The Visual Crossing Weather API offers a comprehensive solution for integrating global weather data into various applications and analyses. It provides access to historical weather data spanning over 50 years, current conditions, up-to-date forecasts, and historical forecast information, all accessible through a single, unified API endpoint. This design simplifies integration, eliminating the need to learn multiple API endpoints or make numerous calls to retrieve diverse weather datasets. Designed for businesses, developers, and analysts, the API supports nearly 100 advanced weather elements, covering the entire globe. Data is sourced from over 100,000 weather stations, satellites, and high-resolution RADAR, ensuring accuracy and reliability. Beyond core weather measures like temperature and precipitation, it includes specialized elements for specific use cases such as solar energy production, agricultural management (soil temperature, moisture), wind power analysis, maritime planning (wave height), air quality monitoring, degree day calculations for HVAC and farming, and astronomical data for outdoor activity planning. Users can also receive severe weather alerts. The API delivers results in widely compatible JSON and CSV formats, facilitating easy integration into any application, including spreadsheets like Excel and Google Sheets. It supports full location geocoding, allowing queries by address, ZIP code, city name, or latitude/longitude. The RESTful API is easily consumable by various programming languages such as Java, Python, .NET, JavaScript, and Perl, and integrates seamlessly with data science tools like R and MATLAB, as well as business intelligence platforms like Microsoft Power BI and enterprise data warehouses. Visual Crossing emphasizes ease of use, cost-effectiveness with free and flexible pricing plans, and high data quality, processing over one trillion weather records daily to provide accurate, high-resolution answers to millions of queries.

Features & Benefits

• Unified Weather Data Access
  • Provides historical weather data, current conditions, weather forecasts, and climate normals through a single API query, simplifying data retrieval.
  • Sub-hourly, Hourly and Daily Data granularity.
  • Access to over 50 years of historical weather data for any global location.
• Extensive Data Catalog
  • Offers nearly 100 advanced weather elements, catering to diverse application and analysis needs.
  • Core Elements: Temperature, precipitation, wind, humidity, UV Index.
  • Specialized Elements: Solar radiation, soil temperature/moisture, wind speed/direction at various heights, wave height, air quality, degree days, astronomy (sunrise, sunset, moon phase), and severe weather alerts.
• Global Coverage & Accuracy
  • Leverages data from over 100,000 weather stations, satellites, and high-resolution RADAR to ensure accurate and reliable global weather information.
• Flexible Integration & Output
  • Supports various programming languages and data analysis tools, delivering results in standard, easy-to-consume JSON and CSV formats.
  • Full location address geocoding using address, ZIP code, city name, or latitude/longitude.
  • Designed for both client and server usage, with easy integration into JavaScript, Java, Python, Perl, .NET, R, MATLAB, Excel, Power BI, Google Sheets, and enterprise databases.
• Cost-Effective & Accessible
  • Offers flexible pricing plans, including a free tier for commercial and non-commercial use up to 1000 records per day, alongside pay-as-you-go and subscription options.