metadata

license: other
license_name: bright-data-master-service-agreement
license_link: https://brightdata.com/license
task_categories:
  - text-classification
  - summarization
  - text-generation
  - text2text-generation
language:
  - en
tags:
  - books
  - literature
  - reading
  - reviews
  - authors
  - ratings
  - genre analysis
  - book summaries
  - AI
  - NLP
  - Natural Language Processing
  - Machine Learning
  - ML
  - entertainment
  - Goodreads
  - book reviews
  - LLM
size_categories:
  - 1M<n<10M

Dataset Card for "BrightData/Goodreads-Books"

Dataset Summary

Explore a collection of millions of books with the Goodreads dataset, comprising over 6.3M structured records and 14 data fields updated and refreshed regularly.

Each entry includes all major data points such as URLs, book IDs, titles, authors, ratings, number of ratings, reviews, summaries, genres, publication dates, author details and prices.

For a complete list of data points, please refer to the full "Data Dictionary" provided below.

To explore additional free and premium datasets, visit our website brightdata.com.

If you are using this dataset, we would love your feedback: Link to form.

Data Dictionary

Column name	Description	Data type
url	URL of the book	Text
id	Book id on the website	Text
name	Name of the book	Text
author	Book author	Array
star_rating	Star rating of the book 1-5	Number
num_ratings	Number of people who left a rating	Number
num_reviews	Number of reviews on the book	Text
summary	Book summary	Text
genres	Book genre	Array
first_published	First published date	Text
about_author	About the author	Object
> name	Author name	Text
> num_books	Number of books by the author	Number
> num_followers	About the author	Text
community_reviews	Community reviews breakdown	Object
> 5_stars	5 stars	Object
>> reviews_num	Number of reviews	Number
>> reviews_percentage	Percentage of reviews	Number
> 4_stars	4 stars	Object
>> reviews_num	Number of reviews	Number
>> reviews_percentage	Percentage of reviews	Number
> 3_stars	3 stars	Object
>> reviews_num	Number of reviews	Number
>> reviews_percentage	Percentage of reviews	Number
> 2_stars	2 stars	Object
>> reviews_num	Number of reviews	Number
>> reviews_percentage	Percentage of reviews	Number
> 1_stars	1 stars	Object
>> reviews_num	Number of reviews	Number
>> reviews_percentage	Percentage of reviews	Number
kindle_price	The price of the book on kindle	Price

Dataset Creation

Data Collection and Processing

The data collection process involved extracting information directly from Goodreads, ensuring comprehensive coverage of the required attributes. Once collected, the data underwent several stages of processing:

Parsing: Extracted raw data was parsed to convert it into a structured format.
Cleaning: The cleaning process involved removing any irrelevant or erroneous entries to enhance data quality.

Validation:

To ensure data integrity, a validation process was implemented. Each entry is checked across various attributes, including:

Uniqueness: Each record was checked to ensure it was unique, eliminating any duplicates.
Completeness: The dataset was examined to confirm that all necessary fields were populated or filled, with missing data addressed appropriately.
Consistency: Cross-validation checks were conducted to ensure consistency across various attributes, including comparison with historical records.
Data Types Verification: Ensured that all data types were correctly assigned and consistent with expected formats.
Fill Rates and Duplicate Checks: Conducted comprehensive checks to verify fill rates, ensuring no significant gaps in data, and rigorously screened for duplicates.

This ensures that the dataset meets the high standards of quality necessary for analysis, research and modeling.

Example JSON

[
  {
    "url": "https://www.goodreads.com/book/show/13330237-the-best-of-archie-comics-volume-2",
    "id": "13330237-the-best-of-archie-comics-volume-2",
    "name": "The Best of Archie Comics, Volume 2",
    "author": [
      "Archie Comics"
    ],
    "star_rating": 4.23,
    "num_ratings": 623,
    "num_reviews": "28",
    "summary": "The celebration of 70 years of Archie Comics fun continues with this full-color collection with over 400 pages of classic and much-loved comic book stories featuring America’s favorite teenagers.\n\nFollowing up on the success of the top-selling The Best of Arche Comics , this second volume brings together another must-have collection for Archie fans young and old!\n\nThe Best of Arche Comics Book Two collects some of the best-known and beloved Archie stories, hand-picked from the company’s rich, 70-year history. Included in this volume are exclusive behindthe- scenes anecdotes from the creators who brought the stories to life!\n\nAn essential addition to anyone’s library",
    "genres": [
      "Comics",
      "Graphic Novels",
      "Humor",
      "Fiction",
      "Graphic Novels Comics",
      "Young Adult",
      "Childrens",
      "Comedy"
    ],
    "first_published": "9/4/2012",
    "about_author": {
      "about": "Archie Comics is an American comic book publisher headquartered in the Village of Mamaroneck, Town of Mamaroneck, New York, known for its many series featuring the fictional teenagers Archie Andrews, Betty Cooper, Veronica Lodge, Reggie Mantle and Jughead Jones. The characters were created by publisher/editor John L. Goldwater, written by Vic Bloom and drawn by Bob Montana. They were based in part on people met by Goldwater \"in the Midwest\" during his travels throughout the United States while looking for jobs and places to stay.Archie's first appearance in Pep Comics #22 on December 22, 1941, was drawn by Montana and written by Vic Bloom. With the creation of Archie, publisher Goldwater hoped to appeal to fans of the Andy Hardy movies starring Mickey Rooney. Archie Comics is also the title of the company's longest-running publication, the first issue appearing with a cover date of Winter 1942. Starting with issue #114, the title was shortened to simply Archie.",
      "name": "Archie Comics",
      "num_books": 4375,
      "num_followers": "386"
    },
    "community_reviews": {
      "1_stars": {
        "reviews_num": 5,
        "reviews_percentage": 0
      },
      "2_stars": {
        "reviews_num": 28,
        "reviews_percentage": 4
      },
      "3_stars": {
        "reviews_num": 106,
        "reviews_percentage": 17
      },
      "4_stars": {
        "reviews_num": 164,
        "reviews_percentage": 26
      },
      "5_stars": {
        "reviews_num": 320,
        "reviews_percentage": 51
      }
    },
    "kindle_price": "$8.99"
  }
]