🍔 DoorDash Scraper

Scrape store listings, full menus, featured items, and customer reviews from DoorDash with location-aware search, multi-URL support, and optional review extraction.

🎬 Video Tutorial

https://www.youtube.com/watch?v=q5PGi7bmdXw

Key Features

Comprehensive Store Data Extraction

• Store Identity name, description, cuisine type, business entity, and tag taxonomy with priority scores
• Ratings & Reviews average rating, total count, star distribution (1★–5★ breakdown), review count
• Pricing & Fees price range, delivery fee, pickup fee, surge indicators, DashPass eligibility
• Availability delivery ETA, pickup ETA, open/closed status, and full unavailability reasons
• Capabilities delivery, pickup, group order, scheduling, catering, drone delivery flags
• Location full address, GPS coordinates, distance from your delivery address, timezone
• Media header image, cover image, and all UGC photo assets with UUIDs

Menu Extraction

• Featured Items DoorDash's algorithmic "Featured Items" carousel with grid positions, recommendation signals, and badges (e.g. #1 Most liked)
• Menu Categories all menu categories including the "Most Ordered" section, with per-item ratings, badges, and card position signals
• Menu Hours daily open/close times per menu

Customer Reviews (Optional)

• Full review text, star rating, verification status, and timestamps
• Complete reviewer metadata display name, contribution count, reviewer tier
• marked_up_review_text review text with <<taggedItemId=>> markup linking mentions to specific menu items by ID
• Extracted tagged_item_ids for direct joins back to menu data

Two Scraping Modes

• Search mode paste any DoorDash search URL and scrape multiple stores at once
• Store mode paste a direct store URL and get full detail for that one store

Quick Start

Search for stores by keyword

{
  "address": "350 5th Ave, New York, NY",
  "startUrls": [
    { "url": "https://www.doordash.com/search/store/pizza?event_type=search" }
  ],
  "maxResults": 10
}

Scrape a specific store

{
  "address": "350 5th Ave, New York, NY",
  "startUrls": [
    { "url": "https://www.doordash.com/store/joes-pizza-145565" }
  ]
}

Scrape stores with reviews

{
  "address": "350 5th Ave, New York, NY",
  "startUrls": [
    { "url": "https://www.doordash.com/search/store/sushi?event_type=search" }
  ],
  "maxResults": 5,
  "fetchReviews": true,
  "maxReviews": 20
}

Multiple URLs in one run

{
  "address": "Chicago, IL",
  "startUrls": [
    { "url": "https://www.doordash.com/search/store/burgers?event_type=search" },
    { "url": "https://www.doordash.com/store/shake-shack-12345" }
  ],
  "maxResults": 10,
  "fetchReviews": true,
  "maxReviews": 0
}

📋 Input Configuration

Input Parameters

Address Field Why It Matters

DoorDash results are entirely location-dependent. A search for "pizza" in New York returns completely different stores from the same search in Los Angeles. If you leave this field blank, the Actor defaults to Chicago, IL and you may get results from the wrong area.

Always set address to match the city or neighborhood you want to scrape.

Supported URL Formats

DoorDash filter parameters in the URL (star rating, price range, DashPass, ETA, etc.) are honored automatically.

Full DoorDash store URLs containing cursor, ranking context, or other query parameters are fully supported. Extra parameters are ignored unless relevant.

📤 Output Structure

The Actor produces two record types in the same dataset, identified by the record_type field.

Store Record (record_type: "store")

One record per store. Contains store identity, ratings, fees, availability, location, media, featured items, and full menu categories all embedded in a single document.

