Doordash Store Menu Scraper
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from $2.00 / 1,000 results
Doordash Store Menu Scraper
Scrape complete store menus from DoorDash with menu item details, pricing, ratings, dietary info, and images. Perfect for restaurant analytics, menu monitoring, and competitive pricing research across any DoorDash location.
Pricing
from $2.00 / 1,000 results
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DoorDash Store Menu Scraper: Extract Restaurant Item Data at Scale
What Is DoorDash?
DoorDash is a leading food delivery platform connecting millions of customers to thousands of restaurants and merchants. Each store page displays a dynamic menu with item descriptions, pricing, photos, dietary tags, ratings, and promotions. Extracting this menu data manually is inefficient — the DoorDash Store Menu Scraper automates the process, capturing complete menu inventories in structured, analysis-ready format.
Overview
The DoorDash Store Menu Scraper collects detailed menu item records from individual DoorDash restaurant pages, turning rich product catalogs into clean CSV or JSON datasets. It is ideal for:
- Restaurant chains tracking competitor menus and pricing strategies
- Market researchers analyzing food delivery market trends and offerings
- Data analysts building datasets for menu optimization studies
- Price monitoring services benchmarking costs across locations
- Aggregator platforms syncing DoorDash menus into custom apps
The scraper captures 18+ fields per item, including pricing, images, dietary information, ratings, and promotional callouts. It supports multi-URL batch operations with configurable item limits and graceful error handling.
Input Format
The scraper accepts a JSON configuration object with three key parameters:
{"urls": ["https://www.doordash.com/store/burger-king-miami-75293/44070358/"],"ignore_url_failures": true,"max_items_per_url": 200}
| Parameter | Type | Description |
|---|---|---|
urls | Array of strings | Direct links to DoorDash store/restaurant pages. Each URL should point to a specific store location (e.g., Burger King Miami). |
ignore_url_failures | Boolean | If true, the scraper continues if some URLs fail. If false, the run stops on first error. Default: true. |
max_items_per_url | Integer | Maximum menu items to extract per store URL. Set to 200 for large menus; lower values speed up smaller stores. |
Pro tip: Store-specific URLs (with store ID and location code) give more accurate results than generic restaurant pages. Copy the full URL from your browser address bar.
Output Format
Example output record:
{"id": "19272161236","name": "Original Chicken Sandwich","description": "Lightly breaded chicken topped with crisp lettuce and creamy mayonnaise on a sesame seed bun.","display_price": "$$6.29","display_strikethrough_price": "","logging": {"fields_map": [["card_position",{"null_value": 0,"number_value": 0,"string_value": "","bool_value": false}],["category_id",{"null_value": 0,"number_value": 0,"string_value": "154646305","bool_value": false}],["container",{"null_value": 0,"number_value": 0,"string_value": "popular-items","bool_value": false}],["container_name",{"null_value": 0,"number_value": 0,"string_value": "Most Ordered","bool_value": false}],["eligible_promo_campaign_ids",{"null_value": 0,"number_value": 0,"string_value": "","bool_value": false}],["entity_type",{"null_value": 0,"number_value": 0,"string_value": "item","bool_value": false}],["has_photo",{"null_value": 0,"number_value": 0,"string_value": "","bool_value": true}],["item_id",{"null_value": 0,"number_value": 0,"string_value": "19272161236","bool_value": false}],["item_name",{"null_value": 0,"number_value": 0,"string_value": "Original Chicken Sandwich","bool_value": false}],["menu_id",{"null_value": 0,"number_value": 0,"string_value": "44070358","bool_value": false}],["menu_item_callout_string",{"null_value": 0,"number_value": 0,"string_value": "100+ recent orders","bool_value": false}],["page",{"null_value": 0,"number_value": 0,"string_value": "store","bool_value": false}],["store_id",{"null_value": 0,"number_value": 0,"string_value": "75293","bool_value": false}]]},"image_url": "https://img.cdn4dd.com/cdn-cgi/image/fit=contain,width=1200,height=672,format=auto/https://doordash-static.s3.amazonaws.com/media/photosV2/2ab1814c-fac6-4ea1-b80a-1f6f0ae17e17-retina-large.png","dietary_tags_list": [],"dynamic_label_display_string": "","callout_display_string": "100+ recent orders","secondary_callout": {"__typename": "MenuPageItemSecondaryCallout","logo": "UNKNOWN","text": null},"quick_add_context": {"__typename": "QuickAddContext","is_eligible": false,"price": {"__typename": "QuickAddMonetaryFields","currency": "USD","decimal_places": 2,"display_string": "$$6.29","sign": true,"symbol": "$$","unit_amount": 629},"nested_options": "[]","special_instructions": null,"default_quantity": null},"rating_display_string": "84% (25)","serving_size_display_string": null,"store_id": "75293","override_navigate_url": null,"badges": [],"min_lead_time": null,"category": "Most Ordered","from_url": "https://www.doordash.com/store/burger-king-miami-75293/44070358/"}
