---
license: cc0-1.0
task_categories:
- text-classification
- text-generation
language:
- en
tags:
- books
- goodreads
- web-scraping
- recommendation-systems
- literature
size_categories:
- 1K<n<10K
---

# Goodreads Books Dataset

## Dataset Description

A comprehensive dataset of books scraped from Goodreads, including ratings, authors, titles, and various book characteristics.

This dataset contains **3045 books** with **20 features** each, scraped from Goodreads. It's perfect for:

- 📚 Book recommendation systems
- 📊 Literary data analysis  
- 🤖 Machine learning projects
- 📈 Rating prediction models
- 🔍 Book discovery algorithms

## Dataset Structure

### Features

| Column | Type | Description |
|--------|------|-------------|
| rank | int64 | Book rank |
| percentile_rank | float64 | Book percentile rank |
| book_id | int64 | Book book id |
| title | object | Book title |
| author | object | Book author |
| rating | float64 | Book rating |
| rating_category | object | Book rating category |
| rating_tier | object | Book rating tier |
| is_high_rated | bool | Book is high rated |
| title_length | int64 | Book title length |
| title_complexity | object | Book title complexity |
| word_count | int64 | Book word count |
| author_count | int64 | Book author count |
| author_name_length | int64 | Book author name length |
| has_series_info | bool | Book has series info |
| series_number | float64 | Book series number |
| title_type | object | Book title type |
| has_subtitle | bool | Book has subtitle |
| has_middle_name | bool | Book has middle name |
| estimated_popularity | object | Book estimated popularity |


### Statistics

- **Total Records**: 3,045
- **File Size**: 0.43 MB
- **Data Quality**: 97.0% complete
- **Average Rating**: 4.06
- **Rating Range**: 0.00 - 4.93

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("codealchemist01/goodreads-books")

# Access the data
df = dataset['train'].to_pandas()
print(df.head())
```

## Data Collection

The data was collected through web scraping of Goodreads.com using ethical scraping practices:
- Respectful rate limiting
- Robots.txt compliance
- No personal user data collected

## Citation

If you use this dataset in your research, please cite:

```
@dataset{goodreads_books_2025,
  title={Goodreads Books Dataset},
  author={Kutay Ahin},
  year={2025},
  url={https://huggingface.co/datasets/codealchemist01/goodreads-books}
}
```

## License

This dataset is released under the CC0 1.0 Universal License.