{
  "record_type": "store",
  "store_id": "27544161",
  "name": "Lena's Italian Kitchen",
  "description": "Italian",
  "business": {
    "id": "29040069",
    "name": "Lena's Italian Kitchen",
    "vertical_id": 1
  },
  "tags": [
    { "id": "96", "name": "Italian", "priority": 99 },
    { "id": "9", "name": "Salads", "priority": 90 },
    { "id": "37", "name": "Casual Dining", "priority": 89 }
  ],
  "rating": 4.6,
  "num_ratings": 1167,
  "num_ratings_display": "1k+",
  "stars_distribution": { "one": 20, "two": 27, "three": 27, "four": 200, "five": 893 },
  "num_reviews": 31,
  "num_reviews_display": "30+ public reviews",
  "price_range": 2,
  "price_range_display": "$$",
  "currency": "USD",
  "is_dashpass": true,
  "delivery_fee_display": "$0 delivery fee",
  "delivery_fee_is_surging": false,
  "pickup_fee_display": "No fees",
  "is_open": false,
  "asap_minutes": null,
  "asap_status": {
    "is_available": false,
    "unavailable_status": "UNAVAILABLE_CLOSED",
    "unavailable_reason": "CLOSED",
    "display_reason": "Your address is not in this store's delivery area"
  },
  "asap_pickup_minutes": 15,
  "asap_pickup_status": {
    "is_available": false,
    "display_status": "Ready by 11:50 AM",
    "operating_summary": { ... }
  },
  "offers": {
    "delivery": true,
    "pickup": true,
    "group_order": true,
    "scheduling": true,
    "catering": false,
    "cannabis": false,
    "drone_delivery": false
  },
  "flags": {
    "is_newly_added": false,
    "is_convenience": false,
    "fulfills_own_deliveries": false
  },
  "address": "168 Mulberry St, New York, NY 10013, USA",
  "city": "New York",
  "state": "NY",
  "country": "US",
  "lat": 40.71956,
  "lng": -73.99734,
  "distance_from_consumer": "1.2 mi",
  "timezone": "America/New_York",
  "header_image": "https://img.cdn4dd.com/...",
  "cover_image": "https://img.cdn4dd.com/...",
  "cover_square_image": "https://img.cdn4dd.com/...",
  "additional_images": [
    { "url": "https://img.cdn4dd.com/u/media/...", "photo_uuid": "abc123" }
  ],
  "photo_count": "18 photos",
  "current_menu_id": "64599346",
  "menu_hours": [
    {
      "id": "64599346",
      "name": "Menu",
      "open_hours": [{ "open_time": "11:00:00", "close_time": "20:40:00" }],
      "display_hours": "11:00 AM - 8:40 PM"
    }
  ],
  "featured_items": {
    "collection_id": "recommended_items_for_you",
    "collection_name": "Featured Items",
    "collection_type": "mixed_grid_carousel",
    "num_rows": 2,
    "num_columns": 13,
    "total_items": 25,
    "items": [
      {
        "item_id": "11839454237",
        "name": "Pasta Fiorentina",
        "price_display": "$18.95",
        "price_cents": 1895,
        "image_url": "https://img.cdn4dd.com/...",
        "rating_pct": 94,
        "rating_count": 87,
        "badges": [
          { "text": "#1 Most liked", "type": "most_liked_1", "placement": "ITEM" }
        ],
        "recommendation": {
          "container": "recommended_items_for_you",
          "card_position": 0,
          "row": 0,
          "col": 0,
          "menu_id": "64599346",
          "category_id": "228676533"
        }
      }
    ]
  },
  "menu_categories": [
    {
      "category_id": "popular-items",
      "category_name": "Most Ordered",
      "is_popular": true,
      "collection_type": "item_list",
      "collection_position": 2,
      "visible_item_count": 5,
      "total_items": 12,
      "items": [
        {
          "item_id": "11839454237",
          "name": "Pasta Fiorentina",
          "description": "Spinach, mushroom, roasted garlic in a light cream sauce",
          "price_display": "$18.95",
          "price_cents": 1895,
          "image_url": "https://img.cdn4dd.com/...",
          "quick_add_eligible": true,
          "has_customization": true,
          "rating_pct": 94,
          "rating_count": 87,
          "badges": [
            { "text": "#1 Most liked", "type": "most_liked_1", "placement": "ITEM" }
          ],
          "card_position": 0,
          "cell_type": "SQUARE",
          "menu_id": "64599346",
          "category_id": "228676533"
        }
      ]
    }
  ],
  "url": "https://www.doordash.com/store/27544161",
  "_source": "doordash-scraper",
  "_scrapedAt": "2026-05-12T10:49:34.000Z"
}

