AirNow
Providing the public national air quality information and real-time AQI conditions for over 400 cities across the US.
Integrate the AirNow API with the Python API
Setup the AirNow API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate AirNow and Python remarkably fast. Free for developers.
Popular AirNow 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 AirNow#
The AirNow API provides access to real-time air quality data from across the United States, offering insights into the AQI (Air Quality Index) for various pollutants. With this data, developers can create applications that inform users about the air quality in their immediate environment or trigger actions based on changes in pollution levels. On Pipedream, one can leverage AirNow's data to automate notifications, integrate environmental data into smart home systems, or even drive data analysis and reporting for health and safety monitoring.
Connect AirNow#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
airnow: {
type: "app",
app: "airnow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.airnowapi.org/aq/forecast/zipCode/`,
params: {
format: `application/json`,
API_KEY: `${this.airnow.$auth.api_key}`,
zipCode: `YOUR_ZIP_CODE`,
},
})
},
})
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}}