Uber Eats Dataset

Unlock unparalleled competitive insights with our comprehensive Uber Eats Dataset. Gain a strategic advantage by understanding market dynamics and optimizing your operational approach.

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DATA POINTS

What invaluable insights does our Uber Eats data reveal?

Our meticulously compiled dataset offers granular detail on Uber Eats venues, including extensive menu items, dynamic pricing structures, and intricate delivery fee models. This rich information empowers you to precisely map their market coverage, identify top-performing restaurants, and analyze their strategic partnerships. Ultimately, leverage this deep intelligence to benchmark your own platform's performance, refine your pricing strategies, and forge a robust, data-driven competitive roadmap.

This category includes all the fundamental information that uniquely identifies a restaurant and its physical location. This data is the foundation for sales teams to generate leads and for analysts to map the market.

Restaurant Name - The official name of the venue

Full Address - The complete physical address, including street and number.

Address with City - A combined address with the city, often used for importing into CRM systems.

City - The city where the venue is located.

District - A district or area within the city.

Neighborhood - The specific neighborhood or housing estate.

Country - The country where the venue is located.

Latitude - The geographic latitude, crucial for geospatial analysis.

Longitude - The geographic longitude, crucial for geospatial analysis.

Price range - The estimated price range of the venue (e.g., $, $$, $$$).

This data enables direct contact with decision-makers at the venue and verification of the legal entity, which is crucial for sales and operations teams.

Phone Number - The contact phone number for the venue.

Email Address - The email address, often used for initial contact.

Official Website(s) - The URL of the restaurant's official website.

Legal Organization Name - The legal name of the company operating the venue.

Owner / Contact Person - The name of the owner or a key contact person.

This group contains information about how the venue operates on delivery platforms. This data allows for assessing popularity, availability, and specific operational details on each app.

Venue Type - The final, refined classification of the venue (e.g., Restaurant, Retail, Bar, Cafe).

Operational Status - Indicates whether the venue is open, temporarily closed, or permanently closed.

Opening Hours - The venue's opening hours for each day of the week.

Average Rating - The average rating given by users on a specific platform.

Total Rating Count - The total number of reviews, which provides context for the average rating.

Source-Specific URLs - Direct links to the venue's profile on specific platforms (e.g., Uber Eats, Wolt).

Delivery Type - Specifies whether deliveries are handled by the platform or the venue itself (Marketplace vs. Platform).

Product Categories - More detailed categories assigned to the venue, e.g., Pizza, Sushi, Burgers.

Estimated Time of Arrival (ETA) - The estimated delivery time provided by the app, key for analyzing logistical competitiveness.

All data related to the costs incurred by the customer. This is essential for pricing teams to create competitive strategies, analyze margins, and understand competitors' fee structures.

Base Price - The standard price of a product on the menu.

Sale Price - The product's price after a discount is applied.

Delivery Fee - The basic fee for the delivery service.

Delivery Fee After Discount - The delivery fee after a promotion is applied.

Service Fee - An additional service charge added by the platform.

Small Order Fee - A fee for orders that are below a certain value threshold.

Other Fee Components - Other fee elements, such as a bad weather fee or a marketplace fee.

Minimum Order Value (MOV) - The minimum order total required for a delivery, often dependent on distance.

Detailed information about the venue's offerings. This data allows for the analysis of assortment, item popularity, and the completeness of the menu presentation.

Item Name - The name of the dish or product.

Item Description - A marketing description of the dish.

SKU / Item ID - A unique identifier for the product in the system.

Menu Categories - Categories within the menu, e.g., "Soups," "Main Courses," "Beverages".

Item Image URLs - Links to the photos of individual dishes.

Missing Menu Descriptions - A flag indicating that a product is missing a description.

Missing Menu Images - A flag indicating that a product is missing an image.

Data related to the marketing and promotional activities conducted by venues on platforms. This allows for tracking competitor strategies and optimizing your own campaigns.

Promotion Details - Detailed information about active promotions.

Standardized Promotion Types - Standardized promotion categories, e.g., "2 for 1" (2_FOR_1) or "delivery discount" (DELIVERY_DISCOUNT).

Banner Promotions- Information on participation in banner promotions on the app's main page.

Advertised Delivery Fee - A promotional, advertised fee for delivery.

Sponsored Listings - Indicates whether a venue's position in a list is sponsored/paid.

Subscription Plan Participation - Shows if a venue is part of a subscription program like Uber One or Wolt+.

This is often processed or aggregated data that provides strategic market insights. It enables the measurement of market share, identification of trends, and assessment of competitive positioning.

Group ID / Cross-Platform Presence - A unique ID assigned to the same venue appearing on different platforms. This allows for analyzing where competitors are present.

Chain Identification - A flag indicating if a venue is part of a larger restaurant chain (e.g., McDonald's, KFC).

QSR & Chain Coverage - Data on the market coverage of Quick Service Restaurants (QSRs) and chains, crucial for analyzing strategic partnerships.

Delivery Zone / Radius - The area within which a venue provides delivery, allowing for analysis of competitor reach.

Trending Restaurants - Identification of venues that are rapidly gaining popularity, for instance, through a fast increase in the number of ratings.