Overview
Nasdaq Data Link (formerly Quandl) gives you access to a vast library of financial, economic, and alternative datasets including stock prices, futures, and macro indicators. An API key is required and free accounts get access to many public datasets. It is a great resource for anyone learning to work with financial data in Python or JavaScript.
Beginner Tip
Start with free public datasets like WIKI stock prices by using your API key in the query string: ?api_key=YOUR_API_KEY. The response includes dates and OHLCV (Open, High, Low, Close, Volume) columns in an easy-to-parse format.
Available Data
Example Response
{
"status": "success",
"data": {
"result": "Data from Nasdaq Data Link",
"description": "Stock market data",
"timestamp": "2025-01-15T10:00:00Z"
}
} Field Reference
dataset.name Human-readable name of the dataset dataset.column_names List of column headers corresponding to each data row (e.g., ["Date", "Open", "Close"]) dataset.data Array of data rows, each row matching the order of column_names dataset.frequency How often the data is updated, e.g., "daily", "monthly" dataset.newest_available_date The most recent date for which data is available Implementation Example
const url = "https://docs.data.nasdaq.com/";
// Replace headers or query params with the values required by this API.
const response = await fetch(url, {
headers: {
"X-API-Key": "YOUR_API_KEY"
}
});
if (!response.ok) throw new Error(`Request failed: ${response.status}`);
const data = await response.json();
console.log(data); What Can You Build?
Note: These code examples are AI-generated and unverified. Always refer to the official API documentation for accurate usage.
Common Errors & Troubleshooting
Matrix Score Breakdown
Partially tested on Apr 5, 2026
Technical Specifications
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