🍔 FOOD DELIVERY API v1.0.0 Real-time Menu Streaming

Grubhub Food Delivery API

Extract food menu product data from Grubhub including dish name, price, ratings, availability, ingredients, restaurant info via scraping API

✓ Sub-150ms Latency ✓ Real-time Menu Updates ✓ 30-min Delivery Tracking ✓ 25M+ Daily Requests

📋 Food Delivery API Overview

120ms
Avg Response Time
3
Platforms Supported
3k+
Active Users
Real-time
Menu Freshness

Stop worrying about dynamic menus and real-time price changes. Our Uber Eats Food Delivery API provides high-fidelity, real-time data extraction so you can track restaurant menus, prices, and availability as they happen.

Extract food menu product data from Grubhub including dish name, price, ratings, availability, ingredients, restaurant info via scraping API

Real-time Uber Eats Data

We handle the complexity of food delivery data extraction from Uber Eats. Our engine manages dynamic content, location-based restaurant listings, and real-time menu updates to ensure 99.9% data accuracy.

Restaurant-Level Intelligence

Get restaurant-specific menu data with location-based filtering. Track menu items, prices, ratings, and delivery availability across different areas and cuisines in real-time.

Scale Your Food Delivery Insights

Whether you need competitive price monitoring, menu tracking, or market analysis, our infrastructure scales with you. Built for real-time intelligence, our Uber Eats extraction API delivers the most accurate food delivery data available.

🎮 Live Food Delivery API Console

https://api.mydatascraper.com/v1/food-delivery/

Headers

Response

200 OK (120ms)
{
    "status": "success",
    "data": {
        "platform": "uber_eats",
        "location": {
            "city": "New York",
            "area": "Manhattan",
            "coordinates": {
                "lat": 40.7831,
                "lng": -73.9712
            }
        },
        "restaurants": [
            {
                "id": "rest_12345",
                "name": "Luigi's Italian Kitchen",
                "cuisine": ["Italian", "Pizza", "Pasta"],
                "rating": 4.7,
                "review_count": 1250,
                "price_level": "$$",
                "delivery_time": "25-35 min",
                "delivery_fee": 2.99,
                "minimum_order": 15,
                "promotions": ["Free delivery", "20% off first order"],
                "menu": [
                    {
                        "category": "Pasta",
                        "items": [
                            {
                                "id": "item_67890",
                                "name": "Spaghetti Carbonara",
                                "description": "Creamy egg sauce with pancetta and parmesan",
                                "price": 18.99,
                                "original_price": 22.99,
                                "discount": "18%",
                                "popular": true,
                                "dietary": ["Contains Eggs", "Contains Dairy"],
                                "image_url": "https://example.com/images/carbonara.jpg"
                            },
                            {
                                "id": "item_67891",
                                "name": "Fettuccine Alfredo",
                                "description": "Creamy parmesan sauce with fresh pasta",
                                "price": 16.99,
                                "original_price": 16.99,
                                "discount": null,
                                "popular": false,
                                "dietary": ["Vegetarian", "Contains Dairy"],
                                "image_url": "https://example.com/images/alfredo.jpg"
                            }
                        ]
                    }
                ],
                "operational": true,
                "accepting_orders": true
            }
        ],
        "meta": {
            "request_id": "req_fd_abc123",
            "timestamp": "2024-01-15T10:30:00Z",
            "data_freshness": "real-time",
            "total_restaurants": 47
        }
    }
}

📊 Food Delivery Response Fields

Field
dish_name
price
ratings
reviews
ingredients
image
cuisine
restaurant
delivery_time

Food Delivery Data Structure

response object
status string
data object
platform string
location object
city string
area string
restaurants array[object]
name string
menu array[object]

💻 Food Delivery API Code Examples

cURL
curl -X GET "https://api.mydatascraper.com/v1/food-delivery/uber_eats/restaurants?cuisine=italian&city=new-york" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "X-City: new-york" \
  -H "Content-Type: application/json"
JavaScript
fetch('https://api.mydatascraper.com/v1/food-delivery/uber_eats/restaurants?cuisine=italian&city=new-york', {
    method: 'GET',
    headers: {
        'Authorization': 'Bearer YOUR_API_KEY',
        'X-City': 'new-york',
        'Content-Type': 'application/json'
    }
})
.then(response => response.json())
.then(data => {
    console.log('Found restaurants:', data.data.restaurants.length);
    data.data.restaurants.forEach(restaurant => {
        console.log(`${restaurant.name}: ${restaurant.rating}⭐ (${restaurant.delivery_time})`);
        console.log('Popular items:', restaurant.menu[0]?.items[0]?.name);
    });
})
.catch(error => console.error('Error:', error));
Python
import requests

url = "https://api.mydatascraper.com/v1/food-delivery/uber_eats/restaurants"
headers = {
    "Authorization": "Bearer YOUR_API_KEY",
    "X-City": "new-york",
    "Content-Type": "application/json"
}
params = {
    "cuisine": "italian",
    "city": "new-york"
}

response = requests.get(url, headers=headers, params=params)
data = response.json()

