# DoorDash Scraper — Menus, Reviews, Stores & Leads (`memo23/doordash-reviews-cheerio`) Actor
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.
- **URL**: https://apify.com/memo23/doordash-reviews-cheerio.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** Automation, Lead generation, Travel
- **Stats:** 127 total users, 7 monthly users, 99.3% runs succeeded, 4 bookmarks
- **User rating**: 4.93 out of 5 stars
## Pricing
from $5.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.
For examples already wired to this Actor's own input schema, see the [API](#api) section below.
Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
# README
## DoorDash Scraper — Menus, Reviews, Stores & Leads
### How it works
This actor is designed to extract comprehensive restaurant data from [DoorDash](https://www.doordash.com/) 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
#### 🔧 **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
1. **Set Up:** Ensure you have an Apify account and access to the Apify platform.
2. **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-640990`
- `https://www.doordash.com/store/restaurant-name-123456`
- `https://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)
3. **Configure Settings (Optional):**
- Set `includeAllReviews` to `true` if you want to scrape all available reviews
- Set `maxItems` to limit the number of reviews to scrape (when reviews are enabled)
- Set `region` to `US` (default) or `CA` to control the **currency** DoorDash returns for prices (USD vs CAD) — see [Response currency & the `region` input](#response-currency--the-region-input) below
- Adjust concurrency settings if needed
- Configure proxy settings if required
4. **Run the Actor:** Start the actor and monitor its progress.
5. **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_shortname` cookie, and `dd_market_id` cookie that the actor sends is now derived from a single `region` value, 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$"` while `items[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:
1. **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
2. **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
3. **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_id` matches 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 default `region: "US"` (Fort Lauderdale, FL), a `business/shake-shack-1401/` input surfaces Shake Shacks deliverable to that anchor, not every Shake Shack nationally. With `region: "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.
### 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
```json
{
"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 reviews
- **`menu_book`** - Menu structure and organization
- **`item_list_[category]`** - Menu categories with items (e.g., `item_list_most_ordered`, `item_list_combo_options`)
- **`callout_banner`** - Special offers and promotional information
- **`store_disclaimer`** - Legal and pricing disclaimers
- **`reviews`** - Complete review data (when `includeAllReviews` is 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:
```json
{
"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 | Required | List of URLs to start scraping from |
| `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` |
### 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
````json
{
"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": "HIDE"
}
},
"store_accelerators": {
"id": "michelin",
"type": "store_accelerators",
"version": "1",
"sort_order": 3,
"data": {
"name": "What can we help you find?",
"chips": [
{
"id": "featured",
"name": "Featured"
},
{
"id": "chicken",
"name": "Chicken",
"category": "dietary"
}
],
"mixed_grid_carousel": {
"id": "recommended_items_for_you",
"type": "mixed_grid_carousel",
"version": "1",
"sort_order": 0,
"data": {
"name": "Featured Items",
"content": [
{
"type": "menu_item",
"start_row": 0,
"start_col": 0,
"store_menu_item": {
"id": "4885347417",
"name": "Small Garlic Fingers",
"description": "Garlic Butter with Mozzarella cheese baked to a perfect golden brown on delicious Pizza Dough and served with Greco Donair Sauce.",
"display_price": "CA$11.00+",
"image": {
"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/photos/47b4cab3-e67b-4ef1-893d-460deba05af7-retina-large-jpeg"
},
"next_cursor": {
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},
"next_cursor": {
"cursor": "eyJkbV9pZCI6Iml0ZW1fMSIsImRtX3R5cGUiOiJpdGVtIiwiZG1fdmVyc2lvbiI6MiwiY3Vyc29yX3ZlcnNpb24iOiJJVEVNX1BBR0UiLCJpdGVtSWQiOjI2Njk4NDIxMzU2LCJvcHRpb25JZCI6bnVsbCwic2VsZWN0ZWRPcmRlckl0ZW1JZCI6bnVsbCwic3RvcmVMaXRlRGF0YSI6bnVsbCwiaXNfaG9tZWdyb3duX2xveWFsdHkiOmZhbHNlLCJwYWdlX3N0YWNrX3RyYWNlIjpbXSwic3RvcmVJZCI6MTYxMzY2NCwibWVudUlkIjoxNjM0OTk4MSwiY2F0ZWdvcnlJZCI6MTcwMTIwMTM0LCJidXNpbmVzc0lkIjpudWxsLCJ2ZXJ0aWNhbElkIjowfQ=="
},
"quick_add_context": {
"is_eligible": false
},
"logging": {
"container": "recommended_items_for_you",
"container_name": "Featured items",
"card_position": 21,
"entity_type": "item",
"item_id": "26698421356",
"item_name": "2 Can Dine",
"has_photo": true,
"store_id": "1613664",
"row_position": 0,
"column_position": 11,
"menu_id": "16349981",
"category_id": "170120134",
"eligible_promo_campaign_ids": "",
"page": "store"
},
"store_id": "1613664"
}
},
{
"type": "menu_item",
"start_row": 1,
"start_col": 10,
"store_menu_item": {
"id": "14589560751",
"name": "Large Garlic Fingers ",
"description": "Garlic Butter with Mozzarella cheese baked to a perfect golden brown on delicious Pizza Dough and served with Greco Donair Sauce.",
"display_price": "CA$23.60",
"image": {
"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/photos/7e8eed82-95c3-4890-a2d2-4d8c7b8c403b-retina-large-jpeg"
},
"next_cursor": {
"cursor": "eyJkbV9pZCI6Iml0ZW1fMSIsImRtX3R5cGUiOiJpdGVtIiwiZG1fdmVyc2lvbiI6MiwiY3Vyc29yX3ZlcnNpb24iOiJJVEVNX1BBR0UiLCJpdGVtSWQiOjE0NTg5NTYwNzUxLCJvcHRpb25JZCI6bnVsbCwic2VsZWN0ZWRPcmRlckl0ZW1JZCI6bnVsbCwic3RvcmVMaXRlRGF0YSI6bnVsbCwiaXNfaG9tZWdyb3duX2xveWFsdHkiOmZhbHNlLCJwYWdlX3N0YWNrX3RyYWNlIjpbXSwic3RvcmVJZCI6MTYxMzY2NCwibWVudUlkIjoxNjM0OTk4MSwiY2F0ZWdvcnlJZCI6NTUwMjI0NzAsImJ1c2luZXNzSWQiOm51bGwsInZlcnRpY2FsSWQiOjB9"
},
"quick_add_context": {
"is_eligible": false
},
"logging": {
"container": "recommended_items_for_you",
"container_name": "Featured items",
"card_position": 22,
"entity_type": "item",
"item_id": "14589560751",
"item_name": "Large Garlic Fingers ",
"has_photo": true,
"store_id": "1613664",
"row_position": 1,
"column_position": 10,
"menu_id": "16349981",
"category_id": "55022470",
"eligible_promo_campaign_ids": "",
"page": "store"
},
"store_id": "1613664"
}
},
{
"type": "menu_item",
"start_row": 1,
"start_col": 11,
"store_menu_item": {
"id": "4885347390",
"name": "Mighty Meaty Calzone - Large",
"description": "",
"display_price": "CA$13.80",
"image": {
"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/photosV2/f8bdd9e1-cb95-49a3-b740-69e5c8420030-retina-large.jpg"
},
"next_cursor": {
"cursor": "eyJkbV9pZCI6Iml0ZW1fMSIsImRtX3R5cGUiOiJpdGVtIiwiZG1fdmVyc2lvbiI6MiwiY3Vyc29yX3ZlcnNpb24iOiJJVEVNX1BBR0UiLCJpdGVtSWQiOjQ4ODUzNDczOTAsIm9wdGlvbklkIjpudWxsLCJzZWxlY3RlZE9yZGVySXRlbUlkIjpudWxsLCJzdG9yZUxpdGVEYXRhIjpudWxsLCJpc19ob21lZ3Jvd25fbG95YWx0eSI6ZmFsc2UsInBhZ2Vfc3RhY2tfdHJhY2UiOltdLCJzdG9yZUlkIjoxNjEzNjY0LCJtZW51SWQiOjE2MzQ5OTgxLCJjYXRlZ29yeUlkIjo1NTAyMjQ2NywiYnVzaW5lc3NJZCI6bnVsbCwidmVydGljYWxJZCI6MH0="
},
"quick_add_context": {
"is_eligible": true,
"price": {
"unit_amount": 1380,
"currency": "CAD",
"display_string": "CA$13.80",
"decimal_places": 2,
"sign": true,
"symbol": "$"
}
},
"rating_display_string": "",
"logging": {
"container": "recommended_items_for_you",
"container_name": "Featured items",
"card_position": 23,
"entity_type": "item",
"item_id": "4885347390",
"item_name": "Mighty Meaty Calzone - Large",
"has_photo": true,
"store_id": "1613664",
"row_position": 1,
"column_position": 11,
"menu_id": "16349981",
"category_id": "55022467",
"eligible_promo_campaign_ids": "",
"page": "store"
},
"store_id": "1613664"
}
},
{
"type": "menu_item",
"start_row": 0,
"start_col": 12,
"store_menu_item": {
"id": "14589560752",
"name": "Party Garlic Fingers ",
"description": "Garlic Butter with Mozzarella cheese baked to a perfect golden brown on delicious Pizza Dough and served with Greco Donair Sauce.",
"display_price": "CA$29.90",
"image": {
"url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/photos/fa16ec0c-3ce0-4dc0-b291-f19784240690-retina-large-jpeg"
},
"next_cursor": {
"cursor": "eyJkbV9pZCI6Iml0ZW1fMSIsImRtX3R5cGUiOiJpdGVtIiwiZG1fdmVyc2lvbiI6MiwiY3Vyc29yX3ZlcnNpb24iOiJJVEVNX1BBR0UiLCJpdGVtSWQiOjE0NTg5NTYwNzUyLCJvcHRpb25JZCI6bnVsbCwic2VsZWN0ZWRPcmRlckl0ZW1JZCI6bnVsbCwic3RvcmVMaXRlRGF0YSI6bnVsbCwiaXNfaG9tZWdyb3duX2xveWFsdHkiOmZhbHNlLCJwYWdlX3N0YWNrX3RyYWNlIjpbXSwic3RvcmVJZCI6MTYxMzY2NCwibWVudUlkIjoxNjM0OTk4MSwiY2F0ZWdvcnlJZCI6NTUwMjI0NzAsImJ1c2luZXNzSWQiOm51bGwsInZlcnRpY2FsSWQiOjB9"
},
"quick_add_context": {
"is_eligible": false
},
"logging": {
"container": "recommended_items_for_you",
"container_name": "Featured items",
"card_position": 24,
"entity_type": "item",
"item_id": "14589560752",
"item_name": "Party Garlic Fingers ",
"has_photo": true,
"store_id": "1613664",
"row_position": 0,
"column_position": 12,
"menu_id": "16349981",
"category_id": "55022470",
"eligible_promo_campaign_ids": "",
"page": "store"
},
"store_id": "1613664"
}
}
]
},
"logging": {
"collection_id": "recommended_items_for_you",
"collection_name": "Featured items",
"collection_type": "mixed_grid_carousel",
"num_items_string": "25.0",
"page": "store",
"collection_position": "0.0"
},
"num_rows": 2,
"num_columns": 13
},
"mx_phone_number": "+17097473030"
}
},
"ratings_cta": {
"id": "ratings_cta",
"type": "ratings_cta",
"version": "3",
"sort_order": 4,
"max_num_stars": 5,
"summary": {
"average_rating": 4.2,
"total_ratings": 200,
"total_reviews": 4,
"ratings_display": "200+ ratings",
"reviews_display": "4 public reviews",
"insufficient_ratings": false
},
"recent_reviews": [
{
"id": "f35b5cdf-2ddb-4b8d-a2b5-f6fcbf468160",
"reviewer_name": "Tyler M",
"rating": 5,
"text": "delicious pizza as always 👍",
"date": "2024-01-28T18:20:50.806254Z",
"helpful_count": 0
},
{
"id": "85b9531a-8531-4723-81d6-e21dda382b03",
"reviewer_name": "Tyrel G",
"rating": 3,
"text": "forgot to season the crust",
"date": "2024-09-01T21:54:04.910168Z",
"helpful_count": 0
},
{
"id": "86599bd0-c628-4017-b940-51d1cbc9c676",
"reviewer_name": "Jessica P",
"rating": 5,
"text": "Really good, been years since I've had Greco pizza and it did not disappoint!",
"date": "2022-02-11T13:23:35.518955Z",
"helpful_count": 0
},
{
"id": "aa602102-e32d-42e1-b379-c6d64c9b7bf4",
"reviewer_name": "Tiffany B",
"rating": 1,
"text": "No dips included, drinks were all wrong, pizza crust was not cooked. Awful!",
"date": "2022-08-03T23:29:35.020929Z",
"helpful_count": 0
}
]
},
"menu_book": {
"id": "16349981",
"type": "menu_book",
"version": "1",
"sort_order": 5,
"name": "Full Menu",
"data": {
"name": "Full Menu",
"menus": [
{
"id": "16349981",
"name": "All Day",
"open_hours": [
{
"open_time": "11:00:00",
"close_time": "21:40:00"
}
# Actor input Schema
## `startUrls` (type: `array`):
DoorDash store URLs or search/browse URLs. One store page produces a store + menu row; search URLs discover stores first.
