Doordash Food Delivery Dataset
The Doordash Food Delivery Menu Prices & Reviews Dataset allows for scraping restaurant data for prices, delivery options, and menus in multiple countries, including Japan, Italy, Germany, Canada, USA, Australia, UK, UAE, China, India, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway. This dataset provides valuable insights into consumer preferences and market trends, giving businesses a competitive edge in the food delivery market. It includes nutritional content, ingredients, allergens, and sourcing information to promote transparency and informed consumer choices. Additionally, this data can benefit health professionals, researchers, and policymakers when making nutrition, health, and sustainability decisions.
Doordash Datasets Explained
Use structured menu item extraction to gain insights, optimize product strategies, and understand customer preferences. Our collection of food datasets, Doordash food delivery data scraping, and food dataset extraction capabilities ensure accurate and up-to-date information on:
- Restaurant Name
- Restaurant Type
- Menu Item
- Cuisine Type
- Price
- Description
- Ingredients
- Allergens
- Calories
- User Ratings
- Reviews
- Delivery Time
- Delivery Fee
- Minimum Order Amount
- Address
- City
- Country
- Opening Hours
- Closing Hours
- Discounts/Offers
- Contact Information
- Payment Methods
- Delivery Service Provider
- Order Status
- Packaging Details
- Contact Details
- Food Menu
- Menu Image
Sample Doordash Dataset Preview
| id | restaurantUrl | restaurantID | restaurantName | placeId | ImageUrl | storeOpeningHours | priceRange | telephone | ratingValue | ratingCount | latitude | longitude | cuisine | streetAddress | City | Country | postalCode | State | menu | Delivery | Pickup | DineIn |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | https://www.doordash.com/store/1199360 | 1199360 | Taco Bell | ChIJmWBXeEaaEYgRLsGu4lnX5z8 | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '8 AM', 'closes': '2:30 AM'}... | $$ | 12195311070 | 4.5 | 2964 | 41.4582913 | -87.0344363 | Mexican | Tacos | Fast Food | Tex-Mex | Comfort Fo... | 2110 Morthland Drive | Valparaiso | US | 46383 | IN | TRUE | TRUE | FALSE | |
| 2 | https://www.doordash.com/store/915838 | 915838 | Chick-fil-A | ChIJjys24Kiif4gRm26ZvKPg80s | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '6:30 AM', 'closes': '9:58 A... | $ | 19018531786 | 4.8 | 16610 | 35.046772 | -89.69699 | Chicken | American | Desserts | Barbeque | Comfort... | 1036 West Poplar Avenue | Collierville | US | 38017 | TN | TRUE | FALSE | FALSE | |
| 3 | https://www.doordash.com/store/26251097 | 26251097 | Grill Bill | ChIJVy6hzi2aEYgRC2LdqBxCnjg | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [], 'dayOfWeek': 'MONDAY'}, {'times': [... | $$ | 2192866178 | 4.8 | 95 | 41.4751187 | -87.0265454 | Chicken | Burgers | Sandwiches | 704 Silhavy Road | Valparaiso | US | 46383 | IN | [{'price': 13.99, 'menuId': '10574833673', 'rating... | TRUE | TRUE | FALSE |
| 4 | https://www.doordash.com/store/24855580 | 24855580 | Par Mar Stores | ChIJgbKzqFpNSIgRqr6X9dwcUdc | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '12 AM', 'closes': '3:15 AM'... | $$ | 16817975506 | 3.9 | 7 | 39.1879002 | -81.5270282 | Snacks | Convenience | Grocery | Personal Care | D... | 109 Elizabeth Pike | Mineral Wells | US | 26150 | WV | TRUE | TRUE | FALSE | |
| 5 | https://www.doordash.com/store/683329 | 683329 | Jameson’s Original Charhouse | ChIJf5bO7Vi7D4gR5oxrjZ_afSU | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '11 AM', 'closes': '9:40 PM'... | $$ | 18473927100 | 4.7 | 1373 | 42.138435 | -87.99886 | Seafood | Steakhouses | Dinner | 1331 West Dundee Road | Arlington Heights | US | 60004 | IL | TRUE | TRUE | FALSE | |
| 6 | https://www.doordash.com/store/25611021 | 25611021 | Urban Skillet | ChIJFf4tawGbwoARpWmCuBwXcwM | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '11:30 AM', 'closes': '9:40... | $$ | 7472240102 | 4.5 | 98 | 34.243763 | -118.53675 | Burgers | Wraps | Hot Dogs | 9545 Reseda Boulevard | Los Angeles | US | 91324 | CA | [{'price': 14.5, 'menuId': '9682792252', 'rating':... | TRUE | TRUE | FALSE |
| 7 | https://www.doordash.com/store/189776 | 189776 | The Pizza Cookery | ChIJ5Ul65pGawoARYNNvL4Tt9P8 | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '11 AM', 'closes': '8:45 PM'... | $$ | 18183637705 | 4.7 | 1850 | 34.2591015 | -118.5027889 | Italian | Pizza | Wraps | 10371 Balboa Boulevard | Los Angeles | US | 91344 | CA | TRUE | TRUE | FALSE | |
| 8 | https://www.doordash.com/store/24637804 | 24637804 | Starbucks | ChIJMwpOW8uREYgRnfvbCV8VwY8 | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '5 AM', 'closes': '7 PM'}],... | $$ | 12194773749 | 4.8 | 1037 | 41.4621407 | -87.0871871 | Coffee | Cafe | Nitro Cold Brew | Breakfast | Cold... | 2160 West Morthland Drive | Valparaiso | US | 46383 | IN | TRUE | FALSE | FALSE | |
| 9 | https://www.doordash.com/store/1227480 | 1227480 | Jack in the Box | ChIJpz3k7tUr3YARYSqixGSlza0 | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '5 AM', 'closes': '1:40 AM'}... | $$ | 17144844773 | 4.6 | 1157 | 33.847393 | -117.97678 | Burgers | Fast Food | Breakfast | Chicken | Desser... | 1101 North Magnolia Avenue | Anaheim | US | 92801 | CA | TRUE | TRUE | FALSE | |
| 10 | https://www.doordash.com/store/300050 | 300050 | Chow Time Restaurant | ChIJH3Aa0Z6Qf4gRB-6MEgylfk4 | https://img.cdn4dd.com/cdn-cgi/image/fit=contain,w... | [{'times': [{'opens': '11 AM', 'closes': '7:45 PM'... | $$ | 19017378272 | 4.5 | 1591 | 35.033466 | -89.79704 | Chinese | Seafood | Chicken | Fried Rice | Dessert | 4207 Hacks Cross Road | Memphis | US | 38125 | TN | [{'price': 15.7, 'menuId': '212248061', 'rating':... | TRUE | TRUE | FALSE |
Flexible Data Delivery
Tailored to your Doordash data intelligence needs, we provide flexibility in selecting output formats, storage options, and delivery schedules:
- Access food datasets in JSON, CSV, and other preferred formats;
- Retrieve data through SFTP or integrate directly with cloud storage solutions like Google Cloud Storage, AWS S3, and more;
- Choose one-time, monthly, quarterly, or bi-annually extract food datasets frequencies to suit your requirements.
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