Here is a quick anatomy of the page for your reference: Once entered, hit the search icon to move to the next step.Īfter entering our first location we can now see our Query Builder and it has already started a query for you. The more accurate your location you give, the more accurate your weather will be. NOTE: Visual Crossing does not snap your location to the nearest weather station but rather it uses multiple nearby stations to interpolate more exact weather for your detailed, custom location. This value that you enter will be converted to a specific point on the globe so that the system can find the weather data for that exact location. This can be as simple as a Zip Code (60633), A latitude/longitude pair in DD format and comma separated, city name with either state or country (Chicago, IL) for completeness or a full street address of any global location.

To get started you can provide the Query Builder with the location you wish to find weather for. When you visit the query builder page for the first time, the system will request that you provide a starting location for your query. Here is a shortcut: Visual Crossing Weather Data Query Builder Let’s start by choosing the ‘Query Builder’ link from the home page we started with above. In this exercise we will focus on retrieving a CSV (comma separated values) dataset for you to directly download to your device as a standalone file.

The Visual Crossing Query Builder is designed for both simple users as well as advanced API users to either download data or build a URL query string that can be used to access our RESTful API weather service and retrieve data dynamically through virtually any scripting language, ETL, Excel, PowerBI or other data tools. Visit the web page to get started and follow the appropriate links to get into your account. Visual Crossing offers many different levels of subscriptions including a Free option. Start by visiting the Visual Crossing signup page and create an account or simply sign in to your existing account if you have already created an account. The estimated time to complete this exercise is less than 5 minutes.

Download forecast