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Getting Started with the Quandl API

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Every single dataset on Quandl is available via our API. The API is simple, consistent and completely free to use. Here’s a quick and easy guide to get you started.

This is not meant to be a formal reference for the Quandl API; merely a quick-start guide. To read the complete and definitive documentation, please click here.
To start using the Quandl API:
Sign up for a free API key

Synopsis

Here is an API call for FB stock data in CSV format:

https://www.quandl.com/api/v3/datasets/WIKI/FB/data.csv

Here is the same call, with some additional parameters appended:

https://www.quandl.com/api/v3/datasets/WIKI/FB/data.csv?column_index=4&exclude_column_names=true&rows=3&start_date=2012-11-01&end_date=2013-11-30&order=asc&collapse=quarterly&transform=rdiff

The second call gets FB stock data, but only column 4 (closing prices); it skips column names, truncates the data at 3 rows, selects only data between 2012-11-01 and 2013-11-30, arranges the dates in ascending order, down-samples daily data to quarterly, and computes percentage changes.

Usage Rules

API usage is free for registered users; just append your API key to your call like this:

https://www.quandl.com/api/v3/datasets/WIKI/FB/data.csv?api_key=YOURAPIKEYHERE

You can find your API key on your Quandl account settings page.

(For concision, we will not be including the api_key parameter in the remaining examples on this page).

Quandl Codes

To download a dataset, you will need to know its “Quandl code”.  In the above example, you downloaded a dataset with the Quandl code “WIKI/FB”.

Every Quandl code has 2 parts: the database code (“WIKI”) which specifies where the data comes from, and the dataset code (“FB”) which identifies the specific time series you want.

You can find Quandl codes on our website, using our data browser.

Data Formats

You can get data in CSV, XML or JSON formats.  Just append your preferred format to your Quandl code.

CSV
.csv
https://www.quandl.com/api/v3/datasets/WIKI/FB/data.csv
XML
.xml
https://www.quandl.com/api/v3/datasets/WIKI/FB/data.xml
JSON
.json
https://www.quandl.com/api/v3/datasets/WIKI/FB/data.json

Data Manipulation

You can customize the data you receive by passing optional parameters with your API call.  Here are some of the available options:

Sort Order Use

"order=asc|desc"

to specify the order in which data is returned

Date Range Use

"start_date=yyyy-mm-dd"

and/or

"end_date=yyyy-mm-dd"
Specific Columns Use

"column_index=m"

to return only data from column m

Truncated Rows Use

"rows=n"

to return only the first n rows of data

Data Only Use

"exclude_column_names=true"

to return only data rows in CSV

Data Frequency Use

"collapse=none|daily|weekly|monthly|quarterly|annual"

to sample observations at your desired frequency

Data Arithmetic Use

"transform=none|diff|rdiff|cumul|normalize"

Use to get changes, % changes, cumulative sums, or returns from 100

To see a full list of options and their detailed behaviour, please visit our API reference.

 

Getting Metadata

You can use the API to get metadata for the dataset you need, in JSON format, like this:

https://www.quandl.com/api/v3/datasets/WIKI/FB/metadata.json

Or if you prefer XML format, like this:

https://www.quandl.com/api/v3/datasets/WIKI/FB/metadata.xml

You can get both data and metadata in one call like this:

https://www.quandl.com/api/v3/datasets/WIKI/FB.json

Or this:

https://www.quandl.com/api/v3/datasets/WIKI/FB.xml

 

Downloading Lots of Data in One Call

For premium (subscriber-only) databases, you can download the entire database in a single call, like this:

https://www.quandl.com/api/v3/databases/YC/data?download_type=complete

If you just want the last day’s worth of data, do this:

https://www.quandl.com/api/v3/databases/YC/data?download_type=partial

 

Getting a list of datasets or databases

For a list of all databases on Quandl, do this:

https://www.quandl.com/api/v3/databases

For a list of datasets in a given database, do this:

https://www.quandl.com/api/v3/databases/WIKI/codes.json

 

Full Reference

This is not meant to be a complete reference for the Quandl API. See our full API documentation for that.

Start using Quandl’s API

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16 Comments
  • Jack says:

    Hi,

    I am trying to connect to Quandl via R but I get this error message:

    Error in curl::curl_fetch_memory(url, handle = handle) :
    Couldn’t connect to server

    How do I fix this?

    Thanks

    • Raquel Sapnu says:

      Hi Jack,

      You most likely are experiencing a firewall issue. You can ask your network administrator for your proxy settings and use this code to bypass them:

      library(httr)
      set_config(
      use_proxy(url=”18.91.12.23″, port=8080, username=”user”,password=”password”)
      )

      Hope this helps.

  • RK says:

    Excellent API service, and very well documented.
    Thanks for giving this away for free! 🙂

  • Prashant says:

    Hi. I have a query. I want end of day prices (for a given day only) for a list of stocks in one API call either in excel, json or xml format. Currently I am making one dataset API call for each stock (using dataset_code) which is not an effective way of fetching data. I need following values, OPEN, HIGH,LOW,LAST,TOTTRDQTY and TOTTRDVAL for a list of 100 stocks in a single API call.What is the best way to go about doing it?

    • Carrie Shaw says:

      Hi – if you are using a premium database, you can use the bulk download feature to accomplish this. Otherwise you have to make single api calls. Can you kindly confirm the name or code of the database you are working with? I might be able to offer additional suggestions based on the database.

  • bowranger says:

    Hi. I wonder how do I get certain columns?
    EG: column_index=1,3,5

    • Carrie Shaw says:

      Hello –
      The best way to do this is to get the whole dataset and then remove the columns you don’t need. There is no way to just get the three columns.

  • Sandy Jones says:

    Hi,

    Can you tell me if this

    “Quandl objects can also be configured via the .configure(options) method. Here is an exmaple:

    var Quandl = require(“quandl”);
    var quandl = new Quandl();

    var options = {
    auth_token: “dsahFHUiewjjd”
    }

    quandl.configure(options);”

    should be in an app.js file? Or should it be in its own file?
    Thanks

  • […] our quick start guide to learn our API syntax, or go to our documentation portal for a full […]

  • Ravinder reddy says:

    how can only present trade values …….please help me….
    example i am dsplaying https://www.quandl.com/api/v3/datasets/WIKI/AAPL/data.csv?end_date=2016-02-23 , i need to display present updating values

  • I have a concern do I need an api key from quandl to use plot.y.

    • Chris Harding says:

      Hello Craig! You would not need an api key to view data on plot.ly. You can simply click on the plot.ly button from any dataset page to access the data.

  • […] we launched the marketplace, our API served 15 million dataset downloads a month. Today, we serve that many every single […]

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