DoorDash Scraper

What DoorDash Scraper can do

• Two ways to find stores. Run keyword searches localized to a city, or paste store links or bare numeric IDs directly. No need to build URLs by hand.
• One rich record per store. Meta (name, rating, price tier, cuisines, geo) is always included; menu, contact info and reviews are added on top when you turn them on.
• The exact numeric rating count. Not a rounded bucket like "500+": the real count, plus the full 1 to 5 star histogram, review theme highlights and the Google rating aggregate. The written review text itself is capped at roughly the 5 most recent public reviews per store; see the reviews note under Input Parameters.
• Full menu with markdown detection. Item names, prices, photos and dietary tags, with isOnSpecial, savingsAmount and discountPercent derived from the store's own listed price and strikethrough price.
• Pay only for what you turn on. Menu, contact info and reviews all come from one store-detail fetch, billed as a single surcharge per returned store no matter how many of the three you enable; a lean search with all three off skips that fetch and surcharge entirely.
• Opening hours by day, phone number, website and precise latitude and longitude for every enriched store.

Choose what to collect

These inputs let you configure DoorDash Scraper - Menus, Prices, Reviews & Ratings. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "storeId": "1673363",
  "name": "Sample Pizza Place",
  "url": "https://www.doordash.com/store/1673363/",
  "rating": 4.5,
  "ratingCount": 1234,
  "priceTier": "$$",
  "cuisines": [
    "Pizza",
    "Italian"
  ],
  "city": "Sampleton",
  "state": "CA",
  "latitude": 25,
  "longitude": 55,
  "etaMinutes": 25,
  "deliveryFee": "$0 delivery fee",
  "isSponsored": false,
  "isDashpass": true,
  "phone": "+10000000000",
  "website": "https://example.com",
  "contact": {
    "phone": "+10000000000",
    "website": "https://example.com",
    "hours": [
      {
        "day": "MONDAY",
        "slots": [
          "10 AM - 10 PM"
        ]
      }
    ],
    "address": {
      "street": "1 Sample St",
      "city": "Sampleton",
      "state": "CA"
    }
  },
  "menu": {
    "categories": [
      {
        "name": "Most Ordered",
        "numItems": 6
      }
    ],
    "items": [
      {
        "name": "Sample Item",
        "price": "$7.99",
        "strikethroughPrice": "$9.99",
        "isOnSpecial": true,
        "savingsAmount": 2,
        "discountPercent": 20,
        "dietaryTags": [
          "Vegetarian"
        ]
      }
    ],
    "popularItems": [
      {
        "name": "Sample Item",
        "price": "$9.99",
        "strikethroughPrice": "",
        "isOnSpecial": false,
        "savingsAmount": null,
        "discountPercent": null
      }
    ]
  },
  "menuItemCount": 42,
  "reviews": {
    "avgRating": 4.5,
    "numRatings": 1234,
    "numReviews": 18,
    "histogram": {
      "1": 5,
      "2": 3,
      "3": 4,
      "4": 20,
      "5": 90
    },
    "items": [
      {
        "reviewer": "Jane D",
        "stars": 5,
        "text": "Sample review text.",
        "isVerified": true
      }
    ],
    "themes": [
      {
        "label": "Great value",
        "count": 12,
        "sentiment": "POSITIVE"
      }
    ],
    "google": {
      "avgRating": 4.4,
      "numRatings": 500
    }
  },
  "reviewCount": 18
}

Ways to use this data

• Food delivery market research: compare pricing tiers, delivery fees and ETAs for a cuisine across a city or a whole metro area.
• Local business directories: republish store contact details, opening hours and menus for a region.
• Competitive intelligence for restaurants: track a competitor's menu prices, specials and rating trends over time with Incremental mode.
• Data science and demand modeling: build historical datasets of ratings, reviews and menu changes for machine learning.
• Lead generation and outreach: find stores that are missing a website or offering deals right now.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor