DoorDash Scraper — Menus, Reviews, Stores & Leads
Pricing
from $5.00 / 1,000 results
DoorDash Scraper — Menus, Reviews, Stores & Leads
Scrape DoorDash at scale: search & browse stores by location, full menus with prices and variants, customer reviews, store & business details, ratings and delivery info. Optional contact-email and POS/tech-stack enrichment for lead generation. Export to JSON, CSV or Excel.
Pricing
from $5.00 / 1,000 results
Rating
4.9
(8)
Developer
Muhamed Didovic
Maintained by CommunityActor stats
4
Bookmarked
135
Total users
14
Monthly active users
3 days ago
Last modified
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DoorDash Scraper — Menus, Reviews, Stores, Addresses & Leads
How it works
This actor is designed to extract comprehensive restaurant data from DoorDash restaurant listings. The scraper captures complete restaurant information including restaurant details, full menu data, reviews, ratings, pricing, and operational information, providing a complete picture of each restaurant for business analysis and market research.
Transform DoorDash restaurant pages into comprehensive business intelligence. This advanced scraper extracts complete restaurant ecosystems from DoorDash, delivering structured data that goes far beyond basic listings. Whether you're conducting market research, competitive analysis, or building food industry applications, this tool provides the deep insights you need.
What makes this scraper powerful:
- Complete Restaurant Profiles: Extract everything from basic info to operational details, delivery zones, and business metrics
- Full Menu Intelligence: Capture entire menu structures with pricing, descriptions, categories, and item relationships
- Customer Sentiment Analysis: Gather comprehensive review data with ratings, feedback, and customer ordering patterns
- Market Research Ready: Normalized, structured output perfect for analysis, comparison, and business intelligence
- Scalable Data Collection: Handle single restaurants or bulk extraction with built-in pagination and error handling
Perfect for:
- 🏢 Market Research Firms: Analyze restaurant landscapes, pricing strategies, and customer sentiment across markets
- 📊 Business Intelligence: Track competitor menus, pricing changes, and customer feedback trends
- 🍕 Food Industry Analysis: Study menu trends, popular items, and pricing patterns across restaurant categories
- 💼 Investment Research: Evaluate restaurant performance through customer reviews and operational data
- 🛠️ App Development: Build food apps, recommendation engines, or comparison platforms with rich restaurant data
This scraper transforms unstructured DoorDash pages into clean, normalized JSON data that's immediately ready for analysis, visualization, or integration into your systems.
Features
This actor offers the following comprehensive data extraction features:
🔍 Location-Based Search
- Search by Location: Find all restaurants and stores in any city or area
- Comprehensive Results: Extract all stores from search results including restaurants, retail stores, and grocery
- Rich Store Data: Get ratings, delivery times, fees, distances, promotions, and featured items
- Availability Info: Store hours, pickup/delivery options, DashPass eligibility, and scheduling availability
🏪 Complete Restaurant Information
- Restaurant Details: Name, description, ratings, delivery info, location, and business hours
- Operational Data: Delivery fees, DashPass partnership status, availability, and service areas
- Location Information: Full address, coordinates, timezone, and service radius
🍽️ Full Menu Data Extraction
- Menu Categories: All menu sections (Most Ordered, Combo Options, Appetizers, Main Course, Biryani, Desserts, Drinks, etc.)
