DoorDash Scraper - Extract Restaurant & Store Data with Menus

Scrape comprehensive data from DoorDash including restaurants, stores, menus, pricing, and ratings. Perfect for market research, competitive analysis, and food industry intelligence.

Why Use DoorDash Scraper?

DoorDash is the #1 food delivery platform in the US. This scraper helps you:

• Analyze Menu Pricing: Track competitor menu items and pricing
• Research Markets: Understand restaurant density by location and cuisine
• Monitor Competition: Track ratings, reviews, and menu changes
• Build Restaurant Databases: Create comprehensive food service listings
• Franchise Research: Analyze chain restaurant presence and performance

Features

Multi-Mode Scraping

• Search Mode: Find stores by keyword and location
• Profile Mode: Extract detailed info from specific store pages
• Menu Mode: Deep dive into menu items and pricing

Store Types Supported

• Restaurants
• Grocery Stores
• Convenience Stores
• Alcohol/Liquor Stores
• Retail/Retail Stores

Data Extracted

Field	Description
Store Name	Restaurant/store name
Store Type	Category (restaurant, grocery, etc.)
Cuisine Types	Food categories served
Address	Full delivery address
Rating	Average customer rating
Review Count	Total reviews
Delivery Fee	Base delivery charge
Delivery Time	Estimated delivery range
Price Level	$, $$, $$$, $$$$
Menu Items	Full menu with categories
Item Prices	Current pricing
Item Descriptions	Menu item details
Popular Items	Highlighted dishes
Operating Hours	Store hours

Input Configuration

Basic Search

{
  "scrapeType": "search",
  "searchTerm": "burger",
  "location": "San Francisco, CA",
  "maxResults": 100
}

Store Profile

{
  "scrapeType": "store_profile",
  "storeUrl": "https://www.doordash.com/store/restaurant-name-123456",
  "includeMenu": true
}

Filtered Search

{
  "scrapeType": "search",
  "searchTerm": "pizza",
  "location": "Los Angeles, CA",
  "storeType": "restaurant",
  "includeMenu": true,
  "maxResults": 200
}

Output Format

{
  "storeName": "Burger Palace",
  "storeType": "restaurant",
  "cuisineTypes": ["American", "Burgers", "Fast Food"],
  "address": "123 Main St, San Francisco, CA 94102",
  "rating": 4.7,
  "reviewCount": 892,
  "deliveryFee": "$2.99",
  "deliveryTime": "25-35 min",
  "priceLevel": "$$",
  "menu": [
    {
      "category": "Burgers",
      "items": [
        {
          "name": "Classic Cheeseburger",
          "price": "$12.99",
          "description": "1/2 lb beef patty with cheddar...",
          "isPopular": true
        }
      ]
    }
  ],
  "operatingHours": {
    "monday": "11:00 AM - 10:00 PM",
    "tuesday": "11:00 AM - 10:00 PM"
  },
  "doordashUrl": "https://www.doordash.com/store/..."
}

Use Cases

Competitive Pricing Analysis

Monitor competitor menu prices and special offers in your market.

Market Expansion Research

Analyze restaurant density and cuisine distribution before entering new markets.

Menu Optimization

Compare menu structures and pricing across similar restaurants.

Franchise Performance

Track chain restaurant ratings and presence across locations.

Food Industry Reports

Generate comprehensive food delivery market reports.

Demo Mode

Enable demoMode: true to test with sample data. Perfect for testing integrations and understanding output format before running production scrapes.

Pricing

Pay-per-result pricing:

• $0.003 per store listing
• $0.001 per menu item extracted

Example: 100 restaurants with 50 menu items each = $5.30

Tips for Best Results

1. Use Delivery Addresses: Location should be a valid delivery address
2. Filter by Store Type: Focus on specific categories for cleaner data
3. Include Menus Selectively: Menu extraction adds time and cost
4. Batch by Cuisine: Run separate searches for different food types

Frequently Asked Questions

Does this include real-time delivery availability?

Yes, the scraper captures current delivery status and estimated times.

Can I track price changes over time?

Yes, run scheduled scrapes and compare results to track pricing trends.

What about DashPass pricing?

DashPass member pricing is indicated when available.

How often should I rescrape?

Menus and prices can change frequently - weekly scrapes recommended for pricing data.

Related Actors

• Grubhub Scraper - Compare with Grubhub data
• Yelp Scraper - Restaurant reviews and ratings

Support

• Documentation: Full input schema available in the Input tab
• Issues: Report bugs via Apify support

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Built by John Rippy - 2025 Zapier Automation Hero of the Year

Power your food industry research with comprehensive DoorDash data.