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On this page
  • About
  • Data Dictionary
  • CSV Example
  1. Nimble Platform
  2. Online Pipelines
  3. Restaurants

Uber Eats US

About

The US Uber Eats Restaurants pipeline provides detailed information on various restaurants available on Uber Eats in the United States. This pipeline is valuable for market analysis, restaurant comparison, and consumer behavior studies. It includes details such as restaurant descriptions, availability, pricing, location, and ratings.

Data Dictionary

Field Name
Data Type
Explanation

data_type

string

Type of data (e.g., restaurant)

rst_uuid

string

Unique identifier for the restaurant

rst_url

string

URL of the restaurant on Uber Eats

rst_title

string

Title of the restaurant

delivery_fee

float64

Delivery fee for the restaurant

price_bucket

string

Price range of the restaurant

latitude

float64

Latitude of the restaurant location

longitude

float64

Longitude of the restaurant location

state

string

State where the restaurant is located

city

string

City where the restaurant is located

zipcode

int64

Zip code of the restaurant location

rst_address

string

Address of the restaurant

rating_score

float64

Rating score of the restaurant

rating_cnt

int64

Number of ratings for the restaurant

cuisine_cat_1

string

First cuisine category of the restaurant

cuisine_cat_2

string

Second cuisine category of the restaurant

cuisine_cat_3

string

Third cuisine category of the restaurant

cuisine_cat_4

string

Fourth cuisine category of the restaurant

cuisine_cat_5

string

Fifth cuisine category of the restaurant

phone_num

int64

Phone number of the restaurant

collection_date

float

Date when the data was collected

CSV Example

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Last updated 7 months ago