- Item Details: Complete item information including names, descriptions, prices, and images
- Pricing Information: Structured pricing data with currency, amounts, and display formats
- Menu Structure: Organized menu hierarchy with categories and item relationships
⭐ Comprehensive Review System
- Customer Reviews: Detailed review text, ratings, dates, and reviewer information
- Review Analytics: Rating summaries, review counts, and statistical data
- Review Pagination: Automatic collection of all available reviews (optional)
- Verified Reviews: Distinction between verified and unverified customer feedback
📍 Address & Place Lookup
- Address to GPS: Turn a free-text address into latitude and longitude
- Business Names Too: Look up places by name ("Starbucks"), not just street addresses
- Location Bias: Point the search at any lat/lng, so a bare business name resolves in the area you care about
- Parsed Address Parts: Street, unit, city, state/province and ZIP/postal code as separate fields
- Ranked Matches: Up to 3 matches per query, best first
- Venue Names Kept Separate: A point-of-interest match reports the venue in
place_nameand the real street instreet - US & Canada: Follows the
regioninput - Runs Standalone: Look addresses up without scraping a single store, or do both in one run
🔧 Technical Features
- Normalized Data Output: Clean, structured JSON format with type-based organization
- Pagination Support: Handles pagination for reviews and large datasets
- Proxy Support: Built-in proxy rotation to avoid blocking and improve reliability
- Flexible Configuration: Customizable settings for concurrency, limits, and data scope
- Error Handling: Robust error handling and retry mechanisms
How to Use
- Set Up: Ensure you have an Apify account and access to the Apify platform.
- Input Restaurant URLs: Specify one or more DoorDash restaurant, search, or business landing page URLs to extract complete data from, e.g.:
https://www.doordash.com/store/shalimar-restaurant-st.-john's-640990https://www.doordash.com/store/restaurant-name-123456https://www.doordash.com/business/shake-shack-1401/(brand landing page — auto-discovers individual stores)https://www.doordash.com/en/business/shake-shack-1401/(locale-prefixed variant;/en/,/en-US/,/fr-CA/, etc. are all accepted)
- Configure Settings (Optional):
- Set
includeAllReviewstotrueif you want to scrape all available reviews - Set
maxItemsto limit the number of reviews to scrape (when reviews are enabled) - Set
regiontoUS(default) orCAto control the currency DoorDash returns for prices (USD vs CAD) — see Response currency & theregioninput below - Adjust concurrency settings if needed
- Configure proxy settings if required
- Set
- Run the Actor: Start the actor and monitor its progress.
- Download Results: Export the comprehensive restaurant data in your preferred format (JSON, CSV, etc.).
Response currency & the region input
DoorDash always returns menu/store prices in the consumer's locale currency, not the store's native currency. Internally that consumer locale is set by the dd-location-context HTTP header that the actor sends on every request. To make this explicit and configurable, the actor exposes a single region input:
region value | Currency in price.currency | Consumer anchor used for dd-location-context |
|---|---|---|
US (default) | USD | Fort Lauderdale, FL (market_id=28) |
CA | CAD | Paradise, NL (market_id=86) |
If you want a US menu to come back in USD, leave region as US. If you want a Canadian menu to come back in CAD, set region: "CA". The same value is also used as the geo anchor for business/... brand-landing-page inputs and for the /search/store/... discovery flow.
Note: every
dd-location-context,dd-geo-info,dd_country_shortnamecookie, anddd_market_idcookie that the actor sends is now derived from a singleregionvalue, so there is no longer a way for one part of the response to come back in CAD while another part comes back in USD because of an internal header mismatch. If you do still see mixed currencies inside a single response (e.g.items[0].item_list_menu.items[0].price.currency = "CA$"whileitems[0].store_accelerators.data.mixed_grid_carousel.data.content[0].store_menu_item.quick_add_context.price.currency = "USD"), that means DoorDash itself is serving a cross-region recommendation widget alongside the localised main menu, and you should treat the flattened base record (item_list_menu/menu_book/menu_book.menu_categories[*].items[*].price) as the authoritative pricing for the requested store. Recommendation/upsell carousels (store_accelerators.*,mixed_grid_carousel.*) can pull in items from neighbouring stores in their native currency.
