Weatherbit.io

We serve accurate, fast, and highly available Weather API's.

Integrate the Weatherbit.io API with the Python API

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

Fetch Current Weather with the Weatherbit.io API

Fetch current weather from a location. See docs here

 
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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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Fetch Daily Forecast Weather with the Weatherbit.io API

Fetch daily forecast weather from a location. See docs here

 
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Fetch Historical Weather Data with the Weatherbit.io API

Fetch historical wheater data from a location. See docs here

 
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Overview of Weatherbit.io

The Weatherbit.io API offers real-time weather data, forecasts, and historical weather information. By integrating this API with Pipedream, you can automate tasks based on weather conditions, set up alerts, or enrich your app with weather data. This can range from triggering workflows when certain weather thresholds are met, to augmenting business data with weather insights, or automating smart home devices in response to the weather.

Connect Weatherbit.io

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    weatherbit_io: {
      type: "app",
      app: "weatherbit_io",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://api.weatherbit.io/v2.0/current`,
      params: {
        key: `${this.weatherbit_io.$auth.api_key}`,
        city: `{your_city}`,
      },
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}