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Sample dataset of 1001 Best Buy products, extracted via Bright Data API, featuring essential data points for pricing optimization, product personalization, and product inventory.

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Best-Buy-dataset-sample

A sample dataset of 1001 Best Buy products

Best Buy products dataset header

A Best Buy products dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.

Some of the data points that are included in the Best Buy products dataset:

  • url: URL of the product
  • product_id: ID of the product
  • title: Title of the product
  • images: Images of the product
  • final_price: Final price of the product after discount
  • currency: Currency of the product price
  • discount: Discount percentage or amount
  • initial_price: Initial price of the product
  • offer_price: Offer price of the product
  • root_category: Root category of the product
  • breadcrumbs: Breadcrumbs leading to the product
  • release_date: Release date of the product
  • esrb_rating: ESRB rating of the product
  • rating: Average rating of the product
  • reviews_count: Total number of reviews for the product
  • questions_count: Total number of questions for the product
  • hot_offer: Hot offers for the product
  • open_box: Open box details of the product
  • availability: Availability details of the product
  • you_might_also_need: Products that you might also need
  • variations: Variations of the product
  • highlights: Highlights of the product
  • product_description: Description of the product
  • features_summary: Summary of the features of the product
  • features: Features of the product
  • whats_included: What's included in the product
  • q_a: Questions and Answers related to the product
  • product_specifications: Specifications of the product
  • amount_of_stars: Distribution of star ratings
  • customer_images: Images uploaded by customers

And a lot more.

This is a sample subset which is derived from the "Best Buy products" dataset which includes more than 26.6K records.

Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.

Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.

Data enrichment available as an addition to the data points extracted: Based on request.

Get the full Best Buy products dataset.

What are the Best Buy products datasets use cases?

1. Pricing Optimization

Develop a pricing strategy and create dynamic pricing models by analyzing and comparing similar electronics and appliance categories within the Best Buy dataset and among competitors.

2. Product Inventory

Identify inventory gaps, monitor rising demand for specific electronics, and track trending consumer electronics products using the Best Buy dataset.

3. Market Strategy

Utilize the Best Buy dataset to conduct market strategy analysis, identifying major trends and consumer preferences in the electronics retail sector.

Free access to web scraping tools and datasets for academic researchers and NGOs

The Bright Initiative offers access to Bright Data's Web Scraper APIs and ready-to-use datasets to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.

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Sample dataset of 1001 Best Buy products, extracted via Bright Data API, featuring essential data points for pricing optimization, product personalization, and product inventory.

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