Supported URL Formats
The scraper supports the following URL formats:
-
Restaurant Profile Pages
- Example:
https://www.doordash.com/store/restaurant-name-123456 - Example:
https://www.doordash.com/store/shalimar-restaurant-st.-john's-640990 - Extracts complete restaurant data including menu, reviews, and operational information
- Example:
-
Search Results Pages
- Example:
https://www.doordash.com/search/store/Carbondale%2C%20IL/ - Example:
https://www.doordash.com/search/store/New%20York/ - Extracts all stores/restaurants from search results with comprehensive data
- Example:
-
Business / Brand Landing Pages (new)
- Example:
https://www.doordash.com/business/shake-shack-1401/ - Example:
https://www.doordash.com/en/business/shake-shack-1401/(locale-prefixed) - Example:
https://www.doordash.com/fr-CA/business/tim-hortons-998/(any 2- or 5-letter locale prefix is supported) - The actor calls DoorDash's search API for the brand name, filters the results down to stores whose
business_idmatches the one in the URL, and then crawls each matched store through the normal restaurant-info + menu (+ optional reviews) pipeline. - Geo caveat: the search API is geographically anchored to the configured
region. With the defaultregion: "US"(Fort Lauderdale, FL), abusiness/shake-shack-1401/input surfaces Shake Shacks deliverable to that anchor, not every Shake Shack nationally. Withregion: "CA"(Paradise, NL) the same input surfaces the Canadian subset. If you need broader coverage, run the actor multiple times with different anchors / regions, or pass the specific store URLs you care about as/store/...inputs.
- Example:
Data Structure
The scraper outputs data in different formats depending on the URL type:
Search Results Data (for /search/store/ URLs)
When scraping search results, each store/restaurant is returned with the following fields:
| Field | Type | Description |
|---|---|---|
store_id | string | Unique store identifier |
store_name | string | Store/restaurant name |
store_url | string | Full URL to the store page |
image_url | string | Store header/cover image |
rating | number | Average rating (e.g., 4.5) |
num_ratings | string | Display string (e.g., "(200+)") |
num_ratings_raw | number | Raw number of ratings |
distance | string | Display distance (e.g., "4.0 mi") |
distance_miles | number | Exact distance in miles |
delivery_time | string | Display time (e.g., "48 min") |
delivery_time_minutes | number | Raw delivery time in minutes |
delivery_fee | string | Display fee (e.g., "CA$0 delivery fee") |
delivery_fee_amount | number | Raw fee amount |
minimum_subtotal | number | Minimum order amount |
description | string | Store description/category |
price_range | string | Price range symbols (e.g., "$$") |
price_range_raw | number | Price range as number (1-4) |
is_retail | boolean | Whether it's a retail store |
is_currently_available | boolean | Current availability status |
is_dashpass | boolean | DashPass eligible |
is_sponsored | boolean | Sponsored listing |
pickup_available | boolean | Pickup option available |
schedule_delivery_available | boolean | Scheduled delivery available |
asap_available | boolean | ASAP delivery available |
next_open_time | string | Store opening time (ISO 8601) |
next_close_time | string | Store closing time (ISO 8601) |
business_id | string | Business identifier |
submarket_id | string | Submarket identifier |
promotion_type | string | Type of active promotion |
badges | array | Promotional badges/offers |
latitude | number | Store latitude |
longitude | number | Store longitude |
featured_items | array | Up to 6 featured menu items |
Sample Search Results Output
