Radar
Radar is the leading geofencing platform. We help you build amazing location-based product and service experiences.
Integrate the Radar API with the Python API
Setup the Radar API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Radar and Python remarkably fast. Free for developers.
Popular Radar 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 Radar#
Radar API offers developer-friendly tools for location data and geofencing. This API lets you track user locations, generate location-based events, and create geofences to engage users based on their real-world movements. On Pipedream, you can harness this location intelligence to trigger workflows that empower your apps with contextual user insights, automate location-based marketing, or enhance operational efficiency with geospatial data.
Connect Radar#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
radar: {
type: "app",
app: "radar",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.radar.io/v1/users`,
headers: {
"Authorization": `${this.radar.$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}}