💬 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

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

Supported URL Formats

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

📊 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.

💬 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

🌟 Related Actors by FlowExtract API

🍽️ Food & Delivery

DoorDash Scraper Scrape store listings, menus, featured items, and customer reviews from DoorDash.

🏠 Real Estate Data

Realtor.com Scraper Extract US property listings from Realtor.com. Pricing, agent contacts, tax history, AVM estimates, nearby schools, flood and noise data, and full listing history.

PropertyFinder Scraper Extract property listings from PropertyFinder across UAE, Saudi Arabia, Bahrain, Egypt, and Qatar.

Idealista Scraper API Advanced Idealista property data extraction with API access.

Idealista Scraper Extract Spanish real estate listings from Idealista.

Leboncoin.fr Scraper Extract French classified listings from Leboncoin real estate, vehicles, jobs, and more.

AI Contact Intelligence Extractor Extract emails, phones, contacts & custom data using AI.

🎬 Video & Media Tools

YouTube Transcript & Metadata Extractor Extract complete video transcripts with timestamps and comprehensive metadata.

YouTube Full Channel, Playlists, Shorts, Live Extract complete playlist information with all video details from any YouTube playlist.

Zoom Scraper | Downloader & Transcript Extract Zoom meeting recordings, transcripts, and metadata.

Loom Scraper | Downloader & Transcript Download Loom videos and extract transcripts.

🛠️ Developer & Security Tools

Screenshot Fast, reliable webpage screenshots with customizable options.

Ultimate Screenshot Advanced screenshot tool with full-page capture, custom viewports, and quality controls.

Network Security Scanner Scan websites for security vulnerabilities and get comprehensive security reports.

📱 Social Media Tools

Facebook Ads Scraper Pro Extract Facebook ads data for competitor analysis and market research.

LinkedIn Ad Library Scraper Extract comprehensive advertising data from LinkedIn's Ad Library.

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