DoorDash Food Delivery Dataset
WebDataInsights provides structured, analysis-ready data from one of the world’s largest food delivery platforms. Our DoorDash Food Delivery Dataset covers millions of restaurant listings, menu items, order-level attributes, customer ratings, delivery fees, promotional offers, and much more. Every record is clean, normalized, and query-ready so your team can put it to work from day one. Key data fields include restaurant name, cuisine type, menu item pricing, delivery fee, estimated delivery time, customer rating score, review count, active promotions, DashPass eligibility, operating hours, geo-coordinates, and payment methods accepted.
Whether you are benchmarking restaurant performance, studying fee structures across cities, building a recommendation engine, or analyzing consumer demand shifts in the food delivery market, this dataset gives you the ground-level data that traditional market research sources simply cannot provide. Updated continuously, delivered in your preferred format, and backed by a team that understands data at scale.
Request Custom DatasetQuick Stats
Price From
$199Starting Price
Records
10M+Menu Items Covered
Format
CSV / JSONDelivery Format
Delivery
ImmediateAvailability
Why Choose the DoorDash Food Delivery Dataset from WebDataInsights?
Collecting food delivery data at scale is complex — platforms change layouts, rotate fields, and restrict access. We handle all of that so you receive a clean, consistent, and reliable dataset every time, without building or maintaining your own pipeline.
Complete Restaurant & Menu Coverage
Our dataset captures every restaurant, virtual kitchen, and cloud brand operating on DoorDash — from national chains to independent local operators. Built for powerful Restaurant Menu Tracking, each listing includes full menu details: item names, descriptions, prices, customization options, and category groupings, giving you a 360° view of what’s on offer and at what price.
Ratings, Reviews & Trust Signals
Customer sentiment data is a goldmine for competitive analysis. We capture overall ratings, review counts, and quality badges (like “Top Rated” or “Most Loved”) for every restaurant in the dataset. Use this layer to rank restaurants by reputation, identify service gaps, or power recommendation algorithms that surface quality-first results.
Fully Configurable Delivery Pipeline
Your data, your way. Choose scheduled batch delivery via SFTP or cloud storage, subscribe to real-time webhook updates, or plug directly into our REST API. Formats include JSON, CSV, and Parquet. Whether your stack is a simple spreadsheet workflow or a distributed data warehouse, our pipeline adapts to fit without friction.
Structured Fee & Offer Data
Delivery fee structures on DoorDash vary by distance, time of day, membership tier, and promotional status. Our dataset captures these nuances — base delivery fee, service fee, surge pricing windows, DashPass offers, and discount flags — giving analysts the inputs needed to model fee sensitivity and promotion effectiveness across markets.
Location-Level & Distance Data
Every restaurant record includes rich Restaurant Location Data, including address, city, ZIP/postal code, latitude/longitude, and delivery radius data where available. Paired with customer demand signals and delivery time estimates, this spatial layer makes our dataset ideal for territory analysis, outlet density mapping, and market expansion research.
Real-Time Snapshots with Historical Archive
Combine live data captures with up to 24 months of historical records. Track how delivery fees evolve over time, monitor how restaurants adjust their menus and prices seasonally, and identify long-term demand trends — all within a single, unified dataset that supports both real-time dashboards and retrospective research.
DoorDash Food Delivery Dataset: What You Actually Get
Every record in this dataset is built to answer real business questions — not just fill columns. Our extraction covers the full breadth of data visible on DoorDash’s public-facing marketplace, from restaurant-level attributes down to individual menu item pricing and promotional conditions.
Our data powers everything from real-time pricing intelligence for QSR chains to academic research on food access and delivery economics. No matter your use case, the fields below give you the raw material to build something meaningful.
Core fields included in every record:
- Restaurant name, cuisine type, and brand category
- Menu item name, description, and base price
- Item modifiers, add-ons, and upsell options
- Order minimum and maximum values per restaurant
- Customer rating score and total review count
- Delivery fee, service fee, and surge pricing flag
- Estimated delivery time and distance from origin
- Active offers, discount codes, and DashPass eligibility
- Restaurant address, city, state, ZIP, and geo-coordinates
- Payment methods accepted (card, DashPass, PayPal, Apple Pay, etc.)
