Wolt Dataset

Uncover critical market dynamics with our meticulously compiled Wolt Dataset. Gain unparalleled visibility into their operational footprint, merchant network, and customer engagement to sharpen your competitive edge.

DATA POINTS

Unpacking the Wolt Landscape: What Data Reveals?

Our comprehensive Wolt dataset meticulously extracts venue details, menu pricing, delivery zone polygons, and real-time promotional activities, offering a holistic view of their platform's ecosystem. This granular intelligence empowers your team to precisely map Wolt's geographic expansion and identify top-performing restaurant partners within crucial markets. Leverage these insights to refine your market penetration strategies, optimize merchant acquisition efforts, and benchmark your operational performance against a leading European delivery service.

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.

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., $, $$, $$$).

WHY US

Exploring Our Wolt Data Sample

The table below presents a small, representative fragment of our extensive data collection. While this glimpse offers an idea of the depth, our full Wolt Dataset provides complete coverage, ready for integration into your analytics systems. We deliver cleaned, structured data in multiple convenient formats, including direct Data Warehouse access, CSV, and XLSX.
Restaurant Name Cuisine Country Latitude Longitude Subscription plan Total Rating Count Average Rating +40 Additional Data Points
Pizzeria Rossi Italian Finland 60.170 24.940 Standard Partner 1250 4.2 Yes - Click to unlock
Kaffila Bistro Cafe Finland 60.165 24.930 Premium Tier 890 4.5 Yes - Click to unlock
Sushi Master Japanese Finland 60.175 24.938 Basic Listing 2100 4.1 Yes - Click to unlock
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The table above shows only a representative data sample.
To receive the full dataset with current, real-world data, please click the button.

DATASETS

Explore our Food Delivery Dataset Marketplace

In addition to our custom scraping services, we offer a wide range of pre-built, analysis-ready datasets covering the entire food delivery ecosystem. These datasets are perfect for immediate use in your BI tools and models, providing instant access to critical market intelligence without the lead time of a custom project. Browse our marketplace to find specific datasets on competitor pricing, market share, promotional strategies, and more.

European Electronics Retailer Pricing & Promotions

Product Name & SKU, Retailer Name, Price, Discounted Price, Promotion Type (e.g., bundle, cashback), Stock Availability, Customer Ratings, Number of Sellers, and many more.

37.7K+
3.6K+

European Hotel Pricing & Availability

Hotel Name, Location, Star Rating, Room Type, Price per Night, Availability Status, Customer Rating Score, Review Count, Included Amenities (e.g., free breakfast, parking), and many more

31.2K+
2.2K+

German Used Car Market Data

Car Make & Model, Year of Production, Price, Mileage (Przebieg), Engine Type (np. Diesel, Electric), Transmission Type, Location (PLZ), Seller Type (Private/Dealer), Date Listed, and many more.

12.2K+
0.4K+

Tech & IT Job Postings in the DACH Region

Job Title, Company Name, Location (City, Country), Required Skills & Technologies, Experience Level (Junior, Senior), Salary Range (if provided), Employment Type (Full-time, Contract), Date Posted, and many more.

64.2K+
6.7K+

Uber Eats Poland Dataset

Restaurant Name, Cuisine Type, Location (City, Area), Ratings, Customer Reviews, Menu Items, Prices, Discounts & Offers, Delivery Fees, and many more

62.2K+
4.2K+

UK Real Estate Listings - Apartments

Price, Price per Square Meter, Location (City, District), Area (in m²), Number of Rooms, Floor, Building Type, Year Built, Offer Type (Sale/Rent), Market Type (Primary/Secondary), and many more.

5.2K+
0.3K+
CUSTOM SCRAPING

Ready to Elevate Your Market Understanding?

While your interest in Wolt's strategies is a smart move, true market leadership demands a broader perspective. Our comprehensive data scraping services extend far beyond a single platform, enabling you to track every key competitor. Analyze the entire food delivery landscape to identify emerging threats, capitalize on untapped opportunities, and dominate your operational regions with unparalleled competitive intelligence.
CUSTOM SCRAPING

Ready to Elevate Your Market Understanding?

While your interest in Wolt's strategies is a smart move, true market leadership demands a broader perspective. Our comprehensive data scraping services extend far beyond a single platform, enabling you to track every key competitor. Analyze the entire food delivery landscape to identify emerging threats, capitalize on untapped opportunities, and dominate your operational regions with unparalleled competitive intelligence.
OTHER DATASETS

Beyond Wolt: Comprehensive Market Intelligence

Our data intelligence platform covers all major players in the dynamic food delivery market. Unlock seamless, apples-to-apples comparisons across platforms, allowing you to build a truly robust and adaptive competitive strategy.

Uber Eats Datasets

The flagship dataset for one of the world's largest delivery platforms. Analyze their venue coverage, eater fees, and promotional strategies.

JustEat Datasets

Access data on Just Eat's extensive market coverage and diverse venue types, from local takeaways to major enterprise chains.

Glovo Datasets

Track Glovo's multi-category dominance, from restaurants to retail and grocery delivery, with our specialized dataset.

DoorDash Datasets

Get granular insights into the leading US market player, from detailed venue analytics to their complex fee and delivery logistics.

Wolt Datasets

Monitor Wolt's rapid expansion and operational efficiency with detailed data on their venue selection and user experience metrics.

Getir Datasets

Dive into the world of ultra-fast grocery and retail delivery with specific datasets on Getir's store locations, product assortment, and pricing.

Bolt Food Datasets

Analyze the competitive strategy of this fast-growing platform, focusing on their aggressive pricing and synergy with ride-hailing.

Talabat Datasets

Understand the food delivery landscape in the Middle East with comprehensive data on Talabat's market share and consumer ratings.

PedidosYa Datasets

Explore the leading platform in Latin America. Get key data on venue partnerships and delivery operations across the region.

Delivery Hero Datasets

Access a global perspective with data from Delivery Hero's vast network of brands and international markets.

Deliveroo Datasets

Analyze Deliveroo's premium restaurant partnerships and competitive fee structures in key European and APAC markets.

Show All Datasets

Secure Your Strategic Advantage Now

Take the decisive step towards data-driven market leadership. Fill out the form below, and our expert team will promptly connect with you to prepare a personalized data sample tailored to your specific competitive intelligence needs. Gain the critical insights from our Wolt Dataset and beyond to accelerate your growth and outperform the competition.

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