{"store_id": "34044107","store_name": "Andaluzia Flavors","store_url": "https://www.doordash.com/store/34044107/","image_url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto/https://doordash-static.s3.amazonaws.com/media/store/header/9777b22a-a5b3-49ef-9037-18857630de58.jpeg","rating": 4,"num_ratings": "(40+)","num_ratings_raw": 40,"distance": "4.0 mi","distance_miles": 3.96,"delivery_time": "48 min","delivery_time_minutes": 48,"delivery_fee": "CA$0 delivery fee","delivery_fee_amount": 0,"minimum_subtotal": 0,"description": "","price_range": "$","price_range_raw": 1,"is_retail": false,"is_currently_available": true,"is_dashpass": true,"is_sponsored": false,"pickup_available": true,"schedule_delivery_available": false,"asap_available": true,"next_open_time": "2025-12-11T19:53:10Z","next_close_time": "2025-12-11T23:10:00Z","business_id": "14249077","submarket_id": "1785","promotion_type": "SUBTOTAL_PERCENTAGE_OFF_INCENTIVE","badges": [{"text": "25% off on CA$12+","type": "offer","background_color": "DDF4F4"}],"latitude": 47.558504,"longitude": -52.767658,"featured_items": [{"item_id": "26244230112","item_name": "Chef Special Mutton Biriyani 🔥 ( Must Try)","item_price": "CA$20.99","item_image_url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto/https://doordash-static.s3.amazonaws.com/media/photosV2/deced420-89d6-456b-8ba1-3bac7976cbeb-retina-large.jpg"}]}
Restaurant Profile Data (for /store/ URLs)
For individual restaurant pages, the scraper outputs normalized, type-based structure:
Main Data Categories
restaurant- Core restaurant information (name, ratings, location, delivery info)ratings_cta- Review summary and recent customer reviewsmenu_book- Menu structure and organizationitem_list_[category]- Menu categories with items (e.g.,item_list_most_ordered,item_list_combo_options)callout_banner- Special offers and promotional informationstore_disclaimer- Legal and pricing disclaimersreviews- Complete review data (whenincludeAllReviewsis enabled)
Menu Categories Captured
The scraper automatically detects and extracts all menu categories, typically including:
- Most Ordered items
- Combo Options
- Appetizers to Start
- Main Course Options
- Biryani Options
- Extra Options (sides, rice, bread)
- Dessert Options
- Drink Options
- And any other custom categories specific to the restaurant
Input Data
Here's an example input for scraping reviews from DoorDash:
{"startUrls": [{"url": "https://www.doordash.com/store/shalimar-restaurant-st.-john's-640990"},{"url": "https://www.doordash.com/store/restaurant-name-123456"}],"maxItems": 500,"maxConcurrency": 5,"minConcurrency": 1,"maxRequestRetries": 30,"includeListingDetails": true}
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
startUrls | Array | — | List of URLs to start scraping from. Optional when addresses is supplied |
maxItems | Integer | 100 | Maximum number of items to scrape |
maxConcurrency | Integer | 100 | Maximum concurrent requests |
minConcurrency | Integer | 1 | Minimum concurrent requests |
maxRequestRetries | Integer | 30 | Number of retries for failed requests |
includeListingDetails | Boolean | true | Whether to include detailed listing information |
includeAllMenuVariants | Boolean | false | Fetch additional menu option variants by following DoorDash next_cursor links and append them under menu_additional_options |
includeDoubleDashItems | Boolean | false | Keep the DoubleDash cross-store add-on carousels DoorDash mixes into a store's menu, grouped under doubledash_items. Off by default, since those items and prices belong to a nearby partner store |
addresses | Array | — | Addresses or place names to look up. Each one returns up to 3 ranked matches with coordinates and parsed address parts |
addressLat | Number | region anchor | Latitude the lookup is biased towards. Decides results for queries that do not name their own city |
addressLng | Number | region anchor | Longitude paired with addressLat. Both must be set for the bias to apply |
Address & Place Lookup
Pass addresses to turn free-text addresses, or business names, into coordinates and
parsed address parts, using DoorDash's own address lookup. This needs no store URL, so a
run can geocode a list on its own, or do that alongside normal store scraping.
