Articles, videos, and documentation to help you get the most from Visual Crossing Weather
In this article we are going to create a simple web app that displays weather data using the Visual Crossing Timeline Weather API. The output will be a simple HTML page that displays daily and hourly weather history data or weather forecast data (or even beyond) in a table. To download the source code for …
Continue reading “How to add weather data to a Node.js app using a Weather API and JavaScript”
In this tutorial we will create a simple frost alert using a Raspberry PI and the Visual Crossing Timeline Weather API. The aim of the simple circuit is to use colored LED lights to inform the user if frost or low temperatures are expected. A red light indicates below freezing temperatures are expected, yellow light …
Continue reading “How to create a Raspberry PI frost alert using a weather api”
The Visual Crossing Weather API supports requesting data using OData requests. This makes it easy to integrate weather data into tools that support the ODATA specification. In this article we discuss how to extend the basic ODATA requests to create dynamic queries using ODATA filters. The basic ODATA request As the introductory article discusses, the …
Continue reading “Add location and date time filters to ODATA weather data requests”
Note – If you want to use this plugin right away, you can download the ready-to-install version from the WordPress plugins directory. WordPress is a hugely popular content management system used by hundreds of millions of sites across the internet to build websites and blogs. In fact, it bills itself as “the world’s most popular …
Continue reading “How to make a WordPress plugin that uses shortcodes to show the weather forecast”
Many weather data applications such as weather widgets, weather analytics tools and information displays find it useful to communicate the current weather conditions. These conditions include current temperature, wind speed and direction, recent precipitation and more. Looking up the current weather conditions for one or more locations is easy in the Visual Crossing Weather API. …
Continue reading “How to look up the current weather conditions in the Weather API”
Google Apps Script also known as Apps Script or sometimes Google Script, is a scripting language based on JavaScript and used within Google’s G Suite applications. Although it started life as a side project within Google Sheets, today it is used as a scripting language within all of the Google apps family including Google Sheets, …
Continue reading “How can I load historical weather data using Google Apps Script?”
The above error indicates that the servers have identified that the account is attempting to execute more weather requests at a single time than is allowed by the current plan. When a request above the permitted limit is executed, the HTTP response code returned will be “429 Too Many Requests”. In the case of plans …
Some more complex weather API requests such as history summary requests can take longer times to execute. In those cases, we offer the ability to execute the requests asynchronously. In these cases, the same weather API request is made but, rather than waiting for the full request to complete and return data, the request will …
The standard Visual Crossing Weather query page makes it easy to create weather API queries and download CSV data for multiple weeks or months and multiple locations. However, sometimes you need to retrieve more weather data than can easily be fetched via simple browser query. If you need thousands of rows of results, many locations, …
Continue reading “How to use cURL to fetch bulk weather data”
In our previous articles about integrating Weather History data into Power BI and Microsoft Excel, we have used the Visual Crossing Weather API to retrieve historical weather data. In this article we discuss how to make those weather data queries automatically read the latest weather conditions using Microsoft Power Query. If you would like to …
Continue reading “Automate recent weather history data retrieval using Microsoft Power Query”