Getting financial data is amazingly easy with the Nasdaq Data Link Python module. For example, to get US GDP from FRED, just do this: import nasdaqdatalink mydata = nasdaqdatalink.get("FRED/GDP") Free to Use. The Nasdaq Data Link Python package is free to use and grants access to all free datasets.

Welcome to Nasdaq Data Link. You'll find comprehensive user guides to help you start working with Data Link as quickly as possible. Explore our wide array of tooling options ranging from APIs to Python SDK to Excel Add-ins and much more, designed to accommodate your diverse data extraction and analysis needs at various level of expertise.

The Nasdaq Data Link Python module is free but you must have a Nasdaq Data Link API key in order to download data. To get your own API key, you will need to create a free Nasdaq Data Link account and set your API key.

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Access millions of financial and economic data points from hundreds of publishers via the Nasdaq Data Link suite of APIs.

nasdaqdatalink.get_table('MER/F1', paginate=True) This is the syntax for calling an entire table. While most tables can be downloaded with such a call, MER/F1's size requires that you narrow down your request with filters, as shown above.

The Nasdaq Data Link R package makes it amazingly easy to get financial data. For example, to get oil prices from OPEC, just do this: mydata = Quandl("OPEC/ORB")

The source for financial, economic, and alternative datasets, serving investment professionals.

Nasdaq Data Link has a vast collection of free and open data collected from a variety of organizations: central banks, governments, multinational organizations and more. You can use it without payment and with few restrictions.

Nasdaq Data Link is a marketplace for financial, economic and alternative data delivered in modern formats for today's analysts, including Python, Excel, Matlab, R, and via our API.