IQAir AirVisual
IQAir AirVisual provides worldwide air quality, air pollution, and weather data. Real-time data, forecast data, and historical data
Integrate the IQAir AirVisual API with the Python API
Setup the IQAir AirVisual API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate IQAir AirVisual and Python remarkably fast. Free for developers.
Popular IQAir AirVisual and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of IQAir AirVisual#
The IQAir AirVisual API provides access to air quality data from around the world, including real-time pollution levels, forecasts, and historical data. With this data at your fingertips on Pipedream, you can build tailored automations that respond to air quality changes. Imagine triggering notifications, adjusting smart home settings, or compiling analytical reports—all based on accurate environmental insights.
Connect IQAir AirVisual#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
iqair_airvisual: {
type: "app",
app: "iqair_airvisual",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.airvisual.com/v2/countries`,
params: {
key: `${this.iqair_airvisual.$auth.api_key}`,
},
})
},
})
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}}