Review Record (record_type: "review")

One record per customer review. The original DoorDash review payload is preserved intact, with dataset metadata and convenience fields added on top.

{
  "record_type": "review",
  "store_id": "27544161",
  "review_id": "a0d43b28-a5f4-4914-8ed3-8528e5f709e4",
  "reviewer_name": "Max G",
  "rating": 5,
  "tagged_item_ids": ["11839454237", "17241668102"],
  "consumer_review_uuid": "a0d43b28-a5f4-4914-8ed3-8528e5f709e4",
  "reviewer_display_name": "Max G",
  "star_rating": 5,
  "reviewed_at": "2026-04-27T02:23:34.680827Z",
  "review_text": "Lena's has great, big portions and the food is overall very tasty...",
  "is_verified": true,
  "experience": "DOORDASH",
  "review_source": "DOORDASH",
  "reviewer_data": {
    "display_name": "Max G",
    "description": "Emerging Expert • 15 contributions",
    "profile_image": { "url": "" },
    "is_verified": false,
    "creator_profile_uri": "/consumer/profile/1553580317",
    "consumer_id": "1553580317"
  },
  "consumer_review_source": "CONSUMER_REVIEW_SOURCE_DOORDASH",
  "marked_up_review_text": "Lena's has great, big portions... <<taggedItemId=11839454237>>Chicken Marsala<</taggedItemId>> was hearty...",
  "_source": "doordash-scraper",
  "_scrapedAt": "2026-05-12T10:49:34.000Z"
}

Store Record Field Reference

Review Record Field Reference

📊 Pre-Configured Dataset Views

1. Stores

All store records in a flat table identity, ratings, fees, availability, and embedded menu/featured data.

Fields: photo, store ID, name, cuisine, rating, ratings count, reviews count, price range, DashPass, open status, delivery ETA, delivery fee, pickup ETA, pickup fee, city, state, address, distance, featured items, menu categories, link

2. Reviews

All review records in a flat table one row per customer review.

Fields: record type, store ID, review ID, star rating, reviewer name, review text, reviewed at, verified status, tagged item IDs, marked-up text, reviewer info, experience, source

⚠️ Important Notes

Data Accuracy

• Store availability, fees, and menus change frequently re-run the Actor for up-to-date data
• Reviews are a combination of preview reviews embedded in the store detail response and results from the paginated reviews endpoint, deduplicated by review UUID

Review Extraction Behavior

• When fetchReviews is disabled, no review records are pushed not even preview reviews
• When fetchReviews is enabled, up to maxReviews reviews are pushed per store (set to 0 for all)
• Review fetching is billed separately from store detail extraction

Legal Considerations

This Actor extracts publicly available data from DoorDash. Users must:

• Comply with DoorDash's Terms of Service
• Follow applicable data protection laws (GDPR, CCPA, etc.)
• Use extracted data responsibly and ethically

The Actor creator is not responsible for how users utilize the extracted data.

💬 Support & Contact

Get Help

• 🌐 Website: flowextractapi.com
• 📧 Email: [email protected]
• 🙋 Apify Profile: FlowExtract API
• 💬 GitHub Issues: FlowExtractAPI

Social Media

• 💼 LinkedIn: flowextract-api
• 🐦 Twitter: @FlowExtractAPI
• 📱 Facebook: flowextractapi

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Ready to extract DoorDash data? Start using DoorDash Scraper now!