{"addresses": ["1280 N Grant St, Denver","350 5th Ave, New York","1 Ferry Building, San Francisco"]}
Each address returns up to 3 matches, ranked by DoorDash, written as one row per match:
{"record_type": "address","query": "350 5th Ave, New York","match_rank": 0,"formatted_address": "350 5th Ave, New York, NY 10118, USA","place_name": "","street": "350 5th Ave","unit": "","city": "New York","state": "NY","zip": "10118","country": "USA","country_short_name": "US","lat": 40.748163987882435,"lng": -73.98556907661259,"place_id": "AWL0_-gYrcQ2P495a725Ynuli64KnKvzbPQRai5yrrskRTIpNob4ZWI53-_bd7KL","place_id_is_session_token": true,"address_types": [],"scraped_at": "2026-10-11T10:44"}
Address fields
| Field | Description |
|---|---|
match_rank | 0 is DoorDash's best match. A query it cannot place is written once with -1 and empty fields, so a failed lookup is visible rather than missing |
place_name | Set only when the match is a named venue rather than a plain address. street then still holds the real street, e.g. Reem's California Ferry Building at 1 Ferry Plz |
street, unit | Parsed from formatted_address. A secondary unit (Ste 350, #3502) is split off into unit |
state | US state or Canadian province |
zip | US ZIP (keeping the +4 when present) or Canadian postal code |
place_id | A DoorDash address token, not a Google Place ID. The value the autocomplete returns is tied to the lookup session and changes between calls, which place_id_is_session_token flags |
Location bias
A query that names its own city resolves on its own. A bare business name does not, so the
lookup is biased towards a point, by default the anchor of the selected region:
{"addresses": ["Starbucks"],"addressLat": 47.6062,"addressLng": -122.3321}
| Bias | Starbucks resolves to |
|---|---|
region: "US" (default anchor) | Fort Lauderdale, FL |
region: "CA" (default anchor) | St. John's, NL |
addressLat: 47.6062, addressLng: -122.3321 | Seattle, WA |
Both coordinates must be set; one alone is ignored. Without any bias DoorDash answers from its own default, which is Canadian regardless of the region asked for, so the region anchor is applied for you rather than left off.
Limits
Matching is fuzzy and covers the US and Canada, and comes from DoorDash's
delivery-address index rather than a general geocoder: it resolves street addresses and
businesses that DoorDash knows, and returns nothing outside that coverage. Parsed parts are
best-effort, read from formatted_address; the raw string is always included so nothing is
lost when a format does not fit the usual pattern.
Output Structure
The scraper returns normalized DoorDash store data that includes high-level store metadata, menu modules, and (optionally) detailed variants. When includeAllMenuVariants is set to true, additional requests are made for any items exposing a next_cursor; their payloads are returned inside menu_additional_options. Here's an example of the output structure:
Sample Output
{"store_highlight_carousel": {"id": "store_highlight_carousel","type": "store_highlight_carousel","version": "1","sort_order": 0,"data": {"content": [{"type": "WELCOME_SCREEN","sort_order": 0,"generic_screen": {"header_text": "Welcome to Greco Pizza","text": {"subtitle": "Swipe for insights about this store and highlights from the menu."},"background_image": {"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/store/header/e2214d7f-a70e-401c-bd90-90034773719b.jpg"}}}],"expand_on_load": false}},"store_header": {"id": "1613664","type": "store_header","version": "1","sort_order": 1,"data": {"id": "1613664","name": "Greco Pizza","description": "Italian","num_ratings": "290","average_rating": 4.2,"timezone": "Canada/Newfoundland","is_dashpass_partner": true,"delivery_fee_layout": {"title": "CA$0 delivery fee","subtitle": "pricing & fees","is_surging": false,"display_delivery_fee": "CA$0 delivery fee","discount_min_subtotal": "0"},"delivery_fee_tooltip": {"additional_sections": [{"title": "Pricing & Fees","bullet_descriptions": ["Prices may vary from in-store or elsewhere for this location. Prices for delivery and pickup may vary.","Delivery fees, service fees (including minimum service fees), small order fees, expanded range fees, beyond local area fees, express fees, and fees in response to local regulations may apply. All of these fees go to DoorDash and help cover the costs of operating the DoorDash platform.","Other fees such as bag fees and bottle fees required by law may apply. Some of these fees may be retained by DoorDash.","You can see all of the fees that apply to your order at checkout prior to completing the transaction."]