🍔 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

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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

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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

Parameter	Type	Required	Default	Description
address	string	✅	Chicago, IL	Delivery address for location-aware results. Important: DoorDash results depend on location always set this.
startUrls	array	✅		One or more DoorDash search or store URLs
maxResults	integer	❌	10	Max stores to scrape per search URL. 0 = no limit. Ignored in store mode.
fetchReviews	boolean	❌	false	Fetch customer reviews for each store
maxReviews	integer	❌	10	Max reviews per store. 0 = all reviews. Only used when fetchReviews is enabled.

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

Mode	Example URL
Search	https://www.doordash.com/search/store/pizza?event_type=search
Search with filters	https://www.doordash.com/search/store/sushi?filterQuery-star_rating=4.6
Store (with slug)	https://www.doordash.com/store/joes-pizza-new-york-145565
Store (numeric ID)	https://www.doordash.com/store/145565
Store (full URL)	https://www.doordash.com/store/145565?cursor=...

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.

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📤 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

Field	Type	Description
record_type	string	Always "store"
store_id	string	DoorDash internal store identifier
name	string	Store display name
description	string	Cuisine type or short description
business	object	Business entity id, name, vertical_id
tags	array	Tag taxonomy with id, name, priority score
rating	number	Average star rating (0–5)
num_ratings	integer	Total number of ratings
num_ratings_display	string	Display string e.g. "1k+"
stars_distribution	object	Rating breakdown by star level (one–five)
num_reviews	integer	Total number of written reviews
price_range	integer	1=$, 2=$$, 3=$$$, 4=$$$$
price_range_display	string	Display string e.g. "$$"
is_dashpass	boolean	DashPass partner status
delivery_fee_display	string	Delivery fee display string
delivery_fee_is_surging	boolean	Whether delivery fee is surging
pickup_fee_display	string	Pickup fee display string
is_open	boolean	Whether store is currently open for delivery
asap_minutes	integer	Estimated delivery time in minutes
asap_status	object	Full delivery availability object with reason
asap_pickup_minutes	integer	Estimated pickup time in minutes
asap_pickup_status	object	Full pickup availability object
offers	object	Capability flags delivery, pickup, group order, scheduling, catering, cannabis, drone
flags	object	Store flags newly_added, convenience, fulfills_own_deliveries
address	string	Full street address
city / state / country	string	Location components
lat / lng	number	GPS coordinates
distance_from_consumer	string	Distance from the input delivery address
timezone	string	Store timezone
header_image	string	Header image URL
cover_image	string	Cover image URL
cover_square_image	string	Square cover image URL
additional_images	array	UGC photos with url and photo_uuid
photo_count	string	Display string e.g. "18 photos"
menu_hours	array	Daily open/close times per menu
featured_items	object	Featured items carousel with grid positions and recommendation signals
menu_categories	array	All menu categories with full item detail, badges, and position signals
url	string	DoorDash store URL
_source	string	Always "doordash-scraper"
_scrapedAt	string	ISO 8601 scrape timestamp

Review Record Field Reference

Field	Type	Description
record_type	string	Always "review"
store_id	string	Join key back to the store record
review_id	string	Alias for consumer_review_uuid
reviewer_name	string	Alias for reviewer_display_name
rating	integer	Alias for star_rating (1–5)
tagged_item_ids	array	Item IDs extracted from marked_up_review_text
consumer_review_uuid	string	Original DoorDash review UUID
star_rating	integer	Original star rating field (1–5)
review_text	string	Plain review text
marked_up_review_text	string	Review text with <<taggedItemId=N>> item markup
is_verified	boolean	Whether the review is from a verified order
reviewed_at	string	ISO 8601 review timestamp
reviewer_data	object	Full reviewer object display name, description, profile URI, consumer ID
review_source	string	Source platform e.g. "DOORDASH"
experience	string	Experience type e.g. "DOORDASH"
_source	string	Always "doordash-scraper"
_scrapedAt	string	ISO 8601 scrape timestamp

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📊 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

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⚠️ 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.

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💬 Support & Contact

Get Help

• 🌐 Website: flowextractapi.com
• 📧 Email: flowextractapi@outlook.com
• 🙋 Apify Profile: FlowExtract API
• 💬 GitHub Issues: FlowExtractAPI

Social Media

• 💼 LinkedIn: flowextract-api
• 🐦 Twitter: @FlowExtractAPI
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