Visual crossing weather api

Author: f | 2025-04-25

One such weather API is the Visual Crossing Weather API. In this article, we will be learning about this API and its features. Connect to the Visual Crossing Weather API. What is the Visual Crossing Weather API? The Visual Crossing Weather API is a forecast and historical weather API by Visual Crossing Corporation. It provides a 16-day global

Visual Crossing - Weather API Weather

Although Google disabled their weather API years ago (except on their Android platform), many users and developers continue to struggle to find a good weather API option that is both free for basic and personal use cases and has the power of a full 15-day forecast and rich history API that can pull from decades of historical weather records. Thanks to Visual Crossing Weather’s Timeline Weather API, there is an easy-to-use option for anyone looking for the Google Weather API. With a single call you can request an entire range of dates including past observations, present conditions, and future forecast data. This makes the Timeline API one of the easiest and most flexible weather APIs available. While it is completely free for simple use cases, it is powerful enough for use in the most demanding business applications.Quick Steps to Get StartedSign up for a free Visual Crossing Weather account here : our web-based Query Builder to explore the available weather data.Download data in CSV format for immediate use in any analysis tool such as Excel or copy the query URL for use in your application.Quick Steps to Replace the Google Weather APIAfter signing up for a Visual Crossing Weather Account, make sure that you are logged in.Click the Account button in the upper right.On the Account screen, copy your API Key, and save it for step 5.Find your existing code where it calls the Google Weather API for forecast.Replace the Google Weather URL with a URL of the following form: the forecast results in JSON format described here: and here (If you prefer to work with a CSV table result, use the parameter “contentType=csv” in the query URL in step 5.)If you have code that uses history queries, change the query parameters as described in the article below.For more details, Temperature: ~a°C, Precipitation: ~a mm~%" (getf (aref (getf json-data :days) 0) :datetimeStr) (getf (aref (getf json-data :days) 0) :temp2m) (getf (aref (getf json-data :days) 0) :precipitation)))))) ;; Replace these values with your actual API key and location(setq api-key "YOUR_API_KEY")(setq location "Leesburg, VA")(setq start-date "2023-01-01")(setq end-date "2023-01-07")(get-weather api-key location start-date end-date)(Before using this code directly, make sure to replace “YOUR_API_KEY” with your actual Visual Crossing API key. You can obtain a free API key by signing up for a Visual Crossing Weather account.)This example fetches the weather forecast for a given period (January 1, 2023 through January 7, 2023) for a specified location (Leesburg, VA). You can adjust these parameters according to your specific requirements. For more information on how to do that, keep reading.Understanding the sampleLet’s break this code sample down into sections, to better understand what it is doing in detail.The first part of the code defines a get-weather function that takes our API Key, the location, a start date, and an end date as parameters. It then configured an HTTP query to the Visual Crossing Timeline API URL that will retrieve the weather data for these parameters. Then it uses the HTTP library to send the URL to Visual Crossing and retrieve the results.(defun get-weather (api-key location start-date end-date) (let* ((api-endpoint " (params `(("key" . ,api-key) ("location" . ,location) ("startDate" . ,start-date) ("endDate" . ,end-date))) (url (format nil "~a?~a" api-endpoint (drakma:encode-query-string params))) (response (drakma:http-request url)))The next part of the code checks to see if the HTTP response returned a success code (200). If it did, then it uses the JSON library to parse the HTTP response. (when (= (cdr (assoc :status response)) 200) (let* ((json-data (json:decode (drakma:body-string (cdr (assoc :content response))))))The final code in our function uses the parsed JSON result to display the temperature and precipitation each day in our weather data result. (format t "Weather data:~%") (format t "Date: ~a, Temperature: ~a°C, Precipitation: ~a mm~%" (getf (aref (getf json-data :days) 0) :datetimeStr) (getf (aref (getf json-data :days) 0) :temp2m) (getf (aref (getf json-data :days) 0) :precipitation))))))Although this function is designed to be reusable, you would need to make some changes before using it in production code. For example, you would want to improve the rudimentary error handling. Also, you would likely want to do something more clever than simply printing a few weather measures. Instead, you would likely want to pass them along to some type

