foodpanda - Delivery Radious

Unlock granular insights into foodpanda's operational reach. Our comprehensive Delivery Radious dataset provides precise geographic service areas for restaurants across key markets like Singapore, Malaysia, and the Philippines, empowering strategic expansion and competitive analysis.

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DATA SAMPLE

Explore Delivery Radious

The concise table below offers a glimpse into the rich data points we capture for foodpanda's Delivery Radious. Our expertly curated datasets are optimized for effortless integration into your existing business intelligence systems.
Restaurant Name Cuisine Type City Delivery Radius (km) Min Order Value (USD) Delivery Fee (USD) +... Additional Data Points
Panda Express Chinese Kuala Lumpur 5.0 7.00 2.50 Yes - Click to unlock
Burger King Fast Food Singapore 3.5 5.00 1.80 Yes - Click to unlock
Sushi Tei Japanese Bangkok 4.0 10.00 3.00 Yes - Click to unlock
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OTHER DATASETS

Browse Our Complete Food Delivery Data Catalog

We scrape more than just Delivery Radious. Find data from hundreds of platforms across the Food Delivery industry and beyond.

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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

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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.

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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.

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