## `includeAllReviews` (type: `boolean`):
Set to true if you want to include all reviews.
## `includeAllMenuVariants` (type: `boolean`):
Set to true if you want to include all menu variants.
## `includeDoubleDashItems` (type: `boolean`):
DoorDash mixes DoubleDash add-on carousels from nearby partner stores (for example "Add Drinks to Your Order from Winn-Dixie Liquor") into the store menu response. Those items and prices belong to a different store, so they are never left among the store's own menu categories. By default they are dropped entirely. Turn this on to keep them, grouped under a single doubledash_items field so they are easy to use or skip as one block.
## `scrapeAllMenus` (type: `boolean`):
DoorDash only serves the menu that is open at the moment the run starts, so a midday run returns the lunch menu and never sees breakfast or dinner. Turn this on to fetch every menu the store publishes in one run. Each record is tagged with menu_id and menu_name. This multiplies requests and runtime by the number of menus a store has.
## `enrichEmails` (type: `boolean`):
If enabled, finds a contact email for each result from its own website (or by discovering it from the name). Adds contactEmail + contactWebsite columns plus a detailed emailEnrichment object. Billed per contact email found; only charged when an email is returned, never for misses.
## `qualifyByPayment` (type: `boolean`):
Requires "Enrich with contact emails". Scans each business's website — reusing the pages already fetched for email discovery, so no extra cost or time — for payment processors and e-commerce platforms (Stripe, Shopify, PayPal, Paddle, Lemon Squeezy, WooCommerce, Square, Chargebee and more). Adds takesPayments (is this a real paying business?), paymentProcessors (which stack), stripeLiveKey (the public key if exposed) and paymentConfidence. Turn raw contacts into monetization-qualified leads. No extra charge — included with each enriched company.
## `detectTech` (type: `boolean`):
If enabled (requires "Enrich with contact emails"), fetches each restaurant's own website and detects its tech: online-ordering / POS (Toast, Square, Clover, ChowNow, Olo…), reservations (OpenTable, Resy, Tock…), site platform, and analytics. Adds a techStack object. Great for sales prospecting.
## `region` (type: `string`):
Sets the DoorDash consumer locale that the actor pretends to be from. This drives the currency DoorDash returns in every `price.currency` field across the menu and store responses. Use `US` to get USD, `CA` to get CAD. Defaults to `US`.
## `maxItems` (type: `integer`):
Maximum stores from a search URL. When includeAllReviews is on, also caps how many reviews are kept per run.
## `maxConcurrency` (type: `integer`):
Maximum number of 'items' that can be processed at the same time.
## `minConcurrency` (type: `integer`):
Minimum number of 'items' that will be processed at the same time.
## `maxRequestRetries` (type: `integer`):
Number of times the crawler will retry a failed request before giving up.
## `proxy` (type: `object`):
Specifies proxy servers that will be used by the scraper in order to hide its origin.
For details, see Proxy configuration in README.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.doordash.com/store/shalimar-restaurant-st.-john's-640990"
}
],
"includeAllReviews": false,
"includeAllMenuVariants": false,
"includeDoubleDashItems": false,
"scrapeAllMenus": false,
"enrichEmails": false,
"qualifyByPayment": false,
"detectTech": false,
"region": "US",
"maxItems": 100,
"maxConcurrency": 100,
"minConcurrency": 1,
"maxRequestRetries": 30,
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
````
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://www.doordash.com/store/shalimar-restaurant-st.-john's-640990"
}
],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("memo23/doordash-reviews-cheerio").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"startUrls": [{ "url": "https://www.doordash.com/store/shalimar-restaurant-st.-john's-640990" }],
"proxy": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
},
}
# Run the Actor and wait for it to finish
run = client.actor("memo23/doordash-reviews-cheerio").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [
{
"url": "https://www.doordash.com/store/shalimar-restaurant-st.-john'\''s-640990"
}
],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}' |
apify call memo23/doordash-reviews-cheerio --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,memo23/doordash-reviews-cheerio"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/9jTOJO8sdazv6taBp/builds/UxbpNbSp6f7Fp56Y2/openapi.json