options": ["Vegetarian", "Gluten-free options"]
// }
```

**Ruby**

```ruby
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
  'https://dining-platform.com/restaurant/italian-bistro',
  fields: {
    name: 'Restaurant name',
    cuisine_type: 'Type of cuisine',
    price_range: 'Price range ($, $$, $$$, $$$$)',
    rating: 'Overall rating',
    review_count: 'Number of reviews',
    address: 'Full address',
    phone: 'Phone number',
    hours: 'Operating hours by day',
    popular_dishes: 'Top 5 popular menu items with prices',
    features: 'Features like outdoor seating, delivery, reservations',
    dietary_options: 'Vegetarian, vegan, gluten-free options available',
  }
)
puts result.inspect
# Response:
# {
# "name": "Bella Italia Bistro",
# "cuisine_type": "Italian",
# "price_range": "$$$",
# "rating": 4.6,
# "review_count": 847,
# "address": "123 Main St, New York, NY 10001",
# "phone": "(212) 555-0123",
# "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
# "popular_dishes": [
# {"name": "Truffle Risotto", "price": "$28"},
# {"name": "Margherita Pizza", "price": "$18"}
# ],
# "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
# "dietary_options": ["Vegetarian", "Gluten-free options"]
# }
```

**Go**

```go
// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
        URL: "https://dining-platform.com/restaurant/italian-bistro",
        Fields: map[string]string{
            "name": "Restaurant name",
            "cuisine_type": "Type of cuisine",
            "price_range": "Price range ($, $$, $$$, $$$$)",
            "rating": "Overall rating",
            "review_count": "Number of reviews",
            "address": "Full address",
            "phone": "Phone number",
            "hours": "Operating hours by day",
            "popular_dishes": "Top 5 popular menu items with prices",
            "features": "Features like outdoor seating, delivery, reservations",
            "dietary_options": "Vegetarian, vegan, gluten-free options available",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
// "name": "Bella Italia Bistro",
// "cuisine_type": "Italian",
// "price_range": "$$$",
// "rating": 4.6,
// "review_count": 847,
// "address": "123 Main St, New York, NY 10001",
// "phone": "(212) 555-0123",
// "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
// "popular_dishes": [
// {"name": "Truffle Risotto", "price": "$28"},
// {"name": "Margherita Pizza", "price": "$18"}
// ],
// "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
// "dietary_options": ["Vegetarian", "Gluten-free options"]
// }
```

**Java**

```java
// Maven: ai.webscraping:webscraping-ai:4.2.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
    .url("https://dining-platform.com/restaurant/italian-bistro")
    .addField("name", "Restaurant name")
    .addField("cuisine_type", "Type of cuisine")
    .addField("price_range", "Price range ($, $$, $$$, $$$$)")
    .addField("rating", "Overall rating")
    .addField("review_count", "Number of reviews")
    .addField("address", "Full address")
    .addField("phone", "Phone number")
    .addField("hours", "Operating hours by day")
    .addField("popular_dishes", "Top 5 popular menu items with prices")
    .addField("features", "Features like outdoor seating, delivery, reservations")
    .addField("dietary_options", "Vegetarian, vegan, gluten-free options available")
    .build());
System.out.println(result.getResult());
// Response:
// {
// "name": "Bella Italia Bistro",
// "cuisine_type": "Italian",
// "price_range": "$$$",
// "rating": 4.6,
// "review_count": 847,
// "address": "123 Main St, New York, NY 10001",
// "phone": "(212) 555-0123",
// "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
// "popular_dishes": [
// {"name": "Truffle Risotto", "price": "$28"},
// {"name": "Margherita Pizza", "price": "$18"}
// ],
// "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
// "dietary_options": ["Vegetarian", "Gluten-free options"]
// }
```

**C#**

