Dataset: Rolex Watch Listings

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 24–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_24_01_2025

5.28 MB
99420 rows
5 columns


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

Rolex 31–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_31_01_2025

5.16 MB
99480 rows
5 columns


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

Rolex 22–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_22_01_2025

5.22 MB
98640 rows
5 columns


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

Rolex 30–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_30_01_2025

5.26 MB
99060 rows
5 columns


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

Rolex 07–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_07_02_2025

4.9 MB
98940 rows
5 columns


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

Rolex 25–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_25_01_2025

5.27 MB
99180 rows
5 columns


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

Rolex 03–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_03_02_2025

5.13 MB
99000 rows
5 columns


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

Rolex 19–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_19_01_2025

4.63 MB
98460 rows
5 columns


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

Rolex 28–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_28_01_2025

5.24 MB
98700 rows
4 columns


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

Rolex 01–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_01_02_2025

4.69 MB
88320 rows
5 columns


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

Rolex 02–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_02_02_2025

5.13 MB
99000 rows
5 columns


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

Rolex 16–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_16_01_2025

4.52 MB
97260 rows
4 columns


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

Rolex 27–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_27_01_2025

5.25 MB
98820 rows
5 columns


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

Rolex 29–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_29_01_2025

5.23 MB
98820 rows
5 columns


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

Rolex 18–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_18_01_2025

4.61 MB
98580 rows
5 columns


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

Rolex 21–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_21_01_2025

5.22 MB
98460 rows
5 columns


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

Rolex 17–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_17_01_2025

4.55 MB
97380 rows
5 columns


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

Rolex 05–02–2025

@kaggle.jaepin_rolex_watch_listings.rolex_05_02_2025

647.37 KB
11700 rows
5 columns


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

Rolex 20–01–2025

@kaggle.jaepin_rolex_watch_listings.rolex_20_01_2025

4.59 MB
98400 rows
5 columns


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