Dataset: Tokyo Restaurant Reviews On Tabelog

About this Dataset

Tokyo Restaurant Reviews On Tabelog

What's Tabelog（食べログ）

Tabelog is the most popular restaurant review site in Japan with the largest number of restaurants listed.
In addition to basic information about restaurants, the site also includes user reviews and ratings.
URL : https://tabelog.com/

Scraping Datasets from Tabelog

The datasets was created by scraping from the ranking pages.
The area is focused on Tokyo.
Due to the nature of the ranking page of the Eating List, it is not possible to get information on all restaurants if the search criteria exceeds 1,200.
I gave up on extracting information on all restaurants for the following areas.

千代田区丸の内
中央区銀座
港区赤坂
港区新橋
港区六本木
新宿区歌舞伎町
新宿区新宿
新宿区西新宿
台東区浅草
台東区上野

Notebook : https://www.kaggle.com/code/utm529fg/scraping-restaurant-reviews-from-tabelog

Rating Method on Tabelog

Users can give a restaurant a rating value on a scale of 1.0~5.0 in 0.1 increments.
The user's rating is aggregated, and the Tabelog rates each restaurant's review value on a 5-point scale with 0.01 increments.
Although the details of the evaluation method used by Eating-log has not been revealed, it appears that the calculation is not based on a simple average, but rather on a complex logic that takes into account the user's level of influence and the number of reviews for a restaurant based on the number of reviews posted by each genre.
Official Explanation of Scores : https://tabelog.com/help/score/

Tables

Tokyo Restaurant Reviews Tabelog

@kaggle.utm529fg_tokyo_restaurant_reviews_on_tabelog.tokyo_restaurant_reviews_tabelog

6.48 MB
125922 rows
16 columns


CREATE TABLE tokyo_restaurant_reviews_tabelog (
  "store_id" BIGINT,
  "name" VARCHAR,
  "nearest_station" VARCHAR,
  "nearest_distance" DOUBLE,
  "genre" VARCHAR,
  "rating_val" DOUBLE,
  "review_cnt" DOUBLE,
  "save_cnt" DOUBLE,
  "budget_dinner" VARCHAR,
  "budget_lunch" VARCHAR,
  "holiday" VARCHAR,
  "address" VARCHAR,
  "prefecture" VARCHAR,
  "municipalities_1" VARCHAR,
  "municipalities_2" VARCHAR,
  "municipalities_3" VARCHAR
);