Custom Datasets Pricing

You can request a custom dataset tailored to your needs, delivered on-demand or scheduled. Suitable for businesses with specific requirements and domains that aren’t in the Bright Data dataset marketplace.

Ready-made scrapers of the most popular websites, built, maintained, and validated by Bright Data. Historical and fresh data is available for immediate purchase. Datasets are customizable to fit any business requirement, reducing costs and enabling precise data acquisition.

The 3 primary API endpoints serve distinct purposes in the data collection workflow, facilitating a structured and efficient process in obtaining tailored datasets.

• Requesting a Collection: The initial step is defining the data you want to collect. This is used when specifying the parameters for a new dataset collection, like defining the dataset ID and type, or when discovering new data or specifying URL collections.
• Checking Collection Status: This step involves querying information on an existing data collection request to understand its current state. It's used when checking the status or details of a collection request, such as the total number of lines, the freshness of data, or other pertinent details.
• Initiating a Collection: This step triggers the data collection, transitioning from the request phase to the actual data gathering phase. It's used after defining the collection parameters and when ready to start the data collection process.

One-time purchases are calculated according to the minimum cost per record with applicable discounts. The subscription pricing model is the same, but discounts are more advantageous because of the commitment to ongoing purchases.

• Our custom dataset refresh rate is driven by customer requirements, which can be specified via our API, platform, or subscription settings.
• For our marketplace datasets, the refresh cadence varies. A portion of the data is updated daily through our network, while the rest is refreshed on a schedule determined by our data management team.