DoorDash Dataset
Access pre-compiled datasets containing DoorDash restaurant records with ratings, reviews, complete menus, and delivery data across major markets. Our curated datasets include verified restaurants and comprehensive menu information.
Get instant access to structured food delivery data without web scraping complexity. Ideal for researchers, analysts, and businesses requiring large-scale food delivery market intelligence for strategic decision-making.
- 88,368 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
DoorDash Dataset Use Cases
Food Service Academic Research
Conduct research on food delivery economics, restaurant digitalization, and consumer behavior with comprehensive platform data. Access clean, structured datasets perfect for hospitality and restaurant industry studies.
Restaurant Business Intelligence
Benchmark restaurant performance on delivery platforms, optimize menu offerings, and analyze competitive positioning. Make data-driven decisions on pricing, promotions, and operational improvements.
Ghost Kitchen & Virtual Brand Strategy
Analyze successful restaurant concepts, identify cuisine gaps, and evaluate market opportunities for delivery-only restaurants. Use data to inform ghost kitchen location and menu concept decisions.
Food Delivery Analytics Platform Development
Build restaurant intelligence tools, market analysis platforms, and menu optimization systems using rich delivery datasets. Enhance food service technology products with comprehensive market data.
DoorDash Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 6 minutes ago.
Advanced DoorDash Web Scraper Available Now!
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Real-time data with live updates from DoorDash
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Datasets Available
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DoorDash Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use DoorDash dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by DoorDash. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect DoorDash user credentials. By using this dataset, you agree to comply with DoorDash's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
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Frequently Asked Questions
This dataset provides comprehensive DoorDash restaurant listings with ratings, reviews, menus, pricing, and delivery data. You can browse, filter, and export data by cuisine type, rating, location, and delivery fee in multiple formats.
The dataset includes star ratings, review counts, delivery ratings, and popularity indicators for restaurants. Analyze how ratings correlate with order volume, compare performance across cuisines, and identify top-performing establishments.
Menu data includes item names, descriptions, prices, categories, and customization options. Study pricing strategies across restaurant types, identify trending menu items, and analyze how pricing affects order patterns.
The dataset includes restaurant names, cuisines, addresses, hours, delivery times, fees, minimum order amounts, and promotional offers. Analyze restaurant characteristics and delivery economics across markets.
Track review velocity, rating trends, and order indicators to identify growing restaurants. Analyze which cuisines gain popularity, study seasonal demand patterns, and monitor new restaurant launches.
Yes — the dataset includes customer review data with ratings for food quality, delivery speed, and order accuracy. Analyze sentiment, identify satisfaction drivers, and understand customer expectations for delivery.
Use DoorDash data to compare delivery fees, service charges, and menu pricing across cities and neighborhoods. Analyze how delivery economics vary by market density and competitive intensity.
Restaurants are categorized by cuisine type, meal period, dietary options, and restaurant format. Analyze category performance, dietary trend adoption, and cuisine diversity across different markets.
Track new restaurant listings appearing on the platform over time. Monitor market expansion, identify growing neighborhoods, and study which restaurant types DoorDash prioritizes for onboarding.
The dataset is refreshed regularly to capture new restaurants, menu changes, price updates, and new reviews. Historical data enables trend analysis and seasonal pattern identification across food delivery markets.
Restaurant owners and operators use the dataset to benchmark against competitors, analyze menu pricing strategies, study promotional effectiveness, and optimize their DoorDash presence.
Yes — filter by estimated delivery time, restaurant hours, and real-time availability to analyze operational patterns. Study which restaurants maintain consistent availability and fast delivery times.
The dataset includes promotional offers, discounts, DashPass eligibility, and featured placements. Study how promotions affect restaurant visibility and analyze marketing effectiveness across different offer types.
Data can be exported in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply filters and select specific fields before exporting to get the precise dataset you need for your analysis or application.
Analysts use the dataset to study delivery economics, restaurant density patterns, cuisine preferences, and ordering behavior to inform market entry decisions and understand the food delivery ecosystem.