}]},"asap_status": {"is_available": true,"operating_summary_layout": {"title": "Open now","subtitle": "Closes at 9:40 PM","title_color": "text/positive"}},"asap_pickup_status": {"is_available": true,"operating_summary_layout": {"title": "Open now","subtitle": "Closes at 9:40 PM","title_color": "text/positive"}},"asap_minutes": 42,"asap_pickup_minutes": 16,"address": {"lat": 47.45962,"lng": -52.77254,"display_address": "430 Main Rd, Goulds, NL A1S 1A7, Canada","street": "430 Main Road","city": "St. John's","state": "NL","country_shortname": "CA"},"distance_from_consumer": "5.7 mi","offers_delivery": true,"offers_pickup": true,"offers_group_order": true,"header_image": {"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/store/header/e2214d7f-a70e-401c-bd90-90034773719b.jpg"},"cover_square_image": {"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/restaurant/cover_square/e795c16b-1da5-4109-b435-ee5c5ce96f9f.png"},"cover_image": {"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/restaurant/cover/0f339c9d-9c9a-4a0c-8901-0e808c15d0b5.png"},"is_convenience": false,"fulfills_own_deliveries": false,"is_newly_added": false,"should_suggest_pickup": false,"provides_external_courier_tracking": false,"business": {"id": "748799","name": "Greco Pizza","differential_pricing_enabled": true,"business_vertical_id": "0"},"businessTags": [{"id": "80","name": "Fast Food","priority": "88"},{"id": "16","name": "Italian","priority": "99"},{"id": "1904","name": "Pizzeria","priority": "89"}],"number_of_ratings_display_string": "200+","enable_switch_to_pickup": true,"is_consumer_subscription_active": false,"currency": "CAD","delivery_time_layout": {"title": "42 min","subtitle": "delivery time","button": {"type": "DOWN_ARROW_CHEVRON","metadata": {"action": "navigate_to_time_picker_page","accessibility_hint": "Opens the schedule picker"},"alignment": "RIGHT"}},"is_shipping_only": false,"pickup_fee_layout": {"display_pickup_fee": "No fees"},"offers_catering": false,"offers_cannabis": false,"service_fee_layout": {"title": "Service fees apply","tooltip": {"title": "DoorDash service fee applies to every delivery order","description": "This 12% service fee (minimum CA$2.49) helps us operate DoorDash.\n\nA reduced service fee applies to eligible orders from DashPass merchants that meet the minimum subtotal. Sign up for DashPass today!"}},"pickup_fee_message_layout": {"title": "CA$0","subtitle": "pricing & fees","tooltip": {"additional_sections": [{"title": "Pricing & Fees","bullet_descriptions": ["Prices may vary from in-store or elsewhere for this location. Prices for delivery and pickup may vary.","Delivery fees, service fees (including minimum service fees), small order fees, expanded range fees, beyond local area fees, express fees, and fees in response to local regulations may apply. All of these fees go to DoorDash and help cover the costs of operating the DoorDash platform.","Other fees such as bag fees and bottle fees required by law may apply. Some of these fees may be retained by DoorDash.","You can see all of the fees that apply to your order at checkout prior to completing the transaction."]}]}},"current_menu_id": "16349981","pickup_time_layout": {"title": "16 min","subtitle": "ready for pickup"},"fulfillment_toggle_layout": {"first_fulfillment_layout": {"subtitle": "42 min"},"second_fulfillment_layout": {"subtitle": "16 min"}},"additional_header_images": [{"url": "https://img.cdn4dd.com/u/media/1b20430b-e70d-4894-a106-0f19821a2baf.png","photo_uuid": "1b20430b-e70d-4894-a106-0f19821a2baf"}],"photo_count_text": "2 photos","offers_scheduling": true,"dashi_data": {"enable_store_taste_match": false},"should_highlight_group_order_experience": false,"should_display_group_order_education": true}},"callout_banner": {"id": "pickup-callout","type": "callout_banner","version": "1","sort_order": 2,"data": {"title": "This is a Pickup order","text": "You'll need to go to Greco Pizza to pick up this order: 430 Main Road","display": 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