# Process restaurant data
for restaurant in data['data']['restaurants']:
    print(f"{restaurant['name']} - Rating: {restaurant['rating']}⭐")
    print(f"Delivery: {restaurant['delivery_time']}, Fee: ${restaurant['delivery_fee']}")
    
    # Show menu items
    for category in restaurant['menu']:
        for item in category['items'][:2]:  # First 2 items
            print(f"  • {item['name']}: ${item['price']}")
    print("---")
PHP
<?php
$ch = curl_init();

$url = "https://api.mydatascraper.com/v1/food-delivery/uber_eats/restaurants?cuisine=italian&city=new-york";

curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    'Authorization: Bearer YOUR_API_KEY',
    'X-City: new-york',
    'Content-Type: application/json'
]);

$response = curl_exec($ch);
curl_close($ch);

$data = json_decode($response, true);
foreach ($data['data']['restaurants'] as $restaurant) {
    echo $restaurant['name'] . " - " . $restaurant['rating'] . " stars\n";
    echo "Delivery: " . $restaurant['delivery_time'] . "\n\n";
}
?>
Ruby
require 'uri'
require 'net/http'
require 'json'

url = URI("https://api.mydatascraper.com/v1/food-delivery/uber_eats/restaurants?cuisine=italian&city=new-york")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = "Bearer YOUR_API_KEY"
request["X-City"] = "new-york"
request["Content-Type"] = "application/json"

response = http.request(request)
data = JSON.parse(response.body)

data['data']['restaurants'].each do |restaurant|
  puts "#{restaurant['name']} - #{restaurant['rating']}⭐"
  puts "Delivery: #{restaurant['delivery_time']}"
end

Food Delivery API FAQs

How real-time is your food delivery data?

Our data is streamed in real-time with average latency under 150ms. We monitor menu changes, price updates, and restaurant availability as they happen on the platform.

📍

Do you support location-based restaurant queries?

Yes, all our food delivery APIs support location-based filtering. You can specify city, area, neighborhood, pincode, or specific coordinates to get accurate, localized restaurant listings and menus.

// Example headers
X-City: new-york
X-Area: manhattan
// or
X-Pincode: 10001
X-Latitude: 40.7831
X-Longitude: -73.9712
🏪

Which food delivery platforms do you support?

We support all major food delivery platforms including Uber Eats, DoorDash, Grubhub, Zomato, Swiggy, Deliveroo, Postmates, and Just Eat. Each platform has dedicated endpoints for restaurants, menus, prices, and availability.

📋

Can I get complete restaurant menus?

Absolutely! Our API provides full menu access including categories, items, descriptions, prices, modifiers, dietary information, and photos. You can get complete menus for any restaurant on the platform.

💰

Do you track price changes and promotions?

Yes, we monitor price changes, discounts, promotions, and special offers in real-time. You can track historical price data, flash sales, and limited-time offers across all supported platforms.

🔄

Can I compare restaurants across multiple platforms?

Yes, our APIs allow you to query multiple food delivery platforms in a single request for restaurant comparison, price analysis, and delivery time comparison across Uber Eats, DoorDash, Grubhub, and more.

Do you provide restaurant ratings and reviews?

Yes, we extract ratings, review counts, and can provide detailed review analysis including sentiment scores, common keywords, and rating trends for restaurants on all platforms.

💰

How is pricing calculated for food delivery APIs?

Pricing is based on the number of API calls and platforms accessed. Free tier includes 1,000 requests/month. Pro plans start at $49/month for 10,000 requests. Enterprise plans offer custom limits and dedicated support.

🎯 Food Delivery Use Cases

📊

Competitive Price Monitoring

Track real-time menu prices across all food delivery platforms to optimize your pricing strategy and stay competitive.

📋

Menu Aggregation

Build comprehensive menu databases with items, descriptions, prices, photos, and dietary information from multiple platforms.

🎯

Promotion Tracking

Track discounts, BOGO offers, free delivery promotions, and flash sales in real-time across platforms.

📍

Restaurant Discovery Apps

Build apps that help users discover restaurants, browse menus, and compare prices and delivery times across platforms.

Review Analytics

Analyze restaurant ratings, customer reviews, and sentiment to identify trends and insights.

📈

Market Research

Analyze cuisine trends, popular dishes, pricing patterns, and consumer behavior in the food delivery space.

⏱️

Delivery Time Analytics

Track estimated delivery times, actual delivery performance, and availability patterns across different areas.

🔍

Restaurant SEO Monitoring

Monitor restaurant visibility, search rankings, and presence across food delivery platforms.

Trusted by Food Delivery Integrators

★★★★★

"The real-time menu tracking is incredible. We can now monitor price changes and new menu items across all food delivery platforms instantly."

Priya Sharma CTO, MenuWatch India
★★★★★

"Location-based restaurant search works perfectly. We're able to track restaurant availability across Manhattan with sub-second latency."

Michael Chen Product Lead, FoodFinder NYC
★★★★★

"The multi-platform comparison is a game-changer. We can now compare prices and delivery times across Uber Eats, DoorDash, and Grubhub with a single API call."

Sarah Johnson Founder, MealCompare