Integrate the DarkSky API API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular DarkSky API and Python Actions#

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.

Try it

Overview of DarkSky API#

The DarkSky API offers detailed weather information that includes minute-by-minute forecasts, hourly forecasts, and daily summaries. By harnessing this API on Pipedream, you can automate tasks like sending alerts, integrating weather data into event planning platforms, or tailoring content based on weather conditions. With Pipedream’s serverless platform, these use cases become straightforward to implement, and you can trigger workflows with new weather data, schedule checks at regular intervals, or even react to changes in forecasted conditions.

Connect DarkSky API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    darksky_api: {
      type: "app",
      app: "darksky_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.darksky.net/forecast/${this.darksky_api.$auth.secret_key}/37.8267,-122.4233`,
    })
  },
})

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#

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}}

Start for free — no credit card required

Watch a demo