Yandex.Weather API

Overview

The Yandex.Weather API offers a programmatic interface for accessing current weather conditions, hourly forecasts, and multi-day predictions. Developed by Yandex LLC, it is tailored for developers and technical buyers who need to integrate detailed weather information into their applications, websites, or internal systems. The API can deliver data for specific geographical coordinates, providing granular control over the location for which weather information is requested. This capability supports a range of use cases, from displaying local weather on a travel planning site to informing logistics decisions based on expected conditions.

The API is structured to provide various data points, including temperature, humidity, wind speed and direction, atmospheric pressure, and precipitation forecasts. It supports both JSON and XML response formats, allowing developers to choose the most suitable data representation for their projects. While the primary documentation for the Yandex.Weather API is available in Russian, it includes examples and API endpoint details that can be translated for broader accessibility. The service provides a free tier, allowing up to 1000 requests per day, which is suitable for prototyping and applications with moderate usage requirements.

For developers requiring higher request volumes or advanced features, paid tiers are available, scaling based on the number of requests. The Yandex.Weather API is a relevant option for projects that require a reliable source of weather data, particularly for regions covered by Yandex's primary geographical focus. Its utility extends to various sectors, including real estate, transportation, retail, and event planning, where environmental conditions can influence operational decisions or user experience. For instance, a smart home application might use the API to adjust indoor climate control based on outdoor temperature forecasts, or an agricultural platform could monitor precipitation for crop management, as detailed in the Yandex Weather API documentation.

While Yandex.Weather provides core weather data, prospective users should consider the language barrier in its documentation if they are not Russian speakers. Successful integration often involves direct HTTP requests as dedicated SDKs for popular programming languages are not widely provided. Comparing its feature set and pricing structure against alternatives like OpenWeatherMap, which offers a global weather API, can assist in selecting the most appropriate weather data provider for specific project needs.

Key features

• Current weather conditions: Provides real-time data including temperature, perceived temperature, humidity, wind speed, wind direction, atmospheric pressure, and current weather description for specified coordinates.
• Hourly forecasts: Offers detailed weather predictions broken down by hour for the upcoming period, useful for short-term planning.
• Daily and multi-day forecasts: Delivers predictions for the next several days, including minimum and maximum temperatures, precipitation probability, and general weather summaries, as outlined in the Yandex weather forecast test documentation.
• Geographical precision: Allows requests for specific latitude and longitude coordinates, ensuring localized weather information.
• JSON and XML output: Supports common data interchange formats for easy parsing and integration into various applications.
• Precipitation data: Includes information on precipitation type (rain, snow), intensity, and duration forecasts.
• UV index: Provides ultraviolet radiation index forecasts, relevant for health and outdoor activity planning.

Pricing

Yandex.Weather API offers a free tier and various paid plans based on request volume. Pricing is typically denominated in Russian Rubles (RUB).

Pricing as of 2026-05-28. For the most current and detailed pricing information, refer to the official Yandex.Weather API pricing page.

Common integrations

• Web and mobile applications: Displaying local weather conditions or forecasts within consumer-facing apps.
• Logistics and transportation systems: Optimizing routes or scheduling based on expected weather conditions.
• Smart home devices: Integrating weather data to automate climate control or provide environmental context.
• Agricultural platforms: Monitoring weather patterns for irrigation scheduling, planting, and harvesting decisions.
• Event planning tools: Assessing weather risks for outdoor events and making contingency plans.
• Digital signage: Updating public displays with current weather and forecasts.

Alternatives

• OpenWeatherMap: Offers global weather data, forecasts, and historical information with various API plans.
• AccuWeather Developer API: Provides highly localized and global weather data, including forecasts and severe weather alerts.
• Tomorrow.io Weather API: Focuses on hyper-local and minute-by-minute forecasts, particularly useful for specific industries.

Getting started

To begin using the Yandex.Weather API, you need to obtain an API key from the Yandex Developer Dashboard. Once you have your key, you can make HTTP GET requests to the API endpoints. The following example demonstrates how to retrieve a weather forecast for specific coordinates using cURL.

curl -H 'X-Yandex-API-Key: YOUR_API_KEY'
     'https://api.weather.yandex.ru/v2/forecast?lat=55.753215&lon=37.622504&lang=en_US'

Replace YOUR_API_KEY with your actual API key. The lat and lon parameters specify the latitude and longitude for which you want the weather forecast (in this example, Moscow, Russia). The lang parameter determines the language of the response. For a more detailed guide on API parameters and response structures, consult the official Yandex.Weather API documentation.

For Python developers, the process involves using a library like requests to make the HTTP call:

import requests

api_key = 'YOUR_API_KEY'
latitude = 55.753215
longitude = 37.622504

url = f'https://api.weather.yandex.ru/v2/forecast?lat={latitude}&lon={longitude}&lang=en_US'
headers = {
    'X-Yandex-API-Key': api_key
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()  # Raise an exception for HTTP errors (4xx or 5xx)
    weather_data = response.json()
    print(weather_data)
except requests.exceptions.HTTPError as http_err:
    print(f'HTTP error occurred: {http_err}')
except Exception as err:
    print(f'Other error occurred: {err}')

This Python example fetches weather data and prints the JSON response. Error handling is included to manage potential network issues or API errors. Developers should parse the JSON response to extract specific weather attributes needed for their application, referring to the Yandex API's detailed data model documentation.