- Operating hours, open/closed status, and pickup availability
- Restaurant image URL, logo, and banner assets
- Popularity rank and “Trending Near You” badge data
- Timestamps for versioning and freshness tracking
Need additional fields or vertical-specific extraction? Our team supports custom scopes for enterprise clients, including tailored extractions for specific cuisine categories, metro markets, and virtual kitchen brands operating within the DoorDash food delivery marketplace.
Key Metrics
Price
$199.00Format
CSV / JSONRecords
10M+ Menu Items CoveredCoverage
GlobalUpdate Frequency
Daily / WeeklyAvailability
Instant AccessDelivery Time
ImmediatelyPreview actual dataset structure before purchase.
Sample DoorDash Food Delivery Dataset Records
A representative preview of structured records from the dataset. Each row reflects a real restaurant entry with key fields populated exactly as they appear in our delivered output.
| web_scraper_order | web_scraper_start_url | title | reviews | distance | ETA Delivery | offers | ratings | delivery fee | image | image2 | image3 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1779214158-1 | https://www.doordash.com/search/store/burger?event_type=search | Super Duper Burgers | (3k+) | 0.6 mi | 22 min | 4.7 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/043f4102-dbfa-4232-91a9-d1af58d952ba-58c08319-f363-4ad3-bd60-2040c4d670c3-retina-large.jpg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://cdn.doordash.com/media/store/header/2817.jpg | ||
| 1779214158-2 | https://www.doordash.com/search/store/burger?event_type=search | Shake Shack | (20k+) | 3.1 mi | 40 min | 4.4 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/19adc3d0-edad-412f-834a-a5ad6c55828d-retina-large.jpg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://doordash-static.s3.amazonaws.com/media/photosV2/0b2007af-8a1f-47d6-97d9-581b6334c147-retina-large.jpg | ||
| 1779214158-3 | https://www.doordash.com/search/store/burger?event_type=search | Five Guys Burgers & Fries | (1k+) | 4.3 mi | 44 min | 4.7 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/b00b2819-e20b-4564-9d55-ae4aaa83a74e-retina-large.jpg | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/c1227a80-180a-4a1a-a38a-ee167053371e-retina-large.jpg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://doordash-static.s3.amazonaws.com/media/photosV2/d7549100-7893-4fc2-aeda-70e01ba4be99-retina-large.jpg | |
| 1779214158-4 | https://www.doordash.com/search/store/burger?event_type=search | NomNom Burger | (500+) | 1.8 mi | 36 min | $7 off on $45+ | 4.7 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/29bd8794-6880-4d0b-b556-bbc2d783f8c5-retina-large.jpeg | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/25092be5-2f80-4797-a51f-a0213e5b3b52-retina-large.jpeg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://doordash-static.s3.amazonaws.com/media/store/header/5fdce2c6-e996-498f-a38b-c30b67243ab4.jpeg |
| 1779214158-5 | https://www.doordash.com/search/store/burger?event_type=search | ||||||||||
| 1779214158-6 | https://www.doordash.com/search/store/burger?event_type=search | Louie's Original | (1k+) | 2.8 mi | 36 min | $5 off on $25+ | 4.6 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/64d354fc-f620-4ba6-8a7e-312e423857d1-retina-large.jpg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://doordash-static.s3.amazonaws.com/media/store/header/5ad1b177-7551-42ff-8104-4f9633e4419a.jpg1800x1200 | |
| 1779214158-7 | https://www.doordash.com/search/store/burger?event_type=search | Burger King | (10k+) | 1.3 mi | 30 min | 4.4 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/78eaf453-82fc-49bb-af50-afe18de6ed69-retina-large.png | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/eef4b9a1-c1ae-4339-992e-879ded776b3b-retina-large.png | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://doordash-static.s3.amazonaws.com/media/photosV2/1ad858d1-64d0-4a1d-9cbc-c3e59457e7f1-retina-large.png | |
| 1779214158-8 | https://www.doordash.com/search/store/burger?event_type=search | Calibur | (10k+) | 8.2 mi | 49 min | Farther away (+$2.99 fee) | 4.6 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/0d6b422e-b07d-45db-9757-86e3a1d586cb-f4432ac9-e451-4d44-ae7a-c9b7944a2c4d-retina-large.jpg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://doordash-static.s3.amazonaws.com/media/store/carousel/934ed254-b2d1-41b5-89b5-4718860b89e4.jpg | |
