Dataset: Bookstore

About this Dataset

Bookstore

Scraping an online bookstore using Python typically involves using libraries like BeautifulSoup or Scrapy to extract data from web pages. Once the data has been extracted, it can be processed and stored in different formats such as CSV (Comma-Separated Values), JSON (JavaScript Object Notation), and database formats like SQLite or MySQL.

Tables

Bookdata

@kaggle.bishop36_bookstore.bookdata

1.56 MB
998 rows
13 columns


CREATE TABLE bookdata (
  "availability" BIGINT,
  "category" VARCHAR,
  "description" VARCHAR,
  "num_reviews" BIGINT,
  "price" DOUBLE,
  "price_excl_tax" DOUBLE,
  "price_incl_tax" DOUBLE,
  "product_type" VARCHAR,
  "stars" BIGINT,
  "tax" DOUBLE,
  "title" VARCHAR,
  "upc" VARCHAR,
  "url" VARCHAR
);