Doordash Restaurant Scraper

Extract restaurant data from DoorDash — menus, prices, ratings, and store details.

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Quick Start

Get restaurant details

{
  "mode": "store_info",
  "store_url": "https://www.doordash.com/store/burger-king-miami-75293/",
  "maxRetries": 5,
  "useApifyProxy": true,
  "proxyCountry": "US"
}

Extract the menu

{
  "mode": "menu",
  "store_url": "https://www.doordash.com/store/burger-king-miami-75293/",
  "maxRetries": 5,
  "useApifyProxy": true,
  "proxyCountry": "US"
}

Tip: Copy the restaurant URL directly from the DoorDash website.

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Features

Feature	Description
Complete Menu Data	Full menus with prices, descriptions, images, and dietary tags
Detailed Store Profiles	Address, ratings, delivery fees, and business categories
Real-Time Data	Fresh data directly from DoorDash platform
Structured JSON Output	Clean, validated data ready for analysis

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Use Cases

• Market Research - Analyze restaurant offerings and pricing across locations
• Price Monitoring - Track menu prices and promotional offers over time
• Competitor Analysis - Compare restaurants by ratings, fees, and menu offerings
• Lead Generation - Build targeted lists of restaurants for sales outreach

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Input Parameters

Parameter	Description
mode	store_info or menu
store_url	Full DoorDash restaurant URL
maxRetries	Retry attempts with proxy rotation (1-10). Recommended: 5
request_waiting	Delay between requests in seconds (3-15). Default: 5
useApifyProxy	Enable residential proxy. Must be true
proxyCountry	Proxy country: US, CA, GB, DE, FR

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Output Examples

Store Info

[
  {
    "store_id": "75293",
    "name": "Burger King",
    "slug": "burger-king-miami-75293",
    "description": "Burger Joint",
    "rating": 4.2,
    "num_ratings": 1555,
    "price_range": "$$",
    "delivery_fee": "$0 delivery fee, first order",
    "address": "20505 Old Cutler Road",
    "city": "Miami",
    "state": "FL",
    "latitude": 25.576892,
    "longitude": -80.338924,
    "is_open": true,
    "categories": ["Burgers", "Fast Food", "American"],
    "image_url": "https://img.cdn4dd.com/...",
    "url": "https://www.doordash.com/store/burger-king-miami-75293/"
  }
]

Menu

[
  {
    "store_name": "Burger King",
    "store_id": "75293",
    "item_id": "19887701558",
    "name": "Whopper",
    "description": "America's Favorite Burger, ¼ lb of flame-grilled beef...",
    "category": "Most Ordered",
    "price": 7.29,
    "price_display": "$7.29",
    "is_available": true,
    "is_popular": true,
    "image_url": "https://img.cdn4dd.com/...",
    "calories": 657,
    "dietary_tags": ["Contains Gluten"],
    "badges": ["#1 Most liked"],
    "rating": "92% (156)"
  }
]

Note: Fields original_price and original_price_display appear only when the item has a discount.

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Code Examples

Python

from apify_client import ApifyClient

client = ApifyClient("your_apify_token")

run = client.actor("YOUR_USERNAME/doordash-restaurant-scraper").call(run_input={
    "mode": "menu",
    "store_url": "https://www.doordash.com/store/burger-king-miami-75293/"
})

items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Found {len(items)} menu items")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'your_apify_token' });

const run = await client.actor('YOUR_USERNAME/doordash-restaurant-scraper').call({
    mode: 'menu',
    store_url: 'https://www.doordash.com/store/burger-king-miami-75293/'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Found ${items.length} menu items`);

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Example Restaurant URLs

Restaurant	URL
Burger King Miami	https://www.doordash.com/store/burger-king-miami-75293/
McDonald's Miami Beach	https://www.doordash.com/store/mcdonald's-miami-beach-24608/
Wendy's Doral	https://www.doordash.com/store/wendys-doral-24686823/

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FAQ

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Support

1. Check the FAQ above
2. Test with default values using the Burger King example URL
3. Contact support through Apify