BanglaDine2024: Bangladeshi Restaurant Industry Dataset

Published: 8 April 2025| Version 1 | DOI: 10.17632/hxrmzggw5b.1
Contributors:
Md Mahmudul hasan Shahin,
,

Description

Dataset Overview This comprehensive dataset contains detailed information on 58,376 active restaurants across Bangladesh, scraped from Google Maps in 2024. The dataset comprises 221 columns spanning spatial, temporal, and operational metrics, making it the first large-scale, publicly available restaurant operations dataset from Bangladesh. Key Features 1. Geographic coverage: Complete mapping of restaurants across Bangladesh's major urban areas 2. Temporal data: 24-hour traffic patterns for all seven days of the week 3. Operational metrics: Opening hours, customer ratings, review counts 4. Business information: Names, addresses, cuisine types, contact details 5. Facility data: Detailed amenities and service offerings 6. Online presence indicators: Websites, social media links 7. Customer feedback: Ratings (5-point scale) and review counts Data Specifications 1. Format: JSON, CSV 2. Size: 58,376 records 3. Dimensions: 221 columns 4. Time period: Data collected in 2024 5. Source: Google Maps Platform 6. Data types: Categorical, numerical, and text data

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Institutions

United International University

Categories

Artificial Intelligence, Geographic Information System, Machine Learning, Industrial Analysis, Business to Business Marketing, Nutrition in Restaurant Context, Restaurant, Community Planning

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