Each menu item returns a comprehensive record with the following fields:
Core Item Information
| Field | Description |
|---|---|
ID | Unique identifier for this menu item within DoorDash |
Name | Display name of the item (e.g., "Whopper") |
Description | Full text description of the dish, ingredients, and preparation |
Category | Menu category classification (e.g., "Sandwiches", "Breakfast", "Desserts") |
Pricing
| Field | Description |
|---|---|
Display Price | Current item price shown to customers |
Display Strikethrough Price | Original or sale price (shows discounts when present) |
Visuals & Media
| Field | Description |
|---|---|
Image URL | Direct link to the item's product photo |
Dietary & Nutritional Info
| Field | Description |
|---|---|
Dietary Tags List | Array of dietary classifications (e.g., "vegetarian", "vegan", "gluten-free", "contains nuts") |
Serving Size Display String | Portion size information (e.g., "1 sandwich", "150g serving") |
Ratings & Social Proof
| Field | Description |
|---|---|
Rating Display String | Customer rating display (e.g., "4.8★ (156 reviews)") |
Promotional Elements
| Field | Description |
|---|---|
Callout Display String | Primary promotional badge or highlight (e.g., "Best Seller", "New", "Limited Time") |
Secondary Callout | Secondary promotion or flag (e.g., "Combo Available") |
Context & References
| Field | Description |
|---|---|
Store ID | Unique identifier for the restaurant/store this item belongs to |
Override Navigate URL | Custom navigation URL for the item (if applicable) |
Logging | Internal tracking/logging data used by DoorDash |
Dynamic Label Display String | Dynamic labels or special markers (e.g., "Dairy-Free Option Available") |
Quick Add Context | Metadata used for quick-add functionality |
Min Lead Time | Minimum preparation/delivery time for this item in minutes |
Badges | Array of item badges (e.g., "Popular", "Healthy", "Spicy") |
How to Use
- Locate store URLs — Visit DoorDash, find the restaurant(s) you want to monitor, and copy the store page URL from your browser's address bar.
- Prepare your input — Create a JSON config file with
urls,ignore_url_failures, andmax_items_per_url. Paste multiple store URLs if monitoring a chain across locations. - Configure item limits — Set
max_items_per_urlbased on menu size. A typical restaurant menu has 50–150 items; use200for large menus or50for quick sampling. - Run the scraper — Execute the actor and monitor progress. The scraper fetches each store and collects menu data.
- Download results — Export as CSV, JSON, or Excel. Results include all 18+ fields per item.
Best practices:
- Use
ignore_url_failures: truewhen scraping multiple locations to prevent partial failures from stopping the entire run. - Lower
max_items_per_urlon test runs to understand menu structure before full extraction. - Store URLs include location codes (e.g.,
44070358) — use exact URLs for accuracy rather than generic restaurant pages.
Use Cases & Business Applications
- Competitive monitoring: Track competitor pricing and menu changes weekly or monthly
- Menu analytics: Identify top-rated items, dietary trends, and category performance
- Price benchmarking: Compare similar items across restaurant chains in your market
- Supply chain optimization: Understand what menu items are most demanded by geography
- Market research: Build datasets for studying food delivery trends and consumer preferences
By automating menu extraction, you reduce manual data collection from hours to minutes and maintain fresh, accurate competitive intelligence.
Conclusion
The DoorDash Store Menu Scraper provides a fast, reliable way to capture detailed menu and pricing data from any DoorDash restaurant listing. Whether you're monitoring competitors, conducting market research, or building a menu aggregation platform, this scraper delivers structured, analysis-ready data in a single run. Extract menus at scale and unlock insights hidden in plain sight.