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Metropolitan Tokyo Dining and Review Archive

Product Reviews & Feedback

Tags and Keywords

Restaurants

Tokyo

Tabelog

Reviews

Gastronomy

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Metropolitan Tokyo Dining and Review Archive Dataset on Opendatabay data marketplace

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About

Exploring the culinary landscape of Japan's capital through the lens of Tabelog, the nation's most prominent restaurant review platform, provides a deep understanding of dining trends and consumer preferences. This collection captures basic information and detailed rating scores for approximately 126,000 establishments across Tokyo. Unlike simple averages, the scores here reflect a sophisticated logic that weights user influence and review volume, offering a nuanced view of restaurant quality. It serves as a vital resource for anyone looking to decode the competitive food scene in one of the world's most dense gastronomic hubs.

Columns

  • store_id: A unique numerical identifier for each restaurant, derived directly from its official URL on the platform.
  • name: The official name of the dining establishment as listed on the review site.
  • nearest_station: The name of the railway or subway station located closest to the restaurant's physical address.
  • nearest_distance: The calculated distance from the nearest station to the restaurant, measured in metres.
  • genre: The culinary category or type of food served, such as Izakaya or various international cuisines.
  • rating_val: The official quality score on a 5-point scale, calculated using a weighted system that considers reviewer credibility.
  • review_cnt: The total number of individual reviews submitted by users for the establishment.
  • save_cnt: The number of times users have added the restaurant to their personal "saved" lists for future visits.
  • budget_dinner: The expected price range for an evening meal, provided in Japanese Yen.
  • budget_lunch: The expected price range for a midday meal, provided in Japanese Yen.

Distribution

The data is delivered in a CSV file titled Tokyo_Restaurant_Reviews_Tabelog.csv with a file size of approximately 27.83 MB. It contains roughly 126,000 valid records. The dataset is structured for immediate use in analytical tools and has a static update frequency, as no future revisions are planned for this specific snapshot.

Usage

This resource is ideal for performing market research to identify high-performing dining niches or for building recommendation engines for travel applications. It is well-suited for geographic analysis to determine restaurant density around major transit hubs. Additionally, analysts can use the pricing data to conduct economic studies on dining costs across different Tokyo districts or to compare weighted ratings against total engagement metrics like saves and reviews.

Coverage

The geographic scope is strictly limited to Tokyo, Japan. While the collection is extensive, it is important to note that information is not exhaustive for certain high-density areas such as Ginza, Shinjuku, and Shimbashi. This is due to platform limitations that cap search results at 1,200 entries per category. The information provides a thorough look at the restaurant industry in Tokyo at the time of extraction, covering over 119,000 unique restaurant names.

License

CC0: Public Domain

Who Can Use It

Market researchers and hospitality consultants can leverage these records to benchmark restaurant performance and pricing strategies. App developers might utilise the data to power restaurant discovery features for tourists and locals visiting Japan. Furthermore, data science students and academic researchers can find this a valuable primary source for practising complex regression and spatial analysis on real-world consumer review data.

Dataset Name Suggestions

  • Tokyo Gastronomy: Tabelog Restaurant Ratings and Metrics
  • Metropolitan Tokyo Dining and Review Archive
  • Tabelog Japan: Tokyo Restaurant Market Intelligence
  • The Tokyo Eatery Index: Ratings, Distance, and Budgets
  • Urban Dining Trends: Tokyo Restaurant Review Dataset

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

31/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format