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Doordash Restaurant Scraper

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from $25.00 / 1,000 results

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Doordash Restaurant Scraper

Doordash Restaurant Scraper

Scrape DoorDash restaurant menus and store details. Extract item prices, descriptions and images, plus store ratings, address and hours. Ideal for market research and price monitoring.

Pricing

from $25.00 / 1,000 results

Rating

0.0

(0)

Developer

Yasmany Grijalba Casanova

Yasmany Grijalba Casanova

Maintained by Community

Actor stats

3

Bookmarked

160

Total users

2

Monthly active users

17 days ago

Last modified

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

Apify Actor Proxy United States


ℹ️ Bring your own proxy DoorDash serves store pages only to requests that clear its validation, so this Actor needs a proxy with anti-blocking support, supplied in the customProxyUrl field. Providers offer this capability under names such as stealth, unblocking or scraping browser; any of them works.

A run without one stops in a few seconds with a clear message, so you are not charged for scraping time that would produce nothing.


Quick Start

Get restaurant details

{
"mode": "store_info",
"store_url": "https://www.doordash.com/store/burger-king-miami-75293/",
"maxRetries": 5,
"customProxyUrl": "http://user:password@proxy.example.com:8080"
}

Extract the menu

{
"mode": "menu",
"store_url": "https://www.doordash.com/store/burger-king-miami-75293/",
"maxRetries": 5,
"customProxyUrl": "http://user:password@proxy.example.com:8080"
}

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


Features

FeatureDescription
Complete Menu DataFull menus with prices, descriptions, images, and dietary tags
Detailed Store ProfilesAddress, ratings, delivery fees, and business categories
Real-Time DataFresh data directly from DoorDash platform
Structured JSON OutputClean, validated data ready for analysis

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

Input Parameters

ParameterDescription
modestore_info or menu
store_urlFull DoorDash restaurant URL
maxRetriesRetry attempts with proxy rotation (1-10). Recommended: 5
request_waitingDelay between requests in seconds (3-15). Default: 5
customProxyUrlRequired. Your proxy with anti-blocking support

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/"
}
]
[
{
"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.


Integrations

Use the API tab on the Actor page to get ready-to-use code examples in Python, JavaScript, and cURL. The examples are auto-generated with the correct parameters for immediate integration.


Example Restaurant URLs

RestaurantURL
Burger King Miamihttps://www.doordash.com/store/burger-king-miami-75293/
McDonald's Miami Beachhttps://www.doordash.com/store/mcdonald's-miami-beach-24608/
Wendy's Doralhttps://www.doordash.com/store/wendys-doral-24686823/

FAQ


Support

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