OpenWeather API

Current Weather and Forecasts in your city

Integrate the OpenWeather API API with the Python API

Setup the OpenWeather API API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate OpenWeather API and Python remarkably fast. Free for developers.

Get Current Weather by Location with the OpenWeather API API

Retrieves the current weather condition by location longitude and latitude. See the docs here. For more accurate reading, you are advised to fill in the country and/or state code

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Get Current Weather by ZIP code with the OpenWeather API API

Retrieves the current weather for a given (ZIP, country)

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Get Current Weather Forecast by Location with the OpenWeather API API

Retrieves 1-16 days weather forecast for a specified location. See the docs here. For more accurate reading, you are advised to fill in the country and/or state code

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Get Weather Forecast by ZIP code with the OpenWeather API API

Retrieves the 5-day weather forecast for a given (ZIP, country)

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Overview of OpenWeather API

The OpenWeather API is one of the most powerful and comprehensive weather APIs
available today, allowing developers to build a wide range of applications and
services from simple weather forecasting to complex weather analysis. With
access to global weather data from a wide range of sources, including
professional and amateur weather stations, users can gain insight into climate
change, predict storms and floods, better manage existing and developing
weather hazards, and more.

The OpenWeather API is designed to make life easier for developers, by allowing
users to easily interface with detailed and reliable weather data. Here are a
few ways developers can use the OpenWeather API:

  • Weather Forecasting: Forecast the temperatures and weather conditions of a
    given location in the near and distant future.
  • Real-time Weather Observation: Observe the current weather conditions at a
    given location using real-time data from local and international sources.
  • Rain and Snow Prediction: Predict the amount and intensity of rainfall and
    snowfall in a certain area.
  • Air Pollution Monitoring: Track air pollution levels in a given area.
  • Historical Data Analyses: Analyze past weather and climate data to identify
    patterns and trends.
  • Risk Assessment: Use historical weather data to determine potential for
    extreme weather events and provide risk management solutions.
  • Emergency Preparedness: Prepare for hazardous weather conditions and plan for
    worst-case scenarios by analyzing data from professional and amateur weather

Connect OpenWeather API

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    openweather_api: {
      type: "app",
      app: "openweather_api",
  async run({steps, $}) {
    return await axios($, {
      url: ``,
      params: {
        zip: `20500,us`,
        appid: `${this.openweather_api.$auth.api_key}`,

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

def handler(pd: "pipedream"):
  # Reference data from previous steps
  # Return data for use in future steps
  return {"foo": {"test":True}}