A Etsy products dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.
url
: The URL or link to the productproduct_id
: Unique identifier for the productlisting_inventory_id
: Inventory identifier for the listingtitle
: Title or name of the productrating
: Average rating of the productreviews_count_shop
: Number of reviews for the shopreviews_count_item
: Number of reviews for the iteminitial_price
: Initial/original price of the productdiscount_percentage
: Discount offered on the productfinal_price
: Final price of the product after discountcurrency
: Currency used for pricingimages
: Images of the productbreadcrumbs
: Navigation breadcrumbs for the productroot_category
: Root category of the productseller_name
: Name of the seller or vendorseller_shop_name
: Name of the seller's shopseller_response
: Response from the selleritem_details
: Details about the itemshipping_return_policies
: Shipping and return policiesproduct_specifications
: Specifications of the productrelated_searches
: Related searches for the productfaqs
: Frequently asked questions about the productcategory_tree
: Category tree of the producttop_reviews
: Top reviews for the productphotos_from_reviews
: Photos from reviewslisted_date
: Date when the product was listed
And a lot more.
This is a sample subset which is derived from the "Etsy products" dataset which includes more than 8.1M 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 Etsy products dataset.
Leverage an Etsy dataset to analyze customer demographics, purchase patterns, product preferences, reviews, and more. By understanding target market satisfaction and preferences, you can adjust your marketing and sales strategies accordingly. Set the optimal price for your products by analyzing competitor pricing on similar items. Keep your pricing competitive and make adjustments as needed to maximize sales and profits. Analyze the popularity of products and categories, along with the performance of specific items over time. Use this data to track sales trends and inventory levels, enabling informed decisions for restocking and production planning.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.