Amazon-popular-books-dataset

A Github dataset of the most reviewed and best-selling books on Amazon. This Amazon dataset contains more than 190,000 best-selling books. Each book title on this Amazon dataset has gained 10,000 reader reviews or more, making them stand out as the most popular books available.

Key data points included in this free dataset:

• ASIN
• ISBN10
• Categories
• Reviews count
• Avg. rating
• Number of sellers
• URL
• Image
• Final price
• Title
• Description
• Availability

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How was this Amazon dataset created

This is a sample subset which was forked from the "Amazon bestseller products (public data)" dataset which totals 1,742,990 Amazon best-selling products. The data was exlusively extracted from Amazon using the Bright Data Amazon Scraper, which integrates rotating residential proxies and the web unlocker infrastructure.

The full dataset that was extracted during the 2d week of May was reduced into a smaller subset using smart filter queries available on the Bright Data datasets control panel.

Data point filter queries used for filtering this Amazon data subset:

•   categories: "Books"
  

•   reviews_count: {"$gte":10000}
  

Additional filter query values that can be used: ASIN, brand, # of sellers, price after discount, timestamp, best-seller rank, and more.

Datasets are hosted on snowflake for maximum filter and display speeds.

Available dataset file formats: JSON, NDJSON, CSV, XLSX.

Dataset delivery type options: API download, Amazon S3, Google cloud, Microsoft Azure, SFTP.

Buy the full dataset on Bright Data's Amazon datasets page. Purchasing a smaller subset after using smart filters may reduce the final price. This dataset is available with monthly / weekly / daily refreshes and takes only 1 day to deliver.

More eCommerce datasets available from Bright Data:

• 1,000,000 "Amazon Sellers"
• 544,000,000 "Amazon Products and Reviews"
• 375,000,000 "Walmart products and Reviews" - Learn more about the Walmart Dataset here.

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The Bright Initiative offers access to Bright Data's web data collection platform to academic faculties, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.