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Bengaluru Dining Establishments Data
Food & Beverage Consumption
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides a detailed overview of Bengaluru's restaurant landscape, offering valuable insights for various applications. It includes essential details such as restaurant names, ratings, cuisines, locations, reviews, price ranges, and accompanying photos. The data points were meticulously extracted from TripAdvisor using a sophisticated web crawler, ensuring a reliable and up-to-date representation of the city's dining scene. This dataset serves as a valuable resource for anyone seeking to understand and explore the vibrant restaurant scene of Bengaluru.
Columns
- name: The name of the restaurant.
- address: The street address of the restaurant.
- addressObj/country: The country in which the restaurant is located (e.g., India).
- addressObj/postalcode: The postal code for the restaurant's address.
- addressObj/state: The state or province where the restaurant is located (e.g., Karnataka).
- cuisine: The primary cuisine type associated with the restaurant.
- description: A textual description of the restaurant, its ambience, or menu.
- DietaryRestrictions: Information about any dietary restrictions or accommodations the restaurant offers (e.g., vegetarian, vegan, gluten-free).
- Dishes: A list of popular or signature dishes offered by the restaurant.
- Features: Additional features or amenities the restaurant provides (e.g., outdoor seating, delivery, parking).
- latitude: The latitude coordinate of the restaurant's location.
- longitude: The longitude coordinate of the restaurant's location.
- localAddress: A local street address for the restaurant.
- Meal Type: The types of meals served by the restaurant (e.g., Lunch, Dinner).
- numberOfReviews: The count of reviews received for the restaurant.
- phone: The phone number of the restaurant.
- rankingDenominator: A value used in the restaurant's ranking calculation.
- rankingPosition: The restaurant's position within a ranking system.
- rating: The user rating of the restaurant.
- rawRanking: The raw numerical ranking value.
Distribution
The dataset is provided in CSV format as "Bengaluru_Restaurants.csv" and has a size of 3.39 MB. It contains 20 columns and includes 9291 records in total, with most columns showing 100% data validity.
Usage
This dataset holds immense potential for diverse purposes. It can be utilised for:
- Analysing trends in restaurant popularity, consumer preferences, and pricing dynamics.
- Refining marketing strategies and identifying target demographics.
- Enhancing customer satisfaction by understanding user feedback.
- Developing cutting-edge models for tasks like sentiment analysis, recommendation systems, and demand forecasting.
Coverage
The dataset covers the restaurant landscape specifically within Bengaluru, India, located in the state of Karnataka. The dataset is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
- Researchers can leverage it to study market trends, consumer behaviour, and economic patterns within the dining sector.
- Businesses can use the information to inform their strategic planning, targeted advertising, and service improvements.
- Data scientists and machine learning enthusiasts can employ the dataset for building predictive models, personalised recommendations, and analytical tools.
- Anyone interested in gaining insights into Bengaluru's vibrant dining scene can find this dataset valuable.
Dataset Name Suggestions
- Bengaluru Dining Establishments Data
- Bengaluru Restaurants Insights
- Karnataka Food Scene Dataset
- TripAdvisor Bengaluru Eateries
Attributes
Original Data Source: Bengaluru Dining Establishments Data
QUALITY