TRAVEL & HOSPITALITY

Restaurant Data Aggregation

Collect restaurant information, menus, reviews, and ratings from dining platforms. Power food discovery apps and market analysis.

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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 -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"]
# }
# 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"]
# }
// 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
// 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"]
// }
# 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 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"]
// }
// Maven: ai.webscraping:webscraping-ai:4.0.0
// 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"]
// }
// 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 -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?"

# 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)

// 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
// 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;

# 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 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)
}

// Maven: ai.webscraping:webscraping-ai:4.0.0
// 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);

// 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

Aggregate hotel reviews and ratings.

Travel Prices

Monitor flight and hotel prices.

Price Monitoring

Track competitor pricing.

Start Collecting Restaurant Data

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