The Easiest Weather API - Visual Crossing

Please continue reading this article.What makes the Timeline API an Ideal Choice for those Looking for the Google Weather API?The Timeline Weather API offers several key features that make it ideal for those looking for an improved Google Weather API.CostOne of the main features that people consider when they look for a Google Weather API is cost. To many people, Google represents a source of free, or at least extremely low cost, and accurate data from web stats, to maps, to search results. And although Google services are not always free, even the ones that are not free typically have a free tier that covers most individual users and then an extremely low price-point where business and bulk users can purchase access very economically.The Visual Crossing Weather Timeline API follows this model exactly. All users get 1000 records per day completely free. This is enough for most individual users such as those who want to track their favorite sports teams, plan travel, or build a weather project using Raspberry Pi. For those who need more weather data for business intelligence applications, data science, research, and analysis purposes, Visual Crossing offers a Pay-as-you-go plan for only $0.0001 per record after the first 1000. This means that even serious data users can get hundreds of thousands of weather records for only a few dollars. For even more economical weather data access, heavy users can opt for a monthly plan that includes the query power of millions of weather records per month starting at only $35. Ease-of-useAnother hallmark of Google APIs and services is their ease-of-use. The Timeline Weather API was designed specifically with ease-of-use as its driving goal. One simple API call can retrieve weather data covering an entire range of dates including historical data from the past and the weather forecast. One such weather API is the Visual Crossing Weather API. In this article, we will be learning about this API and its features. Connect to the Visual Crossing Weather API. What is the Visual Crossing Weather API? The Visual Crossing Weather API is a forecast and historical weather API by Visual Crossing Corporation. It provides a 16-day global The Visual Crossing Weather Data platform is designed to provide global weather data coverage for both historical weather data and. Weather API Defining the icon set parameter in the Weather API. Visual Crossing / Septem . The Visual Crossing Weather API has an option to return a icon name for each row of weather data. This. Weather

Timeline Weather API - Visual Crossing

Any web page URL and the weather data will be returned in format that the dashboard tool can understand. Here’s an example of a typical weather API URL that retrieves the weather forecast for London, United Kingdom. this article we are going to use the Visual Crossing Weather API, which provides easy access to all the types of weather data we are discussing here. Weather APIs can typically return data in one or more data formats. In the case of the Visual Crossing API, one format is CSV, just as with the individual files above. In the above example, the weather forecast for London, United Kingdom is retrieved in CSV format. Another common format is a format known as JSON (JavaScript Object Notation – see here for more technical details). Here’s the same London,UK forecast but in JSON format:{ "latitude": 51.5064, "longitude": -0.12721, "resolvedAddress": "London, England, United Kingdom", "address": "London,UK", "timezone": "Europe/London", "tzoffset": 1.0, "days": [ { "datetime": "2021-09-29", "tempmax": 59.3, "tempmin": 48.6, "temp": 53.8, "precip": 0.04, "hours": [ { "datetime": "00:00:00", "temp": 54.9, "precip": 0 }, ...The JSON format appears to be more complex than the simple CSV table, but that additional sophistication provides some very interesting features. The main feature that JSON allows for is for the single weather data set to include more than just one simple table. If we look back at the CSV data, we can see we have one row of weather data for every day. The JSON data allows a lot more information. For example, this data includes both the day-level data we saw in CSV and the hourly detailed weather data for each of those days. In addition, the JSON data includes information about the requested location (the latitude, longitude, time zone etc.). Finally, the JSON data can include the latest real-time Of analysis or perhaps create a more sophisticated display system.The last part of the code sample simply sets up the variables for our query, including our API Key, location, and dates. In production code, you could drive parameters such as the location and dates from user input or based on the type of analysis that you are trying to accomplish. The code then calls the get-weather function that we defined above to do the heavy lifting.;; Replace these values with your actual API key and location(setq api-key "YOUR_API_KEY")(setq location "Leesburg, VA")(setq start-date "2023-01-01")(setq end-date "2023-01-07")(get-weather api-key location start-date end-date)This is just a sample that has been simplified to show the basic flow of querying data and parsing Visual Crossing Weather JSON results in LISP. Obviously, production code would be more careful in handling error cases and more flexible in the data being queried. However, this should give any LISP coder a good starting point to use when developing your own LISP weather applications.Questions or need help?If you have a question or need help, please post on our actively monitored forum for the fastest replies. You can also contact our Support Team.

What is a Weather API? - Visual Crossing

December) falls outside the standard forecast window, the weather engine will use the historical weather database to model the expected conditions for each day throughout the rest of the year at the requested location, and provide those summary results. Finally, the results will include the current conditions at the requested location. These values are provided by the most recent observations (usually in the last few minutes) at weather stations near the location.This example shows how one, simple weather query can combine the power of various weather sources to supply a lot of valuable weather data for any worldwide location. Of course, this is just the beginning of the clever and useful queries that you will run using the Timeline Weather API.SummaryThe Visual Crossing Weather Timeline API is the best weather data API for those seeking a replacement for the Google Weather API. It follows the week-known Google patterns of providing access to details within huge volumes of worldwide and historical data. It combines enormous volumes of weather data from many disparate sources and makes that data easily accessible via a simple API as well as the web-based Query Builder interface. And it provides all of this at a cost that is free for most individual users and is extremely cost-effective for businesses and bulk data users.Questions or need help?If you have a question or need help, please post on our actively monitored forum for the fastest replies. You can also contact our Support Team.

Weather API Changelog - Visual Crossing

Lies or when in the temporal timeline you wish to query. The Timeline API will use its vast pool of reporting stations and the most accurate interpolation algorithms to find the best weather results.The same applies to current conditions and weather forecasts. Current conditions are updated from the reporting stations every few minutes where available. Weather forecasts employ various global and local models to determine the most reliable forecast for every worldwide location. Beyond the basic 5 or 7-day forecast that other weather APIs offer, the Timeline API provides a full 15-day standard forecast.For dates beyond the traditional 15-day forecast window, the Visual Crossing Weather Engine uses decades of historical weather data to provide an ultra-long-range “statistical forecast.” It does this by building a weather model based on the specific location, time, and date using historical reports and climate data. It considers not only the specific date requested, but also nearby dates with similar weather patterns. The engine can then calculate an expected range of conditions for any date in the future.In addition, the Timeline API offers other valuable data features such as weather alerts, astronomical data, and more. Weather alerts provide data on storms and other important weather conditions that affect a specific locations. Astronomical data includes sun rise and set times as well as phases of moon. These metrics can be valuable in various recreational activities such as star gazing and sports schedules as well as agricultural growing period calculations and evening business activities. Get started in the next 5 minutesYou can get started making your first weather query in less than 5 minutes. Simply sign up for a free account, enter your account details, and you’ll be ready to get 1000 free results right away, every day. It is as simple as that. You can begin by. One such weather API is the Visual Crossing Weather API. In this article, we will be learning about this API and its features. Connect to the Visual Crossing Weather API. What is the Visual Crossing Weather API? The Visual Crossing Weather API is a forecast and historical weather API by Visual Crossing Corporation. It provides a 16-day global The Visual Crossing Weather Data platform is designed to provide global weather data coverage for both historical weather data and. Weather API Defining the icon set parameter in the Weather API. Visual Crossing / Septem . The Visual Crossing Weather API has an option to return a icon name for each row of weather data. This. Weather

Replacing the Yahoo Weather API - Visual Crossing

LISP, which stands for List Processing, is a programming language known for its unique approach to data representation and manipulation through linked lists. Originally developed in the late 1950s, LISP has played a crucial role in the development of artificial intelligence and symbolic reasoning systems. One of its distinctive features is its homoiconic nature, where code and data share a common syntax, allowing programs to be easily manipulated as data structures. LISP is well-suited for tasks such as symbolic reasoning, language processing, and rule-based systems, and fits well into various AI methodologies. Its dialects, including Common Lisp and Scheme, are used in a variety of domains, from academic research to specific applications in artificial intelligence, robotics, and computer-aided design. The simplicity of its syntax and its expressive power make LISP a language of choice for those seeking flexibility and abstraction in programming. For these reasons, adding weather data as input to a LISP program often is a valuable addition to many LISP-based projects.In this article we will show how to load weather data into a LISP program using Visual Crossing’s Timeline API. We will use Common LISP syntax, but the basic code is easily adaptable to virtually any modern LISP environment.Common LISP doesn’t have built-in support for making HTTP requests or handling JSON responses in its standard library. However, you can easily use external libraries to achieve this functionality. One popular choice for making HTTP requests in Common Lisp is Drakma, and for JSON parsing, you can use a library such as JSON. If your environment is configured to use QuickLISP to manage libraries, you can use an import command such as this one to load these.(ql:quickload '(:drakma :json)) Note that there are various HTTP and JSON libraries that you can use instead of these. If you prefer to use different libraries, simply modify the code below to match the calling conventions of your chosen libraries.Once we’ve loaded our HTTP and JSON libraries we can use the following LISP code to fetch weather data from the Visual Crossing Timeline API and print a sample result.Sample Code(defun get-weather (api-key location start-date end-date) (let* ((api-endpoint " (params `(("key" . ,api-key) ("location" . ,location) ("startDate" . ,start-date) ("endDate" . ,end-date))) (url (format nil "~a?~a" api-endpoint (drakma:encode-query-string params))) (response (drakma:http-request url))) (when (= (cdr (assoc :status response)) 200) (let* ((json-data (json:decode (drakma:body-string (cdr (assoc :content response)))))) (format t "Weather data:~%") (format t "Date: ~a,