Goodreads Datasets
Leverage our Goodreads dataset to refine your strategies and uncover emerging trends within the realm of books and reading habits
- Available as a custom dataset request
- Get accurate data you can rely on
- Tell us the source, we will get you the data
Goodreads Data Points
We will create a custom dataset from Goodreads’ platform focusing on publicly available data points tailored to your specific requirements. Data points may include book genres, author information, reader ratings, publication dates, and popular titles.
Subscribe to a data feed for new or updated records
Benefit from strict data validation for accuracy and reliability
Enjoy data collection management with zero effort
Streamline operations with easy data access via API
Goodreads datasets tailored to your needs
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Code maintenance
Datasets are maintained based on website structure changes.
Cost savings
Customize any dataset using filters and formatting options.
Data subscription
Get new or updated records delivered in a fresh data feed.
Flexible delivery
API, Webhook, Google Cloud, S3 bucket, SFTP, Azure, Snowflake.
File output formats
Dataset formats are JSON, ndJSON, CSV, or Excel.
24/7 support
A dedicated team of data professionals is here to help.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Goodreads data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use Goodreads datasets
Optimizing Book Assortments
Market Analysis and Segmentation
Trend Identification and Forecasting
Flexible pricing, starting from $0.001/record
- Pay only for what you need
- Free samples available
- Cut costs by filtering unnecessary data
Get your Goodreads data today.
Goodreads Dataset FAQs
What data is included in the Goodreads dataset?
We will create a custom dataset from Goodreads’ platform focusing on publicly available data points tailored to your specific requirements. Data points may include book genres, author information, reader ratings, publication dates, and popular titles.
Can I get updates for my purchased Goodreads dataset?
Yes, you can get updates to your Goodreads dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Goodreads dataset?
Yes, you can purchase a Goodreads subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the Goodreads dataset?
You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.
Can I scrape Goodreads public data by myself?
If you don’t want to purchase a dataset, you can start scraping Goodreads data using our web scraping tool.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the Goodreads dataset?
Yes, you can request specific data points from the Goodreads dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Goodreads dataset directly into my existing systems?
Absolutely, the Goodreads dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How Goodreads datasets can help me?
Leverage our Goodreads dataset for diverse applications to enhance business strategies and market insights. Analyzing this dataset can facilitate an understanding of consumer preferences and trends within the book publishing and retail industry, empowering organizations to refine book selections and marketing strategies. Access the entire dataset or customize a subset to align with your specific needs.
Popular use cases include optimizing book assortments based on reader preferences, conducting detailed market analysis and segmentation, and identifying and predicting emerging trends in reading and literature consumption.