How do I download data using the API?

When using the API to download data from Nasdaq Data Link, you first have to identify which data feed you'd like to get data from.

You can go to to see our data feeds. Once you find a data feed you're interested in, click on that data feed and look for its API type and see the "Usage" tab for API examples.

For example, if you go to go to and click on the Sharadar Equity Prices data feed, you'll be led to At the right-hand panel, you'll see some basic information about the data feed, including the API type for that feed — in this case, it's Tables API:

From, you can also click on the "Usage" tab and that will show you API examples for that particular feed. The "Usage" tab would lead you to You would have to be logged in to your account to see the API examples. If you do not have a Nasdaq Data Link account, please create an account in order to see the API examples. 

The data feeds on Nasdaq Data Link have a "Usage" tab that provide API examples for that specific feed.

To learn how to use our API in more depth, please see our complete API documentation

While you review the documentation, please keep in mind that almost all of the data on Nasdaq Data Link comes in two formats: time-series and tables. You can learn more about these formats here.


To use the API with data in time-series format, please see the documentation here

To use the API with data in tables format, please see the documentation here.

Custom APIs
Although very rare, a few data feeds use a custom API and do not use the API for time-series or tables. Each data feed that uses a custom API comes with documentation that explains how to make API calls for that feed. For example, the ORATS Smoothed Options Market Quotes data feed uses a custom API, and does not have a "Usage" tab but its Documentation explains how to make custom API calls. Please note that data feeds using a custom API may only be downloaded via the custom API routes described in their documentation. These data feeds may not be downloaded through the Python Package, R Package or Excel Add-In.

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