Uber Eats - Restaurant Leads for Sales

Unlock unparalleled growth with a meticulously curated Restaurant Leads for Sales dataset sourced directly from Uber Eats. Gain a competitive edge across their dominant markets including North America, Europe, Australia, and key Asian cities.

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Explore Restaurant Leads for Sales

This interactive table provides a glimpse into the rich, actionable insights available within our comprehensive Restaurant Leads for Sales dataset. Our data streams are optimized for effortless integration into your existing CRM or analytics platforms.
Restaurant Name Cuisine Type City Avg Rating Total Reviews Contact Status +... Additional Data Points
Taste of Thailand Thai Los Angeles 4.6 1,872 Available Yes - Click to unlock
Pizza Palace Italian London 4.3 3,125 Available Yes - Click to unlock
Healthy Bowl Co. Healthy Sydney 4.5 988 Available Yes - Click to unlock
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OTHER DATASETS

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

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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

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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.

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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

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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+
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