💬 DoorDash Review Scraper

Scrape customer reviews from any DoorDash store with full reviewer profiles, ordered item details, vote ratings, and photo attachments.

🎬 Video Tutorial

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

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Key Features

Customer Review Extraction

• Review Content full review text, star rating, verification status, and submission timestamp
• Reviewer Identity display name, contributor tier (Local Expert, Emerging Expert), contribution count, and profile URI
• Ordered Items every menu item from the associated order, with name, price, CDN image, and upvote/downvote rating
• Review Photos all photos attached to the review, with UUID, upload timestamp, and tagged item cross-reference
• Order Linkage order_uuid ties each review back to its originating order
• Moderation & Quality moderation_status and quality_rating_v2 as returned by DoorDash's internal scoring
• Platform Metadata experience type, review source, and helpful count

---

Quick Start

Scrape reviews from a specific store

{
  "startUrls": [
    { "url": "https://www.doordash.com/store/freds-20919" }
  ],
  "maxReviews": 50
}

Fetch all available reviews

{
  "startUrls": [
    { "url": "https://www.doordash.com/store/freds-20919" }
  ],
  "maxReviews": 0
}

Scrape multiple stores in one run

{
  "startUrls": [
    { "url": "https://www.doordash.com/store/freds-20919" },
    { "url": "https://www.doordash.com/store/shake-shack-12345" }
  ],
  "maxReviews": 100
}

---

📋 Input Configuration

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	array	✅		One or more direct DoorDash store URLs to scrape reviews from
maxReviews	integer	❌	10	Max reviews to fetch per store. Set to 0 to fetch all available reviews.

Supported URL Formats

Mode	Example URL
Store (with slug)	https://www.doordash.com/store/freds-manhattan-20919
Store (numeric ID)	https://www.doordash.com/store/20919
Store (full URL)	https://www.doordash.com/store/20919?cursor=...

This Actor only accepts direct store URLs. Search URLs are not supported use the full DoorDash Scraper for search-based store discovery.

---

📤 Output Structure

Each run produces one dataset record per customer review, identified by record_type: "review".

{
  "record_type": "review",
  "store_id": "20919",
  "review_id": "4e36ee56-a322-4ca6-984f-ed0f75223cb7",
  "reviewer_name": "Hope T",
  "reviewer_display_name": "Hope T",
  "num_stars": 5,
  "review_text": "Fred's makes some of the best Burgers I've ever had in this city. Two juicy patties are so filling and fresh every time I get it delivered. One of my faves to grab for lunch.",
  "reviewed_at": "2025-06-06T22:30:08.047245Z",
  "is_verified": true,
  "tagged_item_ids": [],
  "items": [
    {
      "id": "49793295",
      "name": "Burger Stack",
      "price": {
        "unit_amount": 1375,
        "currency": "USD",
        "display_string": "$13.75"
      },
      "image": {
        "url": "https://img.cdn4dd.com/..."
      },
      "rating_info": {
        "rating_type": "RATING_TYPE_VOTE_RATING",
        "rating_value": "RATING_VALUE_UPVOTE"
      },
      "orderability_info": {
        "orderable": true,
        "orderable_path": [{ "menu_id": "530519", "category_id": "6213939" }]
      }
    }
  ],
  "reviewer_data": {
    "display_name": "Hope T",
    "description": "Local Expert • 21 contributions",
    "profile_image": { "url": "" },
    "id": "29224299",
    "creator_profile_status_icon": "local_expert_fill_16",
    "creator_profile_uri": "/consumer/profile/29224299"
  },
  "review_photo_details": [
    {
      "photo_url": "https://img.cdn4dd.com/u/media/ac42dc72-003a-48c1-b679-66b4806f558a-npp.jpg",
      "photo_uuid": "ac42dc72-003a-48c1-b679-66b4806f558a",
      "created_at": "2025-06-06T22:30:08.340983Z",
      "photo_tagged_items": [
        {
          "item_id": "49793295",
          "item_name": "Burger Stack",
          "price": { "display_string": "$13.75" }
        }
      ]
    }
  ],
  "order_uuid": "96cba90a-6f4e-44d5-ba42-007d3a3a9efe",
  "experience": "DOORDASH",
  "review_source": "DOORDASH",
  "consumer_review_source": "CONSUMER_REVIEW_SOURCE_DOORDASH",
  "helpful_count": "0",
  "marked_helpful": false,
  "moderation_status": "MODERATION_STATUS_APPROVED",
  "quality_rating_v2": 3,
  "_source": "doordash-review-scraper",
  "_scrapedAt": "2026-05-24T21:05:34.717Z"
}

Field Reference

Field	Type	Description
record_type	string	Always "review"
store_id	string	DoorDash store identifier
review_id	string	UUID uniquely identifying this review. Mirrors consumer_review_uuid
consumer_review_uuid	string	Canonical DoorDash review UUID
reviewer_name	string	Reviewer display name
reviewer_display_name	string	Display name as shown in the review UI
num_stars	integer	Star rating given by the reviewer (1–5)
review_text	string	Full plain-text review body
reviewed_at	string	ISO 8601 UTC timestamp of review submission
is_verified	boolean	True when the review is tied to a confirmed order
tagged_item_ids	array	Item IDs explicitly tagged in the review. Often empty
items	array	Menu items in the associated order name, price, image, vote rating, orderability path
reviewer_data	object	Reviewer profile display name, contributor badge, profile URI, internal ID
review_photo_details	array	Photos attached to the review, with UUID, timestamp, and tagged item cross-reference. Absent when no photos were uploaded
order_uuid	string	UUID of the order this review is linked to
experience	string	Platform experience type e.g. "DOORDASH"
review_source	string	Platform that originated the review e.g. "DOORDASH"
consumer_review_source	string	Enum string for consumer review origin
helpful_count	string	Number of users who marked the review helpful
marked_helpful	boolean	Whether the current viewer marked this review helpful
moderation_status	string	Content moderation outcome e.g. "MODERATION_STATUS_APPROVED"
quality_rating_v2	integer	DoorDash internal quality score for the review
_source	string	Always "doordash-review-scraper"
_scrapedAt	string	ISO 8601 timestamp of when this record was scraped

---

📊 Pre-Configured Dataset Views

1. ⭐ Review Overview

All reviews in a flat table one row per review with core fields.

Fields: store ID, review ID, reviewer name, star rating, review text, reviewed at, verified status, moderation status, helpful count, scraped at

2. 🍔 Ordered Items

Flattened view of the items associated with each review useful for linking reviews to menu performance.

Fields: store ID, review ID, reviewer name, stars, item photo, item name, price, item vote rating, orderable status

3. 👤 Reviewer Profiles

Reviewer identity and contribution data one row per review.

Fields: display name, contributor badge, reviewer ID, profile URI, star rating, reviewed at, experience, review source, order UUID

4. 📸 Review Photos

All attached review photos with tagged item cross-reference one row per review.

Fields: store ID, review ID, reviewer name, photo, photo UUID, uploaded at, tagged item name, tagged item price

---

⚠️ Important Notes

Review Availability

• Not all stores have public reviews. If a store has no reviews, no records are pushed for that store.
• DoorDash may paginate reviews set maxReviews: 0 to ensure all available reviews are fetched.
• Review counts visible on the store page may differ from the number of reviews returned by the reviews API.

Photo Attachments

• The review_photo_details field is absent (not null) on reviews where the reviewer did not upload photos.
• rating_info inside items may be an empty object {} when the reviewer did not vote on individual items.

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
• 📱 Facebook: flowextractapi

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Ready to extract DoorDash reviews? Start using DoorDash Review Scraper now!