```csharp
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
    Url = "https://dining-platform.com/restaurant/italian-bistro",
    Fields = new Dictionary<string, string> {
        ["name"] = "Restaurant name",
        ["cuisine_type"] = "Type of cuisine",
        ["price_range"] = "Price range ($, $$, $$$, $$$$)",
        ["rating"] = "Overall rating",
        ["review_count"] = "Number of reviews",
        ["address"] = "Full address",
        ["phone"] = "Phone number",
        ["hours"] = "Operating hours by day",
        ["popular_dishes"] = "Top 5 popular menu items with prices",
        ["features"] = "Features like outdoor seating, delivery, reservations",
        ["dietary_options"] = "Vegetarian, vegan, gluten-free options available",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
// "name": "Bella Italia Bistro",
// "cuisine_type": "Italian",
// "price_range": "$$$",
// "rating": 4.6,
// "review_count": 847,
// "address": "123 Main St, New York, NY 10001",
// "phone": "(212) 555-0123",
// "hours": {"Mon-Thu": "11am-10pm", "Fri-Sat": "11am-11pm", "Sun": "12pm-9pm"},
// "popular_dishes": [
// {"name": "Truffle Risotto", "price": "$28"},
// {"name": "Margherita Pizza", "price": "$18"}
// ],
// "features": ["Outdoor seating", "Delivery", "Reservations", "Full bar"],
// "dietary_options": ["Vegetarian", "Gluten-free options"]
// }
```

##### Summarize review sentiment for the same restaurant

**cURL**

```bash
curl -G "https://api.webscraping.ai/ai/question" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://dining-platform.com/restaurant/italian-bistro" \
  --data-urlencode "question=What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?"
```

**Python**

```python
# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
answer = client.question(
    "https://dining-platform.com/restaurant/italian-bistro",
    question="What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?",
)
print(answer)
```

**JavaScript**

```javascript
// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const answer = await client.question({
  url: 'https://dining-platform.com/restaurant/italian-bistro',
  question: 'What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?',
});
console.log(answer);
```

**PHP**

```php
<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$answer = $client->question(
    'https://dining-platform.com/restaurant/italian-bistro',
    'What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?',
);
echo $answer;
```

**Ruby**

```ruby
# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
answer = client.question(
  'https://dining-platform.com/restaurant/italian-bistro',
  question: 'What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?'
)
puts answer
```

**Go**

```go
// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    answer, _ := client.Question(context.Background(), &webscrapingai.QuestionOptions{
        URL: "https://dining-platform.com/restaurant/italian-bistro",
        Question: "What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?",
    })
    fmt.Println(answer)
}
```

**Java**

```java
// Maven: ai.webscraping:webscraping-ai:4.2.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.QuestionOptions;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
String answer = client.question(QuestionOptions.builder()
    .url("https://dining-platform.com/restaurant/italian-bistro")
    .question("What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?")
    .build());
System.out.println(answer);
```

**C#**

```csharp
// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var answer = await client.QuestionAsync(new QuestionRequest {
    Url = "https://dining-platform.com/restaurant/italian-bistro",
    Question = "What do diners praise most? What are common complaints? Is it good for dates, families, or business meals?",
});
Console.WriteLine(answer);
```

## Why Use WebScraping.AI

**Multi-Platform:** Extract from any dining or delivery platform.

**Menu Parsing:** Structured menu data with items, prices, and descriptions.

**Review Analysis:** AI-powered sentiment analysis of reviews.

**Normalized Data:** Consistent format across all sources.

**Scale:** Collect data on thousands of restaurants.

#### Use Cases

**Food Discovery Apps**

Build comprehensive restaurant databases

**Market Research**

Analyze dining trends and pricing

**Competitive Intelligence**

Monitor competitor restaurants

**Menu Analytics**

Track menu trends and pricing strategies

## Related Use Cases

More travel & hospitality solutions

[Hotel Reviews](https://webscraping.ai/use-cases/hotel-review-aggregation): Aggregate hotel reviews and ratings.

[Travel Prices](https://webscraping.ai/use-cases/travel-price-tracking): Monitor flight and hotel prices.

[Price Monitoring](https://webscraping.ai/use-cases/price-monitoring): Track competitor pricing.

## Start Collecting Restaurant Data

Get started with 2,000 free API credits. No credit card required.

[Start Free Trial](https://webscraping.ai/auth/sign_up)[View API Documentation](https://webscraping.ai/docs)