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https://github.com/luminati-io/Amazon-dataset-samples
A sample dataset of over 1,000 Amazon product listings, extracted using the Bright Data API, perfect for competitive analysis, market trends, and eCommerce insights.
https://github.com/luminati-io/Amazon-dataset-samples
amazon api data-analysis data-science dataset ecommerce products web-scraping
Last synced: 1 day ago
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A sample dataset of over 1,000 Amazon product listings, extracted using the Bright Data API, perfect for competitive analysis, market trends, and eCommerce insights.
- Host: GitHub
- URL: https://github.com/luminati-io/Amazon-dataset-samples
- Owner: luminati-io
- Created: 2024-08-19T10:44:50.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-19T11:00:23.000Z (3 months ago)
- Last Synced: 2024-08-26T16:21:28.338Z (2 months ago)
- Topics: amazon, api, data-analysis, data-science, dataset, ecommerce, products, web-scraping
- Homepage: https://brightdata.com/products/datasets/amazon
- Size: 2.08 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-web-scraping - Amazon data
- awesome-web-scraping - Amazon data
README
# Amazon-dataset-samples
A sample dataset of 1001 Amazon products
A Amazon dataset sample of over 1000 products. Dataset was extracted using the Bright Data API.
Data points included in this free dataset:
* ```title```: Product title
* ```brand```: Product brand
* ```description```: A brief description of the product
* ```currency```: Currency of the product
* ```availability```: Product availability
* ```reviews_count```: Number of reviews
* ```categories```: Product categories
* ```asin```: Unique identifier for each product
* ```buybox_seller```: Seller in the buy box
* ```root_bs_rank```: Best sellers rank in the general category
* ```images_count```: Number of images
* ```url```: URL that links directly to the product
* ```video_count```: Number of videos
* ```image_url```: URL that links directly to the product image
* ```rating```: Product rating
* ```date_first_available```: Date when the product first became available
* ```manufacturer```: Manufacturer of the product
* ```plus_content```: Indicates the presence of additional content
* ```final_price```: Final price of the product
* ```buybox_prices```: Product price details
And a lot more.
This is a sample subset which is derived from the "Amazon Products (public data)"
dataset which includes more than 269,400,000 products.
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 Amazon products dataset](https://brightdata.com/products/datasets/amazon).
Additional Amazon datasets available:
* Amazon.es - products
* Amazon.de - products
* Amazon.co.uk - products
* Amazon.it - products
* Amazon.fr - products
* Amazon.in - products
* Amazon products search
* Amazon best seller products
* Amazon Reviews
* Amazon sellers info
* Amazon products global dataset
What are the Amazon datasets use cases?
1. Optimize Your Inventory & Pricing Strategy
Discover top-selling products that customers are searching for and buying. Enhance your entire inventory, pricing, supply chain, and marketing approach for maximum efficiency.
2. Gain a Competitive Edge
Amazon's top sellers have a winning formula. Study their products, reviews, and promotions to inspire new business ideas or invite them to join your marketplace.
3. Understand Consumer Sentiment & Brand Trends
Monitor trending categories and brands in different countries to detect changes in consumer preferences and product popularity.
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](https://brightdata.com/products/web-scraper) and [ready-to-use datasets](https://brightdata.com/products/datasets) to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application [here](https://brightinitiative.com).