DoorDash Restaurant & Menu Scraper

Scrape DoorDash for restaurant listings with full menus, item prices, ratings, delivery fees, delivery times, cuisine types, and reviews. Search by city or address. Filter by cuisine. Export to JSON, CSV, or Excel.

What data can you extract?

For each restaurant, the scraper extracts:

Field	Description	Example
name	Restaurant name	"Joe's Pizza"
address	Street address	"123 Broadway, New York, NY 10001"
rating	Average rating (0-5)	4.7
reviewCount	Number of ratings	1234
deliveryFee	Delivery fee	"Free" or "$2.99"
deliveryTime	Estimated delivery time	"25-35 min"
priceRange	Price level	"$$"
cuisine	Cuisine type(s)	"Italian, Pizza"
menu	Full menu with items	Array of menu items
menuItemCount	Number of menu items	45
url	DoorDash restaurant URL	"https://www.doordash.com/store/..."
image	Restaurant header image	URL

Each menu item includes:

Field	Description	Example
name	Item name	"Margherita Pizza"
description	Item description	"Fresh mozzarella, tomato, basil"
price	Item price	"$14.99"
image	Item image URL	URL
category	Menu section	"Pizzas"
isPopular	Whether marked as popular	true/false
calories	Calorie count (if available)	"850"

Use cases

• Market research — Analyze food delivery trends, pricing, and competition across cities
• Competitive intelligence — Track competitor restaurant menus, prices, and ratings
• Pricing analysis — Compare delivery fees, item prices, and price ranges across restaurants
• Lead generation — Build lists of restaurants in specific areas for B2B outreach
• Data journalism — Analyze food delivery ecosystems and pricing patterns
• Academic research — Study food deserts, pricing disparities, and restaurant distribution

Input configuration

Locations (required)

List of cities, addresses, or zip codes to search:

{
  "locations": ["New York, NY", "Los Angeles, CA", "Chicago, IL"]
}

Supported formats:

• City and state: "New York, NY"
• Zip code: "90210"
• Full address: "123 Main St, Chicago, IL"

Cuisine filter (optional)

Filter results by cuisine type:

{
  "locations": ["New York, NY"],
  "cuisine": "pizza"
}

Supported cuisines: pizza, chinese, mexican, sushi, japanese, burgers, thai, indian, italian, korean, vietnamese, mediterranean, american, seafood, wings, breakfast, desserts, vegan, healthy, sandwiches, chicken, bbq, ramen, pho, tacos, salads, soup, coffee, bakery, and more.

Max results

Maximum number of restaurants to scrape per location (default: 200):

{
  "locations": ["New York, NY"],
  "maxResults": 100
}

Set to 0 for unlimited results.

Include menus

Whether to scrape full menus for each restaurant (default: true):

{
  "locations": ["New York, NY"],
  "includeMenus": false
}

Disabling menus produces faster results with only restaurant-level data.

Proxy configuration

DoorDash has aggressive bot detection. Residential proxies are strongly recommended:

{
  "locations": ["New York, NY"],
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example output

{
  "name": "Joe's Pizza",
  "address": "7 Carmine St, New York, NY 10014",
  "rating": 4.7,
  "reviewCount": 2847,
  "deliveryFee": "$1.99",
  "deliveryTime": "20-30 min",
  "priceRange": "$$",
  "cuisine": "Pizza, Italian",
  "menu": [
    {
      "name": "Cheese Pizza (Large)",
      "description": "Classic New York style cheese pizza",
      "price": "$22.00",
      "image": "https://img.cdn.doordash.com/...",
      "category": "Whole Pizzas",
      "isPopular": true,
      "calories": "2400"
    },
    {
      "name": "Pepperoni Slice",
      "description": "Hand-tossed pepperoni pizza slice",
      "price": "$4.50",
      "image": "https://img.cdn.doordash.com/...",
      "category": "Pizza by the Slice",
      "isPopular": true,
      "calories": "350"
    }
  ],
  "menuItemCount": 28,
  "url": "https://www.doordash.com/store/joes-pizza-new-york-123456/",
  "image": "https://img.cdn.doordash.com/...",
  "searchLocation": "New York, NY",
  "searchCuisine": "pizza",
  "resultPosition": 1,
  "scrapedAt": "2026-03-01T12:00:00.000Z"
}

Performance and tips

• Use proxies — DoorDash has strong anti-bot measures. Residential proxies are essential for reliable scraping.
• Start small — Test with maxResults: 10 before running large scrapes.
• Disable menus for speed — Set includeMenus: false for 3-5x faster scraping when you only need restaurant-level data.
• One location at a time — For best results, start with a single location to verify your proxy setup works.
• City format — Use "City, ST" format (e.g., "New York, NY") for best URL matching.

Pricing

This actor uses pay-per-event pricing:

• $0.005 per restaurant scraped (including menu data when enabled)

Legal notice

This actor is designed for personal research and data analysis. Users are responsible for ensuring their use complies with DoorDash's Terms of Service and applicable laws. The actor respects rate limits and does not bypass authentication.

Support

Found a bug or have a feature request? Open an issue on GitHub or contact ricardo.yudi@gmail.com.

Built by Sovereign AI.

Integration — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("sovereigntaylor/doordash-scraper").call(run_input={
    "searchTerm": "doordash",
    "maxResults": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title', item.get('name', 'N/A'))}")

Integration — JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('sovereigntaylor/doordash-scraper').call({
    searchTerm: 'doordash',
    maxResults: 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(item => console.log(item.title || item.name || 'N/A'));