A Tokopedia dataset sample of over 1000 records. Dataset was extracted using the Bright Data API.
product_id
: Product idtitle
: Product's titleurl
: URL of the product listingcurrency
: Currency of the pricedelivery
: Product delivery detailsfinal_price
: Final price of the productinitial_price
: Initial price of the productseller_name
: Product seller namedescription
: Description of the productavailability
: Availability of the productreviews_count
: Number of reviews of the productrating_count
: Number of people who rated the productrating
: Product ratingdiscussion_count
: Number of discussions of the productcategories
: Product categoriesimages_count
: Number of images of the product
And a lot more.
This is a sample subset which is derived from the "Tokopedia products" dataset which includes more than 1.2M 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 Tokopedia dataset.
Discover Tokopedia's top-selling products to enhance your inventory, pricing, and supply chain strategies. Leverage insights on popular searches and high-demand items to fine-tune your marketing efforts and maintain a competitive edge in the market. Outpace Tokopedia’s top sellers by examining their product offerings, customer reviews, and promotional strategies. Uncover new business opportunities and gain insights to strengthen your marketplace presence. Keep track of trending categories and brands on Tokopedia to stay informed about changes in consumer demand. Analyze product popularity across regions to align your brand strategy with evolving buyer preferences.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.