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Doordash Store Menu Scraper

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Doordash Store Menu Scraper

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.

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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
}
ParameterTypeDescription
urlsArray of stringsDirect links to DoorDash store/restaurant pages. Each URL should point to a specific store location (e.g., Burger King Miami).
ignore_url_failuresBooleanIf true, the scraper continues if some URLs fail. If false, the run stops on first error. Default: true.
max_items_per_urlIntegerMaximum 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

FieldDescription
IDUnique identifier for this menu item within DoorDash
NameDisplay name of the item (e.g., "Whopper")
DescriptionFull text description of the dish, ingredients, and preparation
CategoryMenu category classification (e.g., "Sandwiches", "Breakfast", "Desserts")

Pricing

FieldDescription
Display PriceCurrent item price shown to customers
Display Strikethrough PriceOriginal or sale price (shows discounts when present)

Visuals & Media

FieldDescription
Image URLDirect link to the item's product photo

Dietary & Nutritional Info

FieldDescription
Dietary Tags ListArray of dietary classifications (e.g., "vegetarian", "vegan", "gluten-free", "contains nuts")
Serving Size Display StringPortion size information (e.g., "1 sandwich", "150g serving")

Ratings & Social Proof

FieldDescription
Rating Display StringCustomer rating display (e.g., "4.8★ (156 reviews)")

Promotional Elements

FieldDescription
Callout Display StringPrimary promotional badge or highlight (e.g., "Best Seller", "New", "Limited Time")
Secondary CalloutSecondary promotion or flag (e.g., "Combo Available")

Context & References

FieldDescription
Store IDUnique identifier for the restaurant/store this item belongs to
Override Navigate URLCustom navigation URL for the item (if applicable)
LoggingInternal tracking/logging data used by DoorDash
Dynamic Label Display StringDynamic labels or special markers (e.g., "Dairy-Free Option Available")
Quick Add ContextMetadata used for quick-add functionality
Min Lead TimeMinimum preparation/delivery time for this item in minutes
BadgesArray of item badges (e.g., "Popular", "Healthy", "Spicy")

How to Use

  1. 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.
  2. Prepare your input — Create a JSON config file with urls, ignore_url_failures, and max_items_per_url. Paste multiple store URLs if monitoring a chain across locations.
  3. Configure item limits — Set max_items_per_url based on menu size. A typical restaurant menu has 50–150 items; use 200 for large menus or 50 for quick sampling.
  4. Run the scraper — Execute the actor and monitor progress. The scraper fetches each store and collects menu data.
  5. Download results — Export as CSV, JSON, or Excel. Results include all 18+ fields per item.

Best practices:

  • Use ignore_url_failures: true when scraping multiple locations to prevent partial failures from stopping the entire run.
  • Lower max_items_per_url on 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.