| 1779214158-9 | https://www.doordash.com/search/store/burger?event_type=search | Roam Artisan Burgers | (10k+) | 2.4 mi | 40 min | 4.6 | $0 delivery fee, first order | https://img.cdn4dd.com/p/fit=cover,width=1200,format=auto,quality=50/media/photosV2/a22fca47-8305-4a80-8475-fd5619958d11-retina-large.jpg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://cdn.doordash.com/media/store/header/3916.jpg | ||
| 1779214158-10 | https://www.doordash.com/search/store/burger?event_type=search | Habit Burger & Grill | (10k+) | 12.0 mi | 52 min | Farther away (+$4.99 fee) | 4.4 | $0 delivery fee, first order | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,format=auto,width=800,quality=50/https://doordash-static.s3.amazonaws.com/media/photosV2/c90e1b43-49b8-4cf0-b723-d5fc5bb62787-retina-large.jpg |
DoorDash Dataset Categories: A Complete Breakdown
Our DoorDash dataset spans every vertical and data type available on the platform — from cuisine-level restaurant data to fee structures, order conditions, and promotional mechanics.
Restaurant Listings Dataset
Every active restaurant on DoorDash captured at scale. This dataset layer gives you a complete, up-to-date map of the food delivery marketplace, from national QSR chains and franchise locations to independent restaurants, virtual kitchens, and ghost brands. Ideal for market mapping, territory planning, and outlet-level benchmarking.
- Restaurant name, brand, and virtual kitchen tags
- Cuisine type and multi-category labels
- Address, city, ZIP, and geo-coordinates
- Operating hours and real-time open/closed status
- Pickup availability and scheduled delivery flags
- Popularity rank and featured placement data
Pricing & Fee Dataset
A granular breakdown of every cost component in the DoorDash ordering experience. This data layer covers both menu-side pricing and platform-side fees, giving analysts everything they need to model total order cost, compare fee structures across markets, and track how pricing evolves over time in response to demand and competition.
- Menu item base price and size variants
- Modifier pricing and add-on costs
- Delivery fee, service fee, and small order fee
- Surge pricing window flags
- DashPass fee waivers and member-only rates
- Order minimum thresholds per restaurant
Ratings & Reviews Dataset
Consumer trust data aggregated from across the DoorDash platform. This dataset layer captures aggregate sentiment, quality recognition signals, and review volume for every listed restaurant. Use it to rank restaurants by reputation, identify quality gaps in specific markets, or train recommendation models that surface high-rating results ahead of the competition.
- Aggregate rating score (0–5 scale)
- Total review count and recent review volume
- Quality badges including Top Rated and Most Loved
- Sentiment indicators from review summaries
- Rating trend data over time (subscription plans)
- New restaurant flags and rating recency signals
Offers & Promotions Dataset
A real-time view of every active promotion running across the DoorDash marketplace. This layer is especially valuable for competitive intelligence teams monitoring how rival brands structure their discount strategies, and for analysts studying the relationship between promotional activity, order volume, and customer acquisition in the food delivery sector.
- Active discount codes and offer descriptions
- Percentage-off and flat-rate promotional types
- Free delivery promotions and time-limited deals
- DashPass exclusive offers and bundled deals
- First-order discount flags and referral offers
- Spend threshold offers (e.g., $5 off $25+)
Order & Delivery Dataset
Operational data covering the end-to-end delivery experience on DoorDash. This layer captures estimated delivery windows, coverage zones, order constraints, and real-time availability signals that logistics teams and operations analysts use to model service quality, identify delivery bottlenecks, and benchmark speed performance across markets.
- Estimated delivery time range (min to max)
- Distance from restaurant to delivery zone
- Delivery radius and coverage area data
- Order minimum and maximum cart values
- Contactless delivery and leave-at-door flags
- Real-time availability and pause status
Payment & Platform Dataset
Platform metadata and payment infrastructure data for every restaurant on DoorDash. This layer helps teams understand how DoorDash compares with platform competitors, which restaurants leverage sponsored placements, how payment method availability correlates with order conversion, and how DashPass membership affects fee structures and offer eligibility across different restaurant types and markets.
- Accepted payment methods per restaurant
- DashPass membership eligibility flags
- Apple Pay, Google Pay, and PayPal availability
- Gift card and DoorDash credit redemption support
- Platform listing type: standard, sponsored, or featured
- Multi-brand and ghost kitchen identifiers
Site & Marketplace Coverage
DoorDash operates across multiple high-demand markets. We cover all active regions where delivery data is publicly available — with city-level granularity in key markets.
United States
Primary market. Covers 4,000+ cities across all 50 states including major metros like New York, Los Angeles, Chicago, Houston, and Phoenix. Full restaurant, menu, fee, and offer data available at ZIP-code level.
Canada
Strong DoorDash presence across Toronto, Vancouver, Calgary, Ottawa, and Montreal. Province-level segmentation available. One of DoorDash’s fastest-growing markets outside the US, with high lead potential for restaurant analytics.
Australia
DoorDash holds significant market share in Sydney, Melbourne, Brisbane, and Perth. Our Australian coverage includes full restaurant and fee data across all active metro zones with consistent field parity to the US dataset.
Japan
DoorDash operates in Tokyo and expanding metro areas in Japan. High-value market for international food brands and restaurant chains. Our Live Crawler Services cover active Japanese markets on request.
New Zealand
DoorDash is a growing player in New Zealand’s food delivery market, with strong traction in Auckland and Wellington. Increasing demand from restaurant chains and investors makes it a high-potential market for data-driven analysis.
Custom Markets
Expand your DoorDash Food Delivery Dataset with restaurant name, cuisine type, menu pricing, delivery fees, ETA, customer ratings, review counts, active promotions, and regional availability tracking.
Use Cases of the DoorDash Food Delivery Dataset
From QSR strategy teams to independent researchers, the DoorDash dataset powers a wide range of analytical and commercial applications across the food and tech industries.
For Restaurant Chains & QSR Brands
Gain complete visibility into how your locations are listed, priced, and rated across DoorDash relative to competitors in the same market. Track how rival brands structure their promotions, identify underperforming outlets by comparing ratings and review volume against category averages, and pinpoint menu gaps that competitors are filling. WebDataInsights delivers the platform-level intelligence that drives faster, evidence-based merchandising and pricing decisions for restaurant operators of all sizes.
- Menu Benchmarking
- Outlet Performance
- Promo Analysis
- Competitor Tracking
For Market Analysts & Research Teams
Build authoritative reports on food delivery market sizing, cuisine popularity trends, delivery fee economics, and regional demand patterns using structured, verifiable data. Our DoorDash dataset covers hundreds of thousands of restaurants and millions of menu items across active markets, replacing months of manual collection with immediately usable inputs. Segment by city, cuisine category, price tier, or restaurant type to produce analysis that speaks directly to your research objectives.
- Market Sizing
- Cuisine Trends
- Demand Research
- Fee Economics
For Investors & Strategy Consultants
Validate market assumptions before committing to expansion or investment decisions. Our dataset surfaces brand density, market saturation levels, and real-time pricing behavior across cities, giving due diligence teams platform-sourced evidence instead of self-reported restaurant data or analyst estimates. Use delivery coverage patterns and rating distributions to identify high-opportunity markets and assess competitive risk in target geographies before writing a single line of your investment thesis.
- Market Entry Analysis
- Brand Density Mapping
- Due Diligence
- Expansion Planning
For AI, ML & Data Engineering Teams
Integrate clean, consistently structured restaurant and order data directly into your ML pipeline without any pre-processing overhead. The dataset supports training of recommendation systems, demand forecasting models, delivery optimization tools, and dynamic pricing algorithms. Timestamped pricing and availability fields are ready for time-series ingestion out of the box, and labeled category fields reduce feature engineering time significantly. Custom filtered extracts for specific model training workflows are available on request.
- Recommendation Systems
- Price Prediction
- Demand Forecasting
- NLP Training Data
Benefits of the DoorDash Food Delivery Dataset
Here’s why data teams choose our ready-built DoorDash dataset over building in-house scraping infrastructure or relying on fragmented third-party sources.
Faster Decision Making
Analysts shouldn’t spend half their week collecting data. Our pre-structured DoorDash dataset reduces time-to-insight from weeks to hours. Fields are normalized, null values are handled, and the schema is consistent across all delivery batches — so your team can skip straight to analysis, visualization, and business decisions without a data cleaning sprint first.
Accurate Demand Forecasting
Historical data covering up to 24 months of restaurant and menu snapshots gives you the longitudinal view needed for real demand modeling. Study how order minimums shift ahead of busy seasons, how delivery fees respond to driver supply changes, and which cuisine categories grow in specific cities — then build forecasting models grounded in actual platform behavior rather than assumptions.
Competitive Edge in a Fast-Moving Market
The food delivery market moves fast. Prices change, promotions rotate, and new restaurants appear daily. Our dataset, which supports price monitoring workflows out of the box, ensures your team is never working with stale information. Regular update cycles mean your competitive tracking stays current — giving you the edge to respond before the window closes.
Custom Builds That Match Your Workflow
Standard plans cover most use cases, but we know enterprise teams often have specific requirements. We configure extraction scopes, delivery schedules, and output schemas to match exactly how your systems work — from nightly full-catalog refreshes delivered to S3 to filtered subset feeds for specific cities or cuisine types. The dataset works around your workflow, not the other way around.
Pricing Plans
Transparent, flexible pricing for every team size. Start with a free sample, choose a one-time pull, or subscribe for continuous data delivery.
One-Time Dataset Purchase
From $199
A single structured delivery of the DoorDash Food Delivery Dataset. Ideal for one-off research, competitor audits, or AI model training.
- Full field set included
- Data dictionary provided
- JSON, CSV, or Parquet format
- Free sample before purchase
Enterprise License
Contact Sales
Full-catalog access with real-time API, custom field extraction, and SLA-backed delivery for high-volume operations.
- Full-catalog DoorDash coverage
- Real-time API access
- Dedicated account manager
- SLA-backed delivery guarantee
Everything You Need to Know About the DoorDash Food Delivery Dataset
Answers to the most common questions we receive from customers before they start.
Our standard delivery cadence is daily for pricing, fees, availability, and offer fields, and weekly for full restaurant and menu catalog refreshes. For subscription and enterprise plans, more frequent update windows — including intraday snapshots during peak hours — are available based on your requirements. Every record carries a timestamp field so data freshness is always transparent.
Yes, absolutely. We offer a free structured sample covering representative restaurants across multiple cities and cuisine categories so you can verify field coverage, data quality, and format compatibility before committing to any plan. Click “Request Sample Dataset” anywhere on this page — no credit card or commitment required.
Our DoorDash dataset covers 4,000+ cities across the United States, plus active markets in Canada, Australia, Japan, and New Zealand. In the US, we cover all 50 states with ZIP-code-level granularity in major metros. If you need coverage for a specific city, region, or restaurant segment not in our standard scope, contact our team to discuss a custom extraction plan.
We support JSON, CSV, and Parquet formats. Data can be delivered via SFTP, AWS S3, Google Cloud Storage, Azure Blob, or via our REST API. If your infrastructure uses a different method, we’re happy to accommodate — most enterprise pipeline configurations are supported with minimal setup on your end.
Yes. Historical records going back up to 24 months are available on subscription and enterprise plans. Historical data is particularly valuable for building time-series models, studying fee and pricing behavior over time, and identifying demand seasonality patterns across specific cuisines or cities.
Yes. We offer scoped extractions for customers who only need a subset of the full catalog — by cuisine, city, price range, rating threshold, or restaurant type (chain, independent, virtual kitchen). Scoped plans reduce both dataset size and cost while ensuring your pipeline only handles the records relevant to your business.
Yes — and it’s one of the most common use cases we serve. The dataset’s consistent schema, normalized field types, and timestamped records make it an excellent input for recommendation systems, demand forecasting models, price prediction algorithms, and NLP applications using restaurant descriptions and review data. We can also provide labeled subsets or filtered extracts optimized for specific model training workflows on request.
Ready to Access DoorDash Marketplace Data?
Get a free sample dataset today — no commitment, no card required. See exactly what’s inside before you buy, and let your data do the talking.