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🍔 FOOD DELIVERY API v1.0.3 Real-time Menu & Pricing

Delivery Hero Food Delivery API

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

✓ Sub-150ms Latency ✓ Real-time Menu Data ✓ 30-min Delivery Tracking ✓ 50M+ Daily Requests

📋 Food Delivery API Overview

120ms
Avg Response Time
2
Platforms Supported
2k+
Active Users
Real-time
Data Freshness

Stop worrying about dynamic menus and real-time price changes. Our UberEats 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 Delivery Hero including dish name, price, ratings, availability, ingredients, restaurant info via scraping API

Real-time UberEats Menu Data

We handle the complexity of food delivery data extraction from UberEats. Our engine manages dynamic menus, restaurant-specific pricing, and real-time availability to ensure 99.9% data accuracy.

Restaurant Level Intelligence

Get restaurant-specific menu data with location-based filtering. Track dish availability, pricing, ratings, and delivery times across different areas 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 UberEats extraction API delivers the most accurate food delivery data available.

🎮 Live Food Delivery API Console

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

Headers

Response

200 OK (120ms)
{
    "status": "success",
    "data": {
        "platform": "ubereats",
        "location": "Andheri East, Mumbai",
        "restaurants": [
            {
                "id": "rest_12345",
                "name": "Pizza Express",
                "cuisine": "Italian",
                "rating": 4.5,
                "reviews_count": 1250,
                "delivery_time": "25-35 min",
                "delivery_fee": 29,
                "min_order": 149,
                "is_open": true,
                "distance": "1.2 km",
                "image_url": "https://example.com/pizza-express.jpg",
                "menu": [
                    {
                        "id": "item_67890",
                        "name": "Margherita Pizza",
                        "description": "Fresh mozzarella, tomato sauce, basil",
                        "price": 299,
                        "original_price": 399,
                        "discount": "25%",
                        "category": "Pizzas",
                        "is_available": true,
                        "is_veg": true
                    },
                    {
                        "id": "item_67891",
                        "name": "Garlic Bread",
                        "description": "Toasted bread with garlic butter",
                        "price": 99,
                        "original_price": 129,
                        "discount": "23%",
                        "category": "Starters",
                        "is_available": true,
                        "is_veg": true
                    }
                ]
            }
        ],
        "meta": {
            "request_id": "req_fd_abc123",
            "timestamp": "2024-01-15T10:30:00Z",
            "data_freshness": "real-time"
        }
    }
}

📊 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 string
restaurants array[object]
id string
name string
menu array[object]

💻 Food Delivery API Code Examples

cURL
curl -X GET "https://api.scraperscoop.com/v1/food-delivery/ubereats/restaurants?cuisine=italian&city=mumbai" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "X-City: mumbai" \
  -H "Content-Type: application/json"
JavaScript
fetch('https://api.scraperscoop.com/v1/food-delivery/ubereats/restaurants?cuisine=italian&city=mumbai', {
    method: 'GET',
    headers: {
        'Authorization': 'Bearer YOUR_API_KEY',
        'X-City': 'mumbai',
        'Content-Type': 'application/json'
    }
})
.then(response => response.json())
.then(data => {
    console.log('Location:', data.data.location);
    console.log('Restaurants found:', data.data.restaurants.length);
    console.log('First restaurant:', data.data.restaurants[0].name, '⭐', data.data.restaurants[0].rating);
})
.catch(error => console.error('Error:', error));
Python
import requests

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

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

# Process restaurant data
for restaurant in data['data']['restaurants']:
    print(f"{restaurant['name']}: ⭐ {restaurant['rating']} - {restaurant['delivery_time']}")
    for item in restaurant['menu'][:3]:  # First 3 menu items
        print(f"  🍽️ {item['name']}: ₹{item['price']}")
PHP
<?php
$ch = curl_init();

$url = "https://api.scraperscoop.com/v1/food-delivery/ubereats/restaurants?cuisine=italian&city=mumbai";

curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    'Authorization: Bearer YOUR_API_KEY',
    'X-City: mumbai',
    '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'] . "\n";
}
?>
Ruby
require 'uri'
require 'net/http'
require 'json'

url = URI("https://api.scraperscoop.com/v1/food-delivery/ubereats/restaurants?cuisine=italian&city=mumbai")

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"] = "mumbai"
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']}"
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 availability status as they happen on the platform.

📍

Do you support location-based restaurant searches?

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

// Example headers
X-City: mumbai
X-Area: andheri-east
// or
X-Pincode: 400069
🍕

Which food delivery platforms do you support?

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

📋

Can I track menu changes and out-of-stock items?

Absolutely! Our API includes real-time menu status with item availability tracking. You'll know exactly when dishes go out of stock and when they're replenished, with webhook notifications available for instant alerts.

💰

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 $29/month for 10,000 requests. Enterprise plans offer custom limits and dedicated support.

🔄

Do you support multi-platform comparison?

Yes, our APIs allow you to query multiple platforms in a single request for price comparison, menu analysis, and delivery time comparison across UberEats, DoorDash, Zomato, and more.

🎯 Food Delivery Use Cases

💰

Competitive Price Monitoring

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

📋

Menu Intelligence

Monitor menu changes, track new dish launches, and analyze popular items across restaurants and platforms.

🎯

Promotion Tracking

Track discounts, BOGO offers, free delivery campaigns, and promotional deals in real-time across platforms.

📍

Restaurant Analytics

Analyze location-wise restaurant performance, delivery time patterns, and regional demand trends.

📱

Food Discovery Apps

Build apps that show real-time menus, prices, and availability from multiple food delivery platforms.

📈

Market Research

Analyze cuisine trends, new restaurant openings, pricing patterns, and consumer behavior in food delivery.

Trusted by Food Delivery Integrators

★★★★★

"The real-time menu tracking is incredible. We can now monitor price changes across all food delivery platforms with sub-second latency."

Priya Sharma CTO, FoodWatch India
★★★★★

"Location-based restaurant filtering works perfectly. We're able to track restaurant availability across Mumbai with pinpoint accuracy."

Rahul Mehta Product Lead, FoodCompare
★★★★★

"The multi-platform support is a game-changer. We can now compare prices across UberEats, DoorDash, and Zomato with a single API call."

Anjali Kapoor Founder, MenuMonitor