Name: Rolex Watch Listings
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

Rolex Watch Listings

This dataset contains information about Rolex watch listings, including key attributes such as the date of listing, the name or model of the watch, its price, and a URL linking to the listing's details.

Potential Use Cases:

Market Analysis: Analyze trends in Rolex watch prices over time.
Model Popularity: Identify which models are most commonly listed or have the highest prices.
Web Scraping Validation: Cross-check scraped data with online listings.
Consumer Insights: Provide potential buyers with an overview of available options and price ranges.

Github Repository
https://github.com/jaecabrera/playwright-rolex-scraper

Tables

Rolex 01–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_01_02_2025

4.92 MB
88,320 rows
5 columns

CREATE TABLE rolex_01_02_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 02–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_02_02_2025

5.37 MB
99,000 rows
5 columns

CREATE TABLE rolex_02_02_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 03–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_03_02_2025

5.37 MB
99,000 rows
5 columns

CREATE TABLE rolex_03_02_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 05–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_05_02_2025

662.9 kB
11,700 rows
5 columns

CREATE TABLE rolex_05_02_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 07–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_07_02_2025

5.14 MB
98,940 rows
5 columns

CREATE TABLE rolex_07_02_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 16–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_16_01_2025

4.74 MB
97,260 rows
4 columns

CREATE TABLE rolex_16_01_2025 (
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 17–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_17_01_2025

4.77 MB
97,380 rows
5 columns

CREATE TABLE rolex_17_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 18–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_18_01_2025

4.83 MB
98,580 rows
5 columns

CREATE TABLE rolex_18_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 19–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_19_01_2025

4.86 MB
98,460 rows
5 columns

CREATE TABLE rolex_19_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 20–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_20_01_2025

4.81 MB
98,400 rows
5 columns

CREATE TABLE rolex_20_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 21–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_21_01_2025

5.47 MB
98,460 rows
5 columns

CREATE TABLE rolex_21_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 22–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_22_01_2025

5.47 MB
98,640 rows
5 columns

CREATE TABLE rolex_22_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 24–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_24_01_2025

5.54 MB
99,420 rows
5 columns

CREATE TABLE rolex_24_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 25–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_25_01_2025

5.52 MB
99,180 rows
5 columns

CREATE TABLE rolex_25_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 27–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_27_01_2025

5.51 MB
98,820 rows
5 columns

CREATE TABLE rolex_27_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 28–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_28_01_2025

5.5 MB
98,700 rows
4 columns

CREATE TABLE rolex_28_01_2025 (
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 29–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_29_01_2025

5.49 MB
98,820 rows
5 columns

CREATE TABLE rolex_29_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 30–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_30_01_2025

5.52 MB
99,060 rows
5 columns

CREATE TABLE rolex_30_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);

Rolex 31–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_31_01_2025

5.41 MB
99,480 rows
5 columns

CREATE TABLE rolex_31_01_2025 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" VARCHAR,
  "name" VARCHAR,
  "price" DOUBLE,
  "url" VARCHAR
);