ColorfulClouds API

Overview

The ColorfulClouds API provides access to hyper-local weather forecasts and real-time precipitation data, distinguishing itself through its minute-by-minute forecasting capabilities. Established in 2015, ColorfulClouds offers a weather data API designed for integration into mobile applications, Internet of Things (IoT) devices, and other systems requiring precise, location-specific weather intelligence. Its core products include the Caiyun Weather App and the Caiyun Weather API, catering to both end-users and developers.

The API is particularly suited for scenarios demanding high temporal and spatial resolution in weather data, such as applications that alert users to impending rain or snow within a very short timeframe. Developers can utilize the API to retrieve current weather conditions, multi-day forecasts, and specific precipitation predictions. The service supports a global coverage, making it suitable for a wide range of geographical applications. Its design emphasizes ease of integration, offering comprehensive documentation and official SDKs for Python, Java, JavaScript, and Go, which can simplify the development process for various programming environments.

For developers, the ColorfulClouds API offers a structured approach to weather data retrieval. The documentation provides clear API endpoints and detailed examples of request and response formats, aiding in efficient implementation (ColorfulClouds API reference). The availability of a free tier, providing 1000 requests per day, allows developers to test and integrate the API into their projects without an initial financial commitment. This facilitates prototyping and development before scaling to higher usage tiers. The API's focus on hyper-local data can be critical for applications where general city-level forecasts are insufficient, such as in agriculture, event planning, or logistics, where precise, localized weather impacts operational decisions.

The API's compliance with GDPR indicates its adherence to data protection standards, which is a consideration for applications handling user location data. Compared to other weather data providers like OpenWeatherMap, ColorfulClouds emphasizes its minute-by-minute precipitation forecasts, which can be a differentiating factor for applications requiring immediate, short-term weather alerts.

Key features

• Hyper-local weather forecasts: Provides minute-by-minute precipitation predictions for specific locations.
• Real-time precipitation alerts: Delivers immediate notifications for incoming rain or snow.
• Global coverage: Offers weather data for locations worldwide.
• Current weather conditions: Access to up-to-date meteorological parameters like temperature, humidity, and wind speed.
• Multi-day forecasts: Provides weather predictions for several days ahead.
• API documentation: Comprehensive guides with clear API endpoints and request/response examples (ColorfulClouds developer documentation).
• Official SDKs: Supports Python, Java, JavaScript, and Go for streamlined integration.
• Free tier: A free plan is available, offering 1000 requests per day.

Pricing

ColorfulClouds offers a free tier and tiered paid plans. The pricing structure is designed to accommodate various usage levels, from individual developers to larger enterprises.

Pricing data as of 2026-05-28. For the most current details, refer to the ColorfulClouds API pricing page.

Common integrations

• Mobile Weather Applications: Integrating real-time and hyper-local forecasts into iOS and Android apps.
• IoT Devices: Providing weather data to smart home systems, agricultural sensors, or outdoor monitoring equipment.
• Logistics and Transportation: Optimizing routes or scheduling based on localized weather conditions.
• Event Management: Planning outdoor events with precise short-term weather predictions.
• Smart Cities: Incorporating weather data into urban planning and public service advisories.

Alternatives

• OpenWeatherMap: Offers a wide range of weather data, including current, forecast, and historical data, with a focus on global coverage.
• AccuWeather: Provides detailed weather forecasts, severe weather alerts, and historical data, often used in professional and commercial applications.
• Weatherstack: A simple REST API for current and historical weather data, known for its ease of integration and global coverage.

Getting started

To get started with the ColorfulClouds API using Python, you typically need to sign up for an API key and then make HTTP requests to the API endpoints. Below is a basic example demonstrating how to fetch current weather data for a specific location using the requests library in Python.

First, ensure you have the requests library installed:

pip install requests

Then, you can use the following Python code. Replace YOUR_API_KEY with your actual API key obtained from the ColorfulClouds developer console (ColorfulClouds API authentication details) and adjust the latitude and longitude for your desired location.

import requests
import json

# Replace with your actual API key
API_KEY = "YOUR_API_KEY"

# Latitude and Longitude for a sample location (e.g., New York City)
LATITUDE = 40.7128
LONGITUDE = -74.0060

# Construct the API endpoint for real-time weather
# The daily endpoint typically gives a summary for the day
# For minute-by-minute, you might use 'minutely' or specific forecast endpoints
API_URL = f"https://api.caiyunapp.com/v2.6/{API_KEY}/{LONGITUDE},{LATITUDE}/realtime.json"

try:
    response = requests.get(API_URL)
    response.raise_for_status()  # Raise an HTTPError for bad responses (4xx or 5xx)
    data = response.json()

    # Print the full response for inspection
    print("Full API Response:")
    print(json.dumps(data, indent=2))

    # Extract and display some key real-time weather information
    if data and data.get("status") == "ok" and "result" in data:
        realtime = data["result"]["realtime"]
        print(f"\nReal-time Weather for {LATITUDE},{LONGITUDE}:")
        print(f"Temperature: {realtime['temperature']} °C")
        print(f"Skycon (Weather condition): {realtime['skycon']}")
        print(f"Humidity: {realtime['humidity']}")
        print(f"Wind Speed: {realtime['wind']['speed']} m/s")
        print(f"Precipitation Intensity: {realtime['precipitation']['local']['intensity']} mm/h")
    else:
        print("Error: Could not retrieve real-time weather data.")
        if "error" in data:
            print(f"API Error Message: {data['error']}")

except requests.exceptions.RequestException as e:
    print(f"Request failed: {e}")
except json.JSONDecodeError:
    print("Failed to decode JSON response.")
except KeyError as e:
    print(f"Missing key in API response: {e}")

This script connects to the ColorfulClouds API to retrieve real-time weather data for a specified latitude and longitude. It then parses the JSON response and prints out key weather metrics. For more detailed forecasts, including minute-by-minute precipitation, you would adjust the API endpoint and parse the corresponding data fields as described in